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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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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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 |
_version_ |
1724763466248486912 |