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PRODID:-//pretalx//talks.osgeo.org//foss4g-2026//speaker//LRYZHU
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UID:pretalx-foss4g-2026-J9NSUC@talks.osgeo.org
DTSTART;TZID=JST:20260903T143000
DTEND;TZID=JST:20260903T150000
DESCRIPTION:This study develops a GIS-based flood susceptibility model for 
 Nepal’s Sunkoshi Basin integrating OpenStreetMap-derived hydrography wit
 hin an MCDA framework. AHP-derived weights and sensitivity analysis evalua
 te model robustness. Results demonstrate the reliability of OSM data for h
 ydrological hazard assessment in data-scarce mountainous environments.
DTSTAMP:20260604T220503Z
LOCATION:Conference Management Room3
SUMMARY:OpenStreetMap-Driven Flood Susceptibility Modeling Using GIS with M
 ulti-Criteria Decision Analysis - Prativa Thapa
URL:https://talks.osgeo.org/foss4g-2026/talk/J9NSUC/
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