This paper has to be cited as: Dai K, Xu Q, Li Z, Tomás R, Fan X, Dong X, Li W, Zhou Z, Gou J and Ran P (2019) Post-disaster assessment of 2017 catastrophic xinmo landslide (china) by spaceborne sar interferometry. Landslides. doi: 10.1007/s10346-019-01152-4. The final publication is available at Springer via: https://link.springer.com/article/10.1007/s10346-019-01152-4 1 Post-disaster assessment of 2017 catastrophic Xinmo landslide 2 (China) by spaceborne SAR interferometry 3 Keren Dai1,2,3, Qiang Xu1*, Zhenhong Li4, Roberto Tomás5, Xuanmei Fan1, 4 Xiujun Dong1, Weile Li1, Zhiwei Zhou2, Jisong Gou3, Peilian Ran3 5 1. State Key Laboratory of Geohazard Prevention and Geoenviroment Protection, Chengdu 6 University of Technology, Chengdu 610059, China; 7 2. State Key Laboratory of Geodesy and Earth’s Dynamics, Institute of Geodesy and 8 Geophysics, Chinese Academy of Sciences, Wuhan 430077, China; 9 3. College of Earth Sciences, Chengdu University of Technology, Chengdu 610059, China; 10 4. COMET, School of Engineering, Newcastle University, Newcastle upon Tyne NE1 7RU, UK; 11 5. Departamento de Ingeniería Civil, Escuela Politécnica Superior, Universidad de Alicante, 12 P.O. Box 99, E-03080 Alicante, Spain 13 * Corresponding author.
[email protected] 14 Abstract: Timely and effective post-disaster assessment is of significance for the 15 design of rescue plan, taking disaster mitigation measures and disaster analysis. Field 16 investigation and remote sensing methods are the common way to perform post-disaster 17 assessment, which are usually limited by dense cloud coverage, potential risk and tough 18 transportation etc.