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.
Brad Lipovsky, Yara Mohajerani, Kat Sejan, Susan Howard, Myung Sik Cho and Jordi Bolibar
- .gitignore
 Globally ignored files by- gitfor the project.
- environment.yml
 - condaenvironment description needed to run this project.
- README.md
 Description of the project. Sample
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 that are considered delivered results for the project should go in here.
Helper utilities that are shared with the team