diff --git a/_quarto.yml b/_quarto.yml index d8d91e16..39a8c880 100644 --- a/_quarto.yml +++ b/_quarto.yml @@ -59,7 +59,6 @@ website: - user_data_notebooks/epa-ch4emission-grid-v2express_User_Notebook.ipynb - user_data_notebooks/vulcan-ffco2-yeargrid-v4_User_Notebook.ipynb - user_data_notebooks/gra2pes-ghg-monthgrid-v1_User_Notebook.ipynb - - user_data_notebooks/tm54dvar-ch4flux-monthgrid-v1_User_Notebook.ipynb - section: Natural Greenhouse Gas Sources Emissions and Sinks contents: - user_data_notebooks/eccodarwin-co2flux-monthgrid-v5_User_Notebook.ipynb @@ -125,7 +124,6 @@ website: - processing_and_verification_reports/ct-ch4-monthgrid-v2023_Processing and Verification Report.qmd - processing_and_verification_reports/epa-ch4emission-grid-v2express_Processing and Verification Report.qmd - processing_and_verification_reports/vulcan-ffco2-yeargrid-v4_Processing and Verification Report.qmd - - processing_and_verification_reports/tm54dvar-ch4flux-monthgrid-v1_Processing and Verification Report.qmd - section: Natural Greenhouse Gas Sources Emissions and Sinks contents: diff --git a/cog_transformation/gosat-based-ch4budget-yeargrid-v1.ipynb b/cog_transformation/gosat-based-ch4budget-yeargrid-v1.ipynb index e7cf2668..830a3758 100644 --- a/cog_transformation/gosat-based-ch4budget-yeargrid-v1.ipynb +++ b/cog_transformation/gosat-based-ch4budget-yeargrid-v1.ipynb @@ -2,13 +2,17 @@ "cells": [ { "cell_type": "raw", - "metadata": {}, + "metadata": { + "vscode": { + "languageId": "raw" + } + }, "source": [ "---\n", - "title: GOSAT-based Top-down Methane Budgets\n", + "title: GOSAT-based Top-down Total and Natural Methane Emissions\n", "description: Documentation of data transformation\n", "author: Vishal Gaur\n", - "date: August 31, 2023\n", + "date: Nov 14, 2024\n", "execute:\n", " freeze: true\n", "---" @@ -18,7 +22,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "This script was used to transform the GOSAT-based Top-down Methane Budgets dataset from netCDF to Cloud Optimized GeoTIFF (COG) format for display in the Greenhouse Gas (GHG) Center.\n" + "This script was used to transform the GOSAT-based Top-down Total and Natural Methane Emissions dataset from netCDF to Cloud Optimized GeoTIFF (COG) format for display in the Greenhouse Gas (GHG) Center.\n" ] }, { diff --git a/cog_transformation/tm54dvar-ch4flux-monthgrid-v1.ipynb b/cog_transformation/tm54dvar-ch4flux-monthgrid-v1.ipynb deleted file mode 100644 index 9ea6d98f..00000000 --- a/cog_transformation/tm54dvar-ch4flux-monthgrid-v1.ipynb +++ /dev/null @@ -1,129 +0,0 @@ -{ - "cells": [ - { - "cell_type": "raw", - "metadata": {}, - "source": [ - "---\n", - "title: TM5-4DVar Isotopic CH₄ Inverse Fluxes\n", - "description: Documentation of data transformation\n", - "author: Vishal Gaur\n", - "date: August 31, 2023\n", - "execute:\n", - " freeze: true\n", - "---" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "This script was used to transform the TM5-4DVar Isotopic CH₄ Inverse Fluxes dataset from netCDF to Cloud Optimized GeoTIFF (COG) format for display in the Greenhouse Gas (GHG) Center." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "import os\n", - "import xarray\n", - "import re\n", - "import pandas as pd\n", - "import json\n", - "import tempfile\n", - "import boto3\n", - "from datetime import datetime" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "session = boto3.session.Session()\n", - "s3_client = session.client(\"s3\")\n", - "bucket_name = (\n", - " \"ghgc-data-store-dev\" # S3 bucket where the COGs are stored after transformation\n", - ")\n", - "FOLDER_NAME = \"tm5-ch4-inverse-flux\"\n", - "\n", - "files_processed = pd.DataFrame(\n", - " columns=[\"file_name\", \"COGs_created\"]\n", - ") # A dataframe to keep track of the files that we have transformed into COGs\n", - "\n", - "# Reading the raw netCDF files from local machine\n", - "for name in os.listdir(FOLDER_NAME):\n", - " xds = xarray.open_dataset(f\"{FOLDER_NAME}/{name}\", engine=\"netcdf4\")\n", - " xds = xds.rename({\"latitude\": \"lat\", \"longitude\": \"lon\"})\n", - " xds = xds.assign_coords(lon=(((xds.lon + 180) % 360) - 180)).sortby(\"lon\")\n", - " variable = [var for var in xds.data_vars if \"global\" not in var]\n", - "\n", - " for time_increment in range(0, len(xds.months)):\n", - " filename = name.split(\"/ \")[-1]\n", - " filename_elements = re.split(\"[_ .]\", filename)\n", - " start_time = datetime(int(filename_elements[-2]), time_increment + 1, 1)\n", - " for var in variable:\n", - " data = getattr(xds.isel(months=time_increment), var)\n", - " data = data.isel(lat=slice(None, None, -1))\n", - " data.rio.set_spatial_dims(\"lon\", \"lat\", inplace=True)\n", - " data.rio.write_crs(\"epsg:4326\", inplace=True)\n", - "\n", - " # # insert date of generated COG into filename\n", - " filename_elements.pop()\n", - " filename_elements[-1] = start_time.strftime(\"%Y%m\")\n", - " filename_elements.insert(2, var)\n", - " cog_filename = \"_\".join(filename_elements)\n", - " # # add extension\n", - " cog_filename = f\"{cog_filename}.tif\"\n", - "\n", - " with tempfile.NamedTemporaryFile() as temp_file:\n", - " data.rio.to_raster(\n", - " temp_file.name,\n", - " driver=\"COG\",\n", - " )\n", - " s3_client.upload_file(\n", - " Filename=temp_file.name,\n", - " Bucket=bucket_name,\n", - " Key=f\"{FOLDER_NAME}/{cog_filename}\",\n", - " )\n", - "\n", - " files_processed = files_processed._append(\n", - " {\"file_name\": name, \"COGs_created\": cog_filename},\n", - " ignore_index=True,\n", - " )\n", - "\n", - " print(f\"Generated and saved COG: {cog_filename}\")\n", - "\n", - "# Generate the json file with the metadata that is present in the netCDF files.\n", - "with tempfile.NamedTemporaryFile(mode=\"w+\") as fp:\n", - " json.dump(xds.attrs, fp)\n", - " json.dump({\"data_dimensions\": dict(xds.dims)}, fp)\n", - " json.dump({\"data_variables\": list(xds.data_vars)}, fp)\n", - " fp.flush()\n", - "\n", - " s3_client.upload_file(\n", - " Filename=fp.name,\n", - " Bucket=bucket_name,\n", - " Key=f\"{FOLDER_NAME}/metadata.json\",\n", - " )\n", - "\n", - "# creating the csv file with the names of files transformed.\n", - "files_processed.to_csv(\n", - " f\"s3://{bucket_name}/{FOLDER_NAME}/files_converted.csv\",\n", - ")\n", - "print(\"Done generating COGs\")\n" - ] - } - ], - "metadata": { - "language_info": { - "name": "python" - }, - "orig_nbformat": 4 - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/data_usage.qmd b/data_usage.qmd deleted file mode 100644 index 68347efb..00000000 --- a/data_usage.qmd +++ /dev/null @@ -1,32 +0,0 @@ ---- -title: "Introduction to U.S. Greenhouse Gas Center: Data Usage Notebooks" -subtitle: "Resource for Exploratory Analysis for the US GHG Center" ---- - -## Welcome {#welcome} - -The [U.S. Greenhouse Gas (GHG) Center](https://earth.gov/ghgcenter) provides a cloud-based system for exploring and analyzing U.S. government and other curated greenhouse gas datasets. - -On this site, you can find the technical documentation for the services the center provides, how to load the datasets, and how the datasets were transformed from their source formats (eg. netCDF, HDF, etc.) into cloud-optimized formats that enable efficient cloud data access and visualization. - - -## Contents - -1. Dataset **usage** examples listed below. - -## Explore Data Usage Notebook - -1. [CASA-GFED3 Land Carbon Flux](user_data_notebooks/casagfed-carbonflux-monthgrid-v3_User_Notebook.ipynb) -2. [Air-Sea CO₂ Flux, ECCO-Darwin Model v5](user_data_notebooks/eccodarwin-co2flux-monthgrid-v5_User_Notebook.ipynb) -3. [EMIT Methane Point Source Plume Complexes](user_data_notebooks/emit-ch4plume-v1_User_Notebook.ipynb) -4. [U.S. Gridded Anthropogenic Methane Emissions Inventory](user_data_notebooks/epa-ch4emission-grid-v2express_User_Notebook.ipynb) -5. [GOSAT-based Top-down Total and Natural Methane Emissions](user_data_notebooks/gosat-based-ch4budget-yeargrid-v1_User_Notebook.ipynb) -6. [Wetland Methane Emissions, LPJ-wsl Model](user_data_notebooks/lpjeosim-wetlandch4-monthgrid-v1_User_Notebook.ipynb) -7. [OCO-2 MIP Top-Down CO₂ Budgets](user_data_notebooks/oco2-mip-co2budget-yeargrid-v1_User_Notebook.ipynb) -8. [OCO-2 GEOS Column CO₂ Concentrations](user_data_notebooks/oco2geos-co2-daygrid-v10r_User_Notebook.ipynb) -9. [ODIAC Fossil Fuel CO₂ Emissions](user_data_notebooks/odiac-ffco2-monthgrid-v2023_User_Notebook.ipynb) -10. [SEDAC Gridded World Population Density](user_data_notebooks/sedac-popdensity-yeargrid5yr-v4.11_User_Notebook.ipynb) -11. [TM5-4DVar Isotopic CH₄ Inverse Fluxes](user_data_notebooks/tm54dvar-ch4flux-monthgrid-v1_User_Notebook.ipynb) -12. [Atmospheric Carbon Dioxide Concentrations from NOAA Global Monitoring Laboratory](user_data_notebooks/noaa-insitu_User_Notebook.ipynb) -13. [Vulcan Fossil Fuel CO₂ Emissions](user_data_notebooks/vulcan-ffco2-yeargrid-v4_User_Notebook.ipynb) -13. [Greenhouse Gas And Air Pollutants Emissions System](user_data_notebooks/gra2pes-ghg-monthgrid-v1_User_Notebook.ipynb) \ No newline at end of file diff --git a/data_workflow/gosat-based-ch4budget-yeargrid-v1_Data_Flow.qmd b/data_workflow/gosat-based-ch4budget-yeargrid-v1_Data_Flow.qmd index d0648754..77e1b731 100644 --- a/data_workflow/gosat-based-ch4budget-yeargrid-v1_Data_Flow.qmd +++ b/data_workflow/gosat-based-ch4budget-yeargrid-v1_Data_Flow.qmd @@ -1,3 +1,3 @@ # GOSAT-based Top-down Total and Natural Methane Emissions -![Data Flow Diagram Extending From Acquisition/Creation to User Delivery](./media/ceos-ch4budget-yeargrid-v1_Data_Flow.png) \ No newline at end of file +![Data Flow Diagram Extending From Acquisition/Creation to User Delivery](./media/gosat-based-ch4budget-yeargrid-v1_Data_Flow.png) \ No newline at end of file diff --git a/data_workflow/media/gosat-based-ch4budget-yeargrid-v1_Data_Flow.png b/data_workflow/media/gosat-based-ch4budget-yeargrid-v1_Data_Flow.png new file mode 100644 index 00000000..8e2e2472 Binary files /dev/null and b/data_workflow/media/gosat-based-ch4budget-yeargrid-v1_Data_Flow.png differ diff --git a/data_workflow/media/tm54dvar-ch4flux-monthgrid-v1_Data_Flow.png b/data_workflow/media/tm54dvar-ch4flux-monthgrid-v1_Data_Flow.png deleted file mode 100644 index 195a169e..00000000 Binary files a/data_workflow/media/tm54dvar-ch4flux-monthgrid-v1_Data_Flow.png and /dev/null differ diff --git a/data_workflow/tm54dvar-ch4flux-monthgrid-v1_Processing and Verification Report.qmd b/data_workflow/tm54dvar-ch4flux-monthgrid-v1_Processing and Verification Report.qmd deleted file mode 100644 index 3ffffd04..00000000 --- a/data_workflow/tm54dvar-ch4flux-monthgrid-v1_Processing and Verification Report.qmd +++ /dev/null @@ -1,9 +0,0 @@ ---- -title: TM5-4DVar Isotopic CH₄ Inverse Fluxes -description: "Global, monthly 1 degree resolution methane emission estimates from microbial, fossil and pyrogenic sources derived using inverse modeling, version 1" ---- - - -

This browser does not support PDFs. Please download the PDF to view it: Download PDF.

- - \ No newline at end of file diff --git a/datatransformationcode.qmd b/datatransformationcode.qmd index b6874fb3..53dae8b9 100644 --- a/datatransformationcode.qmd +++ b/datatransformationcode.qmd @@ -21,7 +21,6 @@ Explore, analyze, and make a difference with the US GHG Center. 4. [U.S. Gridded Anthropogenic Methane Emissions Inventory](cog_transformation/epa-ch4emission-grid-v2express.ipynb) 5. [Vulcan Fossil Fuel CO₂ Emissions](cog_transformation/vulcan-ffco2-yeargrid-v4.ipynb) 6. [GRA²PES Greenhouse Gas and Air Quality Species](cog_transformation/gra2pes-ghg-monthgrid-v1.ipynb) -7. [TM5-4DVar Isotopic CH₄ Inverse Fluxes](cog_transformation/tm54dvar-ch4flux-monthgrid-v1.ipynb) ## Natural Greenhouse Gas Emissions and Sinks 1. [Air-Sea CO₂ Flux, ECCO-Darwin Model v5](cog_transformation/eccodarwin-co2flux-monthgrid-v5.ipynb) diff --git a/datausage.qmd b/datausage.qmd index b24f4180..33fc5fe9 100644 --- a/datausage.qmd +++ b/datausage.qmd @@ -17,15 +17,13 @@ Explore, analyze, and make a difference with the US GHG Center. 2. ODIAC Fossil Fuel CO₂ Emissions - [Beginner level notebook](user_data_notebooks/odiac-ffco2-monthgrid-v2023_User_Notebook.ipynb) to access, visualize, explore statistics, and create a time series of the ODIAC Fossil Fuel CO₂ Emissions dataset. 3. CarbonTracker-CH₄ Isotopic Methane Inverse Fluxes - - [Beginner level notebook](user_data_notebooks/ct-ch4-monthgrid-v2023_User_Notebook.ipynb) to access, visualize, explore statistics, and create a time series of the TM5-4DVar Isotopic CH₄ Inverse Fluxes dataset. + - [Beginner level notebook](user_data_notebooks/ct-ch4-monthgrid-v2023_User_Notebook.ipynb) to access, visualize, explore statistics, and create a time series of the CarbonTracker-CH₄ Isotopic Methane Inverse Fluxes dataset. 4. U.S. Gridded Anthropogenic Methane Emissions Inventory - [Beginner level notebook](user_data_notebooks/epa-ch4emission-grid-v2express_User_Notebook.ipynb) to access, visualize, explore statistics, and create a time series of the U.S. Gridded Anthropogenic Methane Emissions Inventory dataset. 5. Vulcan Fossil Fuel CO₂ Emissions - [Beginner level notebook](user_data_notebooks/vulcan-ffco2-yeargrid-v4_User_Notebook.ipynb) to access, visualize, explore statistics, and create a time series of the Vulcan Fossil Fuel CO₂ Emissions, Version 4 dataset. 6. GRA²PES Greenhouse Gas and Air Quality Species - [Beginner level notebook](user_data_notebooks/gra2pes-ghg-monthgrid-v1_User_Notebook.ipynb) to access, visualize, explore statistics, and create a time series of the GRA2PES, Version 1 dataset. -7. TM5-4DVar Isotopic CH₄ Inverse Fluxes - - [Beginner level notebook](user_data_notebooks/tm54dvar-ch4flux-monthgrid-v1_User_Notebook.ipynb) to access, visualize, explore statistics, and create a time series of the TM5-4DVar Isotopic CH₄ Inverse Fluxes dataset. ## Natural Greenhouse Gas Emissions and Sinks 1. Air-Sea CO₂ Flux, ECCO-Darwin Model v5 @@ -38,11 +36,9 @@ Explore, analyze, and make a difference with the US GHG Center. - [Beginner level notebook](user_data_notebooks/oco2-mip-co2budget-yeargrid-v1_User_Notebook.ipynb) to access, visualize, explore statistics, and create a time series of the OCO-2 MIP Top-Down CO₂ Budgets dataset. - [Intermediate level notebook to read and visualize](user_data_notebooks/oco2-mip-National-co2budget.ipynb)National CO₂ Budgets using OCO-2 MIP Top-Down CO₂ Budget country total data. This notebook utilizes the country totals available at ceos.org/gst/carbon-dioxide, which compliment the global 1° x 1° gridded CO₂ Budget data featured in the US GHG Center. 5. CarbonTracker-CH₄ Isotopic Methane Inverse Fluxes - - [Beginner level notebook](user_data_notebooks/ct-ch4-monthgrid-v2023_User_Notebook.ipynb) to access, visualize, explore statistics, and create a time series of the TM5-4DVar Isotopic CH₄ Inverse Fluxes dataset. + - [Beginner level notebook](user_data_notebooks/ct-ch4-monthgrid-v2023_User_Notebook.ipynb) to access, visualize, explore statistics, and create a time series of the CarbonTracker-CH₄ Isotopic Methane Inverse Fluxes dataset. 6. Wetland Methane Emissions, LPJ-EOSIM model - [Beginner level notebook](user_data_notebooks/lpjeosim-wetlandch4-grid-v1_User_Notebook.ipynb) to access, visualize, explore statistics, and create a time series of the Wetland Methane Emissions, LPJ-EOSIM model dataset. -7. TM5-4DVar Isotopic CH₄ Inverse Fluxes - - [Beginner level notebook](user_data_notebooks/tm54dvar-ch4flux-monthgrid-v1_User_Notebook.ipynb) to access, visualize, explore statistics, and create a time series of the TM5-4DVar Isotopic CH₄ Inverse Fluxes dataset. ## Large Emissions Events 1. EMIT Methane Point Source Plume Complexes diff --git a/processing_and_verification_reports/tm54dvar-ch4flux-monthgrid-v1_Processing and Verification Report.qmd b/processing_and_verification_reports/tm54dvar-ch4flux-monthgrid-v1_Processing and Verification Report.qmd deleted file mode 100644 index 3ffffd04..00000000 --- a/processing_and_verification_reports/tm54dvar-ch4flux-monthgrid-v1_Processing and Verification Report.qmd +++ /dev/null @@ -1,9 +0,0 @@ ---- -title: TM5-4DVar Isotopic CH₄ Inverse Fluxes -description: "Global, monthly 1 degree resolution methane emission estimates from microbial, fossil and pyrogenic sources derived using inverse modeling, version 1" ---- - - -

This browser does not support PDFs. Please download the PDF to view it: Download PDF.

- - \ No newline at end of file diff --git a/processingreport.qmd b/processingreport.qmd index e3997fa6..27a2ab60 100644 --- a/processingreport.qmd +++ b/processingreport.qmd @@ -20,7 +20,7 @@ Explore, analyze, and make a difference with the US GHG Center. 4. [U.S. Gridded Anthropogenic Methane Emissions Inventory Processing and Verification Report](processing_and_verification_reports/epa-ch4emission-grid-v2express_Processing and Verification Report.qmd) 5. [Vulcan Fossil Fuel CO₂ Emissions Processing and Verification Report](processing_and_verification_reports/vulcan-ffco2-yeargrid-v4_Processing and Verification Report.qmd) 6. [GRA²PES Greenhouse Gas and Air Quality Species Processing and Verification Report](processing_and_verification_reports/gra2pes-ghg-monthgrid-v1_Processing and Verification Report.qmd) -7. [TM5-4DVar Isotopic CH₄ Inverse Fluxes Processing and Verification Report](processing_and_verification_reports/tm54dvar-ch4flux-monthgrid-v1_Processing and Verification Report.qmd) + ## Natural Greenhouse Gas Emissions and Sinks 1. [Air-Sea CO₂ Flux, ECCO-Darwin Model v5 Processing and Verification Report](processing_and_verification_reports/eccodarwin-co2flux-monthgrid-v5_Processing and Verification Report.qmd) diff --git a/user_data_notebooks/ct-ch4-monthgrid-v2023_User_Notebook.ipynb b/user_data_notebooks/ct-ch4-monthgrid-v2023_User_Notebook.ipynb index 223e4cca..0464c23c 100644 --- a/user_data_notebooks/ct-ch4-monthgrid-v2023_User_Notebook.ipynb +++ b/user_data_notebooks/ct-ch4-monthgrid-v2023_User_Notebook.ipynb @@ -110,7 +110,7 @@ "RASTER_API_URL = \"https://earth.gov/ghgcenter/api/raster\"\n", "\n", "# The collection name is used to fetch the dataset from the STAC API. First, we define the collection name as a variable\n", - "# Name of the collection for TM5 CH₄ inverse flux dataset \n", + "# Name of the collection for CarbonTracker-CH₄ Isotopic Methane Inverse Fluxes \n", "collection_name = \"ct-ch4-monthgrid-v2023\"" ] }, @@ -310,7 +310,7 @@ "\n", "# Next, we need to specify the asset name for this collection\n", "# The asset name is referring to the raster band containing the pixel values for the parameter of interest\n", - "# For the case of the TM5-4DVar Isotopic CH₄ Inverse Fluxes collection, the parameter of interest is “fossil”\n", + "# For the case of the CarbonTracker-CH₄ Isotopic Methane Inverse Fluxes collection, the parameter of interest is “fossil”\n", "asset_name = \"fossil\" #fossil fuel" ] }, @@ -1741,7 +1741,7 @@ "source": [ "## Summary\n", "\n", - "In this notebook we have successfully explored, analyzed, and visualized the STAC collection for TM5-4DVar Isotopic CH₄ Inverse Fluxes dataset.\n", + "In this notebook we have successfully explored, analyzed, and visualized the STAC collection for CarbonTracker-CH₄ Isotopic Methane Inverse Fluxes dataset.\n", "\n", "1. Install and import the necessary libraries\n", "2. Fetch the collection from STAC collections using the appropriate endpoints\n", diff --git a/user_data_notebooks/tm54dvar-ch4flux-monthgrid-v1_User_Notebook.ipynb b/user_data_notebooks/tm54dvar-ch4flux-monthgrid-v1_User_Notebook.ipynb deleted file mode 100644 index 2c7a0730..00000000 --- a/user_data_notebooks/tm54dvar-ch4flux-monthgrid-v1_User_Notebook.ipynb +++ /dev/null @@ -1,2170 +0,0 @@ -{ - "cells": [ - { - "cell_type": "raw", - "metadata": {}, - "source": [ - "---\n", - "title: TM5-4DVar Isotopic CH₄ Inverse Fluxes\n", - "description: Global, monthly 1 degree resolution methane emission estimates from microbial, fossil and pyrogenic sources derived using inverse modeling, version 1.\n", - "author: Siddharth Chaudhary, Vishal Gaur\n", - "date: 22 August 2023\n", - "execute:\n", - " freeze: true\n", - "---" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Run this notebook\n", - "\n", - "You can launch this notebook in the US GHG Center JupyterHub by clicking the link below.\n", - "\n", - "[Launch in the US GHG Center JupyterHub (requires access)](https://hub.ghg.center/hub/user-redirect/git-pull?repo=https%3A%2F%2Fgithub.com%2FUS-GHG-Center%2Fghgc-docs&urlpath=lab%2Ftree%2Fghgc-docs%2Fuser_data_notebooks%2Ftm54dvar-ch4flux-monthgrid-v1_User_Notebook.ipynb&branch=main)\n", - " " - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Approach\n", - "\n", - "1. Identify available dates and temporal frequency of observations for the given collection using the GHGC API `/stac` endpoint. The collection processed in this notebook is the TM5-4DVar Isotopic CH₄ Inverse Fluxes Data product.\n", - "2. Pass the STAC item into the raster API `/collections/{collection_id}/items/{item_id}/tilejson.json `endpoint.\n", - "3. Using `folium.plugins.DualMap`, we will visualize two tiles (side-by-side), allowing us to compare time points. \n", - "4. After the visualization, we will perform zonal statistics for a given polygon.\n", - "\n", - " " - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## About the Data\n", - "\n", - "Surface methane (CH₄) emissions are derived from atmospheric measurements of methane and its ¹³C carbon isotope content. Different sources of methane contain different ratios of the two stable isotopologues, ¹²CH₄ and ¹³CH₄. This makes normally indistinguishable collocated sources of methane, say from agriculture and oil and gas exploration, distinguishable. The National Oceanic and Atmospheric Administration (NOAA) collects whole air samples from its global cooperative network of flasks (https://gml.noaa.gov/ccgg/about.html), which are then analyzed for methane and other trace gasses. A subset of those flasks are also analyzed for ¹³C of methane in collaboration with the Institute of Arctic and Alpine Research at the University of Colorado Boulder. Scientists at the National Aeronautics and Space Administration (NASA) and NOAA used those measurements of methane and ¹³C of methane in conjunction with a model of atmospheric circulation to estimate emissions of methane separated by three source types, microbial, fossil and pyrogenic.\n", - "\n", - "For more information regarding this dataset, please visit the [TM5-4DVar Isotopic CH₄ Inverse Fluxes](https://earth.gov/ghgcenter/data-catalog/tm54dvar-ch4flux-monthgrid-v1) data overview page." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Install the Required Libraries\n", - "Required libraries are pre-installed on the GHG Center Hub. If you need to run this notebook elsewhere, please install them with this line in a code cell:\n", - "\n", - "%pip install requests folium rasterstats pystac_client pandas matplotlib --quiet" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/Users/rrimal/Library/Python/3.9/lib/python/site-packages/urllib3/__init__.py:35: NotOpenSSLWarning: urllib3 v2 only supports OpenSSL 1.1.1+, currently the 'ssl' module is compiled with 'LibreSSL 2.8.3'. See: https://github.com/urllib3/urllib3/issues/3020\n", - " warnings.warn(\n" - ] - } - ], - "source": [ - "# Import the following libraries\n", - "import requests\n", - "import folium\n", - "import folium.plugins\n", - "from folium import Map, TileLayer\n", - "from pystac_client import Client\n", - "import branca\n", - "import pandas as pd\n", - "import matplotlib.pyplot as plt" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Querying the STAC API\n", - "First, we are going to import the required libraries. Once imported, they allow better executing a query in the GHG Center Spatio Temporal Asset Catalog (STAC) Application Programming Interface (API) where the granules for this collection are stored." - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "# Provide the STAC and RASTER API endpoints\n", - "# The endpoint is referring to a location within the API that executes a request on a data collection nesting on the server.\n", - "\n", - "# The STAC API is a catalog of all the existing data collections that are stored in the GHG Center.\n", - "STAC_API_URL = \"https://earth.gov/ghgcenter/api/stac\"\n", - "\n", - "# The RASTER API is used to fetch collections for visualization\n", - "RASTER_API_URL = \"https://earth.gov/ghgcenter/api/raster\"\n", - "\n", - "# The collection name is used to fetch the dataset from the STAC API. First, we define the collection name as a variable\n", - "# Name of the collection for TM5 CH₄ inverse flux dataset \n", - "collection_name = \"tm54dvar-ch4flux-monthgrid-v1\"" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{'id': 'tm54dvar-ch4flux-monthgrid-v1',\n", - " 'type': 'Collection',\n", - " 'links': [{'rel': 'items',\n", - " 'type': 'application/geo+json',\n", - " 'href': 'https://earth.gov/ghgcenter/api/stac/collections/tm54dvar-ch4flux-monthgrid-v1/items'},\n", - " {'rel': 'parent',\n", - " 'type': 'application/json',\n", - " 'href': 'https://earth.gov/ghgcenter/api/stac/'},\n", - " {'rel': 'root',\n", - " 'type': 'application/json',\n", - " 'href': 'https://earth.gov/ghgcenter/api/stac/'},\n", - " {'rel': 'self',\n", - " 'type': 'application/json',\n", - " 'href': 'https://earth.gov/ghgcenter/api/stac/collections/tm54dvar-ch4flux-monthgrid-v1'}],\n", - " 'title': 'TM5-4DVar Isotopic CH4 Inverse Fluxes',\n", - " 'assets': None,\n", - " 'extent': {'spatial': {'bbox': [[-180, -90, 180, 90]]},\n", - " 'temporal': {'interval': [['1999-01-01T00:00:00+00:00',\n", - " '2016-12-31T00:00:00+00:00']]}},\n", - " 'license': 'CC-BY-4.0',\n", - " 'keywords': None,\n", - " 'providers': None,\n", - " 'summaries': {'datetime': ['1999-01-01T00:00:00Z', '2016-12-31T00:00:00Z']},\n", - " 'description': 'Global, monthly 1 degree resolution methane emission estimates from microbial, fossil and pyrogenic sources derived using inverse modeling, version 1.',\n", - " 'item_assets': {'total': {'type': 'image/tiff; application=geotiff; profile=cloud-optimized',\n", - " 'roles': ['data', 'layer'],\n", - " 'title': 'Total CH4 Emission',\n", - " 'description': 'Total methane emission from microbial, fossil and pyrogenic sources'},\n", - " 'fossil': {'type': 'image/tiff; application=geotiff; profile=cloud-optimized',\n", - " 'roles': ['data', 'layer'],\n", - " 'title': 'Fossil CH4 Emission',\n", - " 'description': 'Emission of methane from all fossil sources, such as oil and gas activities and coal mining.'},\n", - " 'microbial': {'type': 'image/tiff; application=geotiff; profile=cloud-optimized',\n", - " 'roles': ['data', 'layer'],\n", - " 'title': 'Microbial CH4 Emission',\n", - " 'description': 'Emission of methane from all microbial sources, such as wetlands, agriculture and termites.'},\n", - " 'pyrogenic': {'type': 'image/tiff; application=geotiff; profile=cloud-optimized',\n", - " 'roles': ['data', 'layer'],\n", - " 'title': 'Pyrogenic CH4 Emission',\n", - " 'description': 'Emission of methane from all sources of biomass burning, such as wildfires and crop burning.'