Ground Deformation Monitoring over Xinjiang Coal Fire Area by an Adaptive ERA5-Corrected Stacking-InSAR Method

Underground coal fire is a global geological disaster that causes the loss of resources as well as environmental pollution. Xinjiang, China, is one of the regions suffering from serious underground coal fires. The accurate monitoring of underground coal fires is critical for management and extinguis...

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Autores: Zhang, Yuxuan, Wang, Yunjia, Huo, Wenqi, Zhao, Feng, Hu, Zhongbo, Wang, Teng, Song, Rui, Liu, Jinglong, Zhang, Leixin, Fernández, José, Escayo, Joaquin, Cao, Fei, Yan, Jun
Tipo de recurso: artículo
Fecha de publicación:2023
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/339783
Acceso en línea:http://hdl.handle.net/10261/339783
https://api.elsevier.com/content/abstract/scopus_id/85149951973
Access Level:acceso abierto
Palabra clave:atmospheric correction | coal fire detection | ground deformation | Stacking-InSAR
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spelling Ground Deformation Monitoring over Xinjiang Coal Fire Area by an Adaptive ERA5-Corrected Stacking-InSAR MethodZhang, YuxuanWang, YunjiaHuo, WenqiZhao, FengHu, ZhongboWang, TengSong, RuiLiu, JinglongZhang, LeixinFernández, JoséEscayo, JoaquinCao, FeiYan, Junatmospheric correction | coal fire detection | ground deformation | Stacking-InSARUnderground coal fire is a global geological disaster that causes the loss of resources as well as environmental pollution. Xinjiang, China, is one of the regions suffering from serious underground coal fires. The accurate monitoring of underground coal fires is critical for management and extinguishment, and many remote sensing-based approaches have been developed for monitoring over large areas. Among them, the multi-temporal interferometric synthetic aperture radar (MT-InSAR) techniques have been recently employed for underground coal fires-related ground deformation monitoring. However, MT-InSAR involves a relatively high computational cost, especially when the monitoring area is large. We propose to use a more cost-efficient Stacking-InSAR technique to monitor ground deformation over underground coal fire areas in this study. Considering the effects of atmosphere on Stacking-InSAR, an ERA5 data-based estimation model is employed to mitigate the atmospheric phase of interferograms before stacking. Thus, an adaptive ERA5-Corrected Stacking-InSAR method is proposed in this study, and it is tested over the Fukang coal fire area in Xinjiang, China. Based on original and corrected interferograms, four groups of ground deformation results were obtained, and the possible coal fire areas were identified. In this paper, the ERA5 atmospheric delay products based on the estimation model along the LOS direction (D-LOS) effectively mitigate the atmospheric phase. The accuracy of ground deformation monitoring over a coal fire area has been improved by the proposed method choosing interferograms adaptively for stacking. The proposed Adaptive ERA5-Corrected Stacking-InSAR method can be used for efficient ground deformation monitoring over large coal fire areas.This research was supported in part by the National Natural Science Foundation of China (Grant No.41874044 and Grant No. 42004011), in part by project G2HOTSPOTS (PID2021-122142OBI00) from the MCIN /AEI /10.13039 /501100011033 /FEDER, UE and in part by China Postdoctoral Science Foundation (Grant No. 2020M671646). At the same time, the research was also funded by the Construction Program of Space-Air-Ground-Well Cooperative Awareness Spatial Information Project (B20046) and National Key R&D Program of China (Grant No. 2022YFE0102600).Peer reviewedMultidisciplinary Digital Publishing InstituteNational Natural Science Foundation of ChinaMinisterio de Ciencia e Innovación (España)0009-0009-2733-55250000-0001-8750-53400000-0003-2172-05950000-0002-7322-28220000-0003-1979-55120000-0002-9167-29660000-0001-5745-35270000-0002-4394-5018Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202320232023info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501http://hdl.handle.net/10261/339783https://api.elsevier.com/content/abstract/scopus_id/85149951973reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Inglés#PLACEHOLDER_PARENT_METADATA_VALUE#info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2021-122142OB-I00Remote SensingSíinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/3397832026-05-22T06:33:51Z
dc.title.none.fl_str_mv Ground Deformation Monitoring over Xinjiang Coal Fire Area by an Adaptive ERA5-Corrected Stacking-InSAR Method
