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)
Mind The Chl Gap	Neural network models for Chloraphyll-a gap-filling for remote-sensing products	Shridhar Sinha & Eli Holmes
Production-oriented SWE Forecasting	Developing a robust and scalable workflow for predicting snow water equivalent in the context of the western United States	Ziheng Sun
Multi-target Gaussian Process Regression for 3D Mapping	Developing a multi-target Gaussian Process Regression (GPR) model to predict engineering soil classification and soil layering in three dimensions	Morgan Sanger
Crunchy Snow	Machine learning models for Sentinel-1 SAR backscatter snow depth retrieval	Quinn Brencher