Projects#
During hackweeks we invite participants to collaborate in small group project teams (usually 5-7 people). Projects provide unique opportunities for networking, advancing research and learning new things.
You can find our comprehensive guide for organizing projects before, during, and after a hackweek in our Hackweek Guidebook. Below you’ll find a table keeping track of all project work done during this event:
List of Projects#
Here is our current list of project for our August 19 to 23, 2024 GeoSmart Hackweek:
Project Name (with link to GitHub repo) |
Short Description |
Project Lead(s) |
|---|---|---|
Neural network models for Chloraphyll-a gap-filling for remote-sensing products |
Shridhar Sinha & Eli Holmes |
|
Developing a robust and scalable workflow for predicting snow water equivalent in the context of the western United States |
Ziheng Sun |
|
Developing a multi-target Gaussian Process Regression (GPR) model to predict engineering soil classification and soil layering in three dimensions |
Morgan Sanger |
|
Machine learning models for Sentinel-1 SAR backscatter snow depth retrieval |
Quinn Brencher |
Project Posters#
Mind the Chl Gap#
Production-oriented SWE Forecasting#
Multi-target GPR for 3D Mapping#
Crunchy Snow#