}},\n", - " 'stac_version': '1.0.0',\n", - " 'stac_extensions': None,\n", - " 'dashboard:is_periodic': True,\n", - " 'dashboard:time_density': 'month'}" - ] - }, - "execution_count": 3, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# Fetch the collection from the STAC API using the appropriate endpoint\n", - "# The 'requests' library allows a HTTP request possible\n", - "collection = requests.get(f\"{STAC_API_URL}/collections/{collection_name}\").json()\n", - "\n", - "# Print the properties of the collection to the console\n", - "collection" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Examining the contents of our `collection` under the `temporal` variable, we see that the data is available from January 1999 to December 2016. By looking at the `dashboard:time density`, we observe that the data is periodic with monthly time density." - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [], - "source": [ - "# Create a function that would search for a data collection in the US GHG Center STAC API\n", - "\n", - "# First, we need to define the function\n", - "# The name of the function = \"get_item_count\"\n", - "# The argument that will be passed through the defined function = \"collection_id\"\n", - "def get_item_count(collection_id):\n", - "\n", - " # Set a counter for the number of items existing in the collection\n", - " count = 0\n", - "\n", - " # Define the path to retrieve the granules (items) of the collection of interest in the STAC API\n", - " items_url = f\"{STAC_API_URL}/collections/{collection_id}/items\"\n", - "\n", - " # Run a while loop to make HTTP requests until there are no more URLs associated with the collection in the STAC API\n", - " while True:\n", - "\n", - " # Retrieve information about the granules by sending a \"get\" request to the STAC API using the defined collection path\n", - " response = requests.get(items_url)\n", - "\n", - " # If the items do not exist, print an error message and quit the loop\n", - " if not response.ok:\n", - " print(\"error getting items\")\n", - " exit()\n", - "\n", - " # Return the results of the HTTP response as JSON\n", - " stac = response.json()\n", - "\n", - " # Increase the \"count\" by the number of items (granules) returned in the response\n", - " count += int(stac[\"context\"].get(\"returned\", 0))\n", - "\n", - " # Retrieve information about the next URL associated with the collection in the STAC API (if applicable)\n", - " next = [link for link in stac[\"links\"] if link[\"rel\"] == \"next\"]\n", - "\n", - " # Exit the loop if there are no other URLs\n", - " if not next:\n", - " break\n", - " \n", - " # Ensure the information gathered by other STAC API links associated with the collection are added to the original path\n", - " # \"href\" is the identifier for each of the tiles stored in the STAC API\n", - " items_url = next[0][\"href\"]\n", - "\n", - " # Return the information about the total number of granules found associated with the collection\n", - " return count" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Found 216 items\n" - ] - } - ], - "source": [ - "# Apply the function created above \"get_item_count\" to the data collection\n", - "number_of_items = get_item_count(collection_name)\n", - "\n", - "# Get the information about the number of granules found in the collection\n", - "items = requests.get(f\"{STAC_API_URL}/collections/{collection_name}/items?limit={number_of_items}\").json()[\"features\"]\n", - "\n", - "# Print the total number of items (granules) found\n", - "print(f\"Found {len(items)} items\")" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{'id': 'tm54dvar-ch4flux-monthgrid-v1-201612',\n", - " 'bbox': [-180.0, -90.0, 180.0, 90.0],\n", - " 'type': 'Feature',\n", - " 'links': [{'rel': 'collection',\n", - " 'type': 'application/json',\n", - " 'href': 'https://earth.gov/ghgcenter/api/stac/collections/tm54dvar-ch4flux-monthgrid-v1'},\n", - " {'rel': 'parent',\n", - " 'type': 'application/json',\n", - " 'href': 'https://earth.gov/ghgcenter/api/stac/collections/tm54dvar-ch4flux-monthgrid-v1'},\n", - " {'rel': 'root',\n", - " 'type': 'application/json',\n", - " 'href': 'https://earth.gov/ghgcenter/api/stac/'},\n", - " {'rel': 'self',\n", - " 'type': 'application/geo+json',\n", - " 'href': 'https://earth.gov/ghgcenter/api/stac/collections/tm54dvar-ch4flux-monthgrid-v1/items/tm54dvar-ch4flux-monthgrid-v1-201612'}],\n", - " 'assets': {'total': {'href': 's3://ghgc-data-store/tm54dvar-ch4flux-monthgrid-v1/methane_emis_total_201612.tif',\n", - " 'type': 'image/tiff; application=geotiff; profile=cloud-optimized',\n", - " 'roles': ['data', 'layer'],\n", - " 'title': 'Total CH4 Emission',\n", - " 'proj:bbox': [-180.0, -90.0, 180.0, 90.0],\n", - " 'proj:epsg': 4326.0,\n", - " 'proj:shape': [180.0, 360.0],\n", - " 'description': 'Total methane emission from microbial, fossil and pyrogenic sources',\n", - " 'raster:bands': [{'scale': 1.0,\n", - " 'offset': 0.0,\n", - " 'sampling': 'area',\n", - " 'data_type': 'float64',\n", - " 'histogram': {'max': 207.09559432166358,\n", - " 'min': 0.0,\n", - " 'count': 11.0,\n", - " 'buckets': [64446.0, 253.0, 61.0, 16.0, 14.0, 4.0, 3.0, 0.0, 2.0, 1.0]},\n", - " 'statistics': {'mean': 0.7699816366032659,\n", - " 'stddev': 3.8996905358416045,\n", - " 'maximum': 207.09559432166358,\n", - " 'minimum': 0.0,\n", - " 'valid_percent': 0.00154320987654321}}],\n", - " 'proj:geometry': {'type': 'Polygon',\n", - " 'coordinates': [[[-180.0, -90.0],\n", - " [180.0, -90.0],\n", - " [180.0, 90.0],\n", - " [-180.0, 90.0],\n", - " [-180.0, -90.0]]]},\n", - " 'proj:projjson': {'id': {'code': 4326.0, 'authority': 'EPSG'},\n", - " 'name': 'WGS 84',\n", - " 'type': 'GeographicCRS',\n", - " 'datum': {'name': 'World Geodetic System 1984',\n", - " 'type': 'GeodeticReferenceFrame',\n", - " 'ellipsoid': {'name': 'WGS 84',\n", - " 'semi_major_axis': 6378137.0,\n", - " 'inverse_flattening': 298.257223563}},\n", - " '$schema': 'https://proj.org/schemas/v0.4/projjson.schema.json',\n", - " 'coordinate_system': {'axis': [{'name': 'Geodetic latitude',\n", - " 'unit': 'degree',\n", - " 'direction': 'north',\n", - " 'abbreviation': 'Lat'},\n", - " {'name': 'Geodetic longitude',\n", - " 'unit': 'degree',\n", - " 'direction': 'east',\n", - " 'abbreviation': 'Lon'}],\n", - " 'subtype': 'ellipsoidal'}},\n", - " 'proj:transform': [1.0, 0.0, -180.0, 0.0, -1.0, 90.0, 0.0, 0.0, 1.0]},\n", - " 'fossil': {'href': 's3://ghgc-data-store/tm54dvar-ch4flux-monthgrid-v1/methane_emis_fossil_201612.tif',\n", - " 'type': 'image/tiff; application=geotiff; profile=cloud-optimized',\n", - " 'roles': ['data', 'layer'],\n", - " 'title': 'Fossil CH4 Emission',\n", - " 'proj:bbox': [-180.0, -90.0, 180.0, 90.0],\n", - " 'proj:epsg': 4326.0,\n", - " 'proj:shape': [180.0, 360.0],\n", - " 'description': 'Emission of methane from all fossil sources, such as oil and gas activities and coal mining.',\n", - " 'raster:bands': [{'scale': 1.0,\n", - " 'offset': 0.0,\n", - " 'sampling': 'area',\n", - " 'data_type': 'float64',\n", - " 'histogram': {'max': 202.8189294183266,\n", - " 'min': 0.0,\n", - " 'count': 11.0,\n", - " 'buckets': [64633.0, 107.0, 35.0, 11.0, 8.0, 3.0, 1.0, 1.0, 0.0, 1.0]},\n", - " 'statistics': {'mean': 0.27127687553584495,\n", - " 'stddev': 2.731411670166909,\n", - " 'maximum': 202.8189294183266,\n", - " 'minimum': 0.0,\n", - " 'valid_percent': 0.00154320987654321}}],\n", - " 'proj:geometry': {'type': 'Polygon',\n", - " 'coordinates': [[[-180.0, -90.0],\n", - " [180.0, -90.0],\n", - " [180.0, 90.0],\n", - " [-180.0, 90.0],\n", - " [-180.0, -90.0]]]},\n", - " 'proj:projjson': {'id': {'code': 4326.0, 'authority': 'EPSG'},\n", - " 'name': 'WGS 84',\n", - " 'type': 'GeographicCRS',\n", - " 'datum': {'name': 'World Geodetic System 1984',\n", - " 'type': 'GeodeticReferenceFrame',\n", - " 'ellipsoid': {'name': 'WGS 84',\n", - " 'semi_major_axis': 6378137.0,\n", - " 'inverse_flattening': 298.257223563}},\n", - " '$schema': 'https://proj.org/schemas/v0.4/projjson.schema.json',\n", - " 'coordinate_system': {'axis': [{'name': 'Geodetic latitude',\n", - " 'unit': 'degree',\n", - " 'direction': 'north',\n", - " 'abbreviation': 'Lat'},\n", - " {'name': 'Geodetic longitude',\n", - " 'unit': 'degree',\n", - " 'direction': 'east',\n", - " 'abbreviation': 'Lon'}],\n", - " 'subtype': 'ellipsoidal'}},\n", - " 'proj:transform': [1.0, 0.0, -180.0, 0.0, -1.0, 90.0, 0.0, 0.0, 1.0]},\n", - " 'microbial': {'href': 's3://ghgc-data-store/tm54dvar-ch4flux-monthgrid-v1/methane_emis_microbial_201612.tif',\n", - " 'type': 'image/tiff; application=geotiff; profile=cloud-optimized',\n", - " 'roles': ['data', 'layer'],\n", - " 'title': 'Microbial CH4 Emission',\n", - " 'proj:bbox': [-180.0, -90.0, 180.0, 90.0],\n", - " 'proj:epsg': 4326.0,\n", - " 'proj:shape': [180.0, 360.0],\n", - " 'description': 'Emission of methane from all microbial sources, such as wetlands, agriculture and termites.',\n", - " 'raster:bands': [{'scale': 1.0,\n", - " 'offset': 0.0,\n", - " 'sampling': 'area',\n", - " 'data_type': 'float64',\n", - " 'histogram': {'max': 161.4604621003495,\n", - " 'min': 0.0,\n", - " 'count': 11.0,\n", - " 'buckets': [64610.0, 155.0, 22.0, 5.0, 2.0, 2.0, 2.0, 1.0, 0.0, 1.0]},\n", - " 'statistics': {'mean': 0.46611433673211145,\n", - " 'stddev': 2.2910210071489456,\n", - " 'maximum': 161.4604621003495,\n", - " 'minimum': 0.0,\n", - " 'valid_percent': 0.00154320987654321}}],\n", - " 'proj:geometry': {'type': 'Polygon',\n", - " 'coordinates': [[[-180.0, -90.0],\n", - " [180.0, -90.0],\n", - " [180.0, 90.0],\n", - " [-180.0, 90.0],\n", - " [-180.0, -90.0]]]},\n", - " 'proj:projjson': {'id': {'code': 4326.0, 'authority': 'EPSG'},\n", - " 'name': 'WGS 84',\n", - " 'type': 'GeographicCRS',\n", - " 'datum': {'name': 'World Geodetic System 1984',\n", - " 'type': 'GeodeticReferenceFrame',\n", - " 'ellipsoid': {'name': 'WGS 84',\n", - " 'semi_major_axis': 6378137.0,\n", - " 'inverse_flattening': 298.257223563}},\n", - " '$schema': 'https://proj.org/schemas/v0.4/projjson.schema.json',\n", - " 'coordinate_system': {'axis': [{'name': 'Geodetic latitude',\n", - " 'unit': 'degree',\n", - " 'direction': 'north',\n", - " 'abbreviation': 'Lat'},\n", - " {'name': 'Geodetic longitude',\n", - " 'unit': 'degree',\n", - " 'direction': 'east',\n", - " 'abbreviation': 'Lon'}],\n", - " 'subtype': 'ellipsoidal'}},\n", - " 'proj:transform': [1.0, 0.0, -180.0, 0.0, -1.0, 90.0, 0.0, 0.0, 1.0]},\n", - " 'pyrogenic': {'href': 's3://ghgc-data-store/tm54dvar-ch4flux-monthgrid-v1/methane_emis_pyrogenic_201612.tif',\n", - " 'type': 'image/tiff; application=geotiff; profile=cloud-optimized',\n", - " 'roles': ['data', 'layer'],\n", - " 'title': 'Pyrogenic CH4 Emission',\n", - " 'proj:bbox': [-180.0, -90.0, 180.0, 90.0],\n", - " 'proj:epsg': 4326.0,\n", - " 'proj:shape': [180.0, 360.0],\n", - " 'description': 'Emission of methane from all sources of biomass burning, such as wildfires and crop burning.',\n", - " 'raster:bands': [{'scale': 1.0,\n", - " 'offset': 0.0,\n", - " 'sampling': 'area',\n", - " 'data_type': 'float64',\n", - " 'histogram': {'max': 13.432528617097262,\n", - " 'min': 0.0,\n", - " 'count': 11.0,\n", - " 'buckets': [64440.0, 221.0, 78.0, 24.0, 18.0, 8.0, 3.0, 1.0, 1.0, 6.0]},\n", - " 'statistics': {'mean': 0.032590424335309266,\n", - " 'stddev': 0.28279054181617735,\n", - " 'maximum': 13.432528617097262,\n", - " 'minimum': 0.0,\n", - " 'valid_percent': 0.00154320987654321}}],\n", - " 'proj:geometry': {'type': 'Polygon',\n", - " 'coordinates': [[[-180.0, -90.0],\n", - " [180.0, -90.0],\n", - " [180.0, 90.0],\n", - " [-180.0, 90.0],\n", - " [-180.0, -90.0]]]},\n", - " 'proj:projjson': {'id': {'code': 4326.0, 'authority': 'EPSG'},\n", - " 'name': 'WGS 84',\n", - " 'type': 'GeographicCRS',\n", - " 'datum': {'name': 'World Geodetic System 1984',\n", - " 'type': 'GeodeticReferenceFrame',\n", - " 'ellipsoid': {'name': 'WGS 84',\n", - " 'semi_major_axis': 6378137.0,\n", - " 'inverse_flattening': 298.257223563}},\n", - " '$schema': 'https://proj.org/schemas/v0.4/projjson.schema.json',\n", - " 'coordinate_system': {'axis': [{'name': 'Geodetic latitude',\n", - " 'unit': 'degree',\n", - " 'direction': 'north',\n", - " 'abbreviation': 'Lat'},\n", - " {'name': 'Geodetic longitude',\n", - " 'unit': 'degree',\n", - " 'direction': 'east',\n", - " 'abbreviation': 'Lon'}],\n", - " 'subtype': 'ellipsoidal'}},\n", - " 'proj:transform': [1.0, 0.0, -180.0, 0.0, -1.0, 90.0, 0.0, 0.0, 1.0]}},\n", - " 'geometry': {'type': 'Polygon',\n", - " 'coordinates': [[[-180, -90],\n", - " [180, -90],\n", - " [180, 90],\n", - " [-180, 90],\n", - " [-180, -90]]]},\n", - " 'collection': 'tm54dvar-ch4flux-monthgrid-v1',\n", - " 'properties': {'end_datetime': '2016-12-31T00:00:00+00:00',\n", - " 'start_datetime': '2016-12-01T00:00:00+00:00'},\n", - " 'stac_version': '1.0.0',\n", - " 'stac_extensions': []}" - ] - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# Examine the first item in the collection\n", - "# Keep in mind that a list starts from 0, 1, 2... therefore items[0] is referring to the first item in the list/collection\n", - "items[0]" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Exploring Changes in CH₄ flux Levels Using the Raster API\n", - "\n", - "In this notebook, we will explore the global changes of CH₄ flux over time in urban regions. We will visualize the outputs on a map using `folium`." - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [], - "source": [ - "# Now we create a dictionary where the start datetime values for each granule is queried more explicitly by year and month (e.g., 2020-02)\n", - "items = {item[\"properties\"][\"start_datetime\"][:10]: item for item in items} \n", - "\n", - "# Next, we need to specify the asset name for this collection\n", - "# The asset name is referring to the raster band containing the pixel values for the parameter of interest\n", - "# For the case of the TM5-4DVar Isotopic CH₄ Inverse Fluxes collection, the parameter of interest is “fossil”\n", - "asset_name = \"fossil\" #fossil fuel" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Below, we are entering the minimum and maximum values to provide our upper and lower bounds in the `rescale_values`." - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [], - "source": [ - "# Fetching the min and max values for a specific item\n", - "rescale_values = {\"max\":items[list(items.keys())[0]][\"assets\"][asset_name][\"raster:bands\"][0][\"histogram\"][\"max\"], \"min\":items[list(items.keys())[0]][\"assets\"][asset_name][\"raster:bands\"][0][\"histogram\"][\"min\"]}" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Now, we will pass the item id, collection name, asset name, and the `rescaling factor` to the `Raster API` endpoint. We will do this twice, once for 2016 and again for 1999, so that we can visualize each event independently." - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{'tilejson': '2.2.0',\n", - " 'version': '1.0.0',\n", - " 'scheme': 'xyz',\n", - " 'tiles': ['https://earth.gov/ghgcenter/api/raster/collections/tm54dvar-ch4flux-monthgrid-v1/items/tm54dvar-ch4flux-monthgrid-v1-201612/tiles/WebMercatorQuad/{z}/{x}/{y}@1x?assets=fossil&color_formula=gamma+r+1.05&colormap_name=purd&rescale=0.0%2C202.8189294183266'],\n", - " 'minzoom': 0,\n", - " 'maxzoom': 24,\n", - " 'bounds': [-180.0, -90.0, 180.0, 90.0],\n", - " 'center': [0.0, 0.0, 0]}" - ] - }, - "execution_count": 9, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# Choose a color map for displaying the first observation (event)\n", - "# Please refer to matplotlib library if you'd prefer choosing a different color ramp.\n", - "# For more information on Colormaps in Matplotlib, please visit https://matplotlib.org/stable/users/explain/colors/colormaps.html\n", - "color_map = \"purd\"\n", - "\n", - "# Make a GET request to retrieve information for the 2016 tile\n", - "ch4_flux_1 = requests.get(\n", - "\n", - " # Pass the collection name, the item number in the list, and its ID\n", - " f\"{RASTER_API_URL}/collections/{items['2016-12-01']['collection']}/items/{items['2016-12-01']['id']}/tilejson.json?\"\n", - "\n", - " # Pass the asset name\n", - " f\"&assets={asset_name}\"\n", - "\n", - " # Pass the color formula and colormap for custom visualization\n", - " f\"&color_formula=gamma+r+1.05&colormap_name={color_map}\"\n", - "\n", - " # Pass the minimum and maximum values for rescaling\n", - " f\"&rescale={rescale_values['min']},{rescale_values['max']}\", \n", - "\n", - "# Return the response in JSON format\n", - ").json()\n", - "\n", - "# Print the properties of the retrieved granule to the console\n", - "ch4_flux_1" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{'tilejson': '2.2.0',\n", - " 'version': '1.0.0',\n", - " 'scheme': 'xyz',\n", - " 'tiles': ['https://earth.gov/ghgcenter/api/raster/collections/tm54dvar-ch4flux-monthgrid-v1/items/tm54dvar-ch4flux-monthgrid-v1-199912/tiles/WebMercatorQuad/{z}/{x}/{y}@1x?assets=fossil&color_formula=gamma+r+1.05&colormap_name=purd&rescale=0.0%2C202.8189294183266'],\n", - " 'minzoom': 0,\n", - " 'maxzoom': 24,\n", - " 'bounds': [-180.0, -90.0, 180.0, 90.0],\n", - " 'center': [0.0, 0.0, 0]}" - ] - }, - "execution_count": 10, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# Make a GET request to retrieve information for the 1999 tile\n", - "ch4_flux_2 = requests.get(\n", - "\n", - " # Pass the collection name, the item number in the list, and its ID\n", - " f\"{RASTER_API_URL}/collections/{items['1999-12-01']['collection']}/items/{items['1999-12-01']['id']}/tilejson.json?\"\n", - "\n", - " # Pass the asset name\n", - " f\"&assets={asset_name}\"\n", - "\n", - " # Pass the color formula and colormap for custom visualization\n", - " f\"&color_formula=gamma+r+1.05&colormap_name={color_map}\"\n", - "\n", - " # Pass the minimum and maximum values for rescaling\n", - " f\"&rescale={rescale_values['min']},{rescale_values['max']}\", \n", - "\n", - "# Return the response in JSON format\n", - ").json()\n", - "\n", - "# Print the properties of the retrieved granule to the console\n", - "ch4_flux_2" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Visualizing CH₄ flux Emissions from Fossil Fuel" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
Make this Notebook Trusted to load map: File -> Trust Notebook
" - ], - "text/plain": [ - "" - ] - }, - "execution_count": 11, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# For this study we are going to compare CH4 fluxes from fossil fuels in 2016 and 1999 along the coast of California\n", - "# To change the location, you can simply insert the latitude and longitude of the area of your interest in the \"location=(LAT, LONG)\" statement\n", - "\n", - "# Set the initial zoom level and center of map for both tiles\n", - "# 'folium.plugins' allows mapping side-by-side\n", - "map_ = folium.plugins.DualMap(location=(34, -118), zoom_start=6)\n", - "\n", - "# Define the first map layer (2016)\n", - "map_layer_2016 = TileLayer(\n", - " tiles=ch4_flux_1[\"tiles\"][0], # Path to retrieve the tile\n", - " attr=\"GHG\", # Set the attribution\n", - " opacity=0.8, # Adjust the transparency of the layer\n", - ")\n", - "# Add the first layer to the Dual Map\n", - "map_layer_2016.add_to(map_.m1)\n", - "\n", - "\n", - "# Define the second map layer (1999)\n", - "map_layer_1999 = TileLayer(\n", - " tiles=ch4_flux_2[\"tiles\"][0], # Path to retrieve the tile\n", - " attr=\"GHG\", # Set the attribution\n", - " opacity=0.8, # Adjust the transparency of the layer\n", - ")\n", - "\n", - "# Add the second layer to the Dual Map\n", - "map_layer_1999.add_to(map_.m2)\n", - "\n", - "# Visualize the Dual Map\n", - "map_" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Calculating Zonal Statistics" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "To perform zonal statistics, first we need to create a polygon. In this use case we are creating a polygon in Texas (USA)." - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [], - "source": [ - "# Create a polygon for the area of interest (aoi)\n", - "texas_aoi = {\n", - " \"type\": \"Feature\", # Create a feature object\n", - " \"properties\": {},\n", - " \"geometry\": { # Set the bounding coordinates for the polygon\n", - " \"coordinates\": [\n", - " [\n", - " [-95, 29], # South-east bounding coordinate\n", - " [-95, 33], # North-east bounding coordinate\n", - " [-104,33], # North-west bounding coordinate\n", - " [-104,29], # South-west bounding coordinate\n", - " [-95, 29] # South-east bounding coordinate (closing the polygon)\n", - " ]\n", - " ],\n", - " \"type\": \"Polygon\",\n", - " },\n", - "}" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
Make this Notebook Trusted to load map: File -> Trust Notebook
" - ], - "text/plain": [ - "" - ] - }, - "execution_count": 13, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# Create a new map to display the generated polygon\n", - "# We'll plug in the coordinates for a location\n", - "# Central to the study area and a reasonable zoom level\n", - "aoi_map = Map(\n", - "\n", - " # Base map is set to OpenStreetMap\n", - " tiles=\"OpenStreetMap\",\n", - "\n", - " # Define the spatial properties for the map\n", - " location=[\n", - " 30,-100\n", - " ],\n", - "\n", - " # Set the zoom value\n", - " zoom_start=6,\n", - ")\n", - "\n", - "# Insert the polygon to the map\n", - "folium.GeoJson(texas_aoi, name=\"Texas, USA\").add_to(aoi_map)\n", - "\n", - "# Visualize the map\n", - "aoi_map" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Found 216 items\n" - ] - } - ], - "source": [ - "# Check total number of items available within the collection\n", - "items = requests.get(\n", - " f\"{STAC_API_URL}/collections/{collection_name}/items?limit=600\"\n", - ").json()[\"features\"]\n", - "\n", - "# Print the total number of items (granules) found\n", - "print(f\"Found {len(items)} items\")" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{'id': 'tm54dvar-ch4flux-monthgrid-v1-201612',\n", - " 'bbox': [-180.0, -90.0, 180.0, 90.0],\n", - " 'type': 'Feature',\n", - " 'links': [{'rel': 'collection',\n", - " 'type': 'application/json',\n", - " 'href': 'https://earth.gov/ghgcenter/api/stac/collections/tm54dvar-ch4flux-monthgrid-v1'},\n", - " {'rel': 'parent',\n", - " 'type': 'application/json',\n", - " 'href': 'https://earth.gov/ghgcenter/api/stac/collections/tm54dvar-ch4flux-monthgrid-v1'},\n", - " {'rel': 'root',\n", - " 'type': 'application/json',\n", - " 'href': 'https://earth.gov/ghgcenter/api/stac/'},\n", - " {'rel': 'self',\n", - " 'type': 'application/geo+json',\n", - " 'href': 'https://earth.gov/ghgcenter/api/stac/collections/tm54dvar-ch4flux-monthgrid-v1/items/tm54dvar-ch4flux-monthgrid-v1-201612'}],\n", - " 'assets': {'total': {'href': 's3://ghgc-data-store/tm54dvar-ch4flux-monthgrid-v1/methane_emis_total_201612.tif',\n", - " 'type': 'image/tiff; application=geotiff; profile=cloud-optimized',\n", - " 'roles': ['data', 'layer'],\n", - " 'title': 'Total CH4 Emission',\n", - " 'proj:bbox': [-180.0, -90.0, 180.0, 90.0],\n", - " 'proj:epsg': 4326.0,\n", - " 'proj:shape': [180.0, 360.0],\n", - " 'description': 'Total methane emission from microbial, fossil and pyrogenic sources',\n", - " 'raster:bands': [{'scale': 1.0,\n", - " 'offset': 0.0,\n", - " 'sampling': 'area',\n", - " 'data_type': 'float64',\n", - " 'histogram': {'max': 207.09559432166358,\n", - " 'min': 0.0,\n", - " 'count': 11.0,\n", - " 'buckets': [64446.0, 253.0, 61.0, 16.0, 14.0, 4.0, 3.0, 0.0, 2.0, 1.0]},\n", - " 'statistics': {'mean': 0.7699816366032659,\n", - " 'stddev': 3.8996905358416045,\n", - " 'maximum': 207.09559432166358,\n", - " 'minimum': 0.0,\n", - " 'valid_percent': 0.00154320987654321}}],\n", - " 'proj:geometry': {'type': 'Polygon',\n", - " 'coordinates': [[[-180.0, -90.0],\n", - " [180.0, -90.0],\n", - " [180.0, 90.0],\n", - " [-180.0, 90.0],\n", - " [-180.0, -90.0]]]},\n", - " 'proj:projjson': {'id': {'code': 4326.0, 'authority': 'EPSG'},\n", - " 'name': 'WGS 84',\n", - " 'type': 'GeographicCRS',\n", - " 'datum': {'name': 'World Geodetic System 1984',\n", - " 'type': 'GeodeticReferenceFrame',\n", - " 'ellipsoid': {'name': 'WGS 84',\n", - " 'semi_major_axis': 6378137.0,\n", - " 'inverse_flattening': 298.257223563}},\n", - " '$schema': 'https://proj.org/schemas/v0.4/projjson.schema.json',\n", - " 'coordinate_system': {'axis': [{'name': 'Geodetic latitude',\n", - " 'unit': 'degree',\n", - " 'direction': 'north',\n", - " 'abbreviation': 'Lat'},\n", - " {'name': 'Geodetic longitude',\n", - " 'unit': 'degree',\n", - " 'direction': 'east',\n", - " 'abbreviation': 'Lon'}],\n", - " 'subtype': 'ellipsoidal'}},\n", - " 'proj:transform': [1.0, 0.0, -180.0, 0.0, -1.0, 90.0, 0.0, 0.0, 1.0]},\n", - " 'fossil': {'href': 's3://ghgc-data-store/tm54dvar-ch4flux-monthgrid-v1/methane_emis_fossil_201612.tif',\n", - " 'type': 'image/tiff; application=geotiff; profile=cloud-optimized',\n", - " 'roles': ['data', 'layer'],\n", - " 'title': 'Fossil CH4 Emission',\n", - " 'proj:bbox': [-180.0, -90.0, 180.0, 90.0],\n", - " 'proj:epsg': 4326.0,\n", - " 'proj:shape': [180.0, 360.0],\n", - " 'description': 'Emission of methane from all fossil sources, such as oil and gas activities and coal mining.',\n", - " 'raster:bands': [{'scale': 1.0,\n", - " 'offset': 0.0,\n", - " 'sampling': 'area',\n", - " 'data_type': 'float64',\n", - " 'histogram': {'max': 202.8189294183266,\n", - " 'min': 0.0,\n", - " 'count': 11.0,\n", - " 'buckets': [64633.0, 107.0, 35.0, 11.0, 8.0, 3.0, 1.0, 1.0, 0.0, 1.0]},\n", - " 'statistics': {'mean': 0.27127687553584495,\n", - " 'stddev': 2.731411670166909,\n", - " 'maximum': 202.8189294183266,\n", - " 'minimum': 0.0,\n", - " 'valid_percent': 0.00154320987654321}}],\n", - " 'proj:geometry': {'type': 'Polygon',\n", - " 'coordinates': [[[-180.0, -90.0],\n", - " [180.0, -90.0],\n", - " [180.0, 90.0],\n", - " [-180.0, 90.0],\n", - " [-180.0, -90.0]]]},\n", - " 'proj:projjson': {'id': {'code': 4326.0, 'authority': 'EPSG'},\n", - " 'name': 'WGS 84',\n", - " 'type': 'GeographicCRS',\n", - " 'datum': {'name': 'World Geodetic System 1984',\n", - " 'type': 'GeodeticReferenceFrame',\n", - " 'ellipsoid': {'name': 'WGS 84',\n", - " 'semi_major_axis': 6378137.0,\n", - " 'inverse_flattening': 298.257223563}},\n", - " '$schema': 'https://proj.org/schemas/v0.4/projjson.schema.json',\n", - " 'coordinate_system': {'axis': [{'name': 'Geodetic latitude',\n", - " 'unit': 'degree',\n", - " 'direction': 'north',\n", - " 'abbreviation': 'Lat'},\n", - " {'name': 'Geodetic longitude',\n", - " 'unit': 'degree',\n", - " 'direction': 'east',\n", - " 'abbreviation': 'Lon'}],\n", - " 'subtype': 'ellipsoidal'}},\n", - " 'proj:transform': [1.0, 0.0, -180.0, 0.0, -1.0, 90.0, 0.0, 0.0, 1.0]},\n", - " 'microbial': {'href': 's3://ghgc-data-store/tm54dvar-ch4flux-monthgrid-v1/methane_emis_microbial_201612.tif',\n", - " 'type': 'image/tiff; application=geotiff; profile=cloud-optimized',\n", - " 'roles': ['data', 'layer'],\n", - " 'title': 'Microbial CH4 Emission',\n", - " 'proj:bbox': [-180.0, -90.0, 180.0, 90.0],\n", - " 'proj:epsg': 4326.0,\n", - " 'proj:shape': [180.0, 360.0],\n", - " 'description': 'Emission of methane from all microbial sources, such as wetlands, agriculture and termites.',\n", - " 'raster:bands': [{'scale': 1.0,\n", - " 'offset': 0.0,\n", - " 'sampling': 'area',\n", - " 'data_type': 'float64',\n", - " 'histogram': {'max': 161.4604621003495,\n", - " 'min': 0.0,\n", - " 'count': 11.0,\n", - " 'buckets': [64610.0, 155.0, 22.0, 5.0, 2.0, 2.0, 2.0, 1.0, 0.0, 1.0]},\n", - " 'statistics': {'mean': 0.46611433673211145,\n", - " 'stddev': 2.2910210071489456,\n", - " 'maximum': 161.4604621003495,\n", - " 'minimum': 0.0,\n", - " 'valid_percent': 0.00154320987654321}}],\n", - " 'proj:geometry': {'type': 'Polygon',\n", - " 'coordinates': [[[-180.0, -90.0],\n", - " [180.0, -90.0],\n", - " [180.0, 90.0],\n", - " [-180.0, 90.0],\n", - " [-180.0, -90.0]]]},\n", - " 'proj:projjson': {'id': {'code': 4326.0, 'authority': 'EPSG'},\n", - " 'name': 'WGS 84',\n", - " 'type': 'GeographicCRS',\n", - " 'datum': {'name': 'World Geodetic System 1984',\n", - " 'type': 'GeodeticReferenceFrame',\n", - " 'ellipsoid': {'name': 'WGS 84',\n", - " 'semi_major_axis': 6378137.0,\n", - " 'inverse_flattening': 298.257223563}},\n", - " '$schema': 'https://proj.org/schemas/v0.4/projjson.schema.json',\n", - " 'coordinate_system': {'axis': [{'name': 'Geodetic latitude',\n", - " 'unit': 'degree',\n", - " 'direction': 'north',\n", - " 'abbreviation': 'Lat'},\n", - " {'name': 'Geodetic longitude',\n", - " 'unit': 'degree',\n", - " 'direction': 'east',\n", - " 'abbreviation': 'Lon'}],\n", - " 'subtype': 'ellipsoidal'}},\n", - " 'proj:transform': [1.0, 0.0, -180.0, 0.0, -1.0, 90.0, 0.0, 0.0, 1.0]},\n", - " 'pyrogenic': {'href': 's3://ghgc-data-store/tm54dvar-ch4flux-monthgrid-v1/methane_emis_pyrogenic_201612.tif',\n", - " 'type': 'image/tiff; application=geotiff; profile=cloud-optimized',\n", - " 'roles': ['data', 'layer'],\n", - " 'title': 'Pyrogenic CH4 Emission',\n", - " 'proj:bbox': [-180.0, -90.0, 180.0, 90.0],\n", - " 'proj:epsg': 4326.0,\n", - " 'proj:shape': [180.0, 360.0],\n", - " 'description': 'Emission of methane from all sources of biomass burning, such as wildfires and crop burning.',\n", - " 'raster:bands': [{'scale': 1.0,\n", - " 'offset': 0.0,\n", - " 'sampling': 'area',\n", - " 'data_type': 'float64',\n", - " 'histogram': {'max': 13.432528617097262,\n", - " 'min': 0.0,\n", - " 'count': 11.0,\n", - " 'buckets': [64440.0, 221.0, 78.0, 24.0, 18.0, 8.0, 3.0, 1.0, 1.0, 6.0]},\n", - " 'statistics': {'mean': 0.032590424335309266,\n", - " 'stddev': 0.28279054181617735,\n", - " 'maximum': 13.432528617097262,\n", - " 'minimum': 0.0,\n", - " 'valid_percent': 0.00154320987654321}}],\n", - " 'proj:geometry': {'type': 'Polygon',\n", - " 'coordinates': [[[-180.0, -90.0],\n", - " [180.0, -90.0],\n", - " [180.0, 90.0],\n", - " [-180.0, 90.0],\n", - " [-180.0, -90.0]]]},\n", - " 'proj:projjson': {'id': {'code': 4326.0, 'authority': 'EPSG'},\n", - " 'name': 'WGS 84',\n", - " 'type': 'GeographicCRS',\n", - " 'datum': {'name': 'World Geodetic System 1984',\n", - " 'type': 'GeodeticReferenceFrame',\n", - " 'ellipsoid': {'name': 'WGS 84',\n", - " 'semi_major_axis': 6378137.0,\n", - " 'inverse_flattening': 298.257223563}},\n", - " '$schema': 'https://proj.org/schemas/v0.4/projjson.schema.json',\n", - " 'coordinate_system': {'axis': [{'name': 'Geodetic latitude',\n", - " 'unit': 'degree',\n", - " 'direction': 'north',\n", - " 'abbreviation': 'Lat'},\n", - " {'name': 'Geodetic longitude',\n", - " 'unit': 'degree',\n", - " 'direction': 'east',\n", - " 'abbreviation': 'Lon'}],\n", - " 'subtype': 'ellipsoidal'}},\n", - " 'proj:transform': [1.0, 0.0, -180.0, 0.0, -1.0, 90.0, 0.0, 0.0, 1.0]}},\n", - " 'geometry': {'type': 'Polygon',\n", - " 'coordinates': [[[-180, -90],\n", - " [180, -90],\n", - " [180, 90],\n", - " [-180, 90],\n", - " [-180, -90]]]},\n", - " 'collection': 'tm54dvar-ch4flux-monthgrid-v1',\n", - " 'properties': {'end_datetime': '2016-12-31T00:00:00+00:00',\n", - " 'start_datetime': '2016-12-01T00:00:00+00:00'},\n", - " 'stac_version': '1.0.0',\n", - " 'stac_extensions': []}" - ] - }, - "execution_count": 15, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# Examine the first item in the collection\n", - "items[0]" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Now that we created the polygon for the area of interest, we need to develop a function that runs through the data collection and generates the statistics for a specific item (granule) within the boundaries of the AOI polygon." - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": {}, - "outputs": [], - "source": [ - "# The bounding box should be passed to the geojson param as a geojson Feature or FeatureCollection\n", - "# Create a function that retrieves information regarding a specific granule using its asset name and raster identifier and generates the statistics for it\n", - "\n", - "# The function takes an item (granule) and a JSON (polygon) as input parameters\n", - "def generate_stats(item, geojson):\n", - "\n", - " # A POST request is made to submit the data associated with the item of interest (specific observation) within the boundaries of the polygon to compute its statistics\n", - " result = requests.post(\n", - "\n", - " # Raster API Endpoint for computing statistics\n", - " f\"{RASTER_API_URL}/cog/statistics\",\n", - "\n", - " # Pass the URL to the item, asset name, and raster identifier as parameters\n", - " params={\"url\": item[\"assets\"][asset_name][\"href\"]},\n", - "\n", - " # Send the GeoJSON object (polygon) along with the request\n", - " json=geojson,\n", - "\n", - " # Return the response in JSON format\n", - " ).json()\n", - "\n", - " # Print the result\n", - " print(result)\n", - "\n", - " # Return a dictionary containing the computed statistics along with the item's datetime information.