title Ground Deformation Monitoring over Xinjiang Coal Fire Area by an Adaptive ERA5-Corrected Stacking-InSAR Method
spellingShingle Ground Deformation Monitoring over Xinjiang Coal Fire Area by an Adaptive ERA5-Corrected Stacking-InSAR Method
Zhang, Yuxuan
atmospheric correction | coal fire detection | ground deformation | Stacking-InSAR
title_short Ground Deformation Monitoring over Xinjiang Coal Fire Area by an Adaptive ERA5-Corrected Stacking-InSAR Method
title_full Ground Deformation Monitoring over Xinjiang Coal Fire Area by an Adaptive ERA5-Corrected Stacking-InSAR Method
title_fullStr Ground Deformation Monitoring over Xinjiang Coal Fire Area by an Adaptive ERA5-Corrected Stacking-InSAR Method
title_full_unstemmed Ground Deformation Monitoring over Xinjiang Coal Fire Area by an Adaptive ERA5-Corrected Stacking-InSAR Method
title_sort Ground Deformation Monitoring over Xinjiang Coal Fire Area by an Adaptive ERA5-Corrected Stacking-InSAR Method
dc.creator.none.fl_str_mv Zhang, Yuxuan
Wang, Yunjia
Huo, Wenqi
Zhao, Feng
Hu, Zhongbo
Wang, Teng
Song, Rui
Liu, Jinglong
Zhang, Leixin
Fernández, José
Escayo, Joaquin
Cao, Fei
Yan, Jun
author Zhang, Yuxuan
author_facet Zhang, Yuxuan
Wang, Yunjia
Huo, Wenqi
Zhao, Feng
Hu, Zhongbo
Wang, Teng
Song, Rui
Liu, Jinglong
Zhang, Leixin
Fernández, José
Escayo, Joaquin
Cao, Fei
Yan, Jun
author_role author
author2 Wang, Yunjia
Huo, Wenqi
Zhao, Feng
Hu, Zhongbo
Wang, Teng
Song, Rui
Liu, Jinglong
Zhang, Leixin
Fernández, José
Escayo, Joaquin
Cao, Fei
Yan, Jun
author2_role author
author
author
author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv National Natural Science Foundation of China
Ministerio de Ciencia e Innovación (España)
0009-0009-2733-5525
0000-0001-8750-5340
0000-0003-2172-0595
0000-0002-7322-2822
0000-0003-1979-5512
0000-0002-9167-2966
0000-0001-5745-3527
0000-0002-4394-5018
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv atmospheric correction | coal fire detection | ground deformation | Stacking-InSAR
topic atmospheric correction | coal fire detection | ground deformation | Stacking-InSAR
description Underground coal fire is a global geological disaster that causes the loss of resources as well as environmental pollution. Xinjiang, China, is one of the regions suffering from serious underground coal fires. The accurate monitoring of underground coal fires is critical for management and extinguishment, and many remote sensing-based approaches have been developed for monitoring over large areas. Among them, the multi-temporal interferometric synthetic aperture radar (MT-InSAR) techniques have been recently employed for underground coal fires-related ground deformation monitoring. However, MT-InSAR involves a relatively high computational cost, especially when the monitoring area is large. We propose to use a more cost-efficient Stacking-InSAR technique to monitor ground deformation over underground coal fire areas in this study. Considering the effects of atmosphere on Stacking-InSAR, an ERA5 data-based estimation model is employed to mitigate the atmospheric phase of interferograms before stacking. Thus, an adaptive ERA5-Corrected Stacking-InSAR method is proposed in this study, and it is tested over the Fukang coal fire area in Xinjiang, China. Based on original and corrected interferograms, four groups of ground deformation results were obtained, and the possible coal fire areas were identified. In this paper, the ERA5 atmospheric delay products based on the estimation model along the LOS direction (D-LOS) effectively mitigate the atmospheric phase. The accuracy of ground deformation monitoring over a coal fire area has been improved by the proposed method choosing interferograms adaptively for stacking. The proposed Adaptive ERA5-Corrected Stacking-InSAR method can be used for efficient ground deformation monitoring over large coal fire areas.
publishDate 2023
dc.date.none.fl_str_mv 2023
2023
2023
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/339783
https://api.elsevier.com/content/abstract/scopus_id/85149951973
url http://hdl.handle.net/10261/339783
https://api.elsevier.com/content/abstract/scopus_id/85149951973
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv #PLACEHOLDER_PARENT_METADATA_VALUE#
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2021-122142OB-I00
Remote Sensing
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Multidisciplinary Digital Publishing Institute
publisher.none.fl_str_mv Multidisciplinary Digital Publishing Institute
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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