Flood Impact Analysis
Presentation Time: Fri, 05/02/2025 - 23:00
Keywords: remote sensing, spatial analysis, Digital Elevation Models, flood-prone zones, watershed modeling
Super Typhoon Yagi struck Quang Ninh Province in Northern Vietnam on September 7, 2024, causing widespread flooding, significant infrastructure damage, and numerous casualties. This study measured and analyzed the typhoon’s impact using remote sensing techniques and spatial analysis to map flood extents and assess affected areas. Pre- and post-typhoon Sentinel-1 and Sentinel-2 imagery were processed in the Sentinel Application Platform (SNAP) for change detection, focusing on alterations in land cover, water bodies, and infrastructure. Digital Elevation Models (DEMs) supported terrain analysis to identify flood-prone zones, while watershed modeling evaluated hydrological responses in severely impacted areas. Despite limitations in high-resolution rainfall data and the availability of up-to-date socio-economic datasets, the analysis emphasized topographic and land cover factors in flood mapping. The findings provide valuable insights into the spatial distribution of flood risks and vulnerabilities, offering data-driven guidance to improve disaster preparedness and response strategies in Quang Ninh Province.
