MINING LAND SUBSIDENCE MONITORING USING SENTINEL-1 SAR DATA

In this paper, DInSAR technique was used to monitor land subsidence in mining area. The study area was selected in the coal mine area located in Yuanbaoshan District, Chifeng City, and Sentinel-1 data were used to carry out DInSAR techniqu. We analyzed the interferometric results by Sentinel-1 dat...

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Main Authors: W. Yuan, Q. Wang, J. Fan, H. Li
Format: Article
Language:English
Published: Copernicus Publications 2017-09-01
Series:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W7/655/2017/isprs-archives-XLII-2-W7-655-2017.pdf
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spelling doaj-9b24d8b7ecec4433890c4d7ec26d1d052020-11-25T02:45:13ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342017-09-01XLII-2-W765565810.5194/isprs-archives-XLII-2-W7-655-2017MINING LAND SUBSIDENCE MONITORING USING SENTINEL-1 SAR DATAW. Yuan0Q. Wang1J. Fan2H. Li3China Aero Geophysical Survey and Remote Sensing Centre for Land and Resources, ChinaSchool of Land Science and Technology, China University of Geosciences, ChinaChina Aero Geophysical Survey and Remote Sensing Centre for Land and Resources, ChinaSatellite Surveying and Mapping Application Center, NASG, ChinaIn this paper, DInSAR technique was used to monitor land subsidence in mining area. The study area was selected in the coal mine area located in Yuanbaoshan District, Chifeng City, and Sentinel-1 data were used to carry out DInSAR techniqu. We analyzed the interferometric results by Sentinel-1 data from December 2015 to May 2016. Through the comparison of the results of DInSAR technique and the location of the mine on the optical images, it is shown that DInSAR technique can be used to effectively monitor the land subsidence caused by underground mining, and it is an effective tool for law enforcement of over-mining.https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W7/655/2017/isprs-archives-XLII-2-W7-655-2017.pdf
collection DOAJ
language English
format Article
sources DOAJ
author W. Yuan
Q. Wang
J. Fan
H. Li
spellingShingle W. Yuan
Q. Wang
J. Fan
H. Li
MINING LAND SUBSIDENCE MONITORING USING SENTINEL-1 SAR DATA
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
author_facet W. Yuan
Q. Wang
J. Fan
H. Li
author_sort W. Yuan
title MINING LAND SUBSIDENCE MONITORING USING SENTINEL-1 SAR DATA
title_short MINING LAND SUBSIDENCE MONITORING USING SENTINEL-1 SAR DATA
title_full MINING LAND SUBSIDENCE MONITORING USING SENTINEL-1 SAR DATA
title_fullStr MINING LAND SUBSIDENCE MONITORING USING SENTINEL-1 SAR DATA
title_full_unstemmed MINING LAND SUBSIDENCE MONITORING USING SENTINEL-1 SAR DATA
title_sort mining land subsidence monitoring using sentinel-1 sar data
publisher Copernicus Publications
series The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
issn 1682-1750
2194-9034
publishDate 2017-09-01
description In this paper, DInSAR technique was used to monitor land subsidence in mining area. The study area was selected in the coal mine area located in Yuanbaoshan District, Chifeng City, and Sentinel-1 data were used to carry out DInSAR techniqu. We analyzed the interferometric results by Sentinel-1 data from December 2015 to May 2016. Through the comparison of the results of DInSAR technique and the location of the mine on the optical images, it is shown that DInSAR technique can be used to effectively monitor the land subsidence caused by underground mining, and it is an effective tool for law enforcement of over-mining.
url https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W7/655/2017/isprs-archives-XLII-2-W7-655-2017.pdf
work_keys_str_mv AT wyuan mininglandsubsidencemonitoringusingsentinel1sardata
AT qwang mininglandsubsidencemonitoringusingsentinel1sardata
AT jfan mininglandsubsidencemonitoringusingsentinel1sardata
AT hli mininglandsubsidencemonitoringusingsentinel1sardata
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