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Surface type clustering

Unsupervised surface classification on ICESat-2's ATL03. Preliminary goals include correctly downloading and processing ATL03 data, curating the data for training and performing clustering on it to determine different surface types.

Team

Brad Lipovsky, Yara Mohajerani, Kat Sejan, Susan Howard, Myung Sik Cho and Jordi Bolibar

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

contributors

Each team member has it's own folder under contributors, where he/she can work on their contribution. Having a dedicated folder for one-self helps to prevent conflicts when merging with master.

notebooks

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

scripts

Helper utilities that are shared with the team