\n", - " return {\n", - " **result[\"properties\"],\n", - " \"datetime\": item[\"properties\"][\"start_datetime\"][:10],\n", - " }" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "2016-12-01\n" - ] - } - ], - "source": [ - "# Generate a for loop that iterates over all the existing items in the collection\n", - "for item in items:\n", - "\n", - " # The loop will then retrieve the information for the start datetime of each item in the list\n", - " print(item[\"properties\"][\"start_datetime\"][:10])\n", - "\n", - " # Exit the loop after printing the start datetime for the first item in the collection\n", - " break" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "With the function above we can generate the statistics for the AOI." - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.0464402866499578, 'max': 49.61378870603235, 'mean': 9.039553150168388, 'count': 36.0, 'sum': 325.42391340606196, 'std': 11.97160706711745, 'median': 3.662876577293575, 'majority': 0.0464402866499578, 'minority': 0.0464402866499578, 'unique': 36.0, 'histogram': [[18.0, 9.0, 1.0, 2.0, 2.0, 2.0, 0.0, 0.0, 1.0, 1.0], [0.0464402866499578, 5.003175128588197, 9.959909970526436, 14.916644812464675, 19.873379654402914, 24.830114496341153, 29.786849338279392, 34.74358418021763, 39.700319022155874, 44.65705386409412, 49.61378870603235]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.0464402866499578, 'percentile_98': 49.61378870603235}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.0464402866499578, 'max': 49.61378870603235, 'mean': 9.039553150168388, 'count': 36.0, 'sum': 325.42391340606196, 'std': 11.97160706711745, 'median': 3.662876577293576, 'majority': 0.0464402866499578, 'minority': 0.0464402866499578, 'unique': 36.0, 'histogram': [[18.0, 9.0, 1.0, 2.0, 2.0, 2.0, 0.0, 0.0, 1.0, 1.0], [0.0464402866499578, 5.003175128588197, 9.959909970526436, 14.916644812464675, 19.873379654402914, 24.830114496341153, 29.786849338279392, 34.74358418021763, 39.700319022155874, 44.65705386409412, 49.61378870603235]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.0464402866499578, 'percentile_98': 49.61378870603235}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.0464402866499578, 'max': 49.61378870603235, 'mean': 9.039553150168388, 'count': 36.0, 'sum': 325.42391340606196, 'std': 11.97160706711745, 'median': 3.662876577293575, 'majority': 0.0464402866499578, 'minority': 0.0464402866499578, 'unique': 36.0, 'histogram': [[18.0, 9.0, 1.0, 2.0, 2.0, 2.0, 0.0, 0.0, 1.0, 1.0], [0.0464402866499578, 5.003175128588197, 9.959909970526436, 14.916644812464675, 19.873379654402914, 24.830114496341153, 29.786849338279392, 34.74358418021763, 39.700319022155874, 44.65705386409412, 49.61378870603235]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.0464402866499578, 'percentile_98': 49.61378870603235}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.0464402866499578, 'max': 49.61378870603235, 'mean': 9.039553150168388, 'count': 36.0, 'sum': 325.42391340606196, 'std': 11.97160706711745, 'median': 3.662876577293576, 'majority': 0.0464402866499578, 'minority': 0.0464402866499578, 'unique': 36.0, 'histogram': [[18.0, 9.0, 1.0, 2.0, 2.0, 2.0, 0.0, 0.0, 1.0, 1.0], [0.0464402866499578, 5.003175128588197, 9.959909970526436, 14.916644812464675, 19.873379654402914, 24.830114496341153, 29.786849338279392, 34.74358418021763, 39.700319022155874, 44.65705386409412, 49.61378870603235]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.0464402866499578, 'percentile_98': 49.61378870603235}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.0464402866499578, 'max': 49.61378870603235, 'mean': 9.039553150168388, 'count': 36.0, 'sum': 325.42391340606196, 'std': 11.97160706711745, 'median': 3.662876577293575, 'majority': 0.0464402866499578, 'minority': 0.0464402866499578, 'unique': 36.0, 'histogram': [[18.0, 9.0, 1.0, 2.0, 2.0, 2.0, 0.0, 0.0, 1.0, 1.0], [0.0464402866499578, 5.003175128588197, 9.959909970526436, 14.916644812464675, 19.873379654402914, 24.830114496341153, 29.786849338279392, 34.74358418021763, 39.700319022155874, 44.65705386409412, 49.61378870603235]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.0464402866499578, 'percentile_98': 49.61378870603235}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.0464402866499578, 'max': 49.61378870603235, 'mean': 9.039553150168388, 'count': 36.0, 'sum': 325.42391340606196, 'std': 11.97160706711745, 'median': 3.662876577293575, 'majority': 0.0464402866499578, 'minority': 0.0464402866499578, 'unique': 36.0, 'histogram': [[18.0, 9.0, 1.0, 2.0, 2.0, 2.0, 0.0, 0.0, 1.0, 1.0], [0.0464402866499578, 5.003175128588197, 9.959909970526436, 14.916644812464675, 19.873379654402914, 24.830114496341153, 29.786849338279392, 34.74358418021763, 39.700319022155874, 44.65705386409412, 49.61378870603235]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.0464402866499578, 'percentile_98': 49.61378870603235}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.0464402866499578, 'max': 49.61378870603235, 'mean': 9.039553150168388, 'count': 36.0, 'sum': 325.42391340606196, 'std': 11.97160706711745, 'median': 3.662876577293576, 'majority': 0.0464402866499578, 'minority': 0.0464402866499578, 'unique': 36.0, 'histogram': [[18.0, 9.0, 1.0, 2.0, 2.0, 2.0, 0.0, 0.0, 1.0, 1.0], [0.0464402866499578, 5.003175128588197, 9.959909970526436, 14.916644812464675, 19.873379654402914, 24.830114496341153, 29.786849338279392, 34.74358418021763, 39.700319022155874, 44.65705386409412, 49.61378870603235]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.0464402866499578, 'percentile_98': 49.61378870603235}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.0464402866499578, 'max': 49.61378870603235, 'mean': 9.039553150168388, 'count': 36.0, 'sum': 325.42391340606196, 'std': 11.97160706711745, 'median': 3.662876577293575, 'majority': 0.0464402866499578, 'minority': 0.0464402866499578, 'unique': 36.0, 'histogram': [[18.0, 9.0, 1.0, 2.0, 2.0, 2.0, 0.0, 0.0, 1.0, 1.0], [0.0464402866499578, 5.003175128588197, 9.959909970526436, 14.916644812464675, 19.873379654402914, 24.830114496341153, 29.786849338279392, 34.74358418021763, 39.700319022155874, 44.65705386409412, 49.61378870603235]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.0464402866499578, 'percentile_98': 49.61378870603235}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.0464402866499578, 'max': 49.61378870603235, 'mean': 9.039553150168388, 'count': 36.0, 'sum': 325.42391340606196, 'std': 11.97160706711745, 'median': 3.662876577293576, 'majority': 0.0464402866499578, 'minority': 0.0464402866499578, 'unique': 36.0, 'histogram': [[18.0, 9.0, 1.0, 2.0, 2.0, 2.0, 0.0, 0.0, 1.0, 1.0], [0.0464402866499578, 5.003175128588197, 9.959909970526436, 14.916644812464675, 19.873379654402914, 24.830114496341153, 29.786849338279392, 34.74358418021763, 39.700319022155874, 44.65705386409412, 49.61378870603235]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.0464402866499578, 'percentile_98': 49.61378870603235}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.0464402866499578, 'max': 49.61378870603235, 'mean': 9.039553150168388, 'count': 36.0, 'sum': 325.42391340606196, 'std': 11.97160706711745, 'median': 3.662876577293575, 'majority': 0.0464402866499578, 'minority': 0.0464402866499578, 'unique': 36.0, 'histogram': [[18.0, 9.0, 1.0, 2.0, 2.0, 2.0, 0.0, 0.0, 1.0, 1.0], [0.0464402866499578, 5.003175128588197, 9.959909970526436, 14.916644812464675, 19.873379654402914, 24.830114496341153, 29.786849338279392, 34.74358418021763, 39.700319022155874, 44.65705386409412, 49.61378870603235]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.0464402866499578, 'percentile_98': 49.61378870603235}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.046440286649957814, 'max': 49.61378870603235, 'mean': 9.039553150168388, 'count': 36.0, 'sum': 325.42391340606196, 'std': 11.97160706711745, 'median': 3.6628765772935767, 'majority': 0.046440286649957814, 'minority': 0.046440286649957814, 'unique': 36.0, 'histogram': [[18.0, 9.0, 1.0, 2.0, 2.0, 2.0, 0.0, 0.0, 1.0, 1.0], [0.046440286649957814, 5.003175128588197, 9.959909970526436, 14.916644812464675, 19.873379654402914, 24.830114496341153, 29.786849338279392, 34.74358418021763, 39.700319022155874, 44.65705386409412, 49.61378870603235]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.046440286649957814, 'percentile_98': 49.61378870603235}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.0464402866499578, 'max': 49.61378870603235, 'mean': 9.039553150168388, 'count': 36.0, 'sum': 325.42391340606196, 'std': 11.97160706711745, 'median': 3.662876577293575, 'majority': 0.0464402866499578, 'minority': 0.0464402866499578, 'unique': 36.0, 'histogram': [[18.0, 9.0, 1.0, 2.0, 2.0, 2.0, 0.0, 0.0, 1.0, 1.0], [0.0464402866499578, 5.003175128588197, 9.959909970526436, 14.916644812464675, 19.873379654402914, 24.830114496341153, 29.786849338279392, 34.74358418021763, 39.700319022155874, 44.65705386409412, 49.61378870603235]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.0464402866499578, 'percentile_98': 49.61378870603235}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.03709242852969095, 'max': 39.62714368102128, 'mean': 7.220002358949011, 'count': 36.0, 'sum': 259.9200849221644, 'std': 9.561869909840457, 'median': 2.9255846046002905, 'majority': 0.03709242852969095, 'minority': 0.03709242852969095, 'unique': 36.0, 'histogram': [[18.0, 9.0, 1.0, 2.0, 2.0, 2.0, 0.0, 0.0, 1.0, 1.0], [0.03709242852969095, 3.9960975537788497, 7.955102679028009, 11.914107804277167, 15.873112929526327, 19.832118054775485, 23.79112318002464, 27.7501283052738, 31.70913343052296, 35.66813855577212, 39.62714368102128]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.03709242852969095, 'percentile_98': 39.62714368102128}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.03709242852969095, 'max': 39.62714368102128, 'mean': 7.220002358949011, 'count': 36.0, 'sum': 259.9200849221644, 'std': 9.561869909840457, 'median': 2.9255846046002913, 'majority': 0.03709242852969095, 'minority': 0.03709242852969095, 'unique': 36.0, 'histogram': [[18.0, 9.0, 1.0, 2.0, 2.0, 2.0, 0.0, 0.0, 1.0, 1.0], [0.03709242852969095, 3.9960975537788497, 7.955102679028009, 11.914107804277167, 15.873112929526327, 19.832118054775485, 23.79112318002464, 27.7501283052738, 31.70913343052296, 35.66813855577212, 39.62714368102128]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.03709242852969095, 'percentile_98': 39.62714368102128}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.03709242852969095, 'max': 39.62714368102128, 'mean': 7.220002358949011, 'count': 36.0, 'sum': 259.9200849221644, 'std': 9.561869909840457, 'median': 2.9255846046002905, 'majority': 0.03709242852969095, 'minority': 0.03709242852969095, 'unique': 36.0, 'histogram': [[18.0, 9.0, 1.0, 2.0, 2.0, 2.0, 0.0, 0.0, 1.0, 1.0], [0.03709242852969095, 3.9960975537788497, 7.955102679028009, 11.914107804277167, 15.873112929526327, 19.832118054775485, 23.79112318002464, 27.7501283052738, 31.70913343052296, 35.66813855577212, 39.62714368102128]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.03709242852969095, 'percentile_98': 39.62714368102128}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.03709242852969095, 'max': 39.62714368102128, 'mean': 7.220002358949011, 'count': 36.0, 'sum': 259.9200849221644, 'std': 9.561869909840457, 'median': 2.9255846046002913, 'majority': 0.03709242852969095, 'minority': 0.03709242852969095, 'unique': 36.0, 'histogram': [[18.0, 9.0, 1.0, 2.0, 2.0, 2.0, 0.0, 0.0, 1.0, 1.0], [0.03709242852969095, 3.9960975537788497, 7.955102679028009, 11.914107804277167, 15.873112929526327, 19.832118054775485, 23.79112318002464, 27.7501283052738, 31.70913343052296, 35.66813855577212, 39.62714368102128]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.03709242852969095, 'percentile_98': 39.62714368102128}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.03709242852969095, 'max': 39.62714368102128, 'mean': 7.220002358949011, 'count': 36.0, 'sum': 259.9200849221644, 'std': 9.561869909840457, 'median': 2.9255846046002905, 'majority': 0.03709242852969095, 'minority': 0.03709242852969095, 'unique': 36.0, 'histogram': [[18.0, 9.0, 1.0, 2.0, 2.0, 2.0, 0.0, 0.0, 1.0, 1.0], [0.03709242852969095, 3.9960975537788497, 7.955102679028009, 11.914107804277167, 15.873112929526327, 19.832118054775485, 23.79112318002464, 27.7501283052738, 31.70913343052296, 35.66813855577212, 39.62714368102128]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.03709242852969095, 'percentile_98': 39.62714368102128}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.03709242852969095, 'max': 39.62714368102128, 'mean': 7.220002358949011, 'count': 36.0, 'sum': 259.9200849221644, 'std': 9.561869909840457, 'median': 2.9255846046002905, 'majority': 0.03709242852969095, 'minority': 0.03709242852969095, 'unique': 36.0, 'histogram': [[18.0, 9.0, 1.0, 2.0, 2.0, 2.0, 0.0, 0.0, 1.0, 1.0], [0.03709242852969095, 3.9960975537788497, 7.955102679028009, 11.914107804277167, 15.873112929526327, 19.832118054775485, 23.79112318002464, 27.7501283052738, 31.70913343052296, 35.66813855577212, 39.62714368102128]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.03709242852969095, 'percentile_98': 39.62714368102128}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.03709242852969095, 'max': 39.62714368102128, 'mean': 7.220002358949011, 'count': 36.0, 'sum': 259.9200849221644, 'std': 9.561869909840457, 'median': 2.9255846046002913, 'majority': 0.03709242852969095, 'minority': 0.03709242852969095, 'unique': 36.0, 'histogram': [[18.0, 9.0, 1.0, 2.0, 2.0, 2.0, 0.0, 0.0, 1.0, 1.0], [0.03709242852969095, 3.9960975537788497, 7.955102679028009, 11.914107804277167, 15.873112929526327, 19.832118054775485, 23.79112318002464, 27.7501283052738, 31.70913343052296, 35.66813855577212, 39.62714368102128]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.03709242852969095, 'percentile_98': 39.62714368102128}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.03709242852969095, 'max': 39.62714368102128, 'mean': 7.220002358949011, 'count': 36.0, 'sum': 259.9200849221644, 'std': 9.561869909840457, 'median': 2.9255846046002905, 'majority': 0.03709242852969095, 'minority': 0.03709242852969095, 'unique': 36.0, 'histogram': [[18.0, 9.0, 1.0, 2.0, 2.0, 2.0, 0.0, 0.0, 1.0, 1.0], [0.03709242852969095, 3.9960975537788497, 7.955102679028009, 11.914107804277167, 15.873112929526327, 19.832118054775485, 23.79112318002464, 27.7501283052738, 31.70913343052296, 35.66813855577212, 39.62714368102128]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.03709242852969095, 'percentile_98': 39.62714368102128}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.03709242852969095, 'max': 39.62714368102128, 'mean': 7.220002358949011, 'count': 36.0, 'sum': 259.9200849221644, 'std': 9.561869909840457, 'median': 2.9255846046002913, 'majority': 0.03709242852969095, 'minority': 0.03709242852969095, 'unique': 36.0, 'histogram': [[18.0, 9.0, 1.0, 2.0, 2.0, 2.0, 0.0, 0.0, 1.0, 1.0], [0.03709242852969095, 3.9960975537788497, 7.955102679028009, 11.914107804277167, 15.873112929526327, 19.832118054775485, 23.79112318002464, 27.7501283052738, 31.70913343052296, 35.66813855577212, 39.62714368102128]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.03709242852969095, 'percentile_98': 39.62714368102128}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.03709242852969095, 'max': 39.62714368102128, 'mean': 7.220002358949011, 'count': 36.0, 'sum': 259.9200849221644, 'std': 9.561869909840457, 'median': 2.9255846046002905, 'majority': 0.03709242852969095, 'minority': 0.03709242852969095, 'unique': 36.0, 'histogram': [[18.0, 9.0, 1.0, 2.0, 2.0, 2.0, 0.0, 0.0, 1.0, 1.0], [0.03709242852969095, 3.9960975537788497, 7.955102679028009, 11.914107804277167, 15.873112929526327, 19.832118054775485, 23.79112318002464, 27.7501283052738, 31.70913343052296, 35.66813855577212, 39.62714368102128]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.03709242852969095, 'percentile_98': 39.62714368102128}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.03709242852969095, 'max': 39.62714368102128, 'mean': 7.220002358949011, 'count': 36.0, 'sum': 259.9200849221644, 'std': 9.561869909840457, 'median': 2.9255846046002913, 'majority': 0.03709242852969095, 'minority': 0.03709242852969095, 'unique': 36.0, 'histogram': [[18.0, 9.0, 1.0, 2.0, 2.0, 2.0, 0.0, 0.0, 1.0, 1.0], [0.03709242852969095, 3.9960975537788497, 7.955102679028009, 11.914107804277167, 15.873112929526327, 19.832118054775485, 23.79112318002464, 27.7501283052738, 31.70913343052296, 35.66813855577212, 39.62714368102128]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.03709242852969095, 'percentile_98': 39.62714368102128}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.03709242852969095, 'max': 39.62714368102128, 'mean': 7.220002358949011, 'count': 36.0, 'sum': 259.9200849221644, 'std': 9.561869909840457, 'median': 2.9255846046002905, 'majority': 0.03709242852969095, 'minority': 0.03709242852969095, 'unique': 36.0, 'histogram': [[18.0, 9.0, 1.0, 2.0, 2.0, 2.0, 0.0, 0.0, 1.0, 1.0], [0.03709242852969095, 3.9960975537788497, 7.955102679028009, 11.914107804277167, 15.873112929526327, 19.832118054775485, 23.79112318002464, 27.7501283052738, 31.70913343052296, 35.66813855577212, 39.62714368102128]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.03709242852969095, 'percentile_98': 39.62714368102128}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.049828655966481096, 'max': 53.233702609559955, 'mean': 9.69909568830946, 'count': 36.0, 'sum': 349.16744477914057, 'std': 12.845077688895602, 'median': 3.9301268356363437, 'majority': 0.049828655966481096, 'minority': 0.049828655966481096, 'unique': 36.0, 'histogram': [[18.0, 9.0, 1.0, 2.0, 2.0, 2.0, 0.0, 0.0, 1.0, 1.0], [0.049828655966481096, 5.368216051325828, 10.686603446685176, 16.004990842044524, 21.323378237403873, 26.64176563276322, 31.960153028122566, 37.278540423481914, 42.59692781884126, 47.915315214200604, 53.233702609559955]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.049828655966481096, 'percentile_98': 53.233702609559955}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.049828655966481096, 'max': 53.233702609559955, 'mean': 9.69909568830946, 'count': 36.0, 'sum': 349.16744477914057, 'std': 12.845077688895602, 'median': 3.930126835636344, 'majority': 0.049828655966481096, 'minority': 0.049828655966481096, 'unique': 36.0, 'histogram': [[18.0, 9.0, 1.0, 2.0, 2.0, 2.0, 0.0, 0.0, 1.0, 1.0], [0.049828655966481096, 5.368216051325828, 10.686603446685176, 16.004990842044524, 21.323378237403873, 26.64176563276322, 31.960153028122566, 37.278540423481914, 42.59692781884126, 47.915315214200604, 53.233702609559955]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.049828655966481096, 'percentile_98': 53.233702609559955}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.049828655966481096, 'max': 53.233702609559955, 'mean': 9.69909568830946, 'count': 36.0, 'sum': 349.16744477914057, 'std': 12.845077688895602, 'median': 3.9301268356363437, 'majority': 0.049828655966481096, 'minority': 0.049828655966481096, 'unique': 36.0, 'histogram': [[18.0, 9.0, 1.0, 2.0, 2.0, 2.0, 0.0, 0.0, 1.0, 1.0], [0.049828655966481096, 5.368216051325828, 10.686603446685176, 16.004990842044524, 21.323378237403873, 26.64176563276322, 31.960153028122566, 37.278540423481914, 42.59692781884126, 47.915315214200604, 53.233702609559955]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.049828655966481096, 'percentile_98': 53.233702609559955}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.049828655966481096, 'max': 53.233702609559955, 'mean': 9.69909568830946, 'count': 36.0, 'sum': 349.16744477914057, 'std': 12.845077688895602, 'median': 3.930126835636344, 'majority': 0.049828655966481096, 'minority': 0.049828655966481096, 'unique': 36.0, 'histogram': [[18.0, 9.0, 1.0, 2.0, 2.0, 2.0, 0.0, 0.0, 1.0, 1.0], [0.049828655966481096, 5.368216051325828, 10.686603446685176, 16.004990842044524, 21.323378237403873, 26.64176563276322, 31.960153028122566, 37.278540423481914, 42.59692781884126, 47.915315214200604, 53.233702609559955]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.049828655966481096, 'percentile_98': 53.233702609559955}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.049828655966481096, 'max': 53.233702609559955, 'mean': 9.69909568830946, 'count': 36.0, 'sum': 349.16744477914057, 'std': 12.845077688895602, 'median': 3.9301268356363437, 'majority': 0.049828655966481096, 'minority': 0.049828655966481096, 'unique': 36.0, 'histogram': [[18.0, 9.0, 1.0, 2.0, 2.0, 2.0, 0.0, 0.0, 1.0, 1.0], [0.049828655966481096, 5.368216051325828, 10.686603446685176, 16.004990842044524, 21.323378237403873, 26.64176563276322, 31.960153028122566, 37.278540423481914, 42.59692781884126, 47.915315214200604, 53.233702609559955]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.049828655966481096, 'percentile_98': 53.233702609559955}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.049828655966481096, 'max': 53.233702609559955, 'mean': 9.69909568830946, 'count': 36.0, 'sum': 349.16744477914057, 'std': 12.845077688895602, 'median': 3.9301268356363437, 'majority': 0.049828655966481096, 'minority': 0.049828655966481096, 'unique': 36.0, 'histogram': [[18.0, 9.0, 1.0, 2.0, 2.0, 2.0, 0.0, 0.0, 1.0, 1.0], [0.049828655966481096, 5.368216051325828, 10.686603446685176, 16.004990842044524, 21.323378237403873, 26.64176563276322, 31.960153028122566, 37.278540423481914, 42.59692781884126, 47.915315214200604, 53.233702609559955]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.049828655966481096, 'percentile_98': 53.233702609559955}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.049828655966481096, 'max': 53.233702609559955, 'mean': 9.69909568830946, 'count': 36.0, 'sum': 349.16744477914057, 'std': 12.845077688895602, 'median': 3.930126835636344, 'majority': 0.049828655966481096, 'minority': 0.049828655966481096, 'unique': 36.0, 'histogram': [[18.0, 9.0, 1.0, 2.0, 2.0, 2.0, 0.0, 0.0, 1.0, 1.0], [0.049828655966481096, 5.368216051325828, 10.686603446685176, 16.004990842044524, 21.323378237403873, 26.64176563276322, 31.960153028122566, 37.278540423481914, 42.59692781884126, 47.915315214200604, 53.233702609559955]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.049828655966481096, 'percentile_98': 53.233702609559955}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.049828655966481096, 'max': 53.233702609559955, 'mean': 9.69909568830946, 'count': 36.0, 'sum': 349.16744477914057, 'std': 12.845077688895602, 'median': 3.9301268356363437, 'majority': 0.049828655966481096, 'minority': 0.049828655966481096, 'unique': 36.0, 'histogram': [[18.0, 9.0, 1.0, 2.0, 2.0, 2.0, 0.0, 0.0, 1.0, 1.0], [0.049828655966481096, 5.368216051325828, 10.686603446685176, 16.004990842044524, 21.323378237403873, 26.64176563276322, 31.960153028122566, 37.278540423481914, 42.59692781884126, 47.915315214200604, 53.233702609559955]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.049828655966481096, 'percentile_98': 53.233702609559955}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.049828655966481096, 'max': 53.233702609559955, 'mean': 9.69909568830946, 'count': 36.0, 'sum': 349.16744477914057, 'std': 12.845077688895602, 'median': 3.930126835636344, 'majority': 0.049828655966481096, 'minority': 0.049828655966481096, 'unique': 36.0, 'histogram': [[18.0, 9.0, 1.0, 2.0, 2.0, 2.0, 0.0, 0.0, 1.0, 1.0], [0.049828655966481096, 5.368216051325828, 10.686603446685176, 16.004990842044524, 21.323378237403873, 26.64176563276322, 31.960153028122566, 37.278540423481914, 42.59692781884126, 47.915315214200604, 53.233702609559955]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.049828655966481096, 'percentile_98': 53.233702609559955}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.049828655966481096, 