Monitoring Extractive Activity-Induced Surface Subsidence in Highland and Alpine Opencast Coal Mining Areas with Multi-Source Data

Mining developments in alpine coal mining areas result in slow or rapid ground subsidence, which can lead to melting and collapse of permafrost. This paper integrated unmanned aerial vehicle (UAV) images and satellite-based SAR interferometry images to monitor intensive surface mining subsidence dur...

Full description

Bibliographic Details
Published in:Remote Sensing
Main Authors: Shuqing Wang, Zechao Bai, Yuepeng Lv, Wei Zhou
Format: Text
Language:English
Published: Multidisciplinary Digital Publishing Institute 2022
Subjects:
DoD
Online Access:https://doi.org/10.3390/rs14143442
id ftmdpi:oai:mdpi.com:/2072-4292/14/14/3442/
record_format openpolar
spelling ftmdpi:oai:mdpi.com:/2072-4292/14/14/3442/ 2023-08-20T04:09:14+02:00 Monitoring Extractive Activity-Induced Surface Subsidence in Highland and Alpine Opencast Coal Mining Areas with Multi-Source Data Shuqing Wang Zechao Bai Yuepeng Lv Wei Zhou 2022-07-18 application/pdf https://doi.org/10.3390/rs14143442 EN eng Multidisciplinary Digital Publishing Institute Engineering Remote Sensing https://dx.doi.org/10.3390/rs14143442 https://creativecommons.org/licenses/by/4.0/ Remote Sensing; Volume 14; Issue 14; Pages: 3442 PS-InSAR surface subsidence DoD opencast mine reclamation Text 2022 ftmdpi https://doi.org/10.3390/rs14143442 2023-08-01T05:44:41Z Mining developments in alpine coal mining areas result in slow or rapid ground subsidence, which can lead to melting and collapse of permafrost. This paper integrated unmanned aerial vehicle (UAV) images and satellite-based SAR interferometry images to monitor intensive surface mining subsidence during reclamation. Digital Surface Model (DSM) acquired from UAV images was first used to evaluate the changes of the reclamation scheme on the microtopography carried out by slope and the Digital Elevation Model (DEM) of difference (DoD). The monitoring results showed that the slope had been reduced from over 30 degrees to under 15 degrees after the terrain had been reshaped. The DoD map revealed the distribution of main extraction areas and landfill areas. To further monitor the surface subsidence after local terrain adjustment, the Permanent Scatterer Interferometry (PS-InSAR) method was used to reveal the surface subsidence characteristics of the mine site before and after reclamation. The maximum cumulative subsidence ranged from −772.3 to 1183 mm based on 21 Sentinel-1A images in three years. Within a year of terrain reshaping, uplift and subsidence still occurred at hills and pit side slopes, following the nearly equal subsidence rate. The experimental results showed that the slope reshaping and vegetation recovery had a limited impact on the reduction of the ground subsidence in a short period. Therefore, on this basis, a combination of UAV and PS-InSAR methods can be used to continue monitoring time series subsidence in alpine mines. Text permafrost MDPI Open Access Publishing Remote Sensing 14 14 3442
institution Open Polar
collection MDPI Open Access Publishing
op_collection_id ftmdpi
language English
topic PS-InSAR
surface subsidence
DoD
opencast mine
reclamation
spellingShingle PS-InSAR
surface subsidence
DoD
opencast mine
reclamation
Shuqing Wang
Zechao Bai
Yuepeng Lv
Wei Zhou
Monitoring Extractive Activity-Induced Surface Subsidence in Highland and Alpine Opencast Coal Mining Areas with Multi-Source Data
topic_facet PS-InSAR
surface subsidence
DoD
opencast mine
reclamation
description Mining developments in alpine coal mining areas result in slow or rapid ground subsidence, which can lead to melting and collapse of permafrost. This paper integrated unmanned aerial vehicle (UAV) images and satellite-based SAR interferometry images to monitor intensive surface mining subsidence during reclamation. Digital Surface Model (DSM) acquired from UAV images was first used to evaluate the changes of the reclamation scheme on the microtopography carried out by slope and the Digital Elevation Model (DEM) of difference (DoD). The monitoring results showed that the slope had been reduced from over 30 degrees to under 15 degrees after the terrain had been reshaped. The DoD map revealed the distribution of main extraction areas and landfill areas. To further monitor the surface subsidence after local terrain adjustment, the Permanent Scatterer Interferometry (PS-InSAR) method was used to reveal the surface subsidence characteristics of the mine site before and after reclamation. The maximum cumulative subsidence ranged from −772.3 to 1183 mm based on 21 Sentinel-1A images in three years. Within a year of terrain reshaping, uplift and subsidence still occurred at hills and pit side slopes, following the nearly equal subsidence rate. The experimental results showed that the slope reshaping and vegetation recovery had a limited impact on the reduction of the ground subsidence in a short period. Therefore, on this basis, a combination of UAV and PS-InSAR methods can be used to continue monitoring time series subsidence in alpine mines.
format Text
author Shuqing Wang
Zechao Bai
Yuepeng Lv
Wei Zhou
author_facet Shuqing Wang
Zechao Bai
Yuepeng Lv
Wei Zhou
author_sort Shuqing Wang
title Monitoring Extractive Activity-Induced Surface Subsidence in Highland and Alpine Opencast Coal Mining Areas with Multi-Source Data
title_short Monitoring Extractive Activity-Induced Surface Subsidence in Highland and Alpine Opencast Coal Mining Areas with Multi-Source Data
title_full Monitoring Extractive Activity-Induced Surface Subsidence in Highland and Alpine Opencast Coal Mining Areas with Multi-Source Data
title_fullStr Monitoring Extractive Activity-Induced Surface Subsidence in Highland and Alpine Opencast Coal Mining Areas with Multi-Source Data
title_full_unstemmed Monitoring Extractive Activity-Induced Surface Subsidence in Highland and Alpine Opencast Coal Mining Areas with Multi-Source Data
title_sort monitoring extractive activity-induced surface subsidence in highland and alpine opencast coal mining areas with multi-source data
publisher Multidisciplinary Digital Publishing Institute
publishDate 2022
url https://doi.org/10.3390/rs14143442
genre permafrost
genre_facet permafrost
op_source Remote Sensing; Volume 14; Issue 14; Pages: 3442
op_relation Engineering Remote Sensing
https://dx.doi.org/10.3390/rs14143442
op_rights https://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.3390/rs14143442
container_title Remote Sensing
container_volume 14
container_issue 14
container_start_page 3442
_version_ 1774722055106723840