{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,3]],"date-time":"2026-06-03T05:09:29Z","timestamp":1780463369521,"version":"3.54.1"},"reference-count":54,"publisher":"MDPI AG","issue":"22","license":[{"start":{"date-parts":[[2020,11,14]],"date-time":"2020-11-14T00:00:00Z","timestamp":1605312000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"the National Nature Science Foundation of China","award":["42022053"],"award-info":[{"award-number":["42022053"]}]},{"name":"the National Nature Science Foundation of China","award":["41877220"],"award-info":[{"award-number":["41877220"]}]},{"name":"the National Nature Science Foundation of China","award":["U1702241"],"award-info":[{"award-number":["U1702241"]}]},{"name":"the National Nature Science Foundation of China","award":["41702301"],"award-info":[{"award-number":["41702301"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Residual surface deformation resulting from abandoned mined-out areas can lead to severe damage to ground structures (e.g., buildings and infrastructure in mining areas) and the local ecological environment. Long-term monitoring and analyses of surface deformation characteristics of abandoned mined-out areas are significant for preventing potential disasters. In this study, a detailed field investigation first was conducted in Ying\u2019an and Baoshan coal mines located in Jilin Province, China, to survey mining-induced disasters in the mining areas. Based on the 40 Sentinel-1A images acquired from 14 February 2017 to 17 May 2020, small baseline subset interferometry synthetic aperture radar (SBAS-InSAR) technology was employed to obtain the time-series residual surface deformation. Validation of the SBAS-derived results is performed by comparing with the results obtained via leveling measurements. The root mean square error (RMSE) between SBAS-derived and leveling measurements results was found to be 1.144 mm, reflecting a fairly good agreement. Furthermore, the ordinary Kriging interpolation approach was adopted to obtain information on the deformation across the entire area. The spatial\u2013temporal evolution characteristics of the derived subsidence bowls in multiple mined-out areas were revealed. The deformation characteristics for the abandoned mined-out areas in different periods were not completely consistent. Finally, the potential mechanism underlying the inconsistency in the subsidence associated with underground coal exploitation is analyzed. The findings of this study can provide insights into local construction and ecological improvement as well as guidance for the prediction of deformation in abandoned mined-out areas.<\/jats:p>","DOI":"10.3390\/rs12223752","type":"journal-article","created":{"date-parts":[[2020,11,16]],"date-time":"2020-11-16T21:48:52Z","timestamp":1605563332000},"page":"3752","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":44,"title":["Characteristics of the Residual Surface Deformation of Multiple Abandoned Mined-Out Areas Based on a Field Investigation and SBAS-InSAR: A Case Study in Jilin, China"],"prefix":"10.3390","volume":"12","author":[{"given":"Donghui","family":"Chen","sequence":"first","affiliation":[{"name":"College of Construction Engineering, Jilin University, Changchun 130026, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Huie","family":"Chen","sequence":"additional","affiliation":[{"name":"College of Construction Engineering, Jilin University, Changchun 130026, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wen","family":"Zhang","sequence":"additional","affiliation":[{"name":"College of Construction Engineering, Jilin University, Changchun 130026, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chen","family":"Cao","sequence":"additional","affiliation":[{"name":"College of Construction Engineering, Jilin University, Changchun 130026, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kuanxing","family":"Zhu","sequence":"additional","affiliation":[{"name":"College of Construction Engineering, Jilin University, Changchun 130026, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaoqing","family":"Yuan","sequence":"additional","affiliation":[{"name":"College of Construction Engineering, Jilin University, Changchun 130026, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yanyan","family":"Du","sequence":"additional","affiliation":[{"name":"Liaoning Nonferrous Geological Exploration and Research Institute Co., Shenyang 110013, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2020,11,14]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"59","DOI":"10.1016\/j.ijrmms.2016.11.012","article-title":"The effect of rock mass gradual deterioration on the mechanism of post-mining subsidence over shallow abandoned coal mines","volume":"91","author":"Salmi","year":"2017","journal-title":"Int. J. Rock Mech. Min."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"6","DOI":"10.1016\/j.enggeo.2012.12.003","article-title":"Numerical modelling of shallow abandoned mine working subsidence affecting transport infrastructure","volume":"154","author":"Helm","year":"2013","journal-title":"Eng. Geol."