Discussion on InSAR Identification Effectivity of Potential Landslides and Factors That Influence the Effectivity

The southwest mountainous area of China is one the areas with most landslides in world. In this paper, we used Ya’an City and Garzê Tibetan Autonomous Prefecture Sichuan Province as research to explore identification application effects large-area potential using synthetic aperture radar (SAR) data different wavelength types (Sentinel-1, ALOS-2), processing methods (SBAS-InSAR, Stacking-InSAR), geological environmental conditions. results show following: (1) effect identifying slope directions largely affected by satellite orbit direction; when identify landslide hazards across a large area, joint monitoring mode ascending descending required. (2) period affects carried out southwestern China; InSAR recommended be more than 2 years. (3) regions, SBAS technology Stacking have their own advantages; identifies landslides, higher accuracy; (4) degree vegetation coverage has great impact on SAR sources. low-density areas, result Sentinel-1 seems better ALOS-2 data. high-density that