基于Sentinel-1数据对青藏高原五道梁多年冻土区地面形变的监测与分析

doi:10.7522/j.issn.1000-0240.2019.0072

冰川冻土 ›› 2019, Vol. 41 ›› Issue (3): 525-536.doi: 10.7522/j.issn.1000-0240.2019.0072

基于Sentinel-1数据对青藏高原五道梁多年冻土区地面形变的监测与分析

周华云^1,2,3，赵林²，田黎明^2,4，吴振明^2,4，谢梅珍^2,4，原黎明^2,4，倪杰^2,4，乔永平²，高泽深²，史健宗²

1.兰州交通大学测绘与地理信息学院，甘肃兰州 730070； 2.中国科学院西北生态环境资源研究院青藏高原冰冻圈观测研究站，甘肃兰州 730000； 3.甘肃省地理国情监测工程实验室，甘肃兰州 730070； 4.中国科学院大学，北京 100049

收稿日期:2017-11-11 修回日期:2018-06-12 出版日期:2019-06-25 发布日期:2019-09-10
通讯作者: 赵林，E-mail：linzhao@lzb.ac.cn E-mail:linzhao@lzb.ac.cn
作者简介:周华云（1991-），男，四川宣汉人，2014年在兰州交通大学获学士学位，现为兰州交通大学在读硕士研究生，从事青藏高原冻土形变研究. E-mail：zhouhuayun10@gmail.com
基金资助:
国家自然科学基金项目（41421061）资助

Estimation and analysis of surface deformation in the permafrost area of Wudaoliang based on Sentinel-1 data

ZHOU Huayun^1,2,3, ZHAO Lin², TIAN Liming^2,4, WU Zhenming^2,4, XIE Meizhen^2,4, YUANLiming^2,4, NI Jie^2,4, QIAO Yongping², GAO Zesheng², SHI Jianzong²

1.Faculty of Geomatics, Lanzhou Jiaotong University, Lanzhou 730070, China; 2.Cryosphere Research Station on the Qinghai-Tibet Plateau, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China; 3.Geographical Condition Monitoring Engineering Laboratory of Gansu Province, Lanzhou 730070, China; 4.University of Chinese Academy of Sciences, Beijing 100049, China

Received:2017-11-11 Revised:2018-06-12 Online:2019-06-25 Published:2019-09-10

摘要/Abstract

摘要： 在气候变暖背景下，地面形变监测可以反映多年冻土的发育趋势。利用欧空局Sentinel-1降轨数据（2014年11月27日至2017年3月4日），基于SBAS-InSAR技术，获取了五道梁多年冻土区的地面形变状况，并分析了环境因子对其的影响。结果表明，近年来该地区地面主要表现为沉降趋势，与水准实测形变趋势吻合，相对误差为22.4%，均方根误差为4.3 mm；形变变化速率为-10.28 mm·a^-1，相对误差为14.79%。植被类型、地形地貌对多年冻土区地面形变影响较大。植被发育越好，由于土壤含水量越高，地面形变量越大；而植被覆盖度在一定程度上会影响Sentinel-1数据获取地面形变信息的精度；地形起伏较大的山区形变量存在垂直向与南北向的差异；水体分布较多的地区，信号失相干相对严重，Sentinel-1数据获取地面形变信息的能力会受到较大的影响。此外，降水事件与日冻融循环作用对Sentinel-1数据获取地面形变信息的精度影响也不可忽略。因此，在利用Sentinl-1数据获取青藏高原多年冻土区地面形变信息时，要综合考虑下垫面、气候条件与冻土日冻融循环的影响。

