Open Source

I typically focus on geospatial tooling and machine learning, with several open source projects available on GitHub:

• Sims - Interactive web tool that finds similar geographical regions based on environmental characteristics using Google Earth Engine. Helps with agricultural planning and environmental research.

• Building Damage Assessment Toolkit - Tools for assessing building damage from satellite and aerial imagery after natural disasters, helping first responders prioritize resources.

• Data-Centric Satellite Image Segmentation - Award-winning implementations of data-centric approaches for improving satellite imagery segmentation performance.

• End-to-End Google Earth Engine - Jupyter Notebook reproduction of the "End-to-End Google Earth Engine" course using geemap.

• Hands-on ML with Scikit-Learn - Notes and code accompanying Part 1 of Aurelien Geron's machine learning and deep learning book.