Local Analysis of Flooding in Jianghua County, Yongzhou City Based on Remote Sensing Data

Abstract

Floods are one of the common natural disasters. Due to the accumulation and growth of water levels caused by natural and artificial factors, floods often cause damage to farmland and construction land and casualties. Currently, remote sensing is developing rapidly and has strong advantages in dynamic monitoring of flood disasters. This article selects the microwave data of Sentinel-1 SAR, combined with the land cover type and population data of ESA and JRC, to conduct change detection and disaster analysis and assessment of the flood that occurred in Qingtang Zhuang Nationality Town, Jianghua County, Yongzhou City, Hunan Province, China in June 2022. This study detected the range of obvious flood changes in the study area by analyzing different image data, and provided an initial assessment of the potential impact of floods on land types and population. Research results show that floods in Qingtang Zhuang Nationality Town mainly occurred in cultivated land and a small part of forestland areas in the central area, and affected a small proportion of people. The research results provide certain references for regional flood detection and disaster analysis. Further research can combine more data, such as terrain slope, to conduct a more detailed visualization of the affected features.