Getting Started with ICESat-2 ATL03 Photon Data in Python
A step-by-step guide to downloading, reading, and filtering ICESat-2 ATL03 photon data for coastal elevation studies.
Generating sub-meter accuracy digital elevation models from ICESat-2, TanDEM-X, and optical stereo imagery to assess flood exposure.
Quantifying how many people and assets fall within the inundation zone under various IPCC sea level rise scenarios.
Processing Planet, Sentinel, and Landsat imagery for change detection, coastal erosion monitoring, and shoreline extraction.
A step-by-step guide to downloading, reading, and filtering ICESat-2 ATL03 photon data for coastal elevation studies.
Exploring the systematic elevation biases in SRTM and Copernicus DEMs over coastal lowlands — and why they cause us to overestimate flood exposure.
How I use Python’s Folium library to create interactive geospatial visualizations for sea level rise and DEM analysis — and embed them directly in GitHub Pag...