Accuracy Verification and Correction of D-InSAR and SBAS-InSAR in Monitoring Mining Surface Subsidence

The accuracy of InSAR in monitoring mining surface subsidence is always a matter of concern for surveyors. Taking a mining area in Shandong Province, China, as the study area, D-InSAR and SBAS-InSAR were used to obtain the cumulative subsidence of a mining area over a multi-period, which was compare...

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Autores principales: Yang Chen, Shengwen Yu, Qiuxiang Tao, Guolin Liu, Luyao Wang, Fengyun Wang
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Lenguaje:EN
Publicado: MDPI AG 2021
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Acceso en línea:https://doaj.org/article/4ca1465c97204aae976123d299e01a8a
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spelling oai:doaj.org-article:4ca1465c97204aae976123d299e01a8a2021-11-11T18:54:44ZAccuracy Verification and Correction of D-InSAR and SBAS-InSAR in Monitoring Mining Surface Subsidence10.3390/rs132143652072-4292https://doaj.org/article/4ca1465c97204aae976123d299e01a8a2021-10-01T00:00:00Zhttps://www.mdpi.com/2072-4292/13/21/4365https://doaj.org/toc/2072-4292The accuracy of InSAR in monitoring mining surface subsidence is always a matter of concern for surveyors. Taking a mining area in Shandong Province, China, as the study area, D-InSAR and SBAS-InSAR were used to obtain the cumulative subsidence of a mining area over a multi-period, which was compared with the mining progress of working faces. Then dividing the mining area into regions with different magnitudes of subsidence according to the actual mining situation, the D-InSAR-, SBAS-InSAR- and leveling-monitored results of different subsidence magnitudes were compared and the Pearson correlation coefficients between them were calculated. The results show that InSAR can accurately detect the location, range, spatial change trend, and basin edge information of the mining subsidence. However, InSAR has insufficient capability to detect the subsidence center, having high displacement rates, and its monitored results are quite different from those of leveling. To solve this problem, the distance from each leveling point to the subsidence center was calculated according to the layout of the rock movement observation line. Besides, the InSAR-monitored error at each leveling point was also calculated. Then, according to the internal relationship between these distances and corresponding InSAR-monitored errors, a correction model of InSAR-monitored results was established. Using this relationship to correct the InSAR-monitored results, results consistent with the actual situation were obtained. This method effectively makes up for the deficiency of InSAR in monitoring the subsidence center of a mining area.Yang ChenShengwen YuQiuxiang TaoGuolin LiuLuyao WangFengyun WangMDPI AGarticleInSARmining surface subsidenceaccuracy verificationsubsidence correctionScienceQENRemote Sensing, Vol 13, Iss 4365, p 4365 (2021)
institution DOAJ
collection DOAJ
language EN
topic InSAR
mining surface subsidence
accuracy verification
subsidence correction
Science
Q
spellingShingle InSAR
mining surface subsidence
accuracy verification
subsidence correction
Science
Q
Yang Chen
Shengwen Yu
Qiuxiang Tao
Guolin Liu
Luyao Wang
Fengyun Wang
Accuracy Verification and Correction of D-InSAR and SBAS-InSAR in Monitoring Mining Surface Subsidence
description The accuracy of InSAR in monitoring mining surface subsidence is always a matter of concern for surveyors. Taking a mining area in Shandong Province, China, as the study area, D-InSAR and SBAS-InSAR were used to obtain the cumulative subsidence of a mining area over a multi-period, which was compared with the mining progress of working faces. Then dividing the mining area into regions with different magnitudes of subsidence according to the actual mining situation, the D-InSAR-, SBAS-InSAR- and leveling-monitored results of different subsidence magnitudes were compared and the Pearson correlation coefficients between them were calculated. The results show that InSAR can accurately detect the location, range, spatial change trend, and basin edge information of the mining subsidence. However, InSAR has insufficient capability to detect the subsidence center, having high displacement rates, and its monitored results are quite different from those of leveling. To solve this problem, the distance from each leveling point to the subsidence center was calculated according to the layout of the rock movement observation line. Besides, the InSAR-monitored error at each leveling point was also calculated. Then, according to the internal relationship between these distances and corresponding InSAR-monitored errors, a correction model of InSAR-monitored results was established. Using this relationship to correct the InSAR-monitored results, results consistent with the actual situation were obtained. This method effectively makes up for the deficiency of InSAR in monitoring the subsidence center of a mining area.
format article
author Yang Chen
Shengwen Yu
Qiuxiang Tao
Guolin Liu
Luyao Wang
Fengyun Wang
author_facet Yang Chen
Shengwen Yu
Qiuxiang Tao
Guolin Liu
Luyao Wang
Fengyun Wang
author_sort Yang Chen
title Accuracy Verification and Correction of D-InSAR and SBAS-InSAR in Monitoring Mining Surface Subsidence
title_short Accuracy Verification and Correction of D-InSAR and SBAS-InSAR in Monitoring Mining Surface Subsidence
title_full Accuracy Verification and Correction of D-InSAR and SBAS-InSAR in Monitoring Mining Surface Subsidence
title_fullStr Accuracy Verification and Correction of D-InSAR and SBAS-InSAR in Monitoring Mining Surface Subsidence
title_full_unstemmed Accuracy Verification and Correction of D-InSAR and SBAS-InSAR in Monitoring Mining Surface Subsidence
title_sort accuracy verification and correction of d-insar and sbas-insar in monitoring mining surface subsidence
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/4ca1465c97204aae976123d299e01a8a
work_keys_str_mv AT yangchen accuracyverificationandcorrectionofdinsarandsbasinsarinmonitoringminingsurfacesubsidence
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AT qiuxiangtao accuracyverificationandcorrectionofdinsarandsbasinsarinmonitoringminingsurfacesubsidence
AT guolinliu accuracyverificationandcorrectionofdinsarandsbasinsarinmonitoringminingsurfacesubsidence
AT luyaowang accuracyverificationandcorrectionofdinsarandsbasinsarinmonitoringminingsurfacesubsidence
AT fengyunwang accuracyverificationandcorrectionofdinsarandsbasinsarinmonitoringminingsurfacesubsidence
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