日本地球惑星科学連合2019年大会

講演情報

[E] ポスター発表

セッション記号 H (地球人間圏科学) » H-DS 防災地球科学

[H-DS12] Advanced Remote Sensing toward Mega-Disaster Response

2019年5月27日(月) 17:15 〜 18:30 ポスター会場 (幕張メッセ国際展示場 8ホール)

コンビーナ:栄珠 郭(水災害リスクマネジメント国際センター)、竹内 渉(東京大学生産技術研究所)

[HDS12-P02] Flood inundation forecasting coupled with in-situ water level and satellite data

*Young-Joo Kwak1Jonggeol Park2Wataru Takeuchi3 (1.ICHARM-UNESCO: International Centre for Water Hazard And Risk Management、2.Tokyo University of Information and Sciences、3.University of Tokyo)

キーワード:Flood detection, Inundation forecasting, MODIS

With extreme weather events, catastrophic floods occur as one of the major disasters in the world. With the development of spaceborne optical and SAR (synthetic aperture radar) sensors, flood detection algorithms should be progressively developed to produce more accurate flood maps

Despite very limited satellite-based data, this study introduces good examples of snapshot flood detection and flood inundation forecasting focusing on short-term flood extent change using a new index-based flood algorithm with a synchronized floodwater index (SfWI2). MODIS (MODerate resolution Imaging Spectroradiometer, NASA-USGS) time series data were mainly employed to detect the annual and potential flood extent of 2017. The pilot study was selected in the mega deltas over vast low-lying areas of Bangladesh and India (i.e., the 2017 flood in the basins of the Ganges, Brahmaputra and Magna rivers)
As preliminary results, the resultant maps represented the dynamics of flood extent and flood propagation process. This approach shows a methodological possibility for instant and comprehensive flood mapping at the international river-basin level. For application to a global flood mapping, reliable satellite-derived flood maps will contribute flood risk management. In order to improve the accuracy of rapid flood mapping, we should solve many ambiguities in particular, surface complexity, i.e., urbanized mega-delta floodplains.