关键词: Sentinel-1, 五道梁, SBAS-InSAR, 多年冻土, 地面形变, 青藏高原

Abstract: Frequent freeze-thaw cycles of the active layer can cause surface deformation, and thus monitoring surface deformation, to a certain extent, can reflect permafrost development in the context of climate warming. In this study, the time-series of surface deformation in Wudaoliang region from 2014 to 2017 has been obtained and analyzed its relations with environmental factors by using the Sentinel-1 data, SBAS-InSAR technology, and in-situ observations. The results indicated that the surface deformation of this region showed a subsidence trend, in accordance with the in-situ observations, with the relative error and RMSE of 22.4% and 4.3 mm, respectively. The annual change rate of deformation and relative error was -10.28 mm and 14.79%, respectively. Vegetation types and landform had great impacts on surface deformation in permafrost area, as well as the capacity of InSAR technology to obtain deformation. Due to high soil moisture content in vegetation-developed regions, the changing magnitude of surface deformation is large. The surface deformation showed high heterogeneity because of large differences in altitudes and aspects of mountain areas. The signal lost seriously in areas with water, combined with the effects of precipitation and daily freeze-thaw cycles in permafrost region, thus affecting the ability of InSAR technology to obtain ground deformation. Therefore, it is necessary to take the underlying conditions and freeze-thaw cycles into consideration when estimating surface deformation in permafrost regions by using InSAR techniques.

Key words: Sentinel-1, SBAS-InSAR, Wudaoliang, permafrost, deformation, Tibetan Plateau

中图分类号:

P463.25

周华云, 赵林, 田黎明, 吴振明, 谢梅珍, 原黎明, 倪杰, 乔永平, 高泽深, 史健宗. 基于Sentinel-1数据对青藏高原五道梁多年冻土区地面形变的监测与分析[J]. 冰川冻土, 2019, 41(3): 525-536.

ZHOU Huayun, ZHAO Lin, TIAN Liming, WU Zhenming, XIE Meizhen, YUANLiming, NI Jie, QIAO Yongping, GAO Zesheng, SHI Jianzong. Estimation and analysis of surface deformation in the permafrost area of Wudaoliang based on Sentinel-1 data[J]. Journal of Glaciology and Geocryology, 2019, 41(3): 525-536.

参考文献

[1] Zou Defu, Zhao Lin, Sheng Yu, et al. A new map of the permafrost distribution on the Tibetan Plateau[J]. The Cryosphere, 2017, 11(6): 2527-2542.

[2] Cheng Guodong, Zhao Lin. The problem associated with permafrost in the development of the Qinghai-Xizang Plateau[J]. Quaternary Sciences, 2000, 20(6): 521-531. [程国栋, 赵林. 青藏高原开发中的冻土问题[J]. 第四纪研究, 2000, 20(6): 521-531.]

[3] Wu Qingbai, Liu Yongzhi, Tong Changjiang, et al. Interaction between soil environment and engineering environment in cold regions[J]. Journal of Engineering Geology, 2000, 8(3): 281-287. [吴青柏, 刘永智, 童长江, 等. 寒区冻土环境与工程环境间的相互作用[J]. 工程地质学报, 2000, 8(3): 281-287.]

[4] Zhou Youwu, Guo Dongxin, Qiu Guoqing, et al. Geocryology in China[M]. Beijing: Science Press, 2000: 37-41. [周幼吾, 郭东信, 邱国庆, 等. 中国冻土[M]. 北京: 科学出版社, 2000: 37-41.]

[5] Zhao Lin. The freezing-thawing process of active layer and changes of seasonally frozen ground on the Tibetan Plateau[D]. Lanzhou: Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, 2004. [赵林. 青藏高原多年冻土活动层的冻融过程以及季节冻土的变化[D]. 兰州: 中国科学院寒区旱区环境与工程研究所, 2004.]

[6] Wang Zhijian. Permafrost engineering in Qinghai-Tibet Railway construction[J]. Chinese Railways, 2002(12): 31-37. [王志坚. 青藏铁路建设中的冻土工程问题[J]. 中国铁路, 2002(12): 31-37.]

[7] Liu Guangsheng, Wang Genxu, Hu Hongchang, et al. Influence of vegetation coverage on water and heat processes of the active layer in permafrost region of the Tibet Plateau[J]. Journal of Glaciology and Geocryology, 2009, 31(1): 89-95. [刘光生, 王根绪, 胡宏昌, 等. 青藏高原多年冻土区植被盖度变化对活动层水热过程的影响[J]. 冰川冻土, 2009, 31(1): 89-95.]

