多源遥感数据协同的四川金阳县滑坡隐患识别与二维监测OA

This study takes Jinyang county as the research area and integrates 332 Sentinel-1 SAR ima-ges from the past six years with multi-temporal optical imagery.Based on the SBAS-InSAR technique,regional landslide hazards were systematically identified and monitored.The results indicate that:1)Combining InSAR-derived deformation with optical interpretation,and verified by field surveys,14 landslide hazards were identified.They are mainly distributed along the right bank of the Jinsha river and both banks of the Jinyang river,with slope aspects predominantly facing due east and southeast.2)In-depth analysis of a typical landslide shows a high consistency between the de-formation area detected by InSAR(2018-01-02 to 2023-10-27)and the results from optical interpreta-tion.Deformation is primarily concentrated in the middle part of the slope.Based on deformation rates,the area can be classified into zones of extremely strong,strong,weak,and stable deformation.The cumulative deformation in the extremely strong deformation zone exceeds-490 mm and shows ongoing activity.3)Landslide deformation exhibits a lagged response to rainfall,and terrain slope is a key factor controlling its deformation pattern.This study can provide direct support for regional land-slide risk management and scientific monitoring.