ガンジス川・ブラマプトラ川・メグナ川流域の洪水リスク分析

グーグルアースエンジンとマルチソース データ統合を使用した地理空間アプローチ

抄録

The Ganges Brahmaputra Meghna (GBM) Basin, supporting millions and vital agricultural areas, faces increasing flood risks due to climate change. This study uses Google Earth Engine to assess flood susceptibility by integrating elevation, vegetation and water indices, and hydrological networks. Results highlight low-lying regions as highly vulnerable, threatening populated and agricultural areas. Our model achieved 76％ accuracy, with a precision 0.72, recall 0.84, and F1 score 0.78. Covering nearly 335,000 km², the analysis was fast and scalable. These findings provide actionable insights for policymakers and disaster management, demonstrating the potential of geospatial technologies to enhance flood resilience in similarly at-risk regions worldwide.