'max': 53.233702609559955, 'mean': 9.69909568830946, 'count': 36.0, 'sum': 349.16744477914057, 'std': 12.845077688895602, 'median': 3.9301268356363437, 'majority': 0.049828655966481096, 'minority': 0.049828655966481096, 'unique': 36.0, 'histogram': [[18.0, 9.0, 1.0, 2.0, 2.0, 2.0, 0.0, 0.0, 1.0, 1.0], [0.049828655966481096, 5.368216051325828, 10.686603446685176, 16.004990842044524, 21.323378237403873, 26.64176563276322, 31.960153028122566, 37.278540423481914, 42.59692781884126, 47.915315214200604, 53.233702609559955]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.049828655966481096, 'percentile_98': 53.233702609559955}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.0498286559664811, 'max': 53.233702609559955, 'mean': 9.69909568830946, 'count': 36.0, 'sum': 349.16744477914057, 'std': 12.845077688895602, 'median': 3.930126835636344, 'majority': 0.0498286559664811, 'minority': 0.0498286559664811, 'unique': 36.0, 'histogram': [[18.0, 9.0, 1.0, 2.0, 2.0, 2.0, 0.0, 0.0, 1.0, 1.0], [0.0498286559664811, 5.368216051325828, 10.686603446685176, 16.004990842044524, 21.323378237403873, 26.64176563276322, 31.960153028122566, 37.278540423481914, 42.59692781884126, 47.915315214200604, 53.233702609559955]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.0498286559664811, 'percentile_98': 53.233702609559955}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.049828655966481096, 'max': 53.233702609559955, 'mean': 9.69909568830946, 'count': 36.0, 'sum': 349.16744477914057, 'std': 12.845077688895602, 'median': 3.9301268356363437, 'majority': 0.049828655966481096, 'minority': 0.049828655966481096, 'unique': 36.0, 'histogram': [[18.0, 9.0, 1.0, 2.0, 2.0, 2.0, 0.0, 0.0, 1.0, 1.0], [0.049828655966481096, 5.368216051325828, 10.686603446685176, 16.004990842044524, 21.323378237403873, 26.64176563276322, 31.960153028122566, 37.278540423481914, 42.59692781884126, 47.915315214200604, 53.233702609559955]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.049828655966481096, 'percentile_98': 53.233702609559955}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.04844368240797245, 'max': 51.754086731793784, 'mean': 9.429512035906917, 'count': 36.0, 'sum': 339.462433292649, 'std': 12.488052346528812, 'median': 3.820890059260054, 'majority': 0.04844368240797245, 'minority': 0.04844368240797245, 'unique': 36.0, 'histogram': [[18.0, 9.0, 1.0, 2.0, 2.0, 2.0, 0.0, 0.0, 1.0, 1.0], [0.04844368240797245, 5.219007987346554, 10.389572292285136, 15.560136597223718, 20.730700902162297, 25.901265207100877, 31.07182951203946, 36.242393816978044, 41.412958121916624, 46.583522426855204, 51.754086731793784]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.04844368240797245, 'percentile_98': 51.754086731793784}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.04844368240797245, 'max': 51.754086731793784, 'mean': 9.429512035906917, 'count': 36.0, 'sum': 339.462433292649, 'std': 12.488052346528812, 'median': 3.820890059260054, 'majority': 0.04844368240797245, 'minority': 0.04844368240797245, 'unique': 36.0, 'histogram': [[18.0, 9.0, 1.0, 2.0, 2.0, 2.0, 0.0, 0.0, 1.0, 1.0], [0.04844368240797245, 5.219007987346554, 10.389572292285136, 15.560136597223718, 20.730700902162297, 25.901265207100877, 31.07182951203946, 36.242393816978044, 41.412958121916624, 46.583522426855204, 51.754086731793784]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.04844368240797245, 'percentile_98': 51.754086731793784}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.04844368240797245, 'max': 51.754086731793784, 'mean': 9.429512035906917, 'count': 36.0, 'sum': 339.462433292649, 'std': 12.488052346528812, 'median': 3.820890059260054, 'majority': 0.04844368240797245, 'minority': 0.04844368240797245, 'unique': 36.0, 'histogram': [[18.0, 9.0, 1.0, 2.0, 2.0, 2.0, 0.0, 0.0, 1.0, 1.0], [0.04844368240797245, 5.219007987346554, 10.389572292285136, 15.560136597223718, 20.730700902162297, 25.901265207100877, 31.07182951203946, 36.242393816978044, 41.412958121916624, 46.583522426855204, 51.754086731793784]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.04844368240797245, 'percentile_98': 51.754086731793784}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.04844368240797245, 'max': 51.754086731793784, 'mean': 9.429512035906917, 'count': 36.0, 'sum': 339.462433292649, 'std': 12.488052346528812, 'median': 3.820890059260054, 'majority': 0.04844368240797245, 'minority': 0.04844368240797245, 'unique': 36.0, 'histogram': [[18.0, 9.0, 1.0, 2.0, 2.0, 2.0, 0.0, 0.0, 1.0, 1.0], [0.04844368240797245, 5.219007987346554, 10.389572292285136, 15.560136597223718, 20.730700902162297, 25.901265207100877, 31.07182951203946, 36.242393816978044, 41.412958121916624, 46.583522426855204, 51.754086731793784]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.04844368240797245, 'percentile_98': 51.754086731793784}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.04844368240797245, 'max': 51.754086731793784, 'mean': 9.429512035906917, 'count': 36.0, 'sum': 339.462433292649, 'std': 12.488052346528812, 'median': 3.820890059260054, 'majority': 0.04844368240797245, 'minority': 0.04844368240797245, 'unique': 36.0, 'histogram': [[18.0, 9.0, 1.0, 2.0, 2.0, 2.0, 0.0, 0.0, 1.0, 1.0], [0.04844368240797245, 5.219007987346554, 10.389572292285136, 15.560136597223718, 20.730700902162297, 25.901265207100877, 31.07182951203946, 36.242393816978044, 41.412958121916624, 46.583522426855204, 51.754086731793784]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.04844368240797245, 'percentile_98': 51.754086731793784}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.04844368240797245, 'max': 51.754086731793784, 'mean': 9.429512035906917, 'count': 36.0, 'sum': 339.462433292649, 'std': 12.488052346528812, 'median': 3.820890059260054, 'majority': 0.04844368240797245, 'minority': 0.04844368240797245, 'unique': 36.0, 'histogram': [[18.0, 9.0, 1.0, 2.0, 2.0, 2.0, 0.0, 0.0, 1.0, 1.0], [0.04844368240797245, 5.219007987346554, 10.389572292285136, 15.560136597223718, 20.730700902162297, 25.901265207100877, 31.07182951203946, 36.242393816978044, 41.412958121916624, 46.583522426855204, 51.754086731793784]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.04844368240797245, 'percentile_98': 51.754086731793784}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.04844368240797245, 'max': 51.754086731793784, 'mean': 9.429512035906917, 'count': 36.0, 'sum': 339.462433292649, 'std': 12.488052346528812, 'median': 3.820890059260054, 'majority': 0.04844368240797245, 'minority': 0.04844368240797245, 'unique': 36.0, 'histogram': [[18.0, 9.0, 1.0, 2.0, 2.0, 2.0, 0.0, 0.0, 1.0, 1.0], [0.04844368240797245, 5.219007987346554, 10.389572292285136, 15.560136597223718, 20.730700902162297, 25.901265207100877, 31.07182951203946, 36.242393816978044, 41.412958121916624, 46.583522426855204, 51.754086731793784]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.04844368240797245, 'percentile_98': 51.754086731793784}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.04844368240797245, 'max': 51.754086731793784, 'mean': 9.429512035906917, 'count': 36.0, 'sum': 339.462433292649, 'std': 12.488052346528812, 'median': 3.820890059260054, 'majority': 0.04844368240797245, 'minority': 0.04844368240797245, 'unique': 36.0, 'histogram': [[18.0, 9.0, 1.0, 2.0, 2.0, 2.0, 0.0, 0.0, 1.0, 1.0], [0.04844368240797245, 5.219007987346554, 10.389572292285136, 15.560136597223718, 20.730700902162297, 25.901265207100877, 31.07182951203946, 36.242393816978044, 41.412958121916624, 46.583522426855204, 51.754086731793784]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.04844368240797245, 'percentile_98': 51.754086731793784}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.04844368240797245, 'max': 51.754086731793784, 'mean': 9.429512035906917, 'count': 36.0, 'sum': 339.462433292649, 'std': 12.488052346528812, 'median': 3.820890059260054, 'majority': 0.04844368240797245, 'minority': 0.04844368240797245, 'unique': 36.0, 'histogram': [[18.0, 9.0, 1.0, 2.0, 2.0, 2.0, 0.0, 0.0, 1.0, 1.0], [0.04844368240797245, 5.219007987346554, 10.389572292285136, 15.560136597223718, 20.730700902162297, 25.901265207100877, 31.07182951203946, 36.242393816978044, 41.412958121916624, 46.583522426855204, 51.754086731793784]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.04844368240797245, 'percentile_98': 51.754086731793784}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.04844368240797245, 'max': 51.754086731793784, 'mean': 9.429512035906917, 'count': 36.0, 'sum': 339.462433292649, 'std': 12.488052346528812, 'median': 3.820890059260054, 'majority': 0.04844368240797245, 'minority': 0.04844368240797245, 'unique': 36.0, 'histogram': [[18.0, 9.0, 1.0, 2.0, 2.0, 2.0, 0.0, 0.0, 1.0, 1.0], [0.04844368240797245, 5.219007987346554, 10.389572292285136, 15.560136597223718, 20.730700902162297, 25.901265207100877, 31.07182951203946, 36.242393816978044, 41.412958121916624, 46.583522426855204, 51.754086731793784]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.04844368240797245, 'percentile_98': 51.754086731793784}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.04844368240797246, 'max': 51.754086731793784, 'mean': 9.429512035906917, 'count': 36.0, 'sum': 339.462433292649, 'std': 12.488052346528812, 'median': 3.820890059260054, 'majority': 0.04844368240797246, 'minority': 0.04844368240797246, 'unique': 36.0, 'histogram': [[18.0, 9.0, 1.0, 2.0, 2.0, 2.0, 0.0, 0.0, 1.0, 1.0], [0.04844368240797246, 5.219007987346554, 10.389572292285136, 15.560136597223718, 20.730700902162297, 25.901265207100877, 31.07182951203946, 36.242393816978044, 41.412958121916624, 46.583522426855204, 51.754086731793784]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.04844368240797246, 'percentile_98': 51.754086731793784}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.04844368240797245, 'max': 51.754086731793784, 'mean': 9.429512035906917, 'count': 36.0, 'sum': 339.462433292649, 'std': 12.488052346528812, 'median': 3.820890059260054, 'majority': 0.04844368240797245, 'minority': 0.04844368240797245, 'unique': 36.0, 'histogram': [[18.0, 9.0, 1.0, 2.0, 2.0, 2.0, 0.0, 0.0, 1.0, 1.0], [0.04844368240797245, 5.219007987346554, 10.389572292285136, 15.560136597223718, 20.730700902162297, 25.901265207100877, 31.07182951203946, 36.242393816978044, 41.412958121916624, 46.583522426855204, 51.754086731793784]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.04844368240797245, 'percentile_98': 51.754086731793784}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.041069475890559086, 'max': 43.875963007294224, 'mean': 7.994130461780975, 'count': 36.0, 'sum': 287.7886966241151, 'std': 10.587092873051281, 'median': 3.239265563004202, 'majority': 0.041069475890559086, 'minority': 0.041069475890559086, 'unique': 36.0, 'histogram': [[18.0, 9.0, 1.0, 2.0, 2.0, 2.0, 0.0, 0.0, 1.0, 1.0], [0.041069475890559086, 4.424558829030926, 8.808048182171293, 13.19153753531166, 17.575026888452026, 21.958516241592392, 26.34200559473276, 30.725494947873127, 35.10898430101349, 39.49247365415386, 43.875963007294224]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.041069475890559086, 'percentile_98': 43.875963007294224}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.041069475890559086, 'max': 43.875963007294224, 'mean': 7.994130461780975, 'count': 36.0, 'sum': 287.7886966241151, 'std': 10.587092873051281, 'median': 3.239265563004203, 'majority': 0.041069475890559086, 'minority': 0.041069475890559086, 'unique': 36.0, 'histogram': [[18.0, 9.0, 1.0, 2.0, 2.0, 2.0, 0.0, 0.0, 1.0, 1.0], [0.041069475890559086, 4.424558829030926, 8.808048182171293, 13.19153753531166, 17.575026888452026, 21.958516241592392, 26.34200559473276, 30.725494947873127, 35.10898430101349, 39.49247365415386, 43.875963007294224]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.041069475890559086, 'percentile_98': 43.875963007294224}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.041069475890559086, 'max': 43.875963007294224, 'mean': 7.994130461780975, 'count': 36.0, 'sum': 287.7886966241151, 'std': 10.587092873051281, 'median': 3.239265563004202, 'majority': 0.041069475890559086, 'minority': 0.041069475890559086, 'unique': 36.0, 'histogram': [[18.0, 9.0, 1.0, 2.0, 2.0, 2.0, 0.0, 0.0, 1.0, 1.0], [0.041069475890559086, 4.424558829030926, 8.808048182171293, 13.19153753531166, 17.575026888452026, 21.958516241592392, 26.34200559473276, 30.725494947873127, 35.10898430101349, 39.49247365415386, 43.875963007294224]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.041069475890559086, 'percentile_98': 43.875963007294224}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.041069475890559086, 'max': 43.875963007294224, 'mean': 7.994130461780975, 'count': 36.0, 'sum': 287.7886966241151, 'std': 10.587092873051281, 'median': 3.239265563004203, 'majority': 0.041069475890559086, 'minority': 0.041069475890559086, 'unique': 36.0, 'histogram': [[18.0, 9.0, 1.0, 2.0, 2.0, 2.0, 0.0, 0.0, 1.0, 1.0], [0.041069475890559086, 4.424558829030926, 8.808048182171293, 13.19153753531166, 17.575026888452026, 21.958516241592392, 26.34200559473276, 30.725494947873127, 35.10898430101349, 39.49247365415386, 43.875963007294224]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.041069475890559086, 'percentile_98': 43.875963007294224}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.041069475890559086, 'max': 43.875963007294224, 'mean': 7.994130461780975, 'count': 36.0, 'sum': 287.7886966241151, 'std': 10.587092873051281, 'median': 3.239265563004202, 'majority': 0.041069475890559086, 'minority': 0.041069475890559086, 'unique': 36.0, 'histogram': [[18.0, 9.0, 1.0, 2.0, 2.0, 2.0, 0.0, 0.0, 1.0, 1.0], [0.041069475890559086, 4.424558829030926, 8.808048182171293, 13.19153753531166, 17.575026888452026, 21.958516241592392, 26.34200559473276, 30.725494947873127, 35.10898430101349, 39.49247365415386, 43.875963007294224]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.041069475890559086, 'percentile_98': 43.875963007294224}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.041069475890559086, 'max': 43.875963007294224, 'mean': 7.994130461780975, 'count': 36.0, 'sum': 287.7886966241151, 'std': 10.587092873051281, 'median': 3.239265563004202, 'majority': 0.041069475890559086, 'minority': 0.041069475890559086, 'unique': 36.0, 'histogram': [[18.0, 9.0, 1.0, 2.0, 2.0, 2.0, 0.0, 0.0, 1.0, 1.0], [0.041069475890559086, 4.424558829030926, 8.808048182171293, 13.19153753531166, 17.575026888452026, 21.958516241592392, 26.34200559473276, 30.725494947873127, 35.10898430101349, 39.49247365415386, 43.875963007294224]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.041069475890559086, 'percentile_98': 43.875963007294224}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.041069475890559086, 'max': 43.875963007294224, 'mean': 7.994130461780975, 'count': 36.0, 'sum': 287.7886966241151, 'std': 10.587092873051281, 'median': 3.239265563004203, 'majority': 0.041069475890559086, 'minority': 0.041069475890559086, 'unique': 36.0, 'histogram': [[18.0, 9.0, 1.0, 2.0, 2.0, 2.0, 0.0, 0.0, 1.0, 1.0], [0.041069475890559086, 4.424558829030926, 8.808048182171293, 13.19153753531166, 17.575026888452026, 21.958516241592392, 26.34200559473276, 30.725494947873127, 35.10898430101349, 39.49247365415386, 43.875963007294224]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.041069475890559086, 'percentile_98': 43.875963007294224}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.041069475890559086, 'max': 43.875963007294224, 'mean': 7.994130461780975, 'count': 36.0, 'sum': 287.7886966241151, 'std': 10.587092873051281, 'median': 3.239265563004202, 'majority': 0.041069475890559086, 'minority': 0.041069475890559086, 'unique': 36.0, 'histogram': [[18.0, 9.0, 1.0, 2.0, 2.0, 2.0, 0.0, 0.0, 1.0, 1.0], [0.041069475890559086, 4.424558829030926, 8.808048182171293, 13.19153753531166, 17.575026888452026, 21.958516241592392, 26.34200559473276, 30.725494947873127, 35.10898430101349, 39.49247365415386, 43.875963007294224]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.041069475890559086, 'percentile_98': 43.875963007294224}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.041069475890559086, 'max': 43.875963007294224, 'mean': 7.994130461780975, 'count': 36.0, 'sum': 287.7886966241151, 'std': 10.587092873051281, 'median': 3.239265563004203, 'majority': 0.041069475890559086, 'minority': 0.041069475890559086, 'unique': 36.0, 'histogram': [[18.0, 9.0, 1.0, 2.0, 2.0, 2.0, 0.0, 0.0, 1.0, 1.0], [0.041069475890559086, 4.424558829030926, 8.808048182171293, 13.19153753531166, 17.575026888452026, 21.958516241592392, 26.34200559473276, 30.725494947873127, 35.10898430101349, 39.49247365415386, 43.875963007294224]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.041069475890559086, 'percentile_98': 43.875963007294224}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.041069475890559086, 'max': 43.875963007294224, 'mean': 7.994130461780975, 'count': 36.0, 'sum': 287.7886966241151, 'std': 10.587092873051281, 'median': 3.239265563004202, 'majority': 0.041069475890559086, 'minority': 0.041069475890559086, 'unique': 36.0, 'histogram': [[18.0, 9.0, 1.0, 2.0, 2.0, 2.0, 0.0, 0.0, 1.0, 1.0], [0.041069475890559086, 4.424558829030926, 8.808048182171293, 13.19153753531166, 17.575026888452026, 21.958516241592392, 26.34200559473276, 30.725494947873127, 35.10898430101349, 39.49247365415386, 43.875963007294224]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.041069475890559086, 'percentile_98': 43.875963007294224}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.0410694758905591, 'max': 43.875963007294224, 'mean': 7.994130461780975, 'count': 36.0, 'sum': 287.7886966241151, 'std': 10.587092873051281, 'median': 3.239265563004203, 'majority': 0.0410694758905591, 'minority': 0.0410694758905591, 'unique': 36.0, 'histogram': [[18.0, 9.0, 1.0, 2.0, 2.0, 2.0, 0.0, 0.0, 1.0, 1.0], [0.0410694758905591, 4.424558829030926, 8.808048182171293, 13.19153753531166, 17.575026888452026, 21.958516241592392, 26.34200559473276, 30.725494947873127, 35.10898430101349, 39.49247365415386, 43.875963007294224]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.0410694758905591, 'percentile_98': 43.875963007294224}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.041069475890559086, 'max': 43.875963007294224, 'mean': 7.994130461780975, 'count': 36.0, 'sum': 287.7886966241151, 'std': 10.587092873051281, 'median': 3.239265563004202, 'majority': 0.041069475890559086, 'minority': 0.041069475890559086, 'unique': 36.0, 'histogram': [[18.0, 9.0, 1.0, 2.0, 2.0, 2.0, 0.0, 0.0, 1.0, 1.0], [0.041069475890559086, 4.424558829030926, 8.808048182171293, 13.19153753531166, 17.575026888452026, 21.958516241592392, 26.34200559473276, 30.725494947873127, 35.10898430101349, 39.49247365415386, 43.875963007294224]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.041069475890559086, 'percentile_98': 43.875963007294224}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.04525232158395881, 'max': 43.218752482629654, 'mean': 8.01499072869041, 'count': 36.0, 'sum': 288.53966623285476, 'std': 10.403540190053944, 'median': 3.4394321723687717, 'majority': 0.04525232158395881, 'minority': 0.04525232158395881, 'unique': 36.0, 'histogram': [[18.0, 9.0, 1.0, 2.0, 2.0, 2.0, 0.0, 0.0, 1.0, 1.0], [0.04525232158395881, 4.362602337688529, 8.679952353793098, 12.997302369897668, 17.314652386002237, 21.632002402106806, 25.949352418211376, 30.266702434315945, 34.584052450420515, 38.901402466525084, 43.218752482629654]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.04525232158395881, 'percentile_98': 43.218752482629654}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.04525232158395881, 'max': 43.218752482629654, 'mean': 8.01499072869041, 'count': 36.0, 'sum': 288.53966623285476, 'std': 10.403540190053944, 'median': 3.4394321723687717, 'majority': 0.04525232158395881, 'minority': 0.04525232158395881, 'unique': 36.0, 'histogram': [[18.0, 9.0, 1.0, 2.0, 2.0, 2.0, 0.0, 0.0, 1.0, 1.0], [0.04525232158395881, 4.362602337688529, 8.679952353793098, 12.997302369897668, 17.314652386002237, 21.632002402106806, 25.949352418211376, 30.266702434315945, 34.584052450420515, 38.901402466525084, 43.218752482629654]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.04525232158395881, 'percentile_98': 43.218752482629654}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.04525232158395881, 'max': 43.218752482629654, 'mean': 8.01499072869041, 'count': 36.0, 'sum': 288.53966623285476, 'std': 10.403540190053944, 'median': 3.4394321723687717, 'majority': 0.04525232158395881, 'minority': 0.04525232158395881, 'unique': 36.0, 'histogram': [[18.0, 9.0, 1.0, 2.0, 2.0, 2.0, 0.0, 0.0, 1.0, 1.0], [0.04525232158395881, 4.362602337688529, 8.679952353793098, 12.997302369897668, 17.314652386002237, 21.632002402106806, 25.949352418211376, 30.266702434315945, 34.584052450420515, 38.901402466525084, 43.218752482629654]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.04525232158395881, 'percentile_98': 43.218752482629654}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.04525232158395881, 'max': 43.218752482629654, 'mean': 8.01499072869041, 'count': 36.0, 'sum': 288.53966623285476, 'std': 10.403540190053944, 'median': 3.4394321723687717, 'majority': 0.04525232158395881, 'minority': 0.04525232158395881, 'unique': 36.0, 'histogram': [[18.0, 9.0, 1.0, 2.0, 2.0, 2.0, 0.0, 0.0, 1.0, 1.0], [0.04525232158395881, 4.362602337688529, 8.679952353793098, 12.997302369897668, 17.314652386002237, 21.632002402106806, 25.949352418211376, 30.266702434315945, 34.584052450420515, 38.901402466525084, 43.218752482629654]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.04525232158395881, 'percentile_98': 43.218752482629654}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.04525232158395881, 'max': 43.218752482629654, 'mean': 8.01499072869041, 'count': 36.0, 'sum': 288.53966623285476, 'std': 10.403540190053944, 'median': 3.4394321723687717, 'majority': 0.04525232158395881, 'minority': 0.04525232158395881, 'unique': 36.0, 'histogram': [[18.0, 9.0, 1.0, 2.0, 2.0, 2.0, 0.0, 0.0, 1.0, 1.0], [0.04525232158395881, 4.362602337688529, 8.679952353793098, 12.997302369897668, 17.314652386002237, 21.632002402106806, 25.949352418211376, 30.266702434315945, 34.584052450420515, 38.901402466525084, 43.218752482629654]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.04525232158395881, 'percentile_98': 43.218752482629654}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.04525232158395881, 'max': 43.218752482629654, 'mean': 8.01499072869041, 'count': 36.0, 'sum': 288.53966623285476, 'std': 10.403540190053944, 'median': 3.4394321723687717, 'majority': 0.04525232158395881, 'minority': 0.04525232158395881, 'unique': 36.0, 'histogram': [[18.0, 9.0, 1.0, 2.0, 2.0, 2.0, 0.0, 0.0, 1.0, 1.0], [0.04525232158395881, 4.362602337688529, 8.679952353793098, 12.997302369897668, 17.314652386002237, 21.632002402106806, 25.949352418211376, 30.266702434315945, 34.584052450420515, 38.901402466525084, 43.218752482629654]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.04525232158395881, 'percentile_98': 43.218752482629654}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.04525232158395881, 'max': 43.218752482629654, 'mean': 8.01499072869041, 'count': 36.0, 'sum': 288.53966623285476, 'std': 10.403540190053944, 'median': 3.4394321723687717, 'majority': 0.04525232158395881, 'minority': 0.04525232158395881, 'unique': 36.0, 'histogram': [[18.0, 9.0, 1.0, 2.0, 2.0, 2.0, 0.0, 0.0, 1.0, 1.0], [0.04525232158395881, 4.362602337688529, 8.679952353793098, 12.997302369897668, 17.314652386002237, 21.632002402106806, 25.949352418211376, 30.266702434315945, 34.584052450420515, 38.901402466525084, 43.218752482629654]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.04525232158395881, 'percentile_98': 43.218752482629654}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.04525232158395881, 'max': 43.218752482629654, 'mean': 8.01499072869041, 'count': 36.0, 'sum': 288.53966623285476, 'std': 10.403540190053944, 'median': 3.4394321723687717, 'majority': 0.04525232158395881, 'minority': 0.04525232158395881, 'unique': 36.0, 'histogram': [[18.0, 9.0, 1.0, 2.0, 2.0, 2.0, 0.0, 0.0, 1.0, 1.0], [0.04525232158395881, 4.362602337688529, 8.679952353793098, 12.997302369897668, 17.314652386002237, 21.632002402106806, 25.949352418211376, 30.266702434315945, 34.584052450420515, 38.901402466525084, 43.218752482629654]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.04525232158395881, 'percentile_98': 43.218752482629654}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.04525232158395881, 'max': 43.218752482629654, 'mean': 8.01499072869041, 'count': 36.0, 'sum': 288.53966623285476, 'std': 10.403540190053944, 'median': 3.4394321723687717, 'majority': 0.04525232158395881, 'minority': 0.04525232158395881, 'unique': 36.0, 'histogram': [[18.0, 9.0, 1.0, 2.0, 2.0, 2.0, 0.0, 0.0, 1.0, 1.0], [0.04525232158395881, 4.362602337688529, 8.679952353793098, 12.997302369897668, 17.314652386002237, 21.632002402106806, 25.949352418211376, 30.266702434315945, 34.584052450420515, 38.901402466525084, 43.218752482629654]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.04525232158395881, 'percentile_98': 43.218752482629654}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.04525232158395881, 'max': 43.218752482629654, 'mean': 8.01499072869041, 'count': 36.0, 'sum': 288.53966623285476, 'std': 10.403540190053944, 'median': 3.4394321723687717, 'majority': 0.04525232158395881, 'minority': 0.04525232158395881, 'unique': 36.0, 'histogram': [[18.0, 9.0, 1.0, 2.0, 2.0, 2.0, 0.0, 0.0, 1.0, 1.0], [0.04525232158395881, 4.362602337688529, 8.679952353793098, 12.997302369897668, 17.314652386002237, 21.632002402106806, 25.949352418211376, 30.266702434315945, 34.584052450420515, 38.901402466525084, 43.218752482629654]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.04525232158395881, 'percentile_98': 43.218752482629654}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.04525232158395881, 'max': 43.218752482629654, 'mean': 8.014990728690412, 'count': 36.0, 'sum': 288.5396662328548, 'std': 10.403540190053944, 'median': 3.4394321723687717, 'majority': 0.04525232158395881, 'minority': 0.04525232158395881, 'unique': 36.0, 'histogram': [[18.0, 9.0, 1.0, 2.0, 2.0, 2.0, 0.0, 0.0, 1.0, 1.0], [0.04525232158395881, 4.362602337688529, 8.679952353793098, 12.997302369897668, 17.314652386002237, 21.632002402106806, 25.949352418211376, 30.266702434315945, 34.584052450420515, 38.901402466525084, 43.218752482629654]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.04525232158395881, 'percentile_98': 43.218752482629654}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.04525232158395881, 'max': 43.218752482629654, 'mean': 8.01499072869041, 'count': 36.0, 'sum': 288.53966623285476, 'std': 10.403540190053944, 'median': 3.4394321723687717, 'majority': 0.04525232158395881, 'minority': 0.04525232158395881, 'unique': 36.0, 'histogram': [[18.0, 9.0, 1.0, 2.0, 2.0, 2.0, 0.0, 0.0, 1.0, 1.0], [0.04525232158395881, 4.362602337688529, 8.679952353793098, 12.997302369897668, 17.314652386002237, 21.632002402106806, 25.949352418211376, 30.266702434315945, 34.584052450420515, 38.901402466525084, 43.218752482629654]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.04525232158395881, 'percentile_98': 43.218752482629654}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.07815699260652442, 'max': 30.207069000964125, 'mean': 4.937147649762869, 'count': 36.0, 'sum': 177.73731539146328, 'std': 5.60027520477858, 'median': 2.6359418625830324, 'majority': 0.07815699260652442, 'minority': 0.07815699260652442, 'unique': 36.0, 'histogram': [[18.0, 8.0, 6.0, 1.0, 1.0, 1.0, 0.0, 0.0, 0.0, 1.0], [0.07815699260652442, 3.0910481934422847, 6.103939394278045, 9.116830595113806, 12.129721795949566, 15.142612996785326, 18.155504197621084, 21.168395398456845, 24.181286599292605, 27.194177800128365, 30.207069000964125]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.07815699260652442, 