[8] Boorman L. Climate change 1995: impacts, adaptations and mitigation of climate change: scientific-technical analysis: Contribution of working group II to the second assessment report of the intergovernmental panel on climate change[M]. Cambridge, UK: Cambridge University Press, 1996.

[9] Wang Shaoling. Studies on permafrost degeneration on Qinghai-Xizang Plateau[J]. Advances in Earth Science, 1997, 12(2): 164-167. [王绍令. 青藏高原冻土退化研究[J]. 地球科学进展, 1997, 12(2): 164-167.]

[10] Xu Xiaoming, Wu Qingbai, Zhang Zhongqiong. Responses of active layer thickness on the Qinghai-Tibet Plateau to climate change[J]. Journal of Glaciology and Geocryology, 2017, 9(1): 1-8. [徐晓明, 吴青柏, 张中琼. 青藏高原多年冻土活动层厚度对气候变化的响应[J]. 冰川冻土, 2017, 9(1): 1-8.]

[11] Liu Yaojun, Yue Zurun, Li Zhong. Settlement deformation and ground temperature monitoring of subgrade in plateau permafrost region of Qinghai-Tibet Railway[J]. Railway Standard Design, 2003, 12(4): 26-27. [刘尧军, 岳祖润, 李忠. 青藏铁路高原冻土区段路基沉降变形和地温监测[J]. 铁道标准设计, 2003, 12(4): 26-27.]

[12] Wang Xiaofang. Selection of subgrade deformation observation method[J]. Railway Engineering, 2004(4): 41-43. [王晓放. 路基变形观测方法的选用[J]. 铁道建筑, 2004(4): 41-43.]

[13] Gabrile A K, Goldstein R M, Zebker H A. Mapping small elevation changes over large areas: differential radar interferometry[J]. Journal of Geophysical Research, 1989, 94(B7): 9183-9191.

[14] Massonnet D, Rossi M, Carmona C, et al. The displacement field of the Landers earthquake mapped by radar interferometry[J]. Nature, 1993, 364(6433): 138-142.

[15] Li Zhen, Li Xinwu, Liu Yongzhi, et al. Detecting the displacement field of thaw settlement by means of SAR interferometry[J]. Journal of Glaciology and Geocryology, 2004, 26(4): 389-396. [李震, 李新武, 刘永智, 等. 差分干涉SAR冻土形变检测方法研究[J]. 冰川冻土, 2004, 26(4): 389-396.]

[16] Xie Chou, Li Zhen, Li Xinwu. A study of deformation in permafrost regions of Qinghai-Tibet Plateau based on ALOS/PALSAR D-InSAR interferometry[J]. Remote Sensing for Land and Resources, 2008, 20(3): 15-19. [谢酬, 李震, 李新武. 基于PALSAR数据的青藏高原冻土形变检测方法研究[J]. 国土资源遥感, 2008, 20(3): 15-19.]

[17] Zebker H A, Rosen P A, Hensley S. Atmospheric effects in interferometric synthetic aperture radar surface deformation and topographic maps[J]. Journal of Geophysical Research: Solid Earth, 1997, 102(B4): 7547-7563.

[18] Berardino P, Fornaroe G, Lanari G, et al. A new algorithm for surface deformation monitoring based on small baseline differential SAR interferograms[J]. IEEE Transactions on Geoscience and Remote Sensing, 2002, 40(11): 2375-2383.

[19] Ferretti A, Prati C, Rocca F. Permanent scatterers in SAR interferometry[J]. IEEE Transactions on Geoscience and Remote Sensing, 2001, 39(1): 8-20.

[20] Hooper A, Zebker H A, Segall P, et al. A new method for measuring deformation on volcanoes and other natural terrains using InSAR persistent scatterers[J/OL]. Geophysical Research Letters, 2004, 31(23) [2018-04-21]. https://doi.org/10.1029/2004GL021737.

[21] Schaefer K, Liu Lin, Parsekian A, et al. Remotely sensed active layer thickness (ReSALT) at Barrow, Alaska using interferometric synthetic aperture radar[J]. Remote Sensing, 2015, 7(4): 3735-3759.