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"1025","DOI":"10.1007\/s10064-017-1108-2","article-title":"Formation and development mechanism of ground crack caused by coal mining: Effects of overlying key strata","volume":"78","author":"Dawei","year":"2019","journal-title":"Bull. Eng. Geol. Environ."},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Pawluszek-Filipiak, K., and Borkowski, A. (2020). Integration of DInSAR and SBAS Techniques to Determine Mining-Related Deformations Using Sentinel-1 Data: The Case Study of Rydu\u0142towy Mine in Poland. Remote Sens., 12.","DOI":"10.3390\/rs12020242"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"5300","DOI":"10.3390\/rs70505300","article-title":"Combination of Conventional and Advanced DInSAR to Monitor Very Fast Mining Subsidence with TerraSAR-X Data: Bytom City (Poland)","volume":"7","author":"Herrera","year":"2015","journal-title":"Remote Sens."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.enggeo.2007.02.007","article-title":"Satellite observation of coal mining subsidence by persistent scatterer analysis","volume":"92","author":"Jung","year":"2007","journal-title":"Eng. Geol."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"1117","DOI":"10.1007\/s10064-015-0834-6","article-title":"Subsidence prediction and susceptibility zonation for collapse above goaf with thick alluvial cover: A case study of the Yongcheng coalfield, Henan Province, China","volume":"75","author":"Zhang","year":"2016","journal-title":"Bull. Eng. Geol. Environ."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"1753","DOI":"10.1007\/s11069-011-9866-9","article-title":"Land subsidence of Jakarta (Indonesia) and its relation with urban development","volume":"59","author":"Abidin","year":"2011","journal-title":"Nat. Hazards"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"2835","DOI":"10.1007\/s00603-018-1726-4","article-title":"Ground Subsidence and Surface Cracks Evolution from Shallow-Buried Close-Distance Multi-seam Mining: A Case Study in Bulianta Coal Mine","volume":"52","author":"Yang","year":"2019","journal-title":"Rock Mech. Rock Eng."},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Zheng, M., Deng, K., Fan, H., and Du, S. (2018). Monitoring and Analysis of Surface Deformation in Mining Area Based on InSAR and GRACE. Remote Sens., 10.","DOI":"10.3390\/rs10091392"},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Zhu, Y., Xing, X., Chen, L., Yuan, Z., and Tang, P. (2019). Ground Subsidence Investigation in Fuoshan, China, Based on SBAS-InSAR Technology with TerraSAR-X Images. Appl. Sci., 9.","DOI":"10.3390\/app9102038"},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Zhou, C., Gong, H., Chen, B., Gao, M., Cao, Q., Cao, J., Duan, L., Zuo, J., and Shi, M. (2020). Land Subsidence Response to Different Land Use Types and Water Resource Utilization in Beijing-Tianjin-Hebei, China. Remote Sens., 12.","DOI":"10.3390\/rs12030457"},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Liu, X., Xing, X., Wen, D., Chen, L., Yuan, Z., Liu, B., and Tan, J. (2019). Mining-Induced Time-Series Deformation Investigation Based on SBAS-InSAR Technique: A Case Study of Drilling Water Solution Rock Salt Mine. Sensors, 19.","DOI":"10.3390\/s19245511"},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Xu, Z., Xu, E., Wu, L., Liu, S., and Mao, Y. (2019). Registration of Terrestrial Laser Scanning Surveys Using Terrain-Invariant Regions for Measuring Exploitative Volumes over Open-Pit Mines. Remote Sens., 11.","DOI":"10.3390\/rs11060606"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.enggeo.2019.02.020","article-title":"National geohazards mapping in Europe: Interferometric analysis of the Netherlands","volume":"256","author":"Gee","year":"2019","journal-title":"Eng. Geol."},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Fan, H., Lu, L., and Yao, Y. (2018). Method Combining Probability Integration Model and a Small Baseline Subset for Time Series Monitoring of Mining Subsidence. Remote Sens., 10.","DOI":"10.3390\/rs10091444"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"259","DOI":"10.14358\/PERS.73.3.259","article-title":"Mine subsidence monitoring using multi-source satellite SAR images","volume":"73","author":"Ge","year":"2007","journal-title":"Photogramm. Eng. Remote Sens."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"9183","DOI":"10.1029\/JB094iB07p09183","article-title":"Mapping small elevation changes over large areas: Differential radar interferometry","volume":"94","author":"Gabriel","year":"1989","journal-title":"J. Geophys. Res."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"148","DOI":"10.1016\/j.enggeo.2007.01.001","article-title":"Advanced DInSAR analysis on mining areas: La Union case study (Murcia, SE Spain)","volume":"90","author":"Herrera","year":"2007","journal-title":"Eng. Geol."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"161","DOI":"10.1016\/j.jog.2009.10.011","article-title":"Recent advances on surface ground deformation measurement by means of repeated space-borne SAR observations","volume":"49","author":"Prati","year":"2010","journal-title":"J. Geodyn."