'percentile_98': 30.207069000964125}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.07815699260652444, 'max': 30.207069000964125, 'mean': 4.937147649762869, 'count': 36.0, 'sum': 177.73731539146328, 'std': 5.600275204778581, 'median': 2.6359418625830324, 'majority': 0.07815699260652444, 'minority': 0.07815699260652444, 'unique': 36.0, 'histogram': [[18.0, 8.0, 6.0, 1.0, 1.0, 1.0, 0.0, 0.0, 0.0, 1.0], [0.07815699260652444, 3.0910481934422847, 6.103939394278045, 9.116830595113806, 12.129721795949566, 15.142612996785326, 18.155504197621084, 21.168395398456845, 24.181286599292605, 27.194177800128365, 30.207069000964125]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.07815699260652444, 'percentile_98': 30.207069000964125}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.07815699260652442, 'max': 30.207069000964125, 'mean': 4.937147649762869, 'count': 36.0, 'sum': 177.73731539146328, 'std': 5.60027520477858, 'median': 2.6359418625830324, 'majority': 0.07815699260652442, 'minority': 0.07815699260652442, 'unique': 36.0, 'histogram': [[18.0, 8.0, 6.0, 1.0, 1.0, 1.0, 0.0, 0.0, 0.0, 1.0], [0.07815699260652442, 3.0910481934422847, 6.103939394278045, 9.116830595113806, 12.129721795949566, 15.142612996785326, 18.155504197621084, 21.168395398456845, 24.181286599292605, 27.194177800128365, 30.207069000964125]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.07815699260652442, 'percentile_98': 30.207069000964125}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.07815699260652444, 'max': 30.207069000964125, 'mean': 4.937147649762869, 'count': 36.0, 'sum': 177.73731539146328, 'std': 5.600275204778581, 'median': 2.6359418625830324, 'majority': 0.07815699260652444, 'minority': 0.07815699260652444, 'unique': 36.0, 'histogram': [[18.0, 8.0, 6.0, 1.0, 1.0, 1.0, 0.0, 0.0, 0.0, 1.0], [0.07815699260652444, 3.0910481934422847, 6.103939394278045, 9.116830595113806, 12.129721795949566, 15.142612996785326, 18.155504197621084, 21.168395398456845, 24.181286599292605, 27.194177800128365, 30.207069000964125]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.07815699260652444, 'percentile_98': 30.207069000964125}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.07815699260652442, 'max': 30.207069000964125, 'mean': 4.937147649762869, 'count': 36.0, 'sum': 177.73731539146328, 'std': 5.60027520477858, 'median': 2.6359418625830324, 'majority': 0.07815699260652442, 'minority': 0.07815699260652442, 'unique': 36.0, 'histogram': [[18.0, 8.0, 6.0, 1.0, 1.0, 1.0, 0.0, 0.0, 0.0, 1.0], [0.07815699260652442, 3.0910481934422847, 6.103939394278045, 9.116830595113806, 12.129721795949566, 15.142612996785326, 18.155504197621084, 21.168395398456845, 24.181286599292605, 27.194177800128365, 30.207069000964125]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.07815699260652442, 'percentile_98': 30.207069000964125}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.07815699260652442, 'max': 30.207069000964125, 'mean': 4.937147649762869, 'count': 36.0, 'sum': 177.73731539146328, 'std': 5.60027520477858, 'median': 2.6359418625830324, 'majority': 0.07815699260652442, 'minority': 0.07815699260652442, 'unique': 36.0, 'histogram': [[18.0, 8.0, 6.0, 1.0, 1.0, 1.0, 0.0, 0.0, 0.0, 1.0], [0.07815699260652442, 3.0910481934422847, 6.103939394278045, 9.116830595113806, 12.129721795949566, 15.142612996785326, 18.155504197621084, 21.168395398456845, 24.181286599292605, 27.194177800128365, 30.207069000964125]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.07815699260652442, 'percentile_98': 30.207069000964125}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.07815699260652444, 'max': 30.207069000964125, 'mean': 4.937147649762869, 'count': 36.0, 'sum': 177.73731539146328, 'std': 5.600275204778581, 'median': 2.6359418625830324, 'majority': 0.07815699260652444, 'minority': 0.07815699260652444, 'unique': 36.0, 'histogram': [[18.0, 8.0, 6.0, 1.0, 1.0, 1.0, 0.0, 0.0, 0.0, 1.0], [0.07815699260652444, 3.0910481934422847, 6.103939394278045, 9.116830595113806, 12.129721795949566, 15.142612996785326, 18.155504197621084, 21.168395398456845, 24.181286599292605, 27.194177800128365, 30.207069000964125]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.07815699260652444, 'percentile_98': 30.207069000964125}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.07815699260652442, 'max': 30.207069000964125, 'mean': 4.937147649762869, 'count': 36.0, 'sum': 177.73731539146328, 'std': 5.60027520477858, 'median': 2.6359418625830324, 'majority': 0.07815699260652442, 'minority': 0.07815699260652442, 'unique': 36.0, 'histogram': [[18.0, 8.0, 6.0, 1.0, 1.0, 1.0, 0.0, 0.0, 0.0, 1.0], [0.07815699260652442, 3.0910481934422847, 6.103939394278045, 9.116830595113806, 12.129721795949566, 15.142612996785326, 18.155504197621084, 21.168395398456845, 24.181286599292605, 27.194177800128365, 30.207069000964125]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.07815699260652442, 'percentile_98': 30.207069000964125}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.07815699260652444, 'max': 30.207069000964125, 'mean': 4.937147649762869, 'count': 36.0, 'sum': 177.73731539146328, 'std': 5.600275204778581, 'median': 2.6359418625830324, 'majority': 0.07815699260652444, 'minority': 0.07815699260652444, 'unique': 36.0, 'histogram': [[18.0, 8.0, 6.0, 1.0, 1.0, 1.0, 0.0, 0.0, 0.0, 1.0], [0.07815699260652444, 3.0910481934422847, 6.103939394278045, 9.116830595113806, 12.129721795949566, 15.142612996785326, 18.155504197621084, 21.168395398456845, 24.181286599292605, 27.194177800128365, 30.207069000964125]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.07815699260652444, 'percentile_98': 30.207069000964125}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.07815699260652442, 'max': 30.207069000964125, 'mean': 4.937147649762869, 'count': 36.0, 'sum': 177.73731539146328, 'std': 5.60027520477858, 'median': 2.6359418625830324, 'majority': 0.07815699260652442, 'minority': 0.07815699260652442, 'unique': 36.0, 'histogram': [[18.0, 8.0, 6.0, 1.0, 1.0, 1.0, 0.0, 0.0, 0.0, 1.0], [0.07815699260652442, 3.0910481934422847, 6.103939394278045, 9.116830595113806, 12.129721795949566, 15.142612996785326, 18.155504197621084, 21.168395398456845, 24.181286599292605, 27.194177800128365, 30.207069000964125]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.07815699260652442, 'percentile_98': 30.207069000964125}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.07815699260652446, 'max': 30.207069000964125, 'mean': 4.93714764976287, 'count': 36.0, 'sum': 177.7373153914633, 'std': 5.600275204778581, 'median': 2.6359418625830333, 'majority': 0.07815699260652446, 'minority': 0.07815699260652446, 'unique': 36.0, 'histogram': [[18.0, 8.0, 6.0, 1.0, 1.0, 1.0, 0.0, 0.0, 0.0, 1.0], [0.07815699260652446, 3.0910481934422847, 6.103939394278045, 9.116830595113806, 12.129721795949566, 15.142612996785326, 18.155504197621084, 21.168395398456845, 24.181286599292605, 27.194177800128365, 30.207069000964125]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.07815699260652446, 'percentile_98': 30.207069000964125}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.07815699260652442, 'max': 30.207069000964125, 'mean': 4.937147649762869, 'count': 36.0, 'sum': 177.73731539146328, 'std': 5.60027520477858, 'median': 2.6359418625830324, 'majority': 0.07815699260652442, 'minority': 0.07815699260652442, 'unique': 36.0, 'histogram': [[18.0, 8.0, 6.0, 1.0, 1.0, 1.0, 0.0, 0.0, 0.0, 1.0], [0.07815699260652442, 3.0910481934422847, 6.103939394278045, 9.116830595113806, 12.129721795949566, 15.142612996785326, 18.155504197621084, 21.168395398456845, 24.181286599292605, 27.194177800128365, 30.207069000964125]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.07815699260652442, 'percentile_98': 30.207069000964125}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.05700037821782864, 'max': 19.012940501765218, 'mean': 3.3591134478629296, 'count': 36.0, 'sum': 120.92808412306547, 'std': 3.6224374421569547, 'median': 1.9034478266961106, 'majority': 0.05700037821782864, 'minority': 0.05700037821782864, 'unique': 36.0, 'histogram': [[18.0, 8.0, 5.0, 2.0, 1.0, 1.0, 0.0, 0.0, 0.0, 1.0], [0.05700037821782864, 1.9525943905725676, 3.8481884029273066, 5.7437824152820465, 7.639376427636785, 9.534970439991524, 11.430564452346264, 13.326158464701003, 15.221752477055741, 17.11734648941048, 19.012940501765218]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.05700037821782864, 'percentile_98': 19.012940501765218}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.05700037821782864, 'max': 19.012940501765218, 'mean': 3.3591134478629296, 'count': 36.0, 'sum': 120.92808412306547, 'std': 3.6224374421569547, 'median': 1.9034478266961106, 'majority': 0.05700037821782864, 'minority': 0.05700037821782864, 'unique': 36.0, 'histogram': [[18.0, 8.0, 5.0, 2.0, 1.0, 1.0, 0.0, 0.0, 0.0, 1.0], [0.05700037821782864, 1.9525943905725676, 3.8481884029273066, 5.7437824152820465, 7.639376427636785, 9.534970439991524, 11.430564452346264, 13.326158464701003, 15.221752477055741, 17.11734648941048, 19.012940501765218]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.05700037821782864, 'percentile_98': 19.012940501765218}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.05700037821782864, 'max': 19.012940501765218, 'mean': 3.3591134478629296, 'count': 36.0, 'sum': 120.92808412306547, 'std': 3.6224374421569547, 'median': 1.9034478266961106, 'majority': 0.05700037821782864, 'minority': 0.05700037821782864, 'unique': 36.0, 'histogram': [[18.0, 8.0, 5.0, 2.0, 1.0, 1.0, 0.0, 0.0, 0.0, 1.0], [0.05700037821782864, 1.9525943905725676, 3.8481884029273066, 5.7437824152820465, 7.639376427636785, 9.534970439991524, 11.430564452346264, 13.326158464701003, 15.221752477055741, 17.11734648941048, 19.012940501765218]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.05700037821782864, 'percentile_98': 19.012940501765218}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.05700037821782864, 'max': 19.012940501765218, 'mean': 3.3591134478629296, 'count': 36.0, 'sum': 120.92808412306547, 'std': 3.6224374421569547, 'median': 1.9034478266961106, 'majority': 0.05700037821782864, 'minority': 0.05700037821782864, 'unique': 36.0, 'histogram': [[18.0, 8.0, 5.0, 2.0, 1.0, 1.0, 0.0, 0.0, 0.0, 1.0], [0.05700037821782864, 1.9525943905725676, 3.8481884029273066, 5.7437824152820465, 7.639376427636785, 9.534970439991524, 11.430564452346264, 13.326158464701003, 15.221752477055741, 17.11734648941048, 19.012940501765218]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.05700037821782864, 'percentile_98': 19.012940501765218}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.05700037821782864, 'max': 19.012940501765218, 'mean': 3.3591134478629296, 'count': 36.0, 'sum': 120.92808412306547, 'std': 3.6224374421569547, 'median': 1.9034478266961106, 'majority': 0.05700037821782864, 'minority': 0.05700037821782864, 'unique': 36.0, 'histogram': [[18.0, 8.0, 5.0, 2.0, 1.0, 1.0, 0.0, 0.0, 0.0, 1.0], [0.05700037821782864, 1.9525943905725676, 3.8481884029273066, 5.7437824152820465, 7.639376427636785, 9.534970439991524, 11.430564452346264, 13.326158464701003, 15.221752477055741, 17.11734648941048, 19.012940501765218]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.05700037821782864, 'percentile_98': 19.012940501765218}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.05700037821782864, 'max': 19.012940501765218, 'mean': 3.3591134478629296, 'count': 36.0, 'sum': 120.92808412306547, 'std': 3.6224374421569547, 'median': 1.9034478266961106, 'majority': 0.05700037821782864, 'minority': 0.05700037821782864, 'unique': 36.0, 'histogram': [[18.0, 8.0, 5.0, 2.0, 1.0, 1.0, 0.0, 0.0, 0.0, 1.0], [0.05700037821782864, 1.9525943905725676, 3.8481884029273066, 5.7437824152820465, 7.639376427636785, 9.534970439991524, 11.430564452346264, 13.326158464701003, 15.221752477055741, 17.11734648941048, 19.012940501765218]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.05700037821782864, 'percentile_98': 19.012940501765218}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.05700037821782864, 'max': 19.012940501765218, 'mean': 3.3591134478629296, 'count': 36.0, 'sum': 120.92808412306547, 'std': 3.6224374421569547, 'median': 1.9034478266961106, 'majority': 0.05700037821782864, 'minority': 0.05700037821782864, 'unique': 36.0, 'histogram': [[18.0, 8.0, 5.0, 2.0, 1.0, 1.0, 0.0, 0.0, 0.0, 1.0], [0.05700037821782864, 1.9525943905725676, 3.8481884029273066, 5.7437824152820465, 7.639376427636785, 9.534970439991524, 11.430564452346264, 13.326158464701003, 15.221752477055741, 17.11734648941048, 19.012940501765218]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.05700037821782864, 'percentile_98': 19.012940501765218}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.05700037821782864, 'max': 19.012940501765218, 'mean': 3.3591134478629296, 'count': 36.0, 'sum': 120.92808412306547, 'std': 3.6224374421569547, 'median': 1.9034478266961106, 'majority': 0.05700037821782864, 'minority': 0.05700037821782864, 'unique': 36.0, 'histogram': [[18.0, 8.0, 5.0, 2.0, 1.0, 1.0, 0.0, 0.0, 0.0, 1.0], [0.05700037821782864, 1.9525943905725676, 3.8481884029273066, 5.7437824152820465, 7.639376427636785, 9.534970439991524, 11.430564452346264, 13.326158464701003, 15.221752477055741, 17.11734648941048, 19.012940501765218]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.05700037821782864, 'percentile_98': 19.012940501765218}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.05700037821782864, 'max': 19.012940501765218, 'mean': 3.3591134478629296, 'count': 36.0, 'sum': 120.92808412306547, 'std': 3.6224374421569547, 'median': 1.9034478266961106, 'majority': 0.05700037821782864, 'minority': 0.05700037821782864, 'unique': 36.0, 'histogram': [[18.0, 8.0, 5.0, 2.0, 1.0, 1.0, 0.0, 0.0, 0.0, 1.0], [0.05700037821782864, 1.9525943905725676, 3.8481884029273066, 5.7437824152820465, 7.639376427636785, 9.534970439991524, 11.430564452346264, 13.326158464701003, 15.221752477055741, 17.11734648941048, 19.012940501765218]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.05700037821782864, 'percentile_98': 19.012940501765218}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.05700037821782864, 'max': 19.012940501765218, 'mean': 3.3591134478629296, 'count': 36.0, 'sum': 120.92808412306547, 'std': 3.6224374421569547, 'median': 1.9034478266961106, 'majority': 0.05700037821782864, 'minority': 0.05700037821782864, 'unique': 36.0, 'histogram': [[18.0, 8.0, 5.0, 2.0, 1.0, 1.0, 0.0, 0.0, 0.0, 1.0], [0.05700037821782864, 1.9525943905725676, 3.8481884029273066, 5.7437824152820465, 7.639376427636785, 9.534970439991524, 11.430564452346264, 13.326158464701003, 15.221752477055741, 17.11734648941048, 19.012940501765218]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.05700037821782864, 'percentile_98': 19.012940501765218}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.057000378217828634, 'max': 19.01294050176522, 'mean': 3.3591134478629296, 'count': 36.0, 'sum': 120.92808412306547, 'std': 3.622437442156955, 'median': 1.9034478266961106, 'majority': 0.057000378217828634, 'minority': 0.057000378217828634, 'unique': 36.0, 'histogram': [[18.0, 8.0, 5.0, 2.0, 1.0, 1.0, 0.0, 0.0, 0.0, 1.0], [0.057000378217828634, 1.9525943905725678, 3.848188402927307, 5.7437824152820465, 7.639376427636786, 9.534970439991525, 11.430564452346264, 13.326158464701004, 15.221752477055743, 17.117346489410483, 19.01294050176522]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.057000378217828634, 'percentile_98': 19.01294050176522}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.05700037821782864, 'max': 19.012940501765218, 'mean': 3.3591134478629296, 'count': 36.0, 'sum': 120.92808412306547, 'std': 3.6224374421569547, 'median': 1.9034478266961106, 'majority': 0.05700037821782864, 'minority': 0.05700037821782864, 'unique': 36.0, 'histogram': [[18.0, 8.0, 5.0, 2.0, 1.0, 1.0, 0.0, 0.0, 0.0, 1.0], [0.05700037821782864, 1.9525943905725676, 3.8481884029273066, 5.7437824152820465, 7.639376427636785, 9.534970439991524, 11.430564452346264, 13.326158464701003, 15.221752477055741, 17.11734648941048, 19.012940501765218]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.05700037821782864, 'percentile_98': 19.012940501765218}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.06521416219280307, 'max': 19.297676836705133, 'mean': 3.7596895060958024, 'count': 36.0, 'sum': 135.3488222194489, 'std': 3.8700056847761575, 'median': 2.170593466679465, 'majority': 0.06521416219280307, 'minority': 0.06521416219280307, 'unique': 36.0, 'histogram': [[15.0, 8.0, 6.0, 3.0, 1.0, 1.0, 1.0, 0.0, 0.0, 1.0], [0.06521416219280307, 1.988460429644036, 3.911706697095269, 5.834952964546502, 7.758199231997735, 9.681445499448968, 11.6046917669002, 13.527938034351433, 15.451184301802666, 17.3744305692539, 19.297676836705133]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.06521416219280307, 'percentile_98': 19.297676836705133}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.06521416219280307, 'max': 19.297676836705133, 'mean': 3.7596895060958024, 'count': 36.0, 'sum': 135.3488222194489, 'std': 3.8700056847761575, 'median': 2.170593466679465, 'majority': 0.06521416219280307, 'minority': 0.06521416219280307, 'unique': 36.0, 'histogram': [[15.0, 8.0, 6.0, 3.0, 1.0, 1.0, 1.0, 0.0, 0.0, 1.0], [0.06521416219280307, 1.988460429644036, 3.911706697095269, 5.834952964546502, 7.758199231997735, 9.681445499448968, 11.6046917669002, 13.527938034351433, 15.451184301802666, 17.3744305692539, 19.297676836705133]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.06521416219280307, 'percentile_98': 19.297676836705133}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.06521416219280307, 'max': 19.297676836705133, 'mean': 3.7596895060958024, 'count': 36.0, 'sum': 135.3488222194489, 'std': 3.8700056847761575, 'median': 2.170593466679465, 'majority': 0.06521416219280307, 'minority': 0.06521416219280307, 'unique': 36.0, 'histogram': [[15.0, 8.0, 6.0, 3.0, 1.0, 1.0, 1.0, 0.0, 0.0, 1.0], [0.06521416219280307, 1.988460429644036, 3.911706697095269, 5.834952964546502, 7.758199231997735, 9.681445499448968, 11.6046917669002, 13.527938034351433, 15.451184301802666, 17.3744305692539, 19.297676836705133]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.06521416219280307, 'percentile_98': 19.297676836705133}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.06521416219280307, 'max': 19.297676836705133, 'mean': 3.7596895060958024, 'count': 36.0, 'sum': 135.3488222194489, 'std': 3.8700056847761575, 'median': 2.170593466679465, 'majority': 0.06521416219280307, 'minority': 0.06521416219280307, 'unique': 36.0, 'histogram': [[15.0, 8.0, 6.0, 3.0, 1.0, 1.0, 1.0, 0.0, 0.0, 1.0], [0.06521416219280307, 1.988460429644036, 3.911706697095269, 5.834952964546502, 7.758199231997735, 9.681445499448968, 11.6046917669002, 13.527938034351433, 15.451184301802666, 17.3744305692539, 19.297676836705133]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.06521416219280307, 'percentile_98': 19.297676836705133}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.06521416219280307, 'max': 19.297676836705133, 'mean': 3.7596895060958024, 'count': 36.0, 'sum': 135.3488222194489, 'std': 3.8700056847761575, 'median': 2.170593466679465, 'majority': 0.06521416219280307, 'minority': 0.06521416219280307, 'unique': 36.0, 'histogram': [[15.0, 8.0, 6.0, 3.0, 1.0, 1.0, 1.0, 0.0, 0.0, 1.0], [0.06521416219280307, 1.988460429644036, 3.911706697095269, 5.834952964546502, 7.758199231997735, 9.681445499448968, 11.6046917669002, 13.527938034351433, 15.451184301802666, 17.3744305692539, 19.297676836705133]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.06521416219280307, 'percentile_98': 19.297676836705133}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.06521416219280307, 'max': 19.297676836705133, 'mean': 3.7596895060958024, 'count': 36.0, 'sum': 135.3488222194489, 'std': 3.8700056847761575, 'median': 2.170593466679465, 'majority': 0.06521416219280307, 'minority': 0.06521416219280307, 'unique': 36.0, 'histogram': [[15.0, 8.0, 6.0, 3.0, 1.0, 1.0, 1.0, 0.0, 0.0, 1.0], [0.06521416219280307, 1.988460429644036, 3.911706697095269, 5.834952964546502, 7.758199231997735, 9.681445499448968, 11.6046917669002, 13.527938034351433, 15.451184301802666, 17.3744305692539, 19.297676836705133]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.06521416219280307, 'percentile_98': 19.297676836705133}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.06521416219280307, 'max': 19.297676836705133, 'mean': 3.7596895060958024, 'count': 36.0, 'sum': 135.3488222194489, 'std': 3.8700056847761575, 'median': 2.170593466679465, 'majority': 0.06521416219280307, 'minority': 0.06521416219280307, 'unique': 36.0, 'histogram': [[15.0, 8.0, 6.0, 3.0, 1.0, 1.0, 1.0, 0.0, 0.0, 1.0], [0.06521416219280307, 1.988460429644036, 3.911706697095269, 5.834952964546502, 7.758199231997735, 9.681445499448968, 11.6046917669002, 13.527938034351433, 15.451184301802666, 17.3744305692539, 19.297676836705133]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.06521416219280307, 'percentile_98': 19.297676836705133}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.06521416219280307, 'max': 19.297676836705133, 'mean': 3.7596895060958024, 'count': 36.0, 'sum': 135.3488222194489, 'std': 3.8700056847761575, 'median': 2.170593466679465, 'majority': 0.06521416219280307, 'minority': 0.06521416219280307, 'unique': 36.0, 'histogram': [[15.0, 8.0, 6.0, 3.0, 1.0, 1.0, 1.0, 0.0, 0.0, 1.0], [0.06521416219280307, 1.988460429644036, 3.911706697095269, 5.834952964546502, 7.758199231997735, 9.681445499448968, 11.6046917669002, 13.527938034351433, 15.451184301802666, 17.3744305692539, 19.297676836705133]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.06521416219280307, 'percentile_98': 19.297676836705133}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.06521416219280307, 'max': 19.297676836705133, 'mean': 3.7596895060958024, 'count': 36.0, 'sum': 135.3488222194489, 'std': 3.8700056847761575, 'median': 2.170593466679465, 'majority': 0.06521416219280307, 'minority': 0.06521416219280307, 'unique': 36.0, 'histogram': [[15.0, 8.0, 6.0, 3.0, 1.0, 1.0, 1.0, 0.0, 0.0, 1.0], [0.06521416219280307, 1.988460429644036, 3.911706697095269, 5.834952964546502, 7.758199231997735, 9.681445499448968, 11.6046917669002, 13.527938034351433, 15.451184301802666, 17.3744305692539, 19.297676836705133]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.06521416219280307, 'percentile_98': 19.297676836705133}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.06521416219280307, 'max': 19.297676836705133, 'mean': 3.7596895060958024, 'count': 36.0, 'sum': 135.3488222194489, 'std': 3.8700056847761575, 'median': 2.170593466679465, 'majority': 0.06521416219280307, 'minority': 0.06521416219280307, 'unique': 36.0, 'histogram': [[15.0, 8.0, 6.0, 3.0, 1.0, 1.0, 1.0, 0.0, 0.0, 1.0], [0.06521416219280307, 1.988460429644036, 3.911706697095269, 5.834952964546502, 7.758199231997735, 9.681445499448968, 11.6046917669002, 13.527938034351433, 15.451184301802666, 17.3744305692539, 19.297676836705133]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.06521416219280307, 'percentile_98': 19.297676836705133}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.06521416219280307, 'max': 19.297676836705136, 'mean': 3.7596895060958024, 'count': 36.0, 'sum': 135.3488222194489, 'std': 3.8700056847761584, 'median': 2.170593466679465, 'majority': 0.06521416219280307, 'minority': 0.06521416219280307, 'unique': 36.0, 'histogram': [[15.0, 8.0, 6.0, 3.0, 1.0, 1.0, 1.0, 0.0, 0.0, 1.0], [0.06521416219280307, 1.9884604296440365, 3.91170669709527, 5.8349529645465035, 7.758199231997737, 9.68144549944897, 11.604691766900203, 13.527938034351436, 15.45118430180267, 17.374430569253903, 19.297676836705136]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.06521416219280307, 'percentile_98': 19.297676836705136}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.06521416219280307, 'max': 19.297676836705133, 'mean': 3.7596895060958024, 'count': 36.0, 'sum': 135.3488222194489, 'std': 3.8700056847761575, 'median': 2.170593466679465, 'majority': 0.06521416219280307, 'minority': 0.06521416219280307, 'unique': 36.0, 'histogram': [[15.0, 8.0, 6.0, 3.0, 1.0, 1.0, 1.0, 0.0, 0.0, 1.0], [0.06521416219280307, 1.988460429644036, 3.911706697095269, 5.834952964546502, 7.758199231997735, 9.681445499448968, 11.6046917669002, 13.527938034351433, 15.451184301802666, 17.3744305692539, 19.297676836705133]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.06521416219280307, 'percentile_98': 19.297676836705133}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.06564170217340089, 'max': 17.788216379456447, 'mean': 3.63835256992613, 'count': 36.0, 'sum': 130.98069251734069, 'std': 3.6526232484529304, 'median': 2.1544043639157815, 'majority': 0.06564170217340089, 'minority': 0.06564170217340089, 'unique': 36.0, 'histogram': [[15.0, 8.0, 6.0, 3.0, 1.0, 1.0, 1.0, 0.0, 0.0, 1.0], [0.06564170217340089, 1.8378991699017053, 3.61015663763001, 5.382414105358314, 7.154671573086619, 8.926929040814924, 10.699186508543228, 12.471443976271534, 14.243701443999838, 16.01595891172814, 17.788216379456447]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.06564170217340089, 'percentile_98': 17.788216379456447}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.06564170217340089, 'max': 17.788216379456447, 'mean': 3.63835256992613, 'count': 36.0, 'sum': 130.98069251734069, 'std': 3.6526232484529304, 'median': 2.1544043639157815, 'majority': 0.06564170217340089, 'minority': 0.06564170217340089, 'unique': 36.0, 'histogram': [[15.0, 8.0, 6.0, 3.0, 1.0, 1.0, 1.0, 0.0, 0.0, 1.0], [0.06564170217340089, 1.8378991699017053, 3.61015663763001, 5.382414105358314, 7.154671573086619, 8.926929040814924, 10.699186508543228, 12.471443976271534, 14.243701443999838, 16.01595891172814, 17.788216379456447]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.06564170217340089, 'percentile_98': 17.788216379456447}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.06564170217340089, 'max': 17.788216379456447, 'mean': 3.63835256992613, 'count': 36.0, 'sum': 130.98069251734069, 'std': 3.6526232484529304, 'median': 2.1544043639157815, 'majority': 0.06564170217340089, 'minority': 0.06564170217340089, 'unique': 36.0, 'histogram': [[15.0, 8.0, 6.0, 3.0, 1.0, 1.0, 1.0, 0.0, 0.0, 1.0], [0.06564170217340089, 1.8378991699017053, 3.61015663763001, 5.382414105358314, 7.154671573086619, 8.926929040814924, 10.699186508543228, 12.471443976271534, 14.243701443999838, 16.01595891172814, 17.788216379456447]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.06564170217340089, 'percentile_98': 17.788216379456447}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.06564170217340089, 'max': 17.788216379456447, 'mean': 3.63835256992613, 'count': 36.0, 'sum': 130.98069251734069, 'std': 3.6526232484529304, 'median': 2.1544043639157815, 'majority': 0.06564170217340089, 'minority': 0.06564170217340089, 'unique': 36.0, 'histogram': [[15.0, 8.0, 6.0, 3.0, 1.0, 1.0, 1.0, 0.0, 0.0, 1.0], [0.06564170217340089, 1.8378991699017053, 3.61015663763001, 5.382414105358314, 7.154671573086619, 8.926929040814924, 10.699186508543228, 12.471443976271534, 14.243701443999838, 16.01595891172814, 17.788216379456447]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.06564170217340089, 'percentile_98': 17.788216379456447}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.06564170217340089, 'max': 17.788216379456447, 'mean': 3.63835256992613, 'count': 36.0, 'sum': 130.98069251734069, 'std': 3.6526232484529304, 'median': 2.1544043639157815, 'majority': 0.06564170217340089, 'minority': 0.06564170217340089, 'unique': 36.0, 'histogram': [[15.0, 8.0, 6.0, 3.0, 1.0, 1.0, 1.0, 0.0, 0.0, 1.0], [0.06564170217340089, 1.8378991699017053, 3.61015663763001, 5.382414105358314, 7.154671573086619, 8.926929040814924, 10.699186508543228, 12.471443976271534, 14.243701443999838, 16.01595891172814, 