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The compendium compiles practical case studies on the use of Geospatial Artificial Intelligence (GeoAI) to enhance disaster risk reduction and emergency response across diverse geographic and institutional contexts.
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pport Offices (RSOs) working across Asia, Africa, Latin America, and Europe. These examples highlight how GeoAI, is being used to forecast floods, map wildfire risk, assess landslide susceptibility, monitor droughts, and support emergency response. Each project demonstrates how cloud-based platforms and machine learning tools help governments act faster and more precisely when disaster strike.
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The present ‘Guideline for the assessment of health risks’ serves
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The Waterborne Disease Outbreak Investigation Toolkit was designed to assist state and local health departments in conducting waterborne disease outbreak invest
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