[22] Liu Lin, Schaefer K, Zhang Tingjun, et al. Estimating 1992-2000 average active layer thickness on the Alaskan north slope from remotely sensed surface subsidence[J/OL]. Geophysical Research, 2012, 117(F1) [2018-04-21]. https://doi.org/10.1029/2011jf002041.

[23] Li Shanshan, Li Zhiwei, Hu Jun, et al. Investigation of the seasonal oscillation of the permafrost over Qinghai-Tibet Plateau with SBAS-InSAR algorithm[J]. Chinese Journal of Geographysics, 2013, 56(5): 1476-1486. [李珊珊, 李志伟, 胡俊, 等. SBAS-InSAR技术监测青藏高原季节性冻土形变[J]. 地球物理学报, 2013, 56(5): 1476-1486.]

[24] Daout S, Doin M-P, Peltzer G, et al. Large-scale InSAR monitoring of permafrost freeze-thaw cycles on the Tibetan Plateau[J]. Geophysical Research Letters, 2017, 44(2): 901-909.

[25] Xie Chou, Li Zhen, Xu Ji, et al. Analysis of deformation over permafrost regions of Qinghai-Tibet Plateau based on permanent scatterers[J]. International Journal of Remote Sensing, 2010, 31(8): 1995-2008.

[26] Chen Fulong, Lin Hui, Li Zhen, et al. Interaction between permafrost and infrastructure along the Qinghai-Tibet Railway detected via jointly analysis of C- and L-band small baseline SAR interferometry[J]. Remote Sensing of Environment, 2012, 123(8): 532-540.

[27] Chen Fulong, Lin Hui, Zhou Wei, et al. Surface deformation detected by ALOS PALSAR small baseline SAR interferometry over permafrost environment of Beiluhe section, Tibet Plateau, China[J]. Remote Sensing of Environment, 2013, 138(2): 10-18.

[28] Li Zhen, Tang Panpan, Zhou Jianming, et al. Permafrost environment monitoring on the Qinghai-Tibet Plateau using time series ASAR images[J]. International Journal of Digital Earth, 2014, 8(10): 840-860.

[29] Jia Yuanyuan, Kim Jin-Woo, Shum C K, et al. Characterization of active layer thickening rate over the northern Qinghai-Tibetan Plateau permafrost region using ALOS interferometric synthetic aperture radar data, 2007-2009[J/OL]. Remote Sensing, 2017, 9(1) [2019-05-24]. https://doi.org/10.3390/rs9010084.

[30] Yagüe-Martinez N, Prats-Iraola P, González F R, et al. Interferometric processing of sentinel-1 TOPS data[J]. IEEE Transactions on Geoscience and Remote Sensing, 2016, 54(4): 2220-2234.

[31] Shirzaei M, Bürgmann R, Fielding E J. Applicability of Sentinel-1 Terrain Observation by Progressive Scans multitemporal interferometry for monitoring slow ground motions in the San Francisco Bay Area[J]. Geophysical Research Letters, 2017, 44(6): 2733-2742.

[32] Mackay J R. The growth of pingos, western arctic coast, Canada[J]. Canadian Journal of Earth Sciences, 1973, 10(6): 979-1004.

[33] Li Shanshan. The study of using SBAS to monitor the motion of frozen soil along Qinghai-Tibet Railway[D]. Changsha: Central South University, 2012. [李珊珊. 基于SBAS技术的青藏铁路区冻土形变监测研究[D]. 长沙: 中南大学, 2012.]

[34] Lanari R, Mora O, Mallorqui J J. A small-baseline approach for investigating deformations on full-resolution differential SAR interferograms[J]. IEEE Transactions on Geoscience and Remote Sensing, 2004, 42(7): 1377-1386.

[35] Liao Mingsheng, Wang Teng. Technology and application of time series InSAR[M]. Beijing: Science Press, 2014: 83-86. [廖明生, 王腾. 时间序列InSAR技术与应用[M]. 北京: 科学出版社, 2014: 83-86.]

[36] Pepe A, Lanari R. On the extension of the minimum cost flow algorithm for phase unwrapping of multitemporal differential SAR interferograms[J]. IEEE Transactions on Geoscience and Remote Sensing, 2006, 44(9): 2374-2383.

