Research on the Application of Remote Sensing Monitoring to Flood Monitoring Based on Sentinel-1A in Linyi City

Abstract

As one of the most devastating disasters threatening human's survival, flood disaster will lead to casualties and economic losses directly. In order to scientifically manage flood disasters and reduce losses, this paper, taking the typical flood process in Linyi in 2020 as an example, selects typical rivers and reservoirs as the research object. Moreover, Based on seven remote sensing images sourcing from Sentinel-1A from August 3 to August 27, 2020, the threshold method is used to extract the water body information before, during and after the disaster, obtaining the flood inundation range and spatial distribution. Simultaneously, data which are derived from the Landsat8 OLI and GF-1 are used to be compared with those from Sentinel-1A in October 2020 to verify the results, and the accuracy reaches 98.64% and 97.46% respectively. The results show that Sentinel1A SAR data can provide effective real-time flood monitoring data, and the threshold method can improve the timeliness of flood monitoring, realize dynamic monitoring of floods in different periods in Linyi, and provide rapid scientific disaster relief and disaster assessment.