AI & Environment Resource HubAstrid Werkmeister - Applied Space Technology Laboratory (ApSTL) - University of Strathclyde · Publication date unknown
Using satellite evidence with community-resilience indicators to support decisions before, during, and after climate shocks.
Astrid Werkmeister - Applied Space Technology Laboratory (ApSTL) - University of Strathclyde. Date unknown. Decoding Climate Displacement. https://storymaps.arcgis.com/collections/785ad23765534cd8b5d70490f9b2b573 (AI & Environment Resource Hub; record atlas-616cc795f43b; collection snapshot 2026-09-15).
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Shared topics: Cross-cutting sustainability; Research tools and geospatial methods; Climate and greenhouse gases; Weather, hazards, and adaptation
This study showcases a machine learning hackathon in France where a CNN-based model accurately predicted flood risk evolution using geospatial and climate data, even without streamflow input, emphasizing trustworthy AI in data-scarce regions.
Shared topics: Cross-cutting sustainability; Research tools and geospatial methods; Climate and greenhouse gases; Weather, hazards, and adaptation
Bellwether, an AI-powered climate prediction tool, analyzes Earth observation data to aid disaster preparedness and recovery, with Dr. Sarah Russell leading its efforts at the intersection of business, planetary health, and machine learning.
Shared topics: Cross-cutting sustainability; Research tools and geospatial methods; Climate and greenhouse gases; Weather, hazards, and adaptation
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Shared topics: Cross-cutting sustainability; Climate and greenhouse gases; Weather, hazards, and adaptation
Open the record to view the available source metadata.