Abstract: A reservoir bank landslide susceptibility evaluation method. The method includes the following steps: S1, acquiring geophysical parameters; S2, calculating stability of a reservoir bank after impoundment through a static geological evaluation model according to the geophysical parameters; S3, obtaining an average displacement velocity in a geographic coordinate system according to single look complex (SLC) images after impoundment; and S4, according to the average displacement velocity in the geographic coordinate system and the stability of the reservoir bank after impoundment of the reservoir, obtaining a reservoir bank landslide susceptibility grade. According to the method, a problem that present landslide susceptibility evaluation methods all adopt a single model to evaluate landslide susceptibility, which has low evaluation accuracy of the landslide susceptibility is solved.

Abstract: A method, a system, a device and a medium for landslide identification based on full Polarimetry Synthetic Aperture Radar (full PoISAR) are provided. The method mainly includes: registering target full PoISAR data with target optical remote sensing data and target digital elevation model data to obtain a first registration result and a second registration result; determining a polarization feature, a decomposition feature, and a terrain feature of a target area according to registration results; determining a texture feature and a hue feature of the target area according to the target full PoISAR data; determining a spectrum feature of the target area according to the target optical remote sensing data; fusing abovementioned multi-dimensional features to obtain a target fusion feature; and inputting the target fusion feature into a landslide mass identification model for identifying a landslide mass, so as to determine a landslide area in the target area.

Abstract: A method for calculating a sensitivity of a displacement of Synthetic Aperture Radar (SAR) along line-of-sight direction to a slope gradient and a slope aspect is provided, comprising: obtaining SAR data and Digital Elevation Model (DEM) data covering slope bodies, and extracting a local incident angle of an image by utilizing a satellite side-looking imaging principle; carrying out geometric distortion on the slope bodies under ascending and descending orbits by utilizing the local incident angle, to obtain specific locations of geometric distortion areas under ascending and descending orbit; calculating sensitivities of detections to changes of the slope gradient and the slope aspect under ascending and descending orbits according to the extracted parameter information of the SAR satellite in ascending and descending orbits and satellite heights, and dividing a sensitivity distribution by combining the sensitivity and the specific locations of the geometric distortion.