17.788216379456447]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.06564170217340089, 'percentile_98': 17.788216379456447}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.06564170217340089, 'max': 17.788216379456447, 'mean': 3.63835256992613, 'count': 36.0, 'sum': 130.98069251734069, 'std': 3.6526232484529304, 'median': 2.1544043639157815, 'majority': 0.06564170217340089, 'minority': 0.06564170217340089, 'unique': 36.0, 'histogram': [[15.0, 8.0, 6.0, 3.0, 1.0, 1.0, 1.0, 0.0, 0.0, 1.0], [0.06564170217340089, 1.8378991699017053, 3.61015663763001, 5.382414105358314, 7.154671573086619, 8.926929040814924, 10.699186508543228, 12.471443976271534, 14.243701443999838, 16.01595891172814, 17.788216379456447]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.06564170217340089, 'percentile_98': 17.788216379456447}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.06564170217340089, 'max': 17.788216379456447, 'mean': 3.63835256992613, 'count': 36.0, 'sum': 130.98069251734069, 'std': 3.6526232484529304, 'median': 2.1544043639157815, 'majority': 0.06564170217340089, 'minority': 0.06564170217340089, 'unique': 36.0, 'histogram': [[15.0, 8.0, 6.0, 3.0, 1.0, 1.0, 1.0, 0.0, 0.0, 1.0], [0.06564170217340089, 1.8378991699017053, 3.61015663763001, 5.382414105358314, 7.154671573086619, 8.926929040814924, 10.699186508543228, 12.471443976271534, 14.243701443999838, 16.01595891172814, 17.788216379456447]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.06564170217340089, 'percentile_98': 17.788216379456447}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.06564170217340089, 'max': 17.788216379456447, 'mean': 3.63835256992613, 'count': 36.0, 'sum': 130.98069251734069, 'std': 3.6526232484529304, 'median': 2.1544043639157815, 'majority': 0.06564170217340089, 'minority': 0.06564170217340089, 'unique': 36.0, 'histogram': [[15.0, 8.0, 6.0, 3.0, 1.0, 1.0, 1.0, 0.0, 0.0, 1.0], [0.06564170217340089, 1.8378991699017053, 3.61015663763001, 5.382414105358314, 7.154671573086619, 8.926929040814924, 10.699186508543228, 12.471443976271534, 14.243701443999838, 16.01595891172814, 17.788216379456447]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.06564170217340089, 'percentile_98': 17.788216379456447}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.06564170217340089, 'max': 17.788216379456447, 'mean': 3.63835256992613, 'count': 36.0, 'sum': 130.98069251734069, 'std': 3.6526232484529304, 'median': 2.1544043639157815, 'majority': 0.06564170217340089, 'minority': 0.06564170217340089, 'unique': 36.0, 'histogram': [[15.0, 8.0, 6.0, 3.0, 1.0, 1.0, 1.0, 0.0, 0.0, 1.0], [0.06564170217340089, 1.8378991699017053, 3.61015663763001, 5.382414105358314, 7.154671573086619, 8.926929040814924, 10.699186508543228, 12.471443976271534, 14.243701443999838, 16.01595891172814, 17.788216379456447]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.06564170217340089, 'percentile_98': 17.788216379456447}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.06564170217340089, 'max': 17.788216379456447, 'mean': 3.63835256992613, 'count': 36.0, 'sum': 130.98069251734069, 'std': 3.6526232484529304, 'median': 2.1544043639157815, 'majority': 0.06564170217340089, 'minority': 0.06564170217340089, 'unique': 36.0, 'histogram': [[15.0, 8.0, 6.0, 3.0, 1.0, 1.0, 1.0, 0.0, 0.0, 1.0], [0.06564170217340089, 1.8378991699017053, 3.61015663763001, 5.382414105358314, 7.154671573086619, 8.926929040814924, 10.699186508543228, 12.471443976271534, 14.243701443999838, 16.01595891172814, 17.788216379456447]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.06564170217340089, 'percentile_98': 17.788216379456447}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.06564170217340089, 'max': 17.788216379456447, 'mean': 3.638352569926129, 'count': 36.0, 'sum': 130.98069251734066, 'std': 3.6526232484529304, 'median': 2.1544043639157815, 'majority': 0.06564170217340089, 'minority': 0.06564170217340089, 'unique': 36.0, 'histogram': [[15.0, 8.0, 6.0, 3.0, 1.0, 1.0, 1.0, 0.0, 0.0, 1.0], [0.06564170217340089, 1.8378991699017053, 3.61015663763001, 5.382414105358314, 7.154671573086619, 8.926929040814924, 10.699186508543228, 12.471443976271534, 14.243701443999838, 16.01595891172814, 17.788216379456447]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.06564170217340089, 'percentile_98': 17.788216379456447}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.06564170217340089, 'max': 17.788216379456447, 'mean': 3.63835256992613, 'count': 36.0, 'sum': 130.98069251734069, 'std': 3.6526232484529304, 'median': 2.1544043639157815, 'majority': 0.06564170217340089, 'minority': 0.06564170217340089, 'unique': 36.0, 'histogram': [[15.0, 8.0, 6.0, 3.0, 1.0, 1.0, 1.0, 0.0, 0.0, 1.0], [0.06564170217340089, 1.8378991699017053, 3.61015663763001, 5.382414105358314, 7.154671573086619, 8.926929040814924, 10.699186508543228, 12.471443976271534, 14.243701443999838, 16.01595891172814, 17.788216379456447]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.06564170217340089, 'percentile_98': 17.788216379456447}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.08306719506774579, 'max': 22.197690201784734, 'mean': 4.572854440848968, 'count': 36.0, 'sum': 164.62275987056287, 'std': 4.563661183958427, 'median': 2.7309298669526565, 'majority': 0.08306719506774579, 'minority': 0.08306719506774579, 'unique': 36.0, 'histogram': [[14.0, 9.0, 5.0, 4.0, 1.0, 1.0, 1.0, 0.0, 0.0, 1.0], [0.08306719506774579, 2.294529495739445, 4.505991796411144, 6.717454097082843, 8.928916397754543, 11.140378698426241, 13.351840999097941, 15.563303299769641, 17.774765600441338, 19.986227901113036, 22.197690201784734]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.08306719506774579, 'percentile_98': 22.197690201784734}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.08306719506774579, 'max': 22.197690201784734, 'mean': 4.572854440848969, 'count': 36.0, 'sum': 164.6227598705629, 'std': 4.563661183958428, 'median': 2.7309298669526565, 'majority': 0.08306719506774579, 'minority': 0.08306719506774579, 'unique': 36.0, 'histogram': [[14.0, 9.0, 5.0, 4.0, 1.0, 1.0, 1.0, 0.0, 0.0, 1.0], [0.08306719506774579, 2.294529495739445, 4.505991796411144, 6.717454097082843, 8.928916397754543, 11.140378698426241, 13.351840999097941, 15.563303299769641, 17.774765600441338, 19.986227901113036, 22.197690201784734]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.08306719506774579, 'percentile_98': 22.197690201784734}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.08306719506774579, 'max': 22.197690201784734, 'mean': 4.572854440848968, 'count': 36.0, 'sum': 164.62275987056287, 'std': 4.563661183958427, 'median': 2.7309298669526565, 'majority': 0.08306719506774579, 'minority': 0.08306719506774579, 'unique': 36.0, 'histogram': [[14.0, 9.0, 5.0, 4.0, 1.0, 1.0, 1.0, 0.0, 0.0, 1.0], [0.08306719506774579, 2.294529495739445, 4.505991796411144, 6.717454097082843, 8.928916397754543, 11.140378698426241, 13.351840999097941, 15.563303299769641, 17.774765600441338, 19.986227901113036, 22.197690201784734]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.08306719506774579, 'percentile_98': 22.197690201784734}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.08306719506774579, 'max': 22.197690201784734, 'mean': 4.572854440848969, 'count': 36.0, 'sum': 164.6227598705629, 'std': 4.563661183958428, 'median': 2.7309298669526565, 'majority': 0.08306719506774579, 'minority': 0.08306719506774579, 'unique': 36.0, 'histogram': [[14.0, 9.0, 5.0, 4.0, 1.0, 1.0, 1.0, 0.0, 0.0, 1.0], [0.08306719506774579, 2.294529495739445, 4.505991796411144, 6.717454097082843, 8.928916397754543, 11.140378698426241, 13.351840999097941, 15.563303299769641, 17.774765600441338, 19.986227901113036, 22.197690201784734]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.08306719506774579, 'percentile_98': 22.197690201784734}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.08306719506774579, 'max': 22.197690201784734, 'mean': 4.572854440848968, 'count': 36.0, 'sum': 164.62275987056287, 'std': 4.563661183958427, 'median': 2.7309298669526565, 'majority': 0.08306719506774579, 'minority': 0.08306719506774579, 'unique': 36.0, 'histogram': [[14.0, 9.0, 5.0, 4.0, 1.0, 1.0, 1.0, 0.0, 0.0, 1.0], [0.08306719506774579, 2.294529495739445, 4.505991796411144, 6.717454097082843, 8.928916397754543, 11.140378698426241, 13.351840999097941, 15.563303299769641, 17.774765600441338, 19.986227901113036, 22.197690201784734]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.08306719506774579, 'percentile_98': 22.197690201784734}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.08306719506774579, 'max': 22.197690201784734, 'mean': 4.572854440848968, 'count': 36.0, 'sum': 164.62275987056287, 'std': 4.563661183958427, 'median': 2.7309298669526565, 'majority': 0.08306719506774579, 'minority': 0.08306719506774579, 'unique': 36.0, 'histogram': [[14.0, 9.0, 5.0, 4.0, 1.0, 1.0, 1.0, 0.0, 0.0, 1.0], [0.08306719506774579, 2.294529495739445, 4.505991796411144, 6.717454097082843, 8.928916397754543, 11.140378698426241, 13.351840999097941, 15.563303299769641, 17.774765600441338, 19.986227901113036, 22.197690201784734]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.08306719506774579, 'percentile_98': 22.197690201784734}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.08306719506774579, 'max': 22.197690201784734, 'mean': 4.572854440848969, 'count': 36.0, 'sum': 164.6227598705629, 'std': 4.563661183958428, 'median': 2.7309298669526565, 'majority': 0.08306719506774579, 'minority': 0.08306719506774579, 'unique': 36.0, 'histogram': [[14.0, 9.0, 5.0, 4.0, 1.0, 1.0, 1.0, 0.0, 0.0, 1.0], [0.08306719506774579, 2.294529495739445, 4.505991796411144, 6.717454097082843, 8.928916397754543, 11.140378698426241, 13.351840999097941, 15.563303299769641, 17.774765600441338, 19.986227901113036, 22.197690201784734]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.08306719506774579, 'percentile_98': 22.197690201784734}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.08306719506774579, 'max': 22.197690201784734, 'mean': 4.572854440848968, 'count': 36.0, 'sum': 164.62275987056287, 'std': 4.563661183958427, 'median': 2.7309298669526565, 'majority': 0.08306719506774579, 'minority': 0.08306719506774579, 'unique': 36.0, 'histogram': [[14.0, 9.0, 5.0, 4.0, 1.0, 1.0, 1.0, 0.0, 0.0, 1.0], [0.08306719506774579, 2.294529495739445, 4.505991796411144, 6.717454097082843, 8.928916397754543, 11.140378698426241, 13.351840999097941, 15.563303299769641, 17.774765600441338, 19.986227901113036, 22.197690201784734]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.08306719506774579, 'percentile_98': 22.197690201784734}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.08306719506774579, 'max': 22.197690201784734, 'mean': 4.572854440848969, 'count': 36.0, 'sum': 164.6227598705629, 'std': 4.563661183958428, 'median': 2.7309298669526565, 'majority': 0.08306719506774579, 'minority': 0.08306719506774579, 'unique': 36.0, 'histogram': [[14.0, 9.0, 5.0, 4.0, 1.0, 1.0, 1.0, 0.0, 0.0, 1.0], [0.08306719506774579, 2.294529495739445, 4.505991796411144, 6.717454097082843, 8.928916397754543, 11.140378698426241, 13.351840999097941, 15.563303299769641, 17.774765600441338, 19.986227901113036, 22.197690201784734]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.08306719506774579, 'percentile_98': 22.197690201784734}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.08306719506774579, 'max': 22.197690201784734, 'mean': 4.572854440848968, 'count': 36.0, 'sum': 164.62275987056287, 'std': 4.563661183958427, 'median': 2.7309298669526565, 'majority': 0.08306719506774579, 'minority': 0.08306719506774579, 'unique': 36.0, 'histogram': [[14.0, 9.0, 5.0, 4.0, 1.0, 1.0, 1.0, 0.0, 0.0, 1.0], [0.08306719506774579, 2.294529495739445, 4.505991796411144, 6.717454097082843, 8.928916397754543, 11.140378698426241, 13.351840999097941, 15.563303299769641, 17.774765600441338, 19.986227901113036, 22.197690201784734]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.08306719506774579, 'percentile_98': 22.197690201784734}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.08306719506774579, 'max': 22.197690201784734, 'mean': 4.572854440848969, 'count': 36.0, 'sum': 164.6227598705629, 'std': 4.563661183958428, 'median': 2.7309298669526565, 'majority': 0.08306719506774579, 'minority': 0.08306719506774579, 'unique': 36.0, 'histogram': [[14.0, 9.0, 5.0, 4.0, 1.0, 1.0, 1.0, 0.0, 0.0, 1.0], [0.08306719506774579, 2.294529495739445, 4.505991796411144, 6.717454097082843, 8.928916397754543, 11.140378698426241, 13.351840999097941, 15.563303299769641, 17.774765600441338, 19.986227901113036, 22.197690201784734]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.08306719506774579, 'percentile_98': 22.197690201784734}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.08306719506774579, 'max': 22.197690201784734, 'mean': 4.572854440848968, 'count': 36.0, 'sum': 164.62275987056287, 'std': 4.563661183958427, 'median': 2.7309298669526565, 'majority': 0.08306719506774579, 'minority': 0.08306719506774579, 'unique': 36.0, 'histogram': [[14.0, 9.0, 5.0, 4.0, 1.0, 1.0, 1.0, 0.0, 0.0, 1.0], [0.08306719506774579, 2.294529495739445, 4.505991796411144, 6.717454097082843, 8.928916397754543, 11.140378698426241, 13.351840999097941, 15.563303299769641, 17.774765600441338, 19.986227901113036, 22.197690201784734]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.08306719506774579, 'percentile_98': 22.197690201784734}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.09013736899061185, 'max': 22.629271215772338, 'mean': 4.838336807884279, 'count': 36.0, 'sum': 174.180125083834, 'std': 4.734412826104372, 'median': 2.9781794884311257, 'majority': 0.09013736899061185, 'minority': 0.09013736899061185, 'unique': 36.0, 'histogram': [[13.0, 9.0, 6.0, 4.0, 1.0, 0.0, 1.0, 1.0, 0.0, 1.0], [0.09013736899061185, 2.3440507536687845, 4.597964138346957, 6.85187752302513, 9.105790907703303, 11.359704292381476, 13.613617677059649, 15.867531061737822, 18.121444446415993, 20.375357831094163, 22.629271215772338]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.09013736899061185, 'percentile_98': 22.629271215772338}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.09013736899061185, 'max': 22.629271215772338, 'mean': 4.838336807884279, 'count': 36.0, 'sum': 174.180125083834, 'std': 4.734412826104373, 'median': 2.9781794884311257, 'majority': 0.09013736899061185, 'minority': 0.09013736899061185, 'unique': 36.0, 'histogram': [[13.0, 9.0, 6.0, 4.0, 1.0, 0.0, 1.0, 1.0, 0.0, 1.0], [0.09013736899061185, 2.3440507536687845, 4.597964138346957, 6.85187752302513, 9.105790907703303, 11.359704292381476, 13.613617677059649, 15.867531061737822, 18.121444446415993, 20.375357831094163, 22.629271215772338]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.09013736899061185, 'percentile_98': 22.629271215772338}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.09013736899061185, 'max': 22.629271215772338, 'mean': 4.838336807884279, 'count': 36.0, 'sum': 174.180125083834, 'std': 4.734412826104372, 'median': 2.9781794884311257, 'majority': 0.09013736899061185, 'minority': 0.09013736899061185, 'unique': 36.0, 'histogram': [[13.0, 9.0, 6.0, 4.0, 1.0, 0.0, 1.0, 1.0, 0.0, 1.0], [0.09013736899061185, 2.3440507536687845, 4.597964138346957, 6.85187752302513, 9.105790907703303, 11.359704292381476, 13.613617677059649, 15.867531061737822, 18.121444446415993, 20.375357831094163, 22.629271215772338]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.09013736899061185, 'percentile_98': 22.629271215772338}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.09013736899061185, 'max': 22.629271215772338, 'mean': 4.838336807884279, 'count': 36.0, 'sum': 174.180125083834, 'std': 4.734412826104373, 'median': 2.9781794884311257, 'majority': 0.09013736899061185, 'minority': 0.09013736899061185, 'unique': 36.0, 'histogram': [[13.0, 9.0, 6.0, 4.0, 1.0, 0.0, 1.0, 1.0, 0.0, 1.0], [0.09013736899061185, 2.3440507536687845, 4.597964138346957, 6.85187752302513, 9.105790907703303, 11.359704292381476, 13.613617677059649, 15.867531061737822, 18.121444446415993, 20.375357831094163, 22.629271215772338]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.09013736899061185, 'percentile_98': 22.629271215772338}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.09013736899061185, 'max': 22.629271215772338, 'mean': 4.838336807884279, 'count': 36.0, 'sum': 174.180125083834, 'std': 4.734412826104372, 'median': 2.9781794884311257, 'majority': 0.09013736899061185, 'minority': 0.09013736899061185, 'unique': 36.0, 'histogram': [[13.0, 9.0, 6.0, 4.0, 1.0, 0.0, 1.0, 1.0, 0.0, 1.0], [0.09013736899061185, 2.3440507536687845, 4.597964138346957, 6.85187752302513, 9.105790907703303, 11.359704292381476, 13.613617677059649, 15.867531061737822, 18.121444446415993, 20.375357831094163, 22.629271215772338]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.09013736899061185, 'percentile_98': 22.629271215772338}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.09013736899061185, 'max': 22.629271215772338, 'mean': 4.838336807884279, 'count': 36.0, 'sum': 174.180125083834, 'std': 4.734412826104372, 'median': 2.9781794884311257, 'majority': 0.09013736899061185, 'minority': 0.09013736899061185, 'unique': 36.0, 'histogram': [[13.0, 9.0, 6.0, 4.0, 1.0, 0.0, 1.0, 1.0, 0.0, 1.0], [0.09013736899061185, 2.3440507536687845, 4.597964138346957, 6.85187752302513, 9.105790907703303, 11.359704292381476, 13.613617677059649, 15.867531061737822, 18.121444446415993, 20.375357831094163, 22.629271215772338]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.09013736899061185, 'percentile_98': 22.629271215772338}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.09013736899061185, 'max': 22.629271215772338, 'mean': 4.838336807884279, 'count': 36.0, 'sum': 174.180125083834, 'std': 4.734412826104373, 'median': 2.9781794884311257, 'majority': 0.09013736899061185, 'minority': 0.09013736899061185, 'unique': 36.0, 'histogram': [[13.0, 9.0, 6.0, 4.0, 1.0, 0.0, 1.0, 1.0, 0.0, 1.0], [0.09013736899061185, 2.3440507536687845, 4.597964138346957, 6.85187752302513, 9.105790907703303, 11.359704292381476, 13.613617677059649, 15.867531061737822, 18.121444446415993, 20.375357831094163, 22.629271215772338]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.09013736899061185, 'percentile_98': 22.629271215772338}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.09013736899061185, 'max': 22.629271215772338, 'mean': 4.838336807884279, 'count': 36.0, 'sum': 174.180125083834, 'std': 4.734412826104372, 'median': 2.9781794884311257, 'majority': 0.09013736899061185, 'minority': 0.09013736899061185, 'unique': 36.0, 'histogram': [[13.0, 9.0, 6.0, 4.0, 1.0, 0.0, 1.0, 1.0, 0.0, 1.0], [0.09013736899061185, 2.3440507536687845, 4.597964138346957, 6.85187752302513, 9.105790907703303, 11.359704292381476, 13.613617677059649, 15.867531061737822, 18.121444446415993, 20.375357831094163, 22.629271215772338]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.09013736899061185, 'percentile_98': 22.629271215772338}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.09013736899061185, 'max': 22.629271215772338, 'mean': 4.838336807884279, 'count': 36.0, 'sum': 174.180125083834, 'std': 4.734412826104373, 'median': 2.9781794884311257, 'majority': 0.09013736899061185, 'minority': 0.09013736899061185, 'unique': 36.0, 'histogram': [[13.0, 9.0, 6.0, 4.0, 1.0, 0.0, 1.0, 1.0, 0.0, 1.0], [0.09013736899061185, 2.3440507536687845, 4.597964138346957, 6.85187752302513, 9.105790907703303, 11.359704292381476, 13.613617677059649, 15.867531061737822, 18.121444446415993, 20.375357831094163, 22.629271215772338]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.09013736899061185, 'percentile_98': 22.629271215772338}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.09013736899061185, 'max': 22.629271215772338, 'mean': 4.838336807884279, 'count': 36.0, 'sum': 174.180125083834, 'std': 4.734412826104372, 'median': 2.9781794884311257, 'majority': 0.09013736899061185, 'minority': 0.09013736899061185, 'unique': 36.0, 'histogram': [[13.0, 9.0, 6.0, 4.0, 1.0, 0.0, 1.0, 1.0, 0.0, 1.0], [0.09013736899061185, 2.3440507536687845, 4.597964138346957, 6.85187752302513, 9.105790907703303, 11.359704292381476, 13.613617677059649, 15.867531061737822, 18.121444446415993, 20.375357831094163, 22.629271215772338]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.09013736899061185, 'percentile_98': 22.629271215772338}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.09013736899061185, 'max': 22.62927121577234, 'mean': 4.838336807884279, 'count': 36.0, 'sum': 174.180125083834, 'std': 4.734412826104373, 'median': 2.9781794884311257, 'majority': 0.09013736899061185, 'minority': 0.09013736899061185, 'unique': 36.0, 'histogram': [[13.0, 9.0, 6.0, 4.0, 1.0, 0.0, 1.0, 1.0, 0.0, 1.0], [0.09013736899061185, 2.344050753668785, 4.597964138346958, 6.851877523025132, 9.105790907703305, 11.359704292381478, 13.613617677059652, 15.867531061737825, 18.121444446415996, 20.37535783109417, 22.62927121577234]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.09013736899061185, 'percentile_98': 22.62927121577234}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.09013736899061185, 'max': 22.629271215772338, 'mean': 4.838336807884279, 'count': 36.0, 'sum': 174.180125083834, 'std': 4.734412826104372, 'median': 2.9781794884311257, 'majority': 0.09013736899061185, 'minority': 0.09013736899061185, 'unique': 36.0, 'histogram': [[13.0, 9.0, 6.0, 4.0, 1.0, 0.0, 1.0, 1.0, 0.0, 1.0], [0.09013736899061185, 2.3440507536687845, 4.597964138346957, 6.85187752302513, 9.105790907703303, 11.359704292381476, 13.613617677059649, 15.867531061737822, 18.121444446415993, 20.375357831094163, 22.629271215772338]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.09013736899061185, 'percentile_98': 22.629271215772338}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.09959954704184086, 'max': 29.329479922592046, 'mean': 5.437024362179681, 'count': 36.0, 'sum': 195.73287703846853, 'std': 5.660742853229752, 'median': 3.2918155176753596, 'majority': 0.09959954704184086, 'minority': 0.09959954704184086, 'unique': 36.0, 'histogram': [[16.0, 9.0, 6.0, 2.0, 0.0, 2.0, 0.0, 0.0, 0.0, 1.0], [0.09959954704184086, 3.0225875845968613, 5.945575622151882, 8.868563659706902, 11.791551697261923, 14.714539734816944, 17.637527772371964, 20.560515809926983, 23.483503847482005, 26.406491885037028, 29.329479922592046]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.09959954704184086, 'percentile_98': 29.329479922592046}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.09959954704184086, 'max': 29.329479922592046, 'mean': 5.437024362179681, 'count': 36.0, 'sum': 195.73287703846853, 'std': 5.660742853229752, 'median': 3.2918155176753596, 'majority': 0.09959954704184086, 'minority': 0.09959954704184086, 'unique': 36.0, 'histogram': [[16.0, 9.0, 6.0, 2.0, 0.0, 2.0, 0.0, 0.0, 0.0, 1.0], [0.09959954704184086, 3.0225875845968613, 5.945575622151882, 8.868563659706902, 11.791551697261923, 14.714539734816944, 17.637527772371964, 20.560515809926983, 23.483503847482005, 26.406491885037028, 29.329479922592046]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.09959954704184086, 'percentile_98': 29.329479922592046}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.09959954704184086, 'max': 29.329479922592046, 'mean': 5.437024362179681, 'count': 36.0, 'sum': 195.73287703846853, 'std': 5.660742853229752, 'median': 3.2918155176753596, 'majority': 0.09959954704184086, 'minority': 0.09959954704184086, 'unique': 36.0, 'histogram': [[16.0, 9.0, 6.0, 2.0, 0.0, 2.0, 0.0, 0.0, 0.0, 1.0], [0.09959954704184086, 3.0225875845968613, 5.945575622151882, 8.868563659706902, 11.791551697261923, 14.714539734816944, 17.637527772371964, 20.560515809926983, 23.483503847482005, 26.406491885037028, 29.329479922592046]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.09959954704184086, 'percentile_98': 29.329479922592046}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.09959954704184086, 'max': 29.329479922592046, 'mean': 5.437024362179681, 'count': 36.0, 'sum': 195.73287703846853, 'std': 5.660742853229752, 'median': 3.2918155176753596, 'majority': 0.09959954704184086, 'minority': 0.09959954704184086, 'unique': 36.0, 'histogram': [[16.0, 9.0, 6.0, 2.0, 0.0, 2.0, 0.0, 0.0, 0.0, 1.0], [0.09959954704184086, 3.0225875845968613, 5.945575622151882, 8.868563659706902, 11.791551697261923, 14.714539734816944, 17.637527772371964, 20.560515809926983, 23.483503847482005, 26.406491885037028, 29.329479922592046]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.09959954704184086, 'percentile_98': 29.329479922592046}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.09959954704184086, 'max': 29.329479922592046, 'mean': 5.437024362179681, 'count': 36.0, 'sum': 195.73287703846853, 'std': 5.660742853229752, 'median': 3.2918155176753596, 'majority': 0.09959954704184086, 'minority': 0.09959954704184086, 'unique': 36.0, 'histogram': [[16.0, 9.0, 6.0, 2.0, 0.0, 2.0, 0.0, 0.0, 0.0, 1.0], [0.09959954704184086, 3.0225875845968613, 5.945575622151882, 8.868563659706902, 11.791551697261923, 14.714539734816944, 17.637527772371964, 20.560515809926983, 23.483503847482005, 26.406491885037028, 29.329479922592046]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.09959954704184086, 'percentile_98': 29.329479922592046}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.09959954704184086, 'max': 29.329479922592046, 'mean': 5.437024362179681, 'count': 36.0, 'sum': 195.73287703846853, 'std': 5.660742853229752, 'median': 3.2918155176753596, 'majority': 0.09959954704184086, 'minority': 0.09959954704184086, 'unique': 36.0, 'histogram': [[16.0, 9.0, 6.0, 2.0, 0.0, 2.0, 0.0, 0.0, 0.0, 1.0], [0.09959954704184086, 3.0225875845968613, 5.945575622151882, 8.868563659706902, 11.791551697261923, 14.714539734816944, 17.637527772371964, 20.560515809926983, 23.483503847482005, 26.406491885037028, 29.329479922592046]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.09959954704184086, 'percentile_98': 29.329479922592046}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.09959954704184086, 'max': 29.329479922592046, 'mean': 5.437024362179681, 'count': 36.0, 'sum': 195.73287703846853, 'std': 5.660742853229752, 'median': 3.2918155176753596, 'majority': 0.09959954704184086, 'minority': 0.09959954704184086, 'unique': 36.0, 'histogram': [[16.0, 9.0, 6.0, 2.0, 0.0, 2.0, 0.0, 0.0, 0.0, 1.0], [0.09959954704184086, 3.0225875845968613, 5.945575622151882, 8.868563659706902, 11.791551697261923, 14.714539734816944, 17.637527772371964, 20.560515809926983, 23.483503847482005, 26.406491885037028, 29.329479922592046]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.09959954704184086, 'percentile_98': 29.329479922592046}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.09959954704184086, 'max': 29.329479922592046, 'mean': 5.437024362179681, 'count': 36.0, 'sum': 195.73287703846853, 'std': 5.660742853229752, 'median': 3.2918155176753596, 'majority': 0.09959954704184086, 'minority': 0.09959954704184086, 'unique': 36.0, 'histogram': [[16.0, 9.0, 6.0, 2.0, 0.0, 2.0, 0.0, 0.0, 0.0, 1.0], [0.09959954704184086, 3.0225875845968613, 5.945575622151882, 8.868563659706902, 11.791551697261923, 14.714539734816944, 17.637527772371964, 20.560515809926983, 23.483503847482005, 26.406491885037028, 29.329479922592046]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.09959954704184086, 'percentile_98': 29.329479922592046}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.09959954704184086, 'max': 29.329479922592046, 'mean': 5.437024362179681, 'count': 36.0, 'sum': 195.73287703846853, 'std': 5.660742853229752, 'median': 3.2918155176753596, 'majority': 0.09959954704184086, 'minority': 0.09959954704184086, 'unique': 36.0, 'histogram': [[16.0, 9.0, 6.0, 2.0, 0.0, 2.0, 0.0, 0.0, 0.0, 1.0], [0.09959954704184086, 3.0225875845968613, 5.945575622151882, 8.868563659706902, 11.791551697261923, 14.714539734816944, 17.637527772371964, 20.560515809926983, 23.483503847482005, 26.406491885037028, 