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AI for Good. Space-based information for Disaster Management and Emergency Response
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. The compendium features selected case studies submitted by twenty-seven Regional Su ... more
Flood mapping in urban areas poses significant challenges for Synthetic Aperture Radar (SAR) sensors due to limitations in detecting water in regions characterized by dense vegetation, urban infrastructure, or complex surface conditions. These limitations include reduced sensitivity in vegetated or ... more
This reference manual provides in-depth knowledge on the techniques, methodologies and best practices for using geospatial information in support of decision making for disaster risk management for specific hazards
The guide is designed to help disaster managers in national Governments gain basic knowledge of how to use international tools and services. It aims to support the growing disaster response and disaster response preparedness capabilities that exist at national level across Asia and the Pacific.
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