基于多源遥感数据的滑坡易发区域识别OA

Early identification of landslide hazards and monitoring of easy happening areas are important work in disaster prevention and mitigation.In this paper,taking Yiyuan county in Shandong province as the research area,the HJ-2A CCD optical image and ASTER GDEM terrain data have been processed to form multi-source heterogeneous data.The decision tree method has used to extract landslide prone areas in the same period in 2022 and 2023.The extraction results have been analyzed for temporal and spatial changes through area change and spatial superposition analysis.It is showed that the multi-source remote sensing data and extraction method used in this paper could identify landslide prone areas well,with an o-verall accuracy of 90％and a Kappa coefficient of 0.802.Comparing with the landslide easy happening area of 17.526km2 in 2022,landslide easy happening area is 24.875km2 in 2023,which has increased 7.35km2,and the change rate is 41.94％.In spatial consistency analysis,the area of the risk-free zone is 1611.60km2,the area of the low-risk zone is 2.24km2,the area of the new risk zone is 9.59km2,and the area of high-risk zone is 15.29km2.The research results can provide reference for extracting landslide easy happening areas and preventing landslide geological disasters in Yiyuan county in Shandong province.