29.329479922592046]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.09959954704184086, 'percentile_98': 29.329479922592046}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.09959954704184086, 'max': 29.329479922592046, 'mean': 5.437024362179681, 'count': 36.0, 'sum': 195.73287703846853, 'std': 5.660742853229752, 'median': 3.2918155176753596, 'majority': 0.09959954704184086, 'minority': 0.09959954704184086, 'unique': 36.0, 'histogram': [[16.0, 9.0, 6.0, 2.0, 0.0, 2.0, 0.0, 0.0, 0.0, 1.0], [0.09959954704184086, 3.0225875845968613, 5.945575622151882, 8.868563659706902, 11.791551697261923, 14.714539734816944, 17.637527772371964, 20.560515809926983, 23.483503847482005, 26.406491885037028, 29.329479922592046]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.09959954704184086, 'percentile_98': 29.329479922592046}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.09959954704184086, 'max': 29.329479922592046, 'mean': 5.437024362179681, 'count': 36.0, 'sum': 195.73287703846853, 'std': 5.660742853229752, 'median': 3.2918155176753596, 'majority': 0.09959954704184086, 'minority': 0.09959954704184086, 'unique': 36.0, 'histogram': [[16.0, 9.0, 6.0, 2.0, 0.0, 2.0, 0.0, 0.0, 0.0, 1.0], [0.09959954704184086, 3.0225875845968613, 5.945575622151882, 8.868563659706902, 11.791551697261923, 14.714539734816944, 17.637527772371964, 20.560515809926983, 23.483503847482005, 26.406491885037028, 29.329479922592046]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.09959954704184086, 'percentile_98': 29.329479922592046}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.09959954704184086, 'max': 29.329479922592046, 'mean': 5.437024362179681, 'count': 36.0, 'sum': 195.73287703846853, 'std': 5.660742853229752, 'median': 3.2918155176753596, 'majority': 0.09959954704184086, 'minority': 0.09959954704184086, 'unique': 36.0, 'histogram': [[16.0, 9.0, 6.0, 2.0, 0.0, 2.0, 0.0, 0.0, 0.0, 1.0], [0.09959954704184086, 3.0225875845968613, 5.945575622151882, 8.868563659706902, 11.791551697261923, 14.714539734816944, 17.637527772371964, 20.560515809926983, 23.483503847482005, 26.406491885037028, 29.329479922592046]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.09959954704184086, 'percentile_98': 29.329479922592046}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.08247489535275522, 'max': 26.69475599253677, 'mean': 4.649424679209406, 'count': 36.0, 'sum': 167.3792884515386, 'std': 4.977627965821467, 'median': 2.70443272507347, 'majority': 0.08247489535275522, 'minority': 0.08247489535275522, 'unique': 36.0, 'histogram': [[18.0, 7.0, 6.0, 2.0, 1.0, 1.0, 0.0, 0.0, 0.0, 1.0], [0.08247489535275522, 2.743703005071157, 5.404931114789558, 8.06615922450796, 10.72738733422636, 13.388615443944762, 16.049843553663166, 18.711071663381567, 21.372299773099968, 24.03352788281837, 26.69475599253677]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.08247489535275522, 'percentile_98': 26.69475599253677}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.08247489535275522, 'max': 26.69475599253677, 'mean': 4.649424679209406, 'count': 36.0, 'sum': 167.3792884515386, 'std': 4.977627965821467, 'median': 2.7044327250734708, 'majority': 0.08247489535275522, 'minority': 0.08247489535275522, 'unique': 36.0, 'histogram': [[18.0, 7.0, 6.0, 2.0, 1.0, 1.0, 0.0, 0.0, 0.0, 1.0], [0.08247489535275522, 2.743703005071157, 5.404931114789558, 8.06615922450796, 10.72738733422636, 13.388615443944762, 16.049843553663166, 18.711071663381567, 21.372299773099968, 24.03352788281837, 26.69475599253677]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.08247489535275522, 'percentile_98': 26.69475599253677}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.08247489535275522, 'max': 26.69475599253677, 'mean': 4.649424679209406, 'count': 36.0, 'sum': 167.3792884515386, 'std': 4.977627965821467, 'median': 2.70443272507347, 'majority': 0.08247489535275522, 'minority': 0.08247489535275522, 'unique': 36.0, 'histogram': [[18.0, 7.0, 6.0, 2.0, 1.0, 1.0, 0.0, 0.0, 0.0, 1.0], [0.08247489535275522, 2.743703005071157, 5.404931114789558, 8.06615922450796, 10.72738733422636, 13.388615443944762, 16.049843553663166, 18.711071663381567, 21.372299773099968, 24.03352788281837, 26.69475599253677]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.08247489535275522, 'percentile_98': 26.69475599253677}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.08247489535275522, 'max': 26.69475599253677, 'mean': 4.649424679209406, 'count': 36.0, 'sum': 167.3792884515386, 'std': 4.977627965821467, 'median': 2.7044327250734708, 'majority': 0.08247489535275522, 'minority': 0.08247489535275522, 'unique': 36.0, 'histogram': [[18.0, 7.0, 6.0, 2.0, 1.0, 1.0, 0.0, 0.0, 0.0, 1.0], [0.08247489535275522, 2.743703005071157, 5.404931114789558, 8.06615922450796, 10.72738733422636, 13.388615443944762, 16.049843553663166, 18.711071663381567, 21.372299773099968, 24.03352788281837, 26.69475599253677]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.08247489535275522, 'percentile_98': 26.69475599253677}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.08247489535275522, 'max': 26.69475599253677, 'mean': 4.649424679209406, 'count': 36.0, 'sum': 167.3792884515386, 'std': 4.977627965821467, 'median': 2.70443272507347, 'majority': 0.08247489535275522, 'minority': 0.08247489535275522, 'unique': 36.0, 'histogram': [[18.0, 7.0, 6.0, 2.0, 1.0, 1.0, 0.0, 0.0, 0.0, 1.0], [0.08247489535275522, 2.743703005071157, 5.404931114789558, 8.06615922450796, 10.72738733422636, 13.388615443944762, 16.049843553663166, 18.711071663381567, 21.372299773099968, 24.03352788281837, 26.69475599253677]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.08247489535275522, 'percentile_98': 26.69475599253677}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.08247489535275522, 'max': 26.69475599253677, 'mean': 4.649424679209406, 'count': 36.0, 'sum': 167.3792884515386, 'std': 4.977627965821467, 'median': 2.70443272507347, 'majority': 0.08247489535275522, 'minority': 0.08247489535275522, 'unique': 36.0, 'histogram': [[18.0, 7.0, 6.0, 2.0, 1.0, 1.0, 0.0, 0.0, 0.0, 1.0], [0.08247489535275522, 2.743703005071157, 5.404931114789558, 8.06615922450796, 10.72738733422636, 13.388615443944762, 16.049843553663166, 18.711071663381567, 21.372299773099968, 24.03352788281837, 26.69475599253677]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.08247489535275522, 'percentile_98': 26.69475599253677}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.08247489535275522, 'max': 26.69475599253677, 'mean': 4.649424679209406, 'count': 36.0, 'sum': 167.3792884515386, 'std': 4.977627965821467, 'median': 2.7044327250734708, 'majority': 0.08247489535275522, 'minority': 0.08247489535275522, 'unique': 36.0, 'histogram': [[18.0, 7.0, 6.0, 2.0, 1.0, 1.0, 0.0, 0.0, 0.0, 1.0], [0.08247489535275522, 2.743703005071157, 5.404931114789558, 8.06615922450796, 10.72738733422636, 13.388615443944762, 16.049843553663166, 18.711071663381567, 21.372299773099968, 24.03352788281837, 26.69475599253677]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.08247489535275522, 'percentile_98': 26.69475599253677}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.08247489535275522, 'max': 26.69475599253677, 'mean': 4.649424679209406, 'count': 36.0, 'sum': 167.3792884515386, 'std': 4.977627965821467, 'median': 2.70443272507347, 'majority': 0.08247489535275522, 'minority': 0.08247489535275522, 'unique': 36.0, 'histogram': [[18.0, 7.0, 6.0, 2.0, 1.0, 1.0, 0.0, 0.0, 0.0, 1.0], [0.08247489535275522, 2.743703005071157, 5.404931114789558, 8.06615922450796, 10.72738733422636, 13.388615443944762, 16.049843553663166, 18.711071663381567, 21.372299773099968, 24.03352788281837, 26.69475599253677]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.08247489535275522, 'percentile_98': 26.69475599253677}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.08247489535275522, 'max': 26.69475599253677, 'mean': 4.649424679209406, 'count': 36.0, 'sum': 167.3792884515386, 'std': 4.977627965821467, 'median': 2.7044327250734708, 'majority': 0.08247489535275522, 'minority': 0.08247489535275522, 'unique': 36.0, 'histogram': [[18.0, 7.0, 6.0, 2.0, 1.0, 1.0, 0.0, 0.0, 0.0, 1.0], [0.08247489535275522, 2.743703005071157, 5.404931114789558, 8.06615922450796, 10.72738733422636, 13.388615443944762, 16.049843553663166, 18.711071663381567, 21.372299773099968, 24.03352788281837, 26.69475599253677]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.08247489535275522, 'percentile_98': 26.69475599253677}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.08247489535275522, 'max': 26.69475599253677, 'mean': 4.649424679209406, 'count': 36.0, 'sum': 167.3792884515386, 'std': 4.977627965821467, 'median': 2.70443272507347, 'majority': 0.08247489535275522, 'minority': 0.08247489535275522, 'unique': 36.0, 'histogram': [[18.0, 7.0, 6.0, 2.0, 1.0, 1.0, 0.0, 0.0, 0.0, 1.0], [0.08247489535275522, 2.743703005071157, 5.404931114789558, 8.06615922450796, 10.72738733422636, 13.388615443944762, 16.049843553663166, 18.711071663381567, 21.372299773099968, 24.03352788281837, 26.69475599253677]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.08247489535275522, 'percentile_98': 26.69475599253677}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.08247489535275522, 'max': 26.69475599253677, 'mean': 4.649424679209406, 'count': 36.0, 'sum': 167.3792884515386, 'std': 4.977627965821467, 'median': 2.7044327250734708, 'majority': 0.08247489535275522, 'minority': 0.08247489535275522, 'unique': 36.0, 'histogram': [[18.0, 7.0, 6.0, 2.0, 1.0, 1.0, 0.0, 0.0, 0.0, 1.0], [0.08247489535275522, 2.743703005071157, 5.404931114789558, 8.06615922450796, 10.72738733422636, 13.388615443944762, 16.049843553663166, 18.711071663381567, 21.372299773099968, 24.03352788281837, 26.69475599253677]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.08247489535275522, 'percentile_98': 26.69475599253677}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.08247489535275522, 'max': 26.69475599253677, 'mean': 4.649424679209406, 'count': 36.0, 'sum': 167.3792884515386, 'std': 4.977627965821467, 'median': 2.70443272507347, 'majority': 0.08247489535275522, 'minority': 0.08247489535275522, 'unique': 36.0, 'histogram': [[18.0, 7.0, 6.0, 2.0, 1.0, 1.0, 0.0, 0.0, 0.0, 1.0], [0.08247489535275522, 2.743703005071157, 5.404931114789558, 8.06615922450796, 10.72738733422636, 13.388615443944762, 16.049843553663166, 18.711071663381567, 21.372299773099968, 24.03352788281837, 26.69475599253677]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.08247489535275522, 'percentile_98': 26.69475599253677}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.09920820509635007, 'max': 32.8268822894462, 'mean': 5.328482391280777, 'count': 36.0, 'sum': 191.82536608610798, 'std': 5.941790057089749, 'median': 3.1495232787842964, 'majority': 0.09920820509635007, 'minority': 0.09920820509635007, 'unique': 36.0, 'histogram': [[18.0, 7.0, 6.0, 3.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0], [0.09920820509635007, 3.371975613531335, 6.6447430219663195, 9.917510430401304, 13.19027783883629, 16.463045247271275, 19.73581265570626, 23.008580064141245, 26.28134747257623, 29.554114881011213, 32.8268822894462]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.09920820509635007, 'percentile_98': 32.8268822894462}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.09920820509635007, 'max': 32.82688228944621, 'mean': 5.328482391280777, 'count': 36.0, 'sum': 191.82536608610798, 'std': 5.94179005708975, 'median': 3.1495232787842964, 'majority': 0.09920820509635007, 'minority': 0.09920820509635007, 'unique': 36.0, 'histogram': [[18.0, 7.0, 6.0, 3.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0], [0.09920820509635007, 3.371975613531336, 6.644743021966321, 9.917510430401308, 13.190277838836293, 16.46304524727128, 19.735812655706265, 23.00858006414125, 26.281347472576236, 29.554114881011223, 32.82688228944621]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.09920820509635007, 'percentile_98': 32.82688228944621}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.09920820509635007, 'max': 32.8268822894462, 'mean': 5.328482391280777, 'count': 36.0, 'sum': 191.82536608610798, 'std': 5.941790057089749, 'median': 3.1495232787842964, 'majority': 0.09920820509635007, 'minority': 0.09920820509635007, 'unique': 36.0, 'histogram': [[18.0, 7.0, 6.0, 3.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0], [0.09920820509635007, 3.371975613531335, 6.6447430219663195, 9.917510430401304, 13.19027783883629, 16.463045247271275, 19.73581265570626, 23.008580064141245, 26.28134747257623, 29.554114881011213, 32.8268822894462]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.09920820509635007, 'percentile_98': 32.8268822894462}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.09920820509635007, 'max': 32.82688228944621, 'mean': 5.328482391280777, 'count': 36.0, 'sum': 191.82536608610798, 'std': 5.94179005708975, 'median': 3.1495232787842964, 'majority': 0.09920820509635007, 'minority': 0.09920820509635007, 'unique': 36.0, 'histogram': [[18.0, 7.0, 6.0, 3.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0], [0.09920820509635007, 3.371975613531336, 6.644743021966321, 9.917510430401308, 13.190277838836293, 16.46304524727128, 19.735812655706265, 23.00858006414125, 26.281347472576236, 29.554114881011223, 32.82688228944621]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.09920820509635007, 'percentile_98': 32.82688228944621}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.09920820509635007, 'max': 32.8268822894462, 'mean': 5.328482391280777, 'count': 36.0, 'sum': 191.82536608610798, 'std': 5.941790057089749, 'median': 3.1495232787842964, 'majority': 0.09920820509635007, 'minority': 0.09920820509635007, 'unique': 36.0, 'histogram': [[18.0, 7.0, 6.0, 3.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0], [0.09920820509635007, 3.371975613531335, 6.6447430219663195, 9.917510430401304, 13.19027783883629, 16.463045247271275, 19.73581265570626, 23.008580064141245, 26.28134747257623, 29.554114881011213, 32.8268822894462]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.09920820509635007, 'percentile_98': 32.8268822894462}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.09920820509635007, 'max': 32.8268822894462, 'mean': 5.328482391280777, 'count': 36.0, 'sum': 191.82536608610798, 'std': 5.941790057089749, 'median': 3.1495232787842964, 'majority': 0.09920820509635007, 'minority': 0.09920820509635007, 'unique': 36.0, 'histogram': [[18.0, 7.0, 6.0, 3.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0], [0.09920820509635007, 3.371975613531335, 6.6447430219663195, 9.917510430401304, 13.19027783883629, 16.463045247271275, 19.73581265570626, 23.008580064141245, 26.28134747257623, 29.554114881011213, 32.8268822894462]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.09920820509635007, 'percentile_98': 32.8268822894462}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.09920820509635007, 'max': 32.82688228944621, 'mean': 5.328482391280777, 'count': 36.0, 'sum': 191.82536608610798, 'std': 5.94179005708975, 'median': 3.1495232787842964, 'majority': 0.09920820509635007, 'minority': 0.09920820509635007, 'unique': 36.0, 'histogram': [[18.0, 7.0, 6.0, 3.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0], [0.09920820509635007, 3.371975613531336, 6.644743021966321, 9.917510430401308, 13.190277838836293, 16.46304524727128, 19.735812655706265, 23.00858006414125, 26.281347472576236, 29.554114881011223, 32.82688228944621]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.09920820509635007, 'percentile_98': 32.82688228944621}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.09920820509635007, 'max': 32.8268822894462, 'mean': 5.328482391280777, 'count': 36.0, 'sum': 191.82536608610798, 'std': 5.941790057089749, 'median': 3.1495232787842964, 'majority': 0.09920820509635007, 'minority': 0.09920820509635007, 'unique': 36.0, 'histogram': [[18.0, 7.0, 6.0, 3.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0], [0.09920820509635007, 3.371975613531335, 6.6447430219663195, 9.917510430401304, 13.19027783883629, 16.463045247271275, 19.73581265570626, 23.008580064141245, 26.28134747257623, 29.554114881011213, 32.8268822894462]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.09920820509635007, 'percentile_98': 32.8268822894462}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.09920820509635007, 'max': 32.82688228944621, 'mean': 5.328482391280777, 'count': 36.0, 'sum': 191.82536608610798, 'std': 5.94179005708975, 'median': 3.1495232787842964, 'majority': 0.09920820509635007, 'minority': 0.09920820509635007, 'unique': 36.0, 'histogram': [[18.0, 7.0, 6.0, 3.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0], [0.09920820509635007, 3.371975613531336, 6.644743021966321, 9.917510430401308, 13.190277838836293, 16.46304524727128, 19.735812655706265, 23.00858006414125, 26.281347472576236, 29.554114881011223, 32.82688228944621]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.09920820509635007, 'percentile_98': 32.82688228944621}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.09920820509635007, 'max': 32.8268822894462, 'mean': 5.328482391280777, 'count': 36.0, 'sum': 191.82536608610798, 'std': 5.941790057089749, 'median': 3.1495232787842964, 'majority': 0.09920820509635007, 'minority': 0.09920820509635007, 'unique': 36.0, 'histogram': [[18.0, 7.0, 6.0, 3.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0], [0.09920820509635007, 3.371975613531335, 6.6447430219663195, 9.917510430401304, 13.19027783883629, 16.463045247271275, 19.73581265570626, 23.008580064141245, 26.28134747257623, 29.554114881011213, 32.8268822894462]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.09920820509635007, 'percentile_98': 32.8268822894462}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.09920820509635005, 'max': 32.82688228944621, 'mean': 5.328482391280777, 'count': 36.0, 'sum': 191.82536608610798, 'std': 5.94179005708975, 'median': 3.1495232787842964, 'majority': 0.09920820509635005, 'minority': 0.09920820509635005, 'unique': 36.0, 'histogram': [[18.0, 7.0, 6.0, 3.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0], [0.09920820509635005, 3.371975613531336, 6.644743021966321, 9.917510430401308, 13.190277838836293, 16.46304524727128, 19.735812655706265, 23.00858006414125, 26.281347472576236, 29.554114881011223, 32.82688228944621]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.09920820509635005, 'percentile_98': 32.82688228944621}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.09920820509635007, 'max': 32.8268822894462, 'mean': 5.328482391280777, 'count': 36.0, 'sum': 191.82536608610798, 'std': 5.941790057089749, 'median': 3.1495232787842964, 'majority': 0.09920820509635007, 'minority': 0.09920820509635007, 'unique': 36.0, 'histogram': [[18.0, 7.0, 6.0, 3.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0], [0.09920820509635007, 3.371975613531335, 6.6447430219663195, 9.917510430401304, 13.19027783883629, 16.463045247271275, 19.73581265570626, 23.008580064141245, 26.28134747257623, 29.554114881011213, 32.8268822894462]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.09920820509635007, 'percentile_98': 32.8268822894462}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.07999033785669486, 'max': 26.550680129922398, 'mean': 4.283964391325785, 'count': 36.0, 'sum': 154.22271808772828, 'std': 4.804101963580192, 'median': 2.489670678448358, 'majority': 0.07999033785669486, 'minority': 0.07999033785669486, 'unique': 36.0, 'histogram': [[18.0, 7.0, 6.0, 3.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0], [0.07999033785669486, 2.727059317063265, 5.374128296269835, 8.021197275476405, 10.668266254682974, 13.315335233889543, 15.962404213096114, 18.609473192302687, 21.256542171509256, 23.903611150715825, 26.550680129922398]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.07999033785669486, 'percentile_98': 26.550680129922398}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.07999033785669486, 'max': 26.550680129922398, 'mean': 4.283964391325785, 'count': 36.0, 'sum': 154.22271808772828, 'std': 4.804101963580192, 'median': 2.489670678448358, 'majority': 0.07999033785669486, 'minority': 0.07999033785669486, 'unique': 36.0, 'histogram': [[18.0, 7.0, 6.0, 3.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0], [0.07999033785669486, 2.727059317063265, 5.374128296269835, 8.021197275476405, 10.668266254682974, 13.315335233889543, 15.962404213096114, 18.609473192302687, 21.256542171509256, 23.903611150715825, 26.550680129922398]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.07999033785669486, 'percentile_98': 26.550680129922398}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.07999033785669486, 'max': 26.550680129922398, 'mean': 4.283964391325785, 'count': 36.0, 'sum': 154.22271808772828, 'std': 4.804101963580192, 'median': 2.489670678448358, 'majority': 0.07999033785669486, 'minority': 0.07999033785669486, 'unique': 36.0, 'histogram': [[18.0, 7.0, 6.0, 3.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0], [0.07999033785669486, 2.727059317063265, 5.374128296269835, 8.021197275476405, 10.668266254682974, 13.315335233889543, 15.962404213096114, 18.609473192302687, 21.256542171509256, 23.903611150715825, 26.550680129922398]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.07999033785669486, 'percentile_98': 26.550680129922398}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.07999033785669486, 'max': 26.550680129922398, 'mean': 4.283964391325785, 'count': 36.0, 'sum': 154.22271808772828, 'std': 4.804101963580192, 'median': 2.489670678448358, 'majority': 0.07999033785669486, 'minority': 0.07999033785669486, 'unique': 36.0, 'histogram': [[18.0, 7.0, 6.0, 3.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0], [0.07999033785669486, 2.727059317063265, 5.374128296269835, 8.021197275476405, 10.668266254682974, 13.315335233889543, 15.962404213096114, 18.609473192302687, 21.256542171509256, 23.903611150715825, 26.550680129922398]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.07999033785669486, 'percentile_98': 26.550680129922398}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.07999033785669486, 'max': 26.550680129922398, 'mean': 4.283964391325785, 'count': 36.0, 'sum': 154.22271808772828, 'std': 4.804101963580192, 'median': 2.489670678448358, 'majority': 0.07999033785669486, 'minority': 0.07999033785669486, 'unique': 36.0, 'histogram': [[18.0, 7.0, 6.0, 3.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0], [0.07999033785669486, 2.727059317063265, 5.374128296269835, 8.021197275476405, 10.668266254682974, 13.315335233889543, 15.962404213096114, 18.609473192302687, 21.256542171509256, 23.903611150715825, 26.550680129922398]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.07999033785669486, 'percentile_98': 26.550680129922398}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.07999033785669486, 'max': 26.550680129922398, 'mean': 4.283964391325785, 'count': 36.0, 'sum': 154.22271808772828, 'std': 4.804101963580192, 'median': 2.489670678448358, 'majority': 0.07999033785669486, 'minority': 0.07999033785669486, 'unique': 36.0, 'histogram': [[18.0, 7.0, 6.0, 3.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0], [0.07999033785669486, 2.727059317063265, 5.374128296269835, 8.021197275476405, 10.668266254682974, 13.315335233889543, 15.962404213096114, 18.609473192302687, 21.256542171509256, 23.903611150715825, 26.550680129922398]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.07999033785669486, 'percentile_98': 26.550680129922398}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.07999033785669486, 'max': 26.550680129922398, 'mean': 4.283964391325785, 'count': 36.0, 'sum': 154.22271808772828, 'std': 4.804101963580192, 'median': 2.489670678448358, 'majority': 0.07999033785669486, 'minority': 0.07999033785669486, 'unique': 36.0, 'histogram': [[18.0, 7.0, 6.0, 3.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0], [0.07999033785669486, 2.727059317063265, 5.374128296269835, 8.021197275476405, 10.668266254682974, 13.315335233889543, 15.962404213096114, 18.609473192302687, 21.256542171509256, 23.903611150715825, 26.550680129922398]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.07999033785669486, 'percentile_98': 26.550680129922398}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.07999033785669486, 'max': 26.550680129922398, 'mean': 4.283964391325785, 'count': 36.0, 'sum': 154.22271808772828, 'std': 4.804101963580192, 'median': 2.489670678448358, 'majority': 0.07999033785669486, 'minority': 0.07999033785669486, 'unique': 36.0, 'histogram': [[18.0, 7.0, 6.0, 3.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0], [0.07999033785669486, 2.727059317063265, 5.374128296269835, 8.021197275476405, 10.668266254682974, 13.315335233889543, 15.962404213096114, 18.609473192302687, 21.256542171509256, 23.903611150715825, 26.550680129922398]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.07999033785669486, 'percentile_98': 26.550680129922398}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.07999033785669486, 'max': 26.550680129922398, 'mean': 4.283964391325785, 'count': 36.0, 'sum': 154.22271808772828, 'std': 4.804101963580192, 'median': 2.489670678448358, 'majority': 0.07999033785669486, 'minority': 0.07999033785669486, 'unique': 36.0, 'histogram': [[18.0, 7.0, 6.0, 3.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0], [0.07999033785669486, 2.727059317063265, 5.374128296269835, 8.021197275476405, 10.668266254682974, 13.315335233889543, 15.962404213096114, 18.609473192302687, 21.256542171509256, 23.903611150715825, 26.550680129922398]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.07999033785669486, 'percentile_98': 26.550680129922398}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.07999033785669486, 'max': 26.550680129922398, 'mean': 4.283964391325785, 'count': 36.0, 'sum': 154.22271808772828, 'std': 4.804101963580192, 'median': 2.489670678448358, 'majority': 0.07999033785669486, 'minority': 0.07999033785669486, 'unique': 36.0, 'histogram': [[18.0, 7.0, 6.0, 3.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0], [0.07999033785669486, 2.727059317063265, 5.374128296269835, 8.021197275476405, 10.668266254682974, 13.315335233889543, 15.962404213096114, 18.609473192302687, 21.256542171509256, 23.903611150715825, 26.550680129922398]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.07999033785669486, 'percentile_98': 26.550680129922398}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.07999033785669486, 'max': 26.550680129922398, 'mean': 4.283964391325785, 'count': 36.0, 'sum': 154.22271808772828, 'std': 4.804101963580192, 'median': 2.489670678448358, 'majority': 0.07999033785669486, 'minority': 0.07999033785669486, 'unique': 36.0, 'histogram': [[18.0, 7.0, 6.0, 3.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0], [0.07999033785669486, 2.727059317063265, 5.374128296269835, 8.021197275476405, 10.668266254682974, 13.315335233889543, 15.962404213096114, 18.609473192302687, 21.256542171509256, 23.903611150715825, 26.550680129922398]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.07999033785669486, 'percentile_98': 26.550680129922398}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.07999033785669486, 'max': 26.550680129922398, 'mean': 4.283964391325785, 'count': 36.0, 'sum': 154.22271808772828, 'std': 4.804101963580192, 'median': 2.489670678448358, 'majority': 0.07999033785669486, 'minority': 0.07999033785669486, 'unique': 36.0, 'histogram': [[18.0, 7.0, 6.0, 3.