Abstract
The bank of Nu River is controlled by several faults, and the geological environment is fragile. It is also affected by the natural factors of atmospheric precipitation. So there are a large number of potential landslide hidden points along Nu River. In this research we proposed an improved Time series InSAR (TSInSAR) technology for landslide investigation and identification from Anmuda to Kaxi along Nu River, China. The technique can identify high coherent scatterers and accurately obtain the surface deformation information. From the deformation rate map and Google earth optical image we identify five potential landslide hidden points along Nu River. We discover the continued acceleration phenomenon of hidden points that had been identified so that timely warnings of landslides with major potential safety hazards. This work is also helpful for the local government to carry out geological survey and disaster monitoring
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