Assimilation

General Objectives

• Get comfortable working with ICESat-2 and DEM raster data in Python
• Compare ICESat-2 data with various DEM raster data types (SAR, Lidar, Photogrammetry)
• Quantify errors when adjusting existing DEMs with ICESat-2 data over bare ground
• Compare results from mid-latitude glaciers and polar glaciers
• Use info in existing DEMs to interpolate/extrapolate between ICESat-2 points

Collaborators

Debmita Bandyopadhyay
Friedrich Knuth
Tian Li
Mike Wood
Whyjay Zheng

Team Lead

Whyjay Zheng

Data Science Lead

Friedrich Knuth

Study Sites

• Pacific Northwestern United States (showcased in the notebooks folder)

Potential future targets include Arctic Polar Region & High-mountain Asia.

Files

• .gitignore - Globally ignored files by git for the project.
• environment.yml - conda environment description needed to run this project.
• LICENSE - license information.
• setup.py - configuration of pip installation.

Installation

• git clone https://github.com/ICESAT-2HackWeek/Assimilation.git
• pip install -e Assimilation

Folders

contributors

Each team member has it's own folder under here, where he/she work on their contribution.

figures

Figures to be inserted in readme files or notebooks.

notebooks

Notebooks that are considered delivered results for the project.

scripts

Helper utilities that are not included in simlib.

simlib

Main library of the project.

Integrated Workflow

Link to the project notebook

• Overview of simlib library
  • Installation using pip
• Create a Reference DEM object
  • reference_dem object
  • Visualization
  • Extract bounding box information for downloading ICESat-2 data
• Locate ICESat-2 ATL06 data in the DEM domain
  • Query and download data from Open Altimetry with OA_request function
  • Query and download data from NSIDC with Icepyx
  • Parallel downloading enabled
  • Pre-filtering ATL06 data
  • Overlay ATL06 data on a basemap
• Compare the DEM with ATL06 over bare rock
  • Sample DEM elevations at ATL06 point locations
  • Classify land cover for each ATL06 point using input polygons (glacier outline)
  • Histogram and uncertatinty analysis
• Interpolating ATL06 data with DEM infomation
  • Compare results with different gridding algorithms
  • Generate profiles along any user-defined direction
  • Preliminary quality assessment

Note from Stand-up June 17th

What have we been working on?

• Enabled netrc authentication in collaboration with icepyx
• Created simlib library to host functions and classes
• Created methods to query NSIDC for metadata and send requests to the OpenAltimetry API (example)
• Created methods for raster and point processing / analysis

What do we plan to do next?

• Create integrated workflow example using the simlib library for presentation tomorrow - Mike, Team
• Send requests to the OpenAltimetry in parallel - Tian, Friedrich
• Create quick plotting method using data returned from OpenAltimetry API prior to NSIDC download - Tian, Friedrich
• Create generic methods to mask / classify points using raster or polygon mask inputs - Debmita, Whyjay
• Create generic methods to mask reference DEMs using raster or polygon mask inputs - Friedrich, Mike
• Develop point gridding and interpolation methods - Whyjay
• Develop DEM co-registration methods - Mike, Friedrich