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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Detalhes bibliográficos
Autores: Zhang, Yuxuan, Wang, Yunjia, Huo, Wenqi, Zhao, Feng, Hu, Zhongbo, Wang, Teng|||0000-0003-3705-9770, Song, Rui, Liu, Jinglong, Zhang, Leixin, Fernández Torres, José, Escayo Menéndez, Joaquín, Cao, Eei, Yan, Jun
Formato: artículo
Fecha de publicación:2023
País:España
Recursos:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/391623
Acesso em linha:https://hdl.handle.net/2117/391623
https://dx.doi.org/10.3390/rs15051444
Access Level:acceso abierto
Palavra-chave:Remote sensing
Coal fire detection
Atmospheric correction
Stacking-InSAR
Ground deformation
Teledetecció
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació
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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, Teng|||0000-0003-3705-9770Song, RuiLiu, JinglongZhang, LeixinFernández Torres, JoséEscayo Menéndez, JoaquínCao, EeiYan, JunRemote sensingCoal fire detectionAtmospheric correctionStacking-InSARGround deformationTeledeteccióÀrees temàtiques de la UPC::Enginyeria de la telecomunicacióUnderground 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 (PID2021-122142OB- I00) 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 Institute (MDPI)20232023-03-0120232023-07-18journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/2117/391623https://dx.doi.org/10.3390/rs15051444reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/3916232026-05-27T15:37:01Z
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
Remote sensing
Coal fire detection
Atmospheric correction
Stacking-InSAR
Ground deformation
Teledetecció
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació
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|||0000-0003-3705-9770
Song, Rui
Liu, Jinglong
Zhang, Leixin
Fernández Torres, José
Escayo Menéndez, Joaquín
Cao, Eei
Yan, Jun
author Zhang, Yuxuan
author_facet Zhang, Yuxuan
Wang, Yunjia
Huo, Wenqi
Zhao, Feng
Hu, Zhongbo
Wang, Teng|||0000-0003-3705-9770
Song, Rui
Liu, Jinglong
Zhang, Leixin
Fernández Torres, José
Escayo Menéndez, Joaquín
Cao, Eei
Yan, Jun
author_role author
author2 Wang, Yunjia
Huo, Wenqi
Zhao, Feng
Hu, Zhongbo
Wang, Teng|||0000-0003-3705-9770
Song, Rui
Liu, Jinglong
Zhang, Leixin
Fernández Torres, José
Escayo Menéndez, Joaquín
Cao, Eei
Yan, Jun
author2_role author
author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Remote sensing
Coal fire detection
Atmospheric correction
Stacking-InSAR
Ground deformation
Teledetecció
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació
topic Remote sensing
Coal fire detection
Atmospheric correction
Stacking-InSAR
Ground deformation
Teledetecció
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació
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
2023-03-01
2023
2023-07-18
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/2117/391623
https://dx.doi.org/10.3390/rs15051444
url https://hdl.handle.net/2117/391623
https://dx.doi.org/10.3390/rs15051444
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Multidisciplinary Digital Publishing Institute (MDPI)
publisher.none.fl_str_mv Multidisciplinary Digital Publishing Institute (MDPI)
dc.source.none.fl_str_mv reponame:UPCommons. Portal del coneixement obert de la UPC
instname:Universitat Politècnica de Catalunya (UPC)
instname_str Universitat Politècnica de Catalunya (UPC)
reponame_str UPCommons. Portal del coneixement obert de la UPC
collection UPCommons. Portal del coneixement obert de la UPC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,300719

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