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"661","DOI":"10.1109\/LGRS.2010.2098845","article-title":"Tomographic Imaging and Monitoring of Buildings With Very High Resolution SAR Data","volume":"8","author":"Reale","year":"2011","journal-title":"IEEE Geosci. Remote Sens."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"6198","DOI":"10.3390\/rs5126198","article-title":"Landslide Activity Maps Generation by Means of Persistent Scatterer Interferometry","volume":"5","author":"Bianchini","year":"2013","journal-title":"Remote Sens."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"473","DOI":"10.1007\/s10346-016-0722-6","article-title":"Combined use of statistical and DInSAR data analyses to define the state of activity of slow-moving landslides","volume":"14","author":"Calvello","year":"2017","journal-title":"Landslides"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"31","DOI":"10.1016\/j.rse.2012.09.020","article-title":"Multi-sensor advanced DInSAR monitoring of very slow landslides: The Tena Valley case study (Central Spanish Pyrenees)","volume":"128","author":"Herrera","year":"2013","journal-title":"Remote Sens. Environ."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"1341","DOI":"10.5194\/nhess-14-1341-2014","article-title":"Subsidence activity maps derived from DInSAR data: Orihuela case study","volume":"14","author":"Sanabria","year":"2014","journal-title":"Nat. Hazard. Earth Syst. Sci."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"146","DOI":"10.1016\/j.rse.2011.09.005","article-title":"Monitoring land subsidence and its induced geological hazard with Synthetic Aperture Radar Interferometry: A case study in Morelia, Mexico","volume":"117","author":"Cigna","year":"2012","journal-title":"Remote Sens. Environ."},{"key":"ref_27","doi-asserted-by":"crossref","unstructured":"Du, S., Feng, G., Wang, J., Feng, S., Malekian, R., and Li, Z. (2019). A New Machine-Learning Prediction Model for Slope Deformation of an Open-Pit Mine: An Evaluation of Field Data. Energies, 12.","DOI":"10.3390\/en12071288"},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"71","DOI":"10.1109\/MGRS.2019.2954824","article-title":"Use of SAR\/InSAR in Mining Deformation Monitoring, Parameter Inversion, and Forward Predictions: A Review","volume":"8","author":"Yang","year":"2020","journal-title":"IEEE Geosci. Remote Sens. Mag."},{"key":"ref_29","doi-asserted-by":"crossref","unstructured":"Anantrasirichai, N., Biggs, J., Kelevitz, K., Sadeghi, Z., Wright, T., Thompson, J., Achim, A.M., and Bull, D. (2020). Detecting Ground Deformation in the Built Environment Using Sparse Satellite InSAR Data with a Convolutional Neural Network. IEEE Trans. Geosci. Remote Sens., 1\u201311.","DOI":"10.31223\/OSF.IO\/PW2GS"},{"key":"ref_30","first-page":"102115","article-title":"Calculating vertical deformation using a single InSAR pair based on singular value decomposition in mining areas","volume":"92","author":"Ren","year":"2020","journal-title":"Int. J. Appl. Earth Obs."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"8","DOI":"10.1109\/36.898661","article-title":"Permanent Scatterers in SAR Interferometry","volume":"39","author":"Ferretti","year":"2001","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"2375","DOI":"10.1109\/TGRS.2002.803792","article-title":"A new algorithm for surface deformation monitoring based on small baseline differential SAR interferograms","volume":"40","author":"Berardino","year":"2002","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"3529","DOI":"10.1109\/TGRS.2013.2273374","article-title":"A Novel Multitemporal InSAR Model for Joint Estimation of Deformation Rates and Orbital Errors","volume":"52","author":"Zhang","year":"2014","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_34","doi-asserted-by":"crossref","unstructured":"Yang, K., Yan, L., Huang, G., Chen, C., and Wu, Z. (2016). Monitoring Building Deformation with InSAR: Experiments and Validation. Sensors, 16.","DOI":"10.3390\/s16122182"},{"key":"ref_35","first-page":"142","article-title":"Ground deformation associated with post-mining activity at the French\u2013German border revealed by novel InSAR time series method","volume":"23","author":"Samsonov","year":"2013","journal-title":"Int. J. Appl. Earth Obs."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"27","DOI":"10.1016\/j.ijrmms.2015.05.003","article-title":"Surface stepped subsidence related to top-coal caving longwall mining of extremely thick coal seam under shallow cover","volume":"78","author":"Ju","year":"2015","journal-title":"Int. J. Rock Mech. Min."},{"key":"ref_37","unstructured":"Brady, B.H.G., and Brown, E.T. (2004). Rock Mechanics for Underground Mining, Springer Science & Business Media."