Cif 315 improve consistency and standardization of cif code for layers

README.md

@@ -43,7 +43,7 @@ To run the module,
 
   1. You need access to Google Earth Engine
   2. Install <https://cloud.google.com/sdk/docs/install>
-  3. If you want to use the ERA5 layer, you need to install the [Climate Data Store (CDS) Application Program Interface (API)](https://cds.climate.copernicus.eu/api-how-to)
+  3. If you want to use the ERA5 layer, you need to install the [Climate Data Store (CDS) Application Program Interface (API)](https://cds.climate.copernicus.eu/how-to-api)
 
 ### Interactive development
 

city_metrix/layers/albedo.py

@@ -1,6 +1,9 @@
 import ee
+import xarray
+from dask.diagnostics import ProgressBar
+
+from .layer import Layer, get_utm_zone_epsg, get_image_collection
 
-from .layer import Layer, get_image_collection
 
 class Albedo(Layer):
     """

city_metrix/layers/alos_dsm.py

@@ -1,4 +1,7 @@
 import ee
+import xee
+import xarray as xr
+
 
 from .layer import Layer, get_image_collection
 

city_metrix/layers/average_net_building_height.py

@@ -1,6 +1,9 @@
+from dask.diagnostics import ProgressBar
+import xarray as xr
+import xee
 import ee
 
-from .layer import Layer, get_image_collection
+from .layer import Layer, get_utm_zone_epsg, get_image_collection
 
 
 class AverageNetBuildingHeight(Layer):

city_metrix/layers/built_up_height.py

@@ -1,6 +1,9 @@
+from dask.diagnostics import ProgressBar
+import xarray as xr
+import xee
 import ee
 
-from .layer import Layer, get_image_collection
+from .layer import Layer, get_utm_zone_epsg, get_image_collection
 
 
 class BuiltUpHeight(Layer):

city_metrix/layers/esa_world_cover.py

@@ -1,7 +1,9 @@
+from dask.diagnostics import ProgressBar
+from enum import Enum
+import xarray as xr
 import ee
 
-from enum import Enum
-from .layer import Layer, get_image_collection
+from .layer import Layer, get_utm_zone_epsg, get_image_collection
 
 
 class EsaWorldCoverClass(Enum):

city_metrix/layers/glad_lulc.py

@@ -1,7 +1,7 @@
 import xarray as xr
 import ee
 
-from .layer import Layer, get_image_collection
+from .layer import Layer, get_utm_zone_epsg, get_image_collection
 
 
 class LandCoverGlad(Layer):

city_metrix/layers/high_land_surface_temperature.py

@@ -1,9 +1,9 @@
-import datetime
-import ee
-
-from shapely.geometry import box
+from .landsat_collection_2 import LandsatCollection2
 from .land_surface_temperature import LandSurfaceTemperature
 from .layer import Layer
+from shapely.geometry import box
+import datetime
+import ee
 
 class HighLandSurfaceTemperature(Layer):
     """

city_metrix/layers/impervious_surface.py

@@ -1,6 +1,9 @@
+from dask.diagnostics import ProgressBar
+import xarray as xr
+import xee
 import ee
 
-from .layer import Layer, get_image_collection
+from .layer import Layer, get_utm_zone_epsg, get_image_collection
 
 
 class ImperviousSurface(Layer):

city_metrix/layers/land_surface_temperature.py

@@ -1,6 +1,8 @@
+from .landsat_collection_2 import LandsatCollection2
+from .layer import Layer, get_utm_zone_epsg, get_image_collection
+from dask.diagnostics import ProgressBar
 import ee
-
-from .layer import Layer, get_image_collection
+import xarray
 
 class LandSurfaceTemperature(Layer):
     """

city_metrix/layers/layer.py

@@ -2,6 +2,8 @@
 from abc import abstractmethod
 from typing import Union, Tuple
 from uuid import uuid4
+# This osgeo import is essential for proper functioning. Do not remove.
+from osgeo import gdal
 
 import ee
 import boto3
@@ -393,4 +395,4 @@ def offset_meters_to_geographic_degrees(decimal_latitude, length_m):
     lon_degree_offset = abs((length_m / (earth_radius_m * math.cos(math.pi*decimal_latitude/180))) * rad)
     lat_degree_offset = abs((length_m / earth_radius_m) * rad)
 
-    return lon_degree_offset, lat_degree_offset
+    return lon_degree_offset, lat_degree_offset

city_metrix/layers/nasa_dem.py

@@ -1,4 +1,6 @@
 import ee
+import xee
+import xarray as xr
 
 from .layer import Layer, get_image_collection
 
@@ -29,5 +31,5 @@ def get_data(self, bbox):
             self.spatial_resolution,
             "NASA DEM"
         ).elevation
-        
+
         return data

city_metrix/layers/natural_areas.py

@@ -1,3 +1,4 @@
+import xarray as xr
 from xrspatial.classify import reclassify
 
 from .layer import Layer

city_metrix/layers/smart_surface_lulc.py

@@ -1,7 +1,9 @@
 import xarray as xr
 import numpy as np
 import pandas as pd
+import geopandas as gpd
 from shapely.geometry import CAP_STYLE, JOIN_STYLE
+from shapely.geometry import box
 from exactextract import exact_extract
 from geocube.api.core import make_geocube
 import warnings

city_metrix/layers/tree_canopy_height.py

@@ -1,6 +1,9 @@
-import ee
+from .layer import Layer, get_utm_zone_epsg, get_image_collection
 
-from .layer import Layer, get_image_collection
+from dask.diagnostics import ProgressBar
+import xarray as xr
+import xee
+import ee
 
 class TreeCanopyHeight(Layer):
     """

city_metrix/layers/tree_cover.py

@@ -1,6 +1,10 @@
+from .layer import Layer, get_utm_zone_epsg, get_image_collection
+
+from dask.diagnostics import ProgressBar
+import xarray as xr
+import xee
 import ee
 
-from .layer import Layer, get_image_collection
 
 class TreeCover(Layer):
     """

city_metrix/layers/urban_land_use.py

@@ -1,6 +1,9 @@
+from dask.diagnostics import ProgressBar
+import xarray as xr
+import xee
 import ee
 
-from .layer import Layer, get_image_collection
+from .layer import Layer, get_utm_zone_epsg, get_image_collection
 
 
 class UrbanLandUse(Layer):

city_metrix/layers/world_pop.py

@@ -1,6 +1,9 @@
+from dask.diagnostics import ProgressBar
+import xarray as xr
+import xee
 import ee
 
-from .layer import Layer, get_image_collection
+from .layer import Layer, get_utm_zone_epsg, get_image_collection
 
 
 class WorldPop(Layer):