Abstract:An active landslide rapid recognition method, based on InSAR deformation and assisted by optical remote sensing, geomorphologic features and geological conditions, is presented in this article and Leibo County of Sichuan Province is chosen to be the study area. Four type of SAR data, PALSAR-1/2 as-/descend and Senitnel-1A/B de-/ascend are processed, with interpretation of 163 landslides overall and analysis of spatial and temporal distribution, from which some important conclusions are drawn. (1) InSAR can trace long and small deformation so as to realize effective recognition of active landslides; (2) The use of multiple types SAR data can overcome the shortages of InSAR, such as layover, shadow, incoherence, to improve the efficiency, effect and timeliness; (3) Compared with field investigation results, landslides recognized by InSAR are more comprehensive and accurate, especially for high-position and centralized landslides, and therefore InSAR can be taken as one of the important methods for landslide survey; (4) The landslides in Leibo county mainly occurred along the Jinsha river and the Meigu river, on the north slope and slope areas with a gradient from 30° to 40°. The overall distribution of geological hazards in each stratum is even, except for the Cambrian and Ordovician-Silurian with a relatively high ratio.