基于SBAS-InSAR和光学遥感的天津市北部山区潜在滑坡识别研究OA北大核心

Taking the mountainous area in the north of Tianjin as the research object,the identification of po-tential landslide is researched,by using 56 Sentinel-1A data from 2018-01 to 2022-08 processed by SBAS-InSAR technology,and combining with the Landsat8 optical remote sensing images from 2018-2022,shape variable and optical remote sensing image features and NDVI are analyzed to screen the potential landslide area.The results show that:There are 20 large deformation areas identified by SBAS-InSAR technology in the northern mountainous area of Tianjin,19 areas identified by optical remote sensing images combined with various development environment ele-ments,and a total of 5 areas identified jointly by the two technologies.These 5 areas are identified as potential land-slide areas,through the identification and analysis of the settlement information of the 5 areas,the maximum annual deformation rate of the five areas can reach-12 mm/a,and it is necessary to conduct key monitoring and early warn-ing.The combination of the two technologies can effectively improve the identification accuracy of potential landslide areas,and provide a new way for disaster monitoring in the northern mountainous area of Tianjin.