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streamline reprojecting and redefining snow products to be imported into Google Earth Engine

License: BSD 3-Clause "New" or "Revised" License

Jupyter Notebook 100.00%

ghw2019_snowatlas's Introduction

Snow Atlas

General Objective

Explore reprojection of snow product data, importing datasets to Google Earth Engine, and comparing to snow classification algorithm

Collaborators

  • Maura Rowell
  • Victoria Ly

Team Lead:

Victoria Ly

Data Science Leads:

Files

  • .gitignore
    Globally ignored files by git for the project.
  • environment.yml
    conda environment description needed to run this project.
  • README.md
    Description of the project. Sample

Folders

notebooks

Notebooks that are considered delivered results for the project should go in here.

scripts

Helper utilities that are shared with the team

Datasets

GlobSnow http://www.globsnow.info/ GlobSnow projection https://nsidc.org/ease/ease-grid-projection-gt

Also, possible: CanSISE https://nsidc.org/data/nsidc-0668

Background Reading

Nolin, A. 2010 "Recent advances in remote sensing of seasonal snow" https://www.igsoc.org/journal/56/200/j10j240.pdf Ly, V. AGU 2019 Abstract https://tinyurl.com/y6aarr3z Ly, V Eastern Snow Conference 2019 presentation https://tinyurl.com/y6oec49x

Tools

Python Google Earth Engine

<Python: gdalwarp, gdaltransform, xarray>

High-level Goals

Study Sites:

Team Wiki

Further information can be found on our team wiki page

ghw2019_snowatlas's People

Contributors

mkrowell avatar scottyhq avatar victorialy avatar

Watchers

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