Spatiotemporal subsidence over Pabdana coal mine Kerman Province, central Iran using time-series of Sentinel-1 remote sensing imagery

被引:16
|
作者
Mehrabi, Ali [1 ]
Derakhshani, Reza [2 ,3 ]
Nilfouroushan, Faramarz [4 ,5 ]
Rahnamarad, Jafar [6 ]
Azarafza, Mohammad [7 ]
机构
[1] Shahid Bahonar Univ Kerman, Dept Geog, Kerman, Iran
[2] Shahid Bahonar Univ Kerman, Dept Geol, Kerman, Iran
[3] Univ Utrecht, Dept Earth Sci, Utrecht, Netherlands
[4] Univ Gavle, Dept Comp & Geospatial Sci, Gavle, Sweden
[5] Lantmateriet, Dept Geodet Infrastructure, Geodata Div, Gavle, Sweden
[6] Islamic Azad Univ, Dept Geol, Zahedan Branch, Zahedan, Iran
[7] Univ Tabriz, Dept Civil Engn, Tabriz, Iran
来源
EPISODES | 2023年 / 46卷 / 01期
关键词
SURFACE SUBSIDENCE; GROUND DEFORMATION; MINING SUBSIDENCE; INSAR; INTERFEROMETRY; PALEOGEOGRAPHY; PREDICTION; BLOCK; WATER; WEST;
D O I
10.18814/epiiugs/2022/022009
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Environmental monitoring of mining regions using sat-ellite imagery is crucial for sustainable exploitation and preventing geohazards. Movements due to the failure of the roof in underground coal mining, by migrating upwards and outwards from the seam being mined, could eventu-ally appear as ground deformation. To investigate the mat-ter further, the surface deformation that occurred over the Pabdana mining area was monitored in three time periods, between October 2, 2014, and July 27, 2019. Persistent scat-terer interferometry (PSI) was used based on 150 ascending and descending Sentinel-1A images. The maximum min-ing subsidence rate during the studied periods was about 30 to 35 mm/yr. The PSI analysis shows that the subsid-ence rate varied both temporally and spatially during the three studied periods. The time series and the displacement rate for various cross-sections highlight a clear quantitative relationship between coal extraction progress and sub-sidence, which proceeded southward throughout the three study periods. So, considering coal mining subsidence as a geohazard, land developments and structures over the mining area may be safeguarded. The approach used in this investigation can be implemented in other similar coal mining zones.
引用
收藏
页码:19 / 33
页数:15
相关论文
共 14 条
  • [1] Understanding the Spatiotemporal Characteristics of Land Subsidence and Rebound in the Lianjiang Plain Using Time-Series InSAR with Dual-Track Sentinel-1 Data
    He, Yangfan
    Ng, Alex Hay-Man
    Wang, Hua
    Kuang, Jianming
    [J]. REMOTE SENSING, 2023, 15 (13)
  • [2] A Convolutional Neural Network Method for Rice Mapping Using Time-Series of Sentinel-1 and Sentinel-2 Imagery
    Saadat, Mohammad
    Seydi, Seyd Teymoor
    Hasanlou, Mahdi
    Homayouni, Saeid
    [J]. AGRICULTURE-BASEL, 2022, 12 (12):
  • [3] Soil Moisture Estimation Using Sentinel-1/-2 Imagery Coupled With CycleGAN for Time-Series Gap Filing
    Efremova, Natalia
    Seddik, Mohamed El Amine
    Erten, Esra
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 60
  • [4] Extracting field-scale crop distribution in Lingnan using spatiotemporal filtering of Sentinel-1 time-series data
    Qian, Lisha
    Jiang, Hao
    Chen, Shuisen
    Li, Dan
    Wang, Chongyang
    Chen, Jinyue
    Dai, Xuemei
    [J]. Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering, 2022, 38 (05): : 158 - 166
  • [5] Monitoring of recent ground surface subsidence in the Cangzhou region by the use of the InSAR time-series technique with multi-orbit Sentinel-1 TOPS imagery
    Zhou, Hongyue
    Wang, Yunjia
    Yan, Shiyong
    Li, Yi
    Liu, Xixi
    Zhang, Feiyue
    [J]. INTERNATIONAL JOURNAL OF REMOTE SENSING, 2018, 39 (22) : 8113 - 8128
  • [6] Time-series snowmelt detection over the Antarctic using Sentinel-1 SAR images on Google Earth Engine
    Liang, Dong
    Guo, Huadong
    Zhang, Lu
    Cheng, Yun
    Zhu, Qi
    Liu, Xuting
    [J]. REMOTE SENSING OF ENVIRONMENT, 2021, 256
  • [7] Mapping large-scale aquaculture ponds in Jiangsu Province, China: An automatic extraction framework based on Sentinel-1 time-series imagery
    Liu, Chongbin
    Xu, Jia
    Xu, Kang
    Yu, Juanjuan
    [J]. AQUACULTURE, 2024, 581
  • [8] Wetland Mapping in Great Lakes Using Sentinel-1/2 Time-