人工智能用于减少气候相关灾害风险.pdf

1、AI for Climate-Related Disaster Risk ReductionOpportunities,Challenges,and the Role of StandardsMonique M.Kuglitsch,Ph.D.,Fraunhofer Heinrich Hertz Institute,GermanyWhy should DRR underscore climate change adaptation?Climate-related disasters have almost doubled compared to the previous twenty years

2、.This has exacerbated inequalities within and between countries,with those contributing least to global emissions often experiencing the worst impacts of the climate emergency.(UNDRR,2021;image:Ververidis Vasilis,Shutterstock)How is AI being used for disaster management?(Gazzea et al.,2023)(Kuzin et

3、 al.,2021)(Kuglitsch et al.,2023,Eos)(Sercan Kucuksahin/Anadolu Agency/Getty;Kuglitsch et al.,2024)(Asif et al.,2025)TG-AI for Snow Avalanche Monitoring and DetectionTG-AI for Landslide Monitoring and DetectionTG-AI for Geodetic Enhancements to Tsunami Monitoring and DetectionTG-AI for Flood Monitor

4、ing and DetectionTG-AI for Wildfire Monitoring and DetectionTG-AI for Volcanic Eruption ForecastingTG-AI for Multihazard Communication TechnologiesTG-AI for Hail and Windstorm Hazard MappingTG-AI for Vector-borne Disease ForecastingTG-AI for Insect Plague Monitoring and DetectionTG-AI for Earthquake

5、 Monitoring,Detection,and ForecastingTG-AI for ClimateInsights from the academic literatureInsights from the use cases(Kuglitsch et al.,2022,WMO Bulletin)How is AI being used for disaster management?Opportunitiesdata fusionpredictionidentificationlanguagedecision support(sat-2 PhiFireAI app,ESA)(Dcr

6、uz et al.,2025)“AIFER develops artificial intelligence(AI)methods to automatically extract and fuse information from satellite,aerial image and drone data as well as from geo-social media and news.”Challengesdata gaps,biasesmodel trustworth