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Surface-deformation monitoring in the permafrost regions over the Tibetan Plateau, using Sentinel-1 data
Received:November 20, 2017  Revised:January 04, 2018  Click here to download the full text
Citation of this paper:ZhenMing Wu,Lin Zhao,Lin Liu,Rui Zhu,ZeShen Gao,YongPing Qiao,LiMing Tian,HuaYun Zhou,MeiZhen Xie,2018.Surface-deformation monitoring in the permafrost regions over the Tibetan Plateau, using Sentinel-1 data.Sciences in Cold and Arid Regions,10(2):114~125.
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Author NameAffiliationE-mail
ZhenMing Wu Cryosphere Research Station on the Qinghai-Tibetan Plateau, State Key Laboratory of Cryospheric Sciences, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, Gansu 730000, China;University of Chinese Academy of Sciences, Beijing 100049, China  
Lin Zhao Cryosphere Research Station on the Qinghai-Tibetan Plateau, State Key Laboratory of Cryospheric Sciences, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, Gansu 730000, China;University of Chinese Academy of Sciences, Beijing 100049, China linzhao@lzb.ac.cn 
Lin Liu Earth System Science Programme, Faculty of Science, The Chinese University of Hong Kong, Shatin, Hong Kong 999077, China  
Rui Zhu Cryosphere Research Station on the Qinghai-Tibetan Plateau, State Key Laboratory of Cryospheric Sciences, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, Gansu 730000, China;Faculty of Geomatics, Lanzhou Jiaotong University, Lanzhou, Gansu 730070, China  
ZeShen Gao Cryosphere Research Station on the Qinghai-Tibetan Plateau, State Key Laboratory of Cryospheric Sciences, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, Gansu 730000, China  
YongPing Qiao Cryosphere Research Station on the Qinghai-Tibetan Plateau, State Key Laboratory of Cryospheric Sciences, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, Gansu 730000, China  
LiMing Tian Cryosphere Research Station on the Qinghai-Tibetan Plateau, State Key Laboratory of Cryospheric Sciences, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, Gansu 730000, China;University of Chinese Academy of Sciences, Beijing 100049, China  
HuaYun Zhou Cryosphere Research Station on the Qinghai-Tibetan Plateau, State Key Laboratory of Cryospheric Sciences, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, Gansu 730000, China;Faculty of Geomatics, Lanzhou Jiaotong University, Lanzhou, Gansu 730070, China  
MeiZhen Xie Cryosphere Research Station on the Qinghai-Tibetan Plateau, State Key Laboratory of Cryospheric Sciences, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, Gansu 730000, China;University of Chinese Academy of Sciences, Beijing 100049, China  
基金项目:This work was supported by the Innovation Groups of the National Natural Science Foundation of China (41421061), the Chinese Academy of Sciences (KJZD-EW-G03-02), the project of the State Key Laboratory of Cryosphere Science (SKLCS-ZZ- 2017), and CUHK Dir
 
Abstract:Differential Interferometric Synthetic Aperture Radar (D-InSAR) has been widely used to measure surface deformation over the Tibetan Plateau. However, the accuracy and applicability of the D-InSAR method are not well estimated due to the lack of in-situ validation. In this paper, we mapped the seasonal and long-term displacement of Tanggula (TGL) and Liangdaohe (LDH) permafrost regions with a stack of Sentinel-1 acquisitions using the Small Baseline Subset InSAR (SBAS-InSAR) method. In the TGL region, with its dry soils and sparse vegetation, the InSAR-derived surface-deformation trend was consistent with ground-based leveling results; long-term changes of the active layer showed a settlement rate of around 1 to 3 mm/a due to the melting of ground ice, indicating a degrading permafrost in this area. Around half of the deformation was picked up on monitoring, in contrast with in-situ measurements in LDH, implying that the D-InSAR method remarkably underestimated the surface-deformation. This phenomenon may be induced by the large soil-water content, high vegetation coverage, or a combination of these two factors in this region. This study demonstrates that surface deformation could be mapped accurately for a specific region with Sentinel-1 C-band data, such as in the TGL region. Moreover, although the D-InSAR technology provides an efficient solution for broad surface-deformation monitoring in permafrost regions, it shows a poor performance in the region with high soil-water content and dense vegetation coverage.
keywords:deformation|permafrost|SBAS-InSAR|leveling|Sentinel-1|Tibetan Plateau
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