GeoAI Tutorial 1: Introducing the GeoAI Python Package
Open Geospatial Solutions · 2025-03-03
A new #GeoAI tutorial series where I'll guide you through using the powerful GeoAI Python package for integrating AI with geospatial data analysis and visualization.
Open Geospatial Solutions. 2025-03-03. GeoAI Tutorial 1: Introducing the GeoAI Python Package. https://www.youtube.com/watch?v=teqyY8GNYRU (AI & Environment Resource Hub; record video-072; collection snapshot 2026-09-15).
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A new family of spatial-extent coefficients assesses extreme georeferenced events by measuring spatial spread from threshold exceedances, with a semiparametric model enabling statistical extrapolation, demonstrated through simulations and gridded temperature data in France.
Extreme Events, Machine Learning
Shared topics: Research tools and geospatial methods; Energy and electricity; 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.
Apple Podcasts
Shared topics: Research tools and geospatial methods; Energy and electricity; Climate and greenhouse gases; Weather, hazards, and adaptation
Continuous and reliable Earth observation is critical for real-world systems like hurricane forecasting and wildfire detection. GAIA demonstrates promising capabilities, both in filling large gaps in satellite records and converting satellite imagery into precipitation estimates. GAIA represents a new class of geospatial AI models with the potential to create significant impact across sectors—from more accurate weather forecasting to applications in insurance, power utilities, aviation, and agriculture.
Source metadata availablefree
Shared topics: Research tools and geospatial methods; Energy and electricity; Climate and greenhouse gases; Weather, hazards, and adaptation
HASTE is an AI-powered disaster assessment framework that leverages satellite imagery and remote sensing data to provide rapid assessment capabilities for humanitarian response teams.