Ground Deformation Detection Using China’s ZY-3 Stereo Imagery in an Opencast Mining Area
Detection and extraction of mining-induced ground deformation can be used to understand the deformation process and space distribution and to estimate the deformation laws and trends. This study focuses on the application of ground deformation detection and extraction combined with digital surface m...
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doaj-7a25572a8f4c4abb94b7d95f6c49e1f12020-11-25T00:08:37ZengMDPI AGISPRS International Journal of Geo-Information2220-99642017-11-0161136110.3390/ijgi6110361ijgi6110361Ground Deformation Detection Using China’s ZY-3 Stereo Imagery in an Opencast Mining AreaWenmin Hu0Lixin Wu1Wei Zhang2Bin Liu3Jiaxing Xu4IoT Perception Mine Research Center, China University of Mining and Technology, Xuzhou 221008, ChinaSchool of Geosciences and Info-physics, Central South University, Changsha 410083, ChinaIoT Perception Mine Research Center, China University of Mining and Technology, Xuzhou 221008, ChinaState Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, ChinaIoT Perception Mine Research Center, China University of Mining and Technology, Xuzhou 221008, ChinaDetection and extraction of mining-induced ground deformation can be used to understand the deformation process and space distribution and to estimate the deformation laws and trends. This study focuses on the application of ground deformation detection and extraction combined with digital surface model (DSM), derived from China’s ZiYuan-3 (ZY-3) satellite stereo imagery and the advanced spaceborne thermal emission and reflection radiometer global digital elevation model (ASTER GDEM) data. A district covering 200 km2 around the west open-pit mine in Fushun of Liaoning Province, a city located in Northeast China, is chosen as the study area. Regional overall deformation, typical region deformation, and topographical profile deformation are extracted to analyze the distribution and the link between the regional ground deformations. The results show that the mean elevation has already increased by 3.12 m from 2010 to 2015; 71.18% of this area is deformed, and 22.72% of this area has an elevation variation of more than 10 m. Four districts of rising elevation and three districts of descending elevation are extracted. They are deformed with distinct elevation and volume changes. The total area with distinct rising elevation (>15 m) is about 8.44 km2, and the change in volume is 2.47 × 108 m3. However, the total area with distinct descending elevation (<−10 m) is about 6.12 km2, and the change in volume is 2.01 × 108 m3. Moreover, the deformation in the local mining area has expanded to the surrounding areas. Experiments in the mining area demonstrate that ground deformation, especially acute deformation such as large fractures or landslides, can be monitored using DSMs derived from ZY-3 satellite stereo images.https://www.mdpi.com/2220-9964/6/11/361DSMdetectionground deformationmining areaZY-3 stereo imagery |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Wenmin Hu Lixin Wu Wei Zhang Bin Liu Jiaxing Xu |
spellingShingle |
Wenmin Hu Lixin Wu Wei Zhang Bin Liu Jiaxing Xu Ground Deformation Detection Using China’s ZY-3 Stereo Imagery in an Opencast Mining Area ISPRS International Journal of Geo-Information DSM detection ground deformation mining area ZY-3 stereo imagery |
author_facet |
Wenmin Hu Lixin Wu Wei Zhang Bin Liu Jiaxing Xu |
author_sort |
Wenmin Hu |
title |
Ground Deformation Detection Using China’s ZY-3 Stereo Imagery in an Opencast Mining Area |
title_short |
Ground Deformation Detection Using China’s ZY-3 Stereo Imagery in an Opencast Mining Area |
title_full |
Ground Deformation Detection Using China’s ZY-3 Stereo Imagery in an Opencast Mining Area |
title_fullStr |
Ground Deformation Detection Using China’s ZY-3 Stereo Imagery in an Opencast Mining Area |
title_full_unstemmed |
Ground Deformation Detection Using China’s ZY-3 Stereo Imagery in an Opencast Mining Area |
title_sort |
ground deformation detection using china’s zy-3 stereo imagery in an opencast mining area |
publisher |
MDPI AG |
series |
ISPRS International Journal of Geo-Information |
issn |
2220-9964 |
publishDate |
2017-11-01 |
description |
Detection and extraction of mining-induced ground deformation can be used to understand the deformation process and space distribution and to estimate the deformation laws and trends. This study focuses on the application of ground deformation detection and extraction combined with digital surface model (DSM), derived from China’s ZiYuan-3 (ZY-3) satellite stereo imagery and the advanced spaceborne thermal emission and reflection radiometer global digital elevation model (ASTER GDEM) data. A district covering 200 km2 around the west open-pit mine in Fushun of Liaoning Province, a city located in Northeast China, is chosen as the study area. Regional overall deformation, typical region deformation, and topographical profile deformation are extracted to analyze the distribution and the link between the regional ground deformations. The results show that the mean elevation has already increased by 3.12 m from 2010 to 2015; 71.18% of this area is deformed, and 22.72% of this area has an elevation variation of more than 10 m. Four districts of rising elevation and three districts of descending elevation are extracted. They are deformed with distinct elevation and volume changes. The total area with distinct rising elevation (>15 m) is about 8.44 km2, and the change in volume is 2.47 × 108 m3. However, the total area with distinct descending elevation (<−10 m) is about 6.12 km2, and the change in volume is 2.01 × 108 m3. Moreover, the deformation in the local mining area has expanded to the surrounding areas. Experiments in the mining area demonstrate that ground deformation, especially acute deformation such as large fractures or landslides, can be monitored using DSMs derived from ZY-3 satellite stereo images. |
topic |
DSM detection ground deformation mining area ZY-3 stereo imagery |
url |
https://www.mdpi.com/2220-9964/6/11/361 |
work_keys_str_mv |
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