Abstract
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.
This work was financially supported by 2015 science and technology project of SGCC Southwest China Branch and the National Key Basic Research Program of China (Grant No. 2013CB733205).
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Acknowledgments
The authors thank DLR for providing the TerraSAR-X datasets through the General AO project (GEO0606), ESA for providing Envisat ASAR data through the Dragon-3 project (ID 10569), and JAXA for providing the ALOS-1/2 datasets through ALOS RA4 project (No. 1247 and 1440).
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Ding, Y., Dong, J., Zhang, L., Liao, M., Zhou, Y. (2017). Monitoring Landslides Using Multi-frequency SAR Data in Danba County, Sichuan Province, China. In: Yuan, H., Geng, J., Bian, F. (eds) Geo-Spatial Knowledge and Intelligence. GRMSE 2016. Communications in Computer and Information Science, vol 699. Springer, Singapore. https://doi.org/10.1007/978-981-10-3969-0_37
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