Monitoring Landslides Using Multi-frequency SAR Data in Danba County, Sichuan Province, China

Danba County, located at the northwestern Sichuan, is one of the areas prone to severe landslides in China. The landslides in this area present great threaten upon the local public safety and the famous heritage architectures. Therefore, monitoring landslide is of great importance for the sustainable developments in Danba. In this paper, InSAR techniques is employed to investigate typical landslide activities, based on the multi-frequency SAR images acquired from C-band Envisat, X-band TerraSAR-X, and L-band ALOS-1/2 satellites. Firstly, differential InSAR (D-InSAR) is used to recognize known landslides and find potential unstable slopes in a region scale. Then, for a specific landslide, advanced multi-temporal InSAR method is exploited to characterize its surface deformation by obtaining time-series displacement on coherent targets. Furthermore, the triggering factors are discussed based on the deformation results and on-site surveys.

[1]  Davide Notti,et al.  Multi-sensor advanced DInSAR monitoring of very slow landslides: The Tena Valley case study (Central Spanish Pyrenees) , 2013 .

[2]  Gianfranco Fornaro,et al.  Advanced low- and full-resolution DInSAR map generation for slow-moving landslide analysis at different scales , 2010 .

[3]  Fabio Rocca,et al.  Permanent scatterers in SAR interferometry , 2001, IEEE Trans. Geosci. Remote. Sens..

[4]  Fabio Rocca,et al.  SAR monitoring of progressive and seasonal ground deformation using the permanent scatterers technique , 2003, IEEE Trans. Geosci. Remote. Sens..

[5]  Timo Balz,et al.  Deformation monitoring of slow-moving landslide with L- and C-band SAR interferometry , 2014 .

[6]  Fabio Rocca,et al.  Nonlinear subsidence rate estimation using permanent scatterers in differential SAR interferometry , 2000, IEEE Trans. Geosci. Remote. Sens..

[7]  Cem Kincal,et al.  Using advanced InSAR time series techniques to monitor landslide movements in Badong of the Three Gorges region, China , 2013, Int. J. Appl. Earth Obs. Geoinformation.

[8]  Fabio Rocca,et al.  Dynamics of Slow-Moving Landslides from Permanent Scatterer Analysis , 2004, Science.

[9]  J. Roering,et al.  Controls on the seasonal deformation of slow-moving landslides , 2013 .

[10]  A. Hooper,et al.  Recent advances in SAR interferometry time series analysis for measuring crustal deformation , 2012 .

[11]  H. Zebker,et al.  Persistent scatterer interferometric synthetic aperture radar for crustal deformation analysis, with application to Volcán Alcedo, Galápagos , 2007 .

[12]  Timo Balz,et al.  Characterization of Landslide Deformations in Three Gorges Area Using Multiple InSAR Data Stacks , 2013, Remote. Sens..