{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,18]],"date-time":"2026-03-18T13:25:39Z","timestamp":1773840339297,"version":"3.50.1"},"reference-count":63,"publisher":"MDPI AG","issue":"23","license":[{"start":{"date-parts":[[2019,12,2]],"date-time":"2019-12-02T00:00:00Z","timestamp":1575244800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["41801348,  61801443,  41771467"],"award-info":[{"award-number":["41801348,  61801443,  41771467"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"the  Open  Research  Fund  of  Key  Laboratory  of  Digital  Earth  Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences","award":["No. 2017LDE006"],"award-info":[{"award-number":["No. 2017LDE006"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>As the highest elevation permafrost region in the world, the Qinghai-Tibet Plateau (QTP) permafrost is quickly degrading due to global warming, climate change and human activities. The Qinghai-Tibet Engineering Corridor (QTEC), located in the QTP tundra, is of growing interest due to the increased infrastructure development in the remote QTP area. The ground, including the embankment of permafrost engineering, is prone to instability, primarily due to the seasonal freezing and thawing cycles and increase in human activities. In this study, we used ERS-1 (1997\u20131999), ENVISAT (2004\u20132010) and Sentinel-1A (2015\u20132018) images to assess the ground deformation along QTEC using time-series InSAR. We present a piecewise deformation model including periodic deformation related to seasonal components and interannual linear subsidence trends was presented. Analysis of the ERS-1 result show ground deformation along QTEC ranged from \u22125 to +5 mm\/year during the 1997\u20131999 observation period. For the ENVISAT and Sentinel-1A results, the estimated deformation rate ranged from \u221220 to +10 mm\/year. Throughout the whole observation period, most of the QTEC appeared to be stable. Significant ground deformation was detected in three sections of the corridor in the Sentinel-1A results. An analysis of the distribution of the thaw slumping region in the Tuotuohe area reveals that ground deformation was associated with the development of thaw slumps in one of the three sections. This research indicates that the InSAR technique could be crucial for monitoring the ground deformation along QTEC.<\/jats:p>","DOI":"10.3390\/s19235306","type":"journal-article","created":{"date-parts":[[2019,12,3]],"date-time":"2019-12-03T04:58:39Z","timestamp":1575349119000},"page":"5306","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":55,"title":["Permafrost Deformation Monitoring Along the Qinghai-Tibet Plateau Engineering Corridor Using InSAR Observations with Multi-Sensor SAR Datasets from 1997\u20132018"],"prefix":"10.3390","volume":"19","author":[{"given":"Zhengjia","family":"Zhang","sequence":"first","affiliation":[{"name":"School of Geography and Information Engineering, China University of Geosciences, 388 Lumo Road, Wuhan 430074, China"},{"name":"Artificial Intelligence School, Wuchang University of Technology, No. 16 Jiangxia Avenue, Wuhan 430223, China"}]},{"given":"Mengmeng","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Geography and Information Engineering, China University of Geosciences, 388 Lumo Road, Wuhan 430074, China"}]},{"given":"Zhijie","family":"Wu","sequence":"additional","affiliation":[{"name":"College of Resources Engineering, Longyan University, Longyan 264012, China"}]},{"given":"Xiuguo","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Geography and Information Engineering, China University of Geosciences, 388 Lumo Road, Wuhan 430074, China"}]}],"member":"1968","published-online":{"date-parts":[[2019,12,2]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"3491","DOI":"10.1016\/j.rse.2011.08.012","article-title":"A comparison of Terrasar-x, Radarsat-2 and ALOS-PALSAR interferometry for monitoring permafrost environments, case study from Herschel Island, Canada","volume":"115","author":"Short","year":"2011","journal-title":"Remote Sens. 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