[37] Goldstein R M, Werner C L. Radar interferogram filtering for geophysical applications[J]. Geophysical Research Letter, 1998, 25(21): 4035-4038.

[38] Nolan M, Fatland D R, Hinzman L. DInSAR measurement of soil moisture[J]. IEEE Transactions on Geoscience and Remote Sensing, 2003, 41(12): 2802-2813.

[39] Li Ren, Zhao Lin, Ding Yongjian, et al. The condition of atmosphere quality over Wudaoliang[J]. Journal of Mountain Science, 2009, 27(4): 411-417. [李韧, 赵林, 丁永建, 等. 长江源区五道梁的大气质量状况[J]. 山地学报, 2009, 27(4): 411-417.]

[40] Zhao Rong, Li Zhiwei, Feng Guangcai, et al. Monitoring surface deformation over permafrost with an improved SBAS-InSAR algorithm: with emphasis on climatic factors modeling[J]. Remote Sensing of Environment, 2016, 184: 276-287.

[41] ADDIN CNKISM.UserStyleYang Meixue, Yao Tandong, Nozomu H, et al. The diurnal freeze-thaw cycles of the surface soils on the Tibetan Plateau[J]. Chinese Science Bulletin, 2006, 51(16): 1974-1976. [杨梅学, 姚檀栋, Nozomu H, 等. 青藏高原表层土壤的日冻融循环[J]. 科学通报, 2006, 51(16): 1974-1976.]

[42] Tian Liming, Zhao Lin, Wu Xiaodong, et al. Vertical patterns and controls of soil nutrients in alpine grassland: implications for nutrient uptake[J]. Science of the Total Environment, 2017, 607/608: 855-864.

[43] Qin Dahe, Yao Tandong, Ding Yongjian, et al. Glossary of cryosphere science[M]. Beijing: China Meteorological Press, 2014: 127-128. [秦大河, 姚檀栋, 丁永建, 等. 冰冻圈科学辞典[M]. 北京: 气象出版社, 2014: 127-128.]

[44] Wang Liyan, Xiao Yi, Jiang Ling, et al. Assessment and analysis of the freeze-thaw erosion sensitivity on the Tibetan Plateau[J]. Journal of Glaciology and Geocryology, 2017, 39(1): 61-69. [王莉雁, 肖燚, 江凌, 等. 青藏高原冻融侵蚀敏感性评价与分析[J]. 冰川冻土, 2017, 39(1): 61-69.]

[45] Yao Tandong, Piao Shilong, Shen Miaogen, et al. Chained impacts on modern environment of interaction between westerlies and Indian monsoon on Tibetan Plateau[J]. Bulletin of Chinese Academy of Sciences, 2017, 32(9): 976-984. [姚檀栋, 朴世龙, 沈妙根, 等. 印度季风与西风相互作用在现代青藏高原产生连锁式环境效应[J]. 中国科学院院刊, 2017, 32(9): 976-984.]

[46] Wang Chao, Zhang Zhengjia, Zhang Hong, et al. Seasonal deformation features on Qinghai-Tibet Railway observed using time-series InSAR technique with high-resolution TerraSAR-X images[J/OL]. Remote Sensing Letters, 2016, 8(1) [2018-04-21]. https://doi.org/10.1080/2150704x.2016.1225170.

[47] Wang Zhijun, Li Shusun. Detection of winter frost heaving of the active layer of Arctic permafrost using SAR differential interferograms[J]. IEEE Transactions on Geoscience and Remote Sensing, 2007, 42(7): 1946-1948.

[48] Short N, Brisco B, Couture N, et al. A comparison of TerraSAR-X, RADARSAT-2 and ALOS-PALSAR interferometry for monitoring permafrost environments, case study from Herschel Island, Canada[J]. Remote Sensing of Environment, 2011, 115(12): 3491-3506.

基于Sentinel-1数据对青藏高原五道梁多年冻土区地面形变的监测与分析

Estimation and analysis of surface deformation in the permafrost area of Wudaoliang based on Sentinel-1 data

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