{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,15]],"date-time":"2025-12-15T14:04:22Z","timestamp":1765807462435,"version":"build-2065373602"},"reference-count":40,"publisher":"MDPI AG","issue":"7","license":[{"start":{"date-parts":[[2017,7,12]],"date-time":"2017-07-12T00:00:00Z","timestamp":1499817600000},"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":["41431179","41601446"],"award-info":[{"award-number":["41431179","41601446"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"National Key Research and Development Program of China under Grant numbers","award":["2016YFB0502501"],"award-info":[{"award-number":["2016YFB0502501"]}]},{"name":"The State Oceanic Administration under Grant numbers","award":["[2014]#58"],"award-info":[{"award-number":["[2014]#58"]}]},{"DOI":"10.13039\/501100006606","name":"Tianjin Natural Science Foundation","doi-asserted-by":"publisher","award":["16JCQNJC01200"],"award-info":[{"award-number":["16JCQNJC01200"]}],"id":[{"id":"10.13039\/501100006606","id-type":"DOI","asserted-by":"publisher"}]},{"name":"the Key Laboratory of Mapping from Space, National Administration of Surveying, Mapping and Geoinformation","award":["K201408"],"award-info":[{"award-number":["K201408"]}]},{"name":"Guangxi Key Laboratory of Spatial Information and Geomatics","award":["13-051-14-16"],"award-info":[{"award-number":["13-051-14-16"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Synthetic Aperture Radar Interferometry (InSAR), widely applied for the monitoring of land subsidence, has the advantage of high accuracy and wide coverage. High-resolution SAR data offers a chance to reveal impressive details of large-scale man-made linear features (LMLFs) with Multi-temporal InSAR (MT-InSAR) analysis. Despite these advantages, research validating high-resolution MT-InSAR results along high-speed railways with high spatial and temporal density leveling data is limited. This paper explored the monitoring ability of high-resolution MT-InSAR in an experiment along Jingjin Inter-City Railway, located in Tianjin, China. Validation between these MT-InSAR results and a high spatial\/temporal density leveling measurement was conducted. A total of 37 TSX images spanning half a year were processed for MT-InSAR analysis. The distance between two consecutive leveling points is 60 m along Jingjin Inter-City railway and the time interval of the study was about one month. The Root Mean Square Error (RMSE) index of average subsidence rate comparison between MT-InSAR results and leveling data was 3.28 mm\/yr, with 34 points, and that of the displacement comparison was 2.90 mm with 464 valid observations. The experimental results along Jingjin Inter-City railway showed a high correlation between these two distinct measurements. These analyses show that millimeter accuracy can be achieved with MT-InSAR analysis when monitoring subsidence along a high-speed railway. We discuss the possible reason for the subsiding center, and the characteristics of both leveling and MT-InSAR results. We propose further planning for the monitoring of subsidence over LMLFs.<\/jats:p>","DOI":"10.3390\/rs9070717","type":"journal-article","created":{"date-parts":[[2017,7,12]],"date-time":"2017-07-12T10:36:12Z","timestamp":1499855772000},"page":"717","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":32,"title":["Monitoring of Subsidence along Jingjin Inter-City Railway with High-Resolution TerraSAR-X MT-InSAR Analysis"],"prefix":"10.3390","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0375-9947","authenticated-orcid":false,"given":"Qingli","family":"Luo","sequence":"first","affiliation":[{"name":"The Center for Remote Sensing, Tianjin University, No. 92, Weijin Road, Nankai District, Tianjin 300072, China"},{"name":"Guangxi Key Laboratory for Spatial Information and Geomatics, Guilin University of Technology, Guilin 541004, China"}]},{"given":"Guoqing","family":"Zhou","sequence":"additional","affiliation":[{"name":"Guangxi Key Laboratory for Spatial Information and Geomatics, Guilin University of Technology, Guilin 541004, China"}]},{"given":"Daniele","family":"Perissin","sequence":"additional","affiliation":[{"name":"School of Civil Engineering, Purdue University, 550 Stadium Mall Drive, West Lafayette, IN 47907-2051, USA"}]}],"member":"1968","published-online":{"date-parts":[[2017,7,12]]},"reference":[{"key":"ref_1","first-page":"101","article-title":"Design and Application of an Automatic System for Land-subsidence and Water Table Monitoring in Tianjin City","volume":"29","author":"Yu","year":"2007","journal-title":"Ground Water"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"144","DOI":"10.1016\/j.cageo.2016.02.001","article-title":"Spatial analysis for susceptibility of second-time karst sinkholes: A case study of Jili Village in Guangxi, China","volume":"89","author":"Zhou","year":"2016","journal-title":"Comput. 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