Research on flood remote sensing monitoring based on multi-source remote sensing data

In order to scientifically manage flood disasters in flood storage areas and effectively reduce economic losses, the Mengwa flood storage area in Anhui Province was taken as the research area, and Sentinel 1, 2 and Gaofen series satellite images were selected as data sources, and the regional growth algorithm was used to quickly extract floods. Inundation area, draw the monitoring map of water body changes before and after the flood disaster, combined with the land use type coverage map of Mengwa flood storage area, and use GIS technology to analyze the disaster situation and total land use type of Mengwa flood storage area during the flood in July and August 2020. Spatial and temporal variation characteristics of regional disasters. The regional growth algorithm combined with multi-source remote sensing data can quickly and accurately extract the flood range and realize the timeliness and high-frequency monitoring of flood information. The severely affected areas of Mengwa flood storage area are mainly concentrated in the central and northeastern regions, and the southwestern region is less affected; farmland and breeding ponds are the most severely affected, and Baozhuangwei and Zhuangtai are the least affected. The temporal change of the affected area in the Mengwa flood storage area has a strong correlation with the flood storage measures, but a weak correlation with the local precipitation.