Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/91985
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dc.contributorDepartment of Land Surveying and Geo-Informatics-
dc.creatorZhang, B-
dc.creatorWu, S-
dc.creatorDing, X-
dc.creatorWang, C-
dc.creatorZhu, J-
dc.creatorLi, Q-
dc.date.accessioned2022-02-07T07:04:47Z-
dc.date.available2022-02-07T07:04:47Z-
dc.identifier.urihttp://hdl.handle.net/10397/91985-
dc.language.isoenen_US
dc.publisherMolecular Diversity Preservation International (MDPI)en_US
dc.rights© 2021 by the authors.Licensee MDPI, Basel, Switzerland.This article is an open access articledistributed under the terms andconditions of the Creative CommonsAttribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).en_US
dc.rightsThe following publication Zhang, B.; Wu, S.; Ding, X.;Wang, C.; Zhu, J.; Li, Q. Use ofMultiplatform SAR Imagery inMining Deformation Monitoring withDense Vegetation Coverage: A CaseStudy in the Fengfeng Mining Area,China. Remote Sens. 2021, 13, 3091 is available at https://doi.org/10.3390/rs13163091en_US
dc.subjectDense vegetationen_US
dc.subjectFengfeng mineen_US
dc.subjectMining deformation monitoringen_US
dc.subjectMSBASen_US
dc.subjectMultiplatform SAR dataen_US
dc.titleUse of multiplatform SAR imagery in mining deformation monitoring with dense vegetation coverage : a case study in the Fengfeng mining area, Chinaen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume13-
dc.identifier.issue16-
dc.identifier.doi10.3390/rs13163091-
dcterms.abstractGround deformation related to mining activities may occur immediately or many years later, leading to a series of mine geological disasters, such as ground fissures, collapses, and even mining earthquakes. Deformation monitoring has been carried out with techniques, such as multitemporal interferometric synthetic aperture radar (MTInSAR). Over the past decade, MTInSAR has been widely used in monitoring mining deformation, and it is still difficult to retrieve mining deformation over dense vegetation areas. In this study, we use multiple-platform SAR images to retrieve mining deformation over dense vegetation areas. The high-quality interferograms are selected by the coherence map, and the mining deformation is retrieved by the MSBAS-InSAR technique. SAR images from TerraSAR-X, Sentinel-1A, Radarsat-2, and PALSAR-2 over the Fengfeng mining area, Heibei, China, are used to retrieve the deformation of mining activities covered with dense vegetation. The results show that the subsidence in the Fengfeng mining area reaches up to 90 cm over the period from July 2015 to April 2016. The root-mean-square error (RMSE) between the results from InSAR and leveling is 83.5 mm/yr at two mining sites, i.e., Wannian and Jiulong Mines.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationRemote sensing, Aug. 2021, v. 13, no. 16, 3091-
dcterms.isPartOfRemote sensing-
dcterms.issued2021-08-
dc.identifier.scopus2-s2.0-85112247030-
dc.identifier.eissn2072-4292-
dc.identifier.artn3091-
dc.description.validate202202 bcvc-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_Scopus/WOSen_US
dc.description.fundingSourceRGCen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextThis research was supported the National Key Research and Development Program of China (2018YFB2101005), the Guangdong Basic and Applied Basic Research Foundation (No. 2021A1515011427), the Research Grants Council (RGC) of Hong Kong (PolyU 152232/17E, PolyU 152164/18E, and PolyU 15223319/19E), the Research Institute for Sustainable Urban Development (RISUD) (1-BBWB), the National Natural Science Foundation of China (41974006), the Shenzhen Scientific Research and Development Funding Program (JCYJ20200807110745001, KQJSCX20180328093 453763, and JCYJ20180305125101282), the Research Program from the Department of Education of Guangdong Province (grant No. 2018KTSCX196), and the National Administration of Surveying, Mapping and Geoinformation of China (Grant 201412016).en_US
dc.description.pubStatusPublisheden_US
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