Workshop: Wildfire Recovery with GeoAI: A Lab in Multi-Year Earth Observation

This hands-on lab uses wildland fire as a case study to demonstrate how GeoAI and multi-year Earth observation support structured post-disturbance recovery analysis. Drawing on applied work with the USGS EROS Center in Wildland Fire Support, participants will acquire Landsat imagery through EarthExplorer and ESPA and integrate it into ArcGIS Pro using the Esri Deep Learning Package. We will organize multi-year time-series data using a spatial fishnet and apply deep learning approaches, including Long Short-Term Memory (LSTM), to model recovery trajectories and interpret long-term landscape change. While wildfire anchors the session, the workflows extend to broader environmental disturbance analysis.

Speaker:
Phillipa Burgess

Host/Copilot:
Rupsa Roy

Date:
Friday, April 10, 2026

Time:
2:00 – 4:00 PM ET (11:00 AM – 1:00 PM PT)

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