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"203","DOI":"10.1016\/j.catena.2013.03.011","article-title":"Surface processes and interactions with forest vegetation on a steep mudstone slope, Sto\u0142owe Mountains, SW Poland","volume":"109","author":"Pawlik","year":"2013","journal-title":"Catena"},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"271","DOI":"10.1007\/s11069-016-2427-5","article-title":"Linking land subsidence over the Yellow River delta, China, to hydrocarbon exploitation using multi-temporal InSAR","volume":"84","author":"Liu","year":"2016","journal-title":"Nat. Hazards"},{"key":"ref_40","doi-asserted-by":"crossref","unstructured":"Zhou, L., Guo, J., Hu, J., Li, J., Xu, Y., Pan, Y., and Shi, M. (2017). Wuhan Surface Subsidence Analysis in 2015\u20132016 Based on Sentinel-1A Data by SBAS-InSAR. Remote Sens., 9.","DOI":"10.3390\/rs9100982"},{"key":"ref_41","doi-asserted-by":"crossref","unstructured":"Wu, Q., Jia, C., Chen, S., and Li, H. (2019). SBAS-InSAR Based Deformation Detection of Urban Land, Created from Mega-Scale Mountain Excavating and Valley Filling in the Loess Plateau: The Case Study of Yan\u2019an City. Remote Sens., 11.","DOI":"10.3390\/rs11141673"},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"166","DOI":"10.1007\/s12665-018-7353-2","article-title":"Assessment of mining-induced damage to structures using InSAR time series analysis: A case study of Jiulong Mine, China","volume":"77","author":"Diao","year":"2018","journal-title":"Environ. Earth Sci."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"677","DOI":"10.1007\/s12665-013-2990-y","article-title":"Time-series analysis of subsidence associated with rapid urbanization in Shanghai, China measured with SBAS InSAR method","volume":"72","author":"Dong","year":"2014","journal-title":"Environ. Earth Sci."},{"key":"ref_44","first-page":"1962","article-title":"Study of influence functions of surface residual movement and deformation above old goaf","volume":"33","author":"Zhu","year":"2014","journal-title":"J. Rock Mech. Eng."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"56","DOI":"10.1016\/j.catena.2013.09.006","article-title":"A tutorial guide to geostatistics: Computing and modelling variograms and kriging","volume":"113","author":"Oliver","year":"2014","journal-title":"Catena"},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"2034","DOI":"10.2514\/1.J051017","article-title":"Metamodeling Method Using Dynamic Kriging for Design Optimization","volume":"49","author":"Zhao","year":"2011","journal-title":"AIAA J."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"210","DOI":"10.1007\/s12665-020-08905-8","article-title":"Groundwater quality assessment of Birjand plain aquifer using kriging estimation and sequential Gaussian simulation methods","volume":"79","author":"Aryafar","year":"2020","journal-title":"Environ. Earth Sci."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"110641","DOI":"10.1016\/j.engstruct.2020.110641","article-title":"Prediction method of bridge static load test results based on Kriging model","volume":"214","author":"Lu","year":"2020","journal-title":"Eng. Struct."},{"key":"ref_49","doi-asserted-by":"crossref","unstructured":"Tao, Z., Cui, X., Sun, X., Wang, J., Liu, K., and Chen, H. (2020). Rock mass quality prediction of open-pit gold mine slope based on the Kriging interpolation method. Geotech. Geol. Eng.","DOI":"10.1007\/s10706-020-01397-0"},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"104632","DOI":"10.1016\/j.catena.2020.104632","article-title":"Application of predictor variables in spatial quantification of soil organic carbon and total nitrogen using regression kriging in the North Kashmir forest Himalayas","volume":"193","author":"Bangroo","year":"2020","journal-title":"Catena"},{"key":"ref_51","doi-asserted-by":"crossref","unstructured":"Montero, J.M., Fern\u00e1ndez-Avil\u00e9s, G., and Mateu, J. (2015). Spatial and Spatio-Temporal Geostatistical Modeling and Kriging, John Wiley & Sons, Ltd.","DOI":"10.1002\/9781118762387"},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"277","DOI":"10.1016\/j.rse.2006.11.015","article-title":"Surface deformation of Long Valley caldera and Mono Basin, California, investigated with the SBAS-InSAR approach","volume":"108","author":"Tizzani","year":"2007","journal-title":"Remote Sens. Environ."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"1476","DOI":"10.3390\/rs6021476","article-title":"Evaluation of InSAR and TomoSAR for Monitoring Deformations Caused by Mining in a Mountainous Area with High Resolution Satellite-Based SAR","volume":"6","author":"Liu","year":"2014","journal-title":"Remote Sens."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"151","DOI":"10.1007\/s12665-015-4958-6","article-title":"Void fraction distribution in overburden disturbed by longwall mining of coal","volume":"75","author":"Wang","year":"2016","journal-title":"Environ. Earth Sci."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/12\/22\/3752\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T10:33:30Z","timestamp":1760178810000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/12\/22\/3752"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,11,14]]},"references-count":54,"journal-issue":{"issue":"22","published-online":{"date-parts":[[2020,11]]}},"alternative-id":["rs12223752"],"URL":"https:\/\/doi.org\/10.3390\/rs12223752","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,11,14]]}}}