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0], [0.07999033785669486, 2.727059317063265, 5.374128296269835, 8.021197275476405, 10.668266254682974, 13.315335233889543, 15.962404213096114, 18.609473192302687, 21.256542171509256, 23.903611150715825, 26.550680129922398]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.07999033785669486, 'percentile_98': 26.550680129922398}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.07017231779069502, 'max': 22.89293973085294, 'mean': 3.8566844447476427, 'count': 36.0, 'sum': 138.84064001091514, 'std': 4.20470554034032, 'median': 2.2770158211093747, 'majority': 0.07017231779069502, 'minority': 0.07017231779069502, 'unique': 36.0, 'histogram': [[18.0, 7.0, 6.0, 2.0, 1.0, 1.0, 0.0, 0.0, 0.0, 1.0], [0.07017231779069502, 2.3524490590969194, 4.634725800403144, 6.917002541709368, 9.199279283015592, 11.481556024321817, 13.76383276562804, 16.046109506934265, 18.32838624824049, 20.610662989546714, 22.89293973085294]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.07017231779069502, 'percentile_98': 22.89293973085294}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.07017231779069502, 'max': 22.89293973085294, 'mean': 3.8566844447476427, 'count': 36.0, 'sum': 138.84064001091514, 'std': 4.20470554034032, 'median': 2.2770158211093747, 'majority': 0.07017231779069502, 'minority': 0.07017231779069502, 'unique': 36.0, 'histogram': [[18.0, 7.0, 6.0, 2.0, 1.0, 1.0, 0.0, 0.0, 0.0, 1.0], [0.07017231779069502, 2.3524490590969194, 4.634725800403144, 6.917002541709368, 9.199279283015592, 11.481556024321817, 13.76383276562804, 16.046109506934265, 18.32838624824049, 20.610662989546714, 22.89293973085294]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.07017231779069502, 'percentile_98': 22.89293973085294}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.07017231779069502, 'max': 22.89293973085294, 'mean': 3.8566844447476427, 'count': 36.0, 'sum': 138.84064001091514, 'std': 4.20470554034032, 'median': 2.2770158211093747, 'majority': 0.07017231779069502, 'minority': 0.07017231779069502, 'unique': 36.0, 'histogram': [[18.0, 7.0, 6.0, 2.0, 1.0, 1.0, 0.0, 0.0, 0.0, 1.0], [0.07017231779069502, 2.3524490590969194, 4.634725800403144, 6.917002541709368, 9.199279283015592, 11.481556024321817, 13.76383276562804, 16.046109506934265, 18.32838624824049, 20.610662989546714, 22.89293973085294]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.07017231779069502, 'percentile_98': 22.89293973085294}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.07017231779069502, 'max': 22.89293973085294, 'mean': 3.8566844447476427, 'count': 36.0, 'sum': 138.84064001091514, 'std': 4.20470554034032, 'median': 2.2770158211093747, 'majority': 0.07017231779069502, 'minority': 0.07017231779069502, 'unique': 36.0, 'histogram': [[18.0, 7.0, 6.0, 2.0, 1.0, 1.0, 0.0, 0.0, 0.0, 1.0], [0.07017231779069502, 2.3524490590969194, 4.634725800403144, 6.917002541709368, 9.199279283015592, 11.481556024321817, 13.76383276562804, 16.046109506934265, 18.32838624824049, 20.610662989546714, 22.89293973085294]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.07017231779069502, 'percentile_98': 22.89293973085294}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.07017231779069502, 'max': 22.89293973085294, 'mean': 3.8566844447476427, 'count': 36.0, 'sum': 138.84064001091514, 'std': 4.20470554034032, 'median': 2.2770158211093747, 'majority': 0.07017231779069502, 'minority': 0.07017231779069502, 'unique': 36.0, 'histogram': [[18.0, 7.0, 6.0, 2.0, 1.0, 1.0, 0.0, 0.0, 0.0, 1.0], [0.07017231779069502, 2.3524490590969194, 4.634725800403144, 6.917002541709368, 9.199279283015592, 11.481556024321817, 13.76383276562804, 16.046109506934265, 18.32838624824049, 20.610662989546714, 22.89293973085294]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.07017231779069502, 'percentile_98': 22.89293973085294}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.07017231779069502, 'max': 22.89293973085294, 'mean': 3.8566844447476427, 'count': 36.0, 'sum': 138.84064001091514, 'std': 4.20470554034032, 'median': 2.2770158211093747, 'majority': 0.07017231779069502, 'minority': 0.07017231779069502, 'unique': 36.0, 'histogram': [[18.0, 7.0, 6.0, 2.0, 1.0, 1.0, 0.0, 0.0, 0.0, 1.0], [0.07017231779069502, 2.3524490590969194, 4.634725800403144, 6.917002541709368, 9.199279283015592, 11.481556024321817, 13.76383276562804, 16.046109506934265, 18.32838624824049, 20.610662989546714, 22.89293973085294]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.07017231779069502, 'percentile_98': 22.89293973085294}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.07017231779069502, 'max': 22.89293973085294, 'mean': 3.8566844447476427, 'count': 36.0, 'sum': 138.84064001091514, 'std': 4.20470554034032, 'median': 2.2770158211093747, 'majority': 0.07017231779069502, 'minority': 0.07017231779069502, 'unique': 36.0, 'histogram': [[18.0, 7.0, 6.0, 2.0, 1.0, 1.0, 0.0, 0.0, 0.0, 1.0], [0.07017231779069502, 2.3524490590969194, 4.634725800403144, 6.917002541709368, 9.199279283015592, 11.481556024321817, 13.76383276562804, 16.046109506934265, 18.32838624824049, 20.610662989546714, 22.89293973085294]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.07017231779069502, 'percentile_98': 22.89293973085294}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.07017231779069502, 'max': 22.89293973085294, 'mean': 3.8566844447476427, 'count': 36.0, 'sum': 138.84064001091514, 'std': 4.20470554034032, 'median': 2.2770158211093747, 'majority': 0.07017231779069502, 'minority': 0.07017231779069502, 'unique': 36.0, 'histogram': [[18.0, 7.0, 6.0, 2.0, 1.0, 1.0, 0.0, 0.0, 0.0, 1.0], [0.07017231779069502, 2.3524490590969194, 4.634725800403144, 6.917002541709368, 9.199279283015592, 11.481556024321817, 13.76383276562804, 16.046109506934265, 18.32838624824049, 20.610662989546714, 22.89293973085294]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.07017231779069502, 'percentile_98': 22.89293973085294}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.07017231779069502, 'max': 22.89293973085294, 'mean': 3.8566844447476427, 'count': 36.0, 'sum': 138.84064001091514, 'std': 4.20470554034032, 'median': 2.2770158211093747, 'majority': 0.07017231779069502, 'minority': 0.07017231779069502, 'unique': 36.0, 'histogram': [[18.0, 7.0, 6.0, 2.0, 1.0, 1.0, 0.0, 0.0, 0.0, 1.0], [0.07017231779069502, 2.3524490590969194, 4.634725800403144, 6.917002541709368, 9.199279283015592, 11.481556024321817, 13.76383276562804, 16.046109506934265, 18.32838624824049, 20.610662989546714, 22.89293973085294]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.07017231779069502, 'percentile_98': 22.89293973085294}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.07017231779069502, 'max': 22.89293973085294, 'mean': 3.8566844447476427, 'count': 36.0, 'sum': 138.84064001091514, 'std': 4.20470554034032, 'median': 2.2770158211093747, 'majority': 0.07017231779069502, 'minority': 0.07017231779069502, 'unique': 36.0, 'histogram': [[18.0, 7.0, 6.0, 2.0, 1.0, 1.0, 0.0, 0.0, 0.0, 1.0], [0.07017231779069502, 2.3524490590969194, 4.634725800403144, 6.917002541709368, 9.199279283015592, 11.481556024321817, 13.76383276562804, 16.046109506934265, 18.32838624824049, 20.610662989546714, 22.89293973085294]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.07017231779069502, 'percentile_98': 22.89293973085294}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.07017231779069502, 'max': 22.892939730852937, 'mean': 3.8566844447476427, 'count': 36.0, 'sum': 138.84064001091514, 'std': 4.204705540340319, 'median': 2.2770158211093747, 'majority': 0.07017231779069502, 'minority': 0.07017231779069502, 'unique': 36.0, 'histogram': [[18.0, 7.0, 6.0, 2.0, 1.0, 1.0, 0.0, 0.0, 0.0, 1.0], [0.07017231779069502, 2.352449059096919, 4.634725800403143, 6.917002541709367, 9.19927928301559, 11.481556024321813, 13.763832765628038, 16.046109506934265, 18.328386248240488, 20.61066298954671, 22.892939730852937]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.07017231779069502, 'percentile_98': 22.892939730852937}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.07017231779069502, 'max': 22.89293973085294, 'mean': 3.8566844447476427, 'count': 36.0, 'sum': 138.84064001091514, 'std': 4.20470554034032, 'median': 2.2770158211093747, 'majority': 0.07017231779069502, 'minority': 0.07017231779069502, 'unique': 36.0, 'histogram': [[18.0, 7.0, 6.0, 2.0, 1.0, 1.0, 0.0, 0.0, 0.0, 1.0], [0.07017231779069502, 2.3524490590969194, 4.634725800403144, 6.917002541709368, 9.199279283015592, 11.481556024321817, 13.76383276562804, 16.046109506934265, 18.32838624824049, 20.610662989546714, 22.89293973085294]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.07017231779069502, 'percentile_98': 22.89293973085294}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.0809581013139931, 'max': 24.822949625050086, 'mean': 4.3481885376528915, 'count': 36.0, 'sum': 156.5347873555041, 'std': 4.633345420525916, 'median': 2.5974040079993728, 'majority': 0.0809581013139931, 'minority': 0.0809581013139931, 'unique': 36.0, 'histogram': [[17.0, 8.0, 6.0, 2.0, 1.0, 1.0, 0.0, 0.0, 0.0, 1.0], [0.0809581013139931, 2.5551572536876024, 5.029356406061212, 7.5035555584348215, 9.97775471080843, 12.45195386318204, 14.926153015555649, 17.40035216792926, 19.874551320302867, 22.348750472676475, 24.822949625050086]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.0809581013139931, 'percentile_98': 24.822949625050086}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.0809581013139931, 'max': 24.822949625050086, 'mean': 4.348188537652892, 'count': 36.0, 'sum': 156.53478735550414, 'std': 4.633345420525916, 'median': 2.5974040079993723, 'majority': 0.0809581013139931, 'minority': 0.0809581013139931, 'unique': 36.0, 'histogram': [[17.0, 8.0, 6.0, 2.0, 1.0, 1.0, 0.0, 0.0, 0.0, 1.0], [0.0809581013139931, 2.5551572536876024, 5.029356406061212, 7.5035555584348215, 9.97775471080843, 12.45195386318204, 14.926153015555649, 17.40035216792926, 19.874551320302867, 22.348750472676475, 24.822949625050086]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.0809581013139931, 'percentile_98': 24.822949625050086}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.0809581013139931, 'max': 24.822949625050086, 'mean': 4.3481885376528915, 'count': 36.0, 'sum': 156.5347873555041, 'std': 4.633345420525916, 'median': 2.5974040079993728, 'majority': 0.0809581013139931, 'minority': 0.0809581013139931, 'unique': 36.0, 'histogram': [[17.0, 8.0, 6.0, 2.0, 1.0, 1.0, 0.0, 0.0, 0.0, 1.0], [0.0809581013139931, 2.5551572536876024, 5.029356406061212, 7.5035555584348215, 9.97775471080843, 12.45195386318204, 14.926153015555649, 17.40035216792926, 19.874551320302867, 22.348750472676475, 24.822949625050086]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.0809581013139931, 'percentile_98': 24.822949625050086}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.0809581013139931, 'max': 24.822949625050086, 'mean': 4.348188537652892, 'count': 36.0, 'sum': 156.53478735550414, 'std': 4.633345420525916, 'median': 2.5974040079993723, 'majority': 0.0809581013139931, 'minority': 0.0809581013139931, 'unique': 36.0, 'histogram': [[17.0, 8.0, 6.0, 2.0, 1.0, 1.0, 0.0, 0.0, 0.0, 1.0], [0.0809581013139931, 2.5551572536876024, 5.029356406061212, 7.5035555584348215, 9.97775471080843, 12.45195386318204, 14.926153015555649, 17.40035216792926, 19.874551320302867, 22.348750472676475, 24.822949625050086]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.0809581013139931, 'percentile_98': 24.822949625050086}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.0809581013139931, 'max': 24.822949625050086, 'mean': 4.3481885376528915, 'count': 36.0, 'sum': 156.5347873555041, 'std': 4.633345420525916, 'median': 2.5974040079993728, 'majority': 0.0809581013139931, 'minority': 0.0809581013139931, 'unique': 36.0, 'histogram': [[17.0, 8.0, 6.0, 2.0, 1.0, 1.0, 0.0, 0.0, 0.0, 1.0], [0.0809581013139931, 2.5551572536876024, 5.029356406061212, 7.5035555584348215, 9.97775471080843, 12.45195386318204, 14.926153015555649, 17.40035216792926, 19.874551320302867, 22.348750472676475, 24.822949625050086]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.0809581013139931, 'percentile_98': 24.822949625050086}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.0809581013139931, 'max': 24.822949625050086, 'mean': 4.3481885376528915, 'count': 36.0, 'sum': 156.5347873555041, 'std': 4.633345420525916, 'median': 2.5974040079993728, 'majority': 0.0809581013139931, 'minority': 0.0809581013139931, 'unique': 36.0, 'histogram': [[17.0, 8.0, 6.0, 2.0, 1.0, 1.0, 0.0, 0.0, 0.0, 1.0], [0.0809581013139931, 2.5551572536876024, 5.029356406061212, 7.5035555584348215, 9.97775471080843, 12.45195386318204, 14.926153015555649, 17.40035216792926, 19.874551320302867, 22.348750472676475, 24.822949625050086]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.0809581013139931, 'percentile_98': 24.822949625050086}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.0809581013139931, 'max': 24.822949625050086, 'mean': 4.348188537652892, 'count': 36.0, 'sum': 156.53478735550414, 'std': 4.633345420525916, 'median': 2.5974040079993723, 'majority': 0.0809581013139931, 'minority': 0.0809581013139931, 'unique': 36.0, 'histogram': [[17.0, 8.0, 6.0, 2.0, 1.0, 1.0, 0.0, 0.0, 0.0, 1.0], [0.0809581013139931, 2.5551572536876024, 5.029356406061212, 7.5035555584348215, 9.97775471080843, 12.45195386318204, 14.926153015555649, 17.40035216792926, 19.874551320302867, 22.348750472676475, 24.822949625050086]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.0809581013139931, 'percentile_98': 24.822949625050086}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.0809581013139931, 'max': 24.822949625050086, 'mean': 4.3481885376528915, 'count': 36.0, 'sum': 156.5347873555041, 'std': 4.633345420525916, 'median': 2.5974040079993728, 'majority': 0.0809581013139931, 'minority': 0.0809581013139931, 'unique': 36.0, 'histogram': [[17.0, 8.0, 6.0, 2.0, 1.0, 1.0, 0.0, 0.0, 0.0, 1.0], [0.0809581013139931, 2.5551572536876024, 5.029356406061212, 7.5035555584348215, 9.97775471080843, 12.45195386318204, 14.926153015555649, 17.40035216792926, 19.874551320302867, 22.348750472676475, 24.822949625050086]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.0809581013139931, 'percentile_98': 24.822949625050086}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.0809581013139931, 'max': 24.822949625050086, 'mean': 4.348188537652892, 'count': 36.0, 'sum': 156.53478735550414, 'std': 4.633345420525916, 'median': 2.5974040079993723, 'majority': 0.0809581013139931, 'minority': 0.0809581013139931, 'unique': 36.0, 'histogram': [[17.0, 8.0, 6.0, 2.0, 1.0, 1.0, 0.0, 0.0, 0.0, 1.0], [0.0809581013139931, 2.5551572536876024, 5.029356406061212, 7.5035555584348215, 9.97775471080843, 12.45195386318204, 14.926153015555649, 17.40035216792926, 19.874551320302867, 22.348750472676475, 24.822949625050086]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.0809581013139931, 'percentile_98': 24.822949625050086}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.0809581013139931, 'max': 24.822949625050086, 'mean': 4.3481885376528915, 'count': 36.0, 'sum': 156.5347873555041, 'std': 4.633345420525916, 'median': 2.5974040079993728, 'majority': 0.0809581013139931, 'minority': 0.0809581013139931, 'unique': 36.0, 'histogram': [[17.0, 8.0, 6.0, 2.0, 1.0, 1.0, 0.0, 0.0, 0.0, 1.0], [0.0809581013139931, 2.5551572536876024, 5.029356406061212, 7.5035555584348215, 9.97775471080843, 12.45195386318204, 14.926153015555649, 17.40035216792926, 19.874551320302867, 22.348750472676475, 24.822949625050086]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.0809581013139931, 'percentile_98': 24.822949625050086}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.08095810131399311, 'max': 24.822949625050086, 'mean': 4.348188537652892, 'count': 36.0, 'sum': 156.53478735550414, 'std': 4.633345420525916, 'median': 2.5974040079993723, 'majority': 0.08095810131399311, 'minority': 0.08095810131399311, 'unique': 36.0, 'histogram': [[17.0, 8.0, 6.0, 2.0, 1.0, 1.0, 0.0, 0.0, 0.0, 1.0], [0.08095810131399311, 2.5551572536876024, 5.029356406061212, 7.5035555584348215, 9.97775471080843, 12.45195386318204, 14.926153015555649, 17.40035216792926, 19.874551320302867, 22.348750472676475, 24.822949625050086]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.08095810131399311, 'percentile_98': 24.822949625050086}}}}\n", - "{'type': 'Feature', 'geometry': {'type': 'Polygon', 'coordinates': [[[-95.0, 29.0], [-95.0, 33.0], [-104.0, 33.0], [-104.0, 29.0], [-95.0, 29.0]]]}, 'properties': {'statistics': {'b1': {'min': 0.0809581013139931, 'max': 24.822949625050086, 'mean': 4.3481885376528915, 'count': 36.0, 'sum': 156.5347873555041, 'std': 4.633345420525916, 'median': 2.5974040079993728, 'majority': 0.0809581013139931, 'minority': 0.0809581013139931, 'unique': 36.0, 'histogram': [[17.0, 8.0, 6.0, 2.0, 1.0, 1.0, 0.0, 0.0, 0.0, 1.0], [0.0809581013139931, 2.5551572536876024, 5.029356406061212, 7.5035555584348215, 9.97775471080843, 12.45195386318204, 14.926153015555649, 17.40035216792926, 19.874551320302867, 22.348750472676475, 24.822949625050086]], 'valid_percent': 100.0, 'masked_pixels': 0.0, 'valid_pixels': 36.0, 'percentile_2': 0.0809581013139931, 'percentile_98': 24.822949625050086}}}}\n", - "CPU times: user 2.27 s, sys: 465 ms, total: 2.73 s\n", - "Wall time: 2min\n" - ] - } - ], - "source": [ - "%%time\n", - "# %%time = Wall time (execution time) for running the code below\n", - "\n", - "# Generate statistics using the created function \"generate_stats\" within the bounding box defined by the polygon\n", - "stats = [generate_stats(item, texas_aoi) for item in items]" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Create a function that goes through every single item in the collection and populates their properties - including the minimum, maximum, and sum of their values - in a table." - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{'statistics': {'b1': {'min': 0.0464402866499578,\n", - " 'max': 49.61378870603235,\n", - " 'mean': 9.039553150168388,\n", - " 'count': 36.0,\n", - " 'sum': 325.42391340606196,\n", - " 'std': 11.97160706711745,\n", - " 'median': 3.662876577293575,\n", - " 'majority': 0.0464402866499578,\n", - " 'minority': 0.0464402866499578,\n", - " 'unique': 36.0,\n", - " 'histogram': [[18.0, 9.0, 1.0, 2.0, 2.0, 2.0, 0.0, 0.0, 1.0, 1.0],\n", - " [0.0464402866499578,\n", - " 5.003175128588197,\n", - " 9.959909970526436,\n", - " 14.916644812464675,\n", - " 19.873379654402914,\n", - " 24.830114496341153,\n", - " 29.786849338279392,\n", - " 34.74358418021763,\n", - " 39.700319022155874,\n", - " 44.65705386409412,\n", - " 49.61378870603235]],\n", - " 'valid_percent': 100.0,\n", - " 'masked_pixels': 0.0,\n", - " 'valid_pixels': 36.0,\n", - " 'percentile_2': 0.0464402866499578,\n", - " 'percentile_98': 49.61378870603235}},\n", - " 'datetime': '2016-12-01'}" - ] - }, - "execution_count": 19, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# Print the stats for the first item in the collection\n", - "stats[0]" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
datetimeminmaxmeancountsumstdmedianmajorityminorityuniquehistogramvalid_percentmasked_pixelsvalid_pixelspercentile_2percentile_98date
02016-12-010.0464449.6137899.03955336.0325.42391311.9716073.6628770.046440.0464436.0[[18.0, 9.0, 1.0, 2.0, 2.0, 2.0, 0.0, 0.0, 1.0...100.00.036.00.0464449.6137892016-12-01
12016-11-010.0464449.6137899.03955336.0325.42391311.9716073.6628770.046440.0464436.0[[18.0, 9.0, 1.0, 2.0, 2.0, 2.0, 0.0, 0.0, 1.0...100.00.036.00.0464449.6137892016-11-01
22016-10-010.0464449.6137899.03955336.0325.42391311.9716073.6628770.046440.0464436.0[[18.0, 9.0, 1.0, 2.0, 2.0, 2.0, 0.0, 0.0, 1.0...100.00.036.00.0464449.6137892016-10-01
32016-09-010.0464449.6137899.03955336.0325.42391311.9716073.6628770.046440.0464436.0[[18.0, 9.0, 1.0, 2.0, 2.0, 2.0, 0.0, 0.0, 1.0...100.00.036.00.0464449.6137892016-09-01
42016-08-010.0464449.6137899.03955336.0325.42391311.9716073.6628770.046440.0464436.0[[18.0, 9.0, 1.0, 2.0, 2.0, 2.0, 0.0, 0.0, 1.0...100.00.036.00.0464449.6137892016-08-01
\n", - "
" - ], - "text/plain": [ - " datetime min max mean count sum std \\\n", - "0 2016-12-01 0.04644 49.613789 9.039553 36.0 325.423913 11.971607 \n", - "1 2016-11-01 0.04644 49.613789 9.039553 36.0 325.423913 11.971607 \n", - "2 2016-10-01 0.04644 49.613789 9.039553 36.0 325.423913 11.971607 \n", - "3 2016-09-01 0.04644 49.613789 9.039553 36.0 325.423913 11.971607 \n", - "4 2016-08-01 0.04644 49.613789 9.039553 36.0 325.423913 11.971607 \n", - "\n", - " median majority minority unique \\\n", - "0 3.662877 0.04644 0.04644 36.0 \n", - "1 3.662877 0.04644 0.04644 36.0 \n", - "2 3.662877 0.04644 0.04644 36.0 \n", - "3 3.662877 0.04644 0.04644 36.0 \n", - "4 3.662877 0.04644 0.04644 36.0 \n", - "\n", - " histogram valid_percent \\\n", - "0 [[18.0, 9.0, 1.0, 2.0, 2.0, 2.0, 0.0, 0.0, 1.0... 100.0 \n", - "1 [[18.0, 9.0, 1.0, 2.0, 2.0, 2.0, 0.0, 0.0, 1.0... 100.0 \n", - "2 [[18.0, 9.0, 1.0, 2.0, 2.0, 2.0, 0.0, 0.0, 1.0... 100.0 \n", - "3 [[18.0, 9.0, 1.0, 2.0, 2.0, 2.0, 0.0, 0.0, 1.0... 100.0 \n", - "4 [[18.0, 9.0, 1.0, 2.0, 2.0, 2.0, 0.0, 0.0, 1.0... 100.0 \n", - "\n", - " masked_pixels valid_pixels percentile_2 percentile_98 date \n", - "0 0.0 36.0 0.04644 49.613789 2016-12-01 \n", - "1 0.0 36.0 0.04644 49.613789 2016-11-01 \n", - "2 0.0 36.0 0.04644 49.613789 2016-10-01 \n", - "3 0.0 36.0 0.04644 49.613789 2016-09-01 \n", - "4 0.0 36.0 0.04644 49.613789 2016-08-01 " - ] - }, - "execution_count": 20, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# Create a function that converts statistics in JSON format into a pandas DataFrame\n", - "def clean_stats(stats_json) -> pd.DataFrame:\n", - "\n", - " # Normalize the JSON data\n", - " df = pd.json_normalize(stats_json)\n", - "\n", - " # Replace the naming \"statistics.b1\" in the columns\n", - " df.columns = [col.replace(\"statistics.b1.\", \"\") for col in df.columns]\n", - "\n", - " # Set the datetime format\n", - " df[\"date\"] = pd.to_datetime(df[\"datetime\"])\n", - "\n", - " # Return the cleaned format\n", - " return df\n", - "\n", - "# Apply the generated function on the stats data\n", - "df = clean_stats(stats)\n", - "\n", - "# Display the stats for the first 5 granules in the collection in the table\n", - "# Change the value in the parenthesis to show more or a smaller number of rows in the table\n", - "df.head(5)" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Visualizing the Data as a Time Series\n", - "We can now explore the fossil fuel emission time series (January 1999 -December 2016) available for the Dallas, Texas area of the U.S. We can plot the data set using the code below:" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Figure size: 20 representing the width, 10 representing the height\n", - "fig = plt.figure(figsize=(20, 10))\n", - "\n", - "plt.plot(\n", - " df[\"datetime\"], # X-axis: sorted datetime\n", - " df[\"max\"], # Y-axis: maximum CH4 flux\n", - " color=\"red\", # Line color\n", - " linestyle=\"-\", # Line style\n", - " linewidth=0.5, # Line width\n", - " label=\"CH4 emissions\", # Legend label\n", - ")\n", - "\n", - "# Display legend\n", - "plt.legend()\n", - "\n", - "# Insert label for the X-axis\n", - "plt.xlabel(\"Years\")\n", - "\n", - "# Insert label for the Y-axis\n", - "plt.ylabel(\"g CH₄/m²/year\")\n", - "plt.xticks(rotation = 90)\n", - "\n", - "# Insert title for the plot\n", - "plt.title(\"CH4 emission Values for Texas, Dallas (1999-2016)\")\n", - "\n", - "# Add data citation\n", - "plt.text(\n", - " df[\"datetime\"].iloc[0], # X-coordinate of the text\n", - " df[\"max\"].min(), # Y-coordinate of the text\n", - "\n", - "\n", - "\n", - "\n", - " # Text to be displayed\n", - " \"Source: NASA/NOAA TM5-4DVar Isotopic CH₄ Inverse Fluxes\", \n", - " fontsize=12, # Font size\n", - " horizontalalignment=\"left\", # Horizontal alignment\n", - " verticalalignment=\"top\", # Vertical alignment\n", - " color=\"blue\", # Text color\n", - ")\n", - "\n", - "\n", - "# Plot the time series\n", - "plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "2016-10-01T00:00:00+00:00\n" - ] - } - ], - "source": [ - "# Print the properties for the 3rd item in the collection\n", - "print(items[2][\"properties\"][\"start_datetime\"])" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{'tilejson': '2.2.0',\n", - " 'version': '1.0.0',\n", - " 'scheme': 'xyz',\n", - " 'tiles': ['https://earth.gov/ghgcenter/api/raster/collections/tm54dvar-ch4flux-monthgrid-v1/items/tm54dvar-ch4flux-monthgrid-v1-201610/tiles/WebMercatorQuad/{z}/{x}/{y}@1x?assets=fossil&color_formula=gamma+r+1.05&colormap_name=purd&rescale=0.0%2C202.8189294183266'],\n", - " 'minzoom': 0,\n", - " 'maxzoom': 24,\n", - " 'bounds': [-180.0, -90.0, 180.0, 90.0],\n", - " 'center': [0.0, 0.0, 0]}" - ] - }, - "execution_count": 23, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# A GET request is made for the 3rd granule\n", - "ch4_flux_3 = requests.get(\n", - "\n", - " # Pass the collection name, the item number in the list, and its ID\n", - " f\"{RASTER_API_URL}/collections/{items[2]['collection']}/items/{items[2]['id']}/tilejson.json?\"\n", - "\n", - " # Pass the asset name\n", - " f\"&assets={asset_name}\"\n", - "\n", - " # Pass the color formula and colormap for custom visualization\n", - " f\"&color_formula=gamma+r+1.05&colormap_name={color_map}\"\n", - "\n", - " # Pass the minimum and maximum values for rescaling\n", - " f\"&rescale={rescale_values['min']},{rescale_values['max']}\",\n", - "\n", - "# Return the response in JSON format\n", - ").json()\n", - "\n", - "# Print the properties of the retrieved granule to the console\n", - "ch4_flux_3" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
Make this Notebook Trusted to load map: File -> Trust Notebook
" - ], - "text/plain": [ - "" - ] - }, - "execution_count": 24, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# Create a new map to display the tile\n", - "aoi_map_bbox = Map(\n", - "\n", - " # Base map is set to OpenStreetMap\n", - " tiles=\"OpenStreetMap\",\n", - "\n", - " # Set the center of the map\n", - " location=[\n", - " 30,-100\n", - " ],\n", - "\n", - " # Set the zoom value\n", - " zoom_start=6.8,\n", - ")\n", - "\n", - "# Define the map layer\n", - "map_layer = TileLayer(\n", - "\n", - " # Path to retrieve the tile\n", - " tiles=ch4_flux_3[\"tiles\"][0],\n", - "\n", - " # Set the attribution and adjust the transparency of the layer\n", - " attr=\"GHG\", opacity = 0.7\n", - ")\n", - "\n", - "# Add the layer to the map\n", - "map_layer.add_to(aoi_map_bbox)\n", - "\n", - "# Visualize the map\n", - "aoi_map_bbox" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Summary\n", - "\n", - "In this notebook we have successfully explored, analyzed, and visualized the STAC collection for TM5-4DVar Isotopic CH₄ Inverse Fluxes dataset.\n", - "\n", - "1. Install and import the necessary libraries\n", - "2. Fetch the collection from STAC collections using the appropriate endpoints\n", - "3. Count the number of existing granules within the collection\n", - "4. Map and compare the CH₄ inverse fluxes for two distinctive months/years\n", - "5. Generate zonal statistics for the area of interest (AOI)\n", - "6. Visualizing the Data as a Time Series\n", - "\n", - "\n", - "If you have any questions regarding this user notebook, please contact us using the [feedback form](https://docs.google.com/forms/d/e/1FAIpQLSeVWCrnca08Gt_qoWYjTo6gnj1BEGL4NCUC9VEiQnXA02gzVQ/viewform)." - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.9.18" - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/workflow.qmd b/workflow.qmd index 0e933c7a..f0454c09 100644 --- a/workflow.qmd +++ b/workflow.qmd @@ -18,8 +18,6 @@ Explore, analyze, and make a difference with the US GHG Center. 4. [U.S. Gridded Anthropogenic Methane Emissions Inventory Data Flow Diagram](data_workflow/epa-ch4emission-grid-v2express_Data_Flow.qmd) 5. [Vulcan Fossil Fuel CO₂ Emissions Data Flow Diagram](data_workflow/vulcan-ffco2-yeargrid-v4_Data_Flow.qmd) 6. [GRA²PES Greenhouse Gas and Air Quality Species Data Flow Diagram](data_workflow/gra2pes-ghg-monthgrid-v1_Data_Flow.qmd) -7. [TM5-4DVar Isotopic CH₄ Inverse Fluxes Data Flow Diagram](data_workflow/tm54dvar-ch4flux-monthgrid-v1_Data_Flow.qmd) - ## Natural Greenhouse Gas Sources Emissions and Sinks 1. [Air-Sea CO₂ Flux, ECCO-Darwin Model v5 Data Flow Diagram](data_workflow/eccodarwin-co2flux-monthgrid-v5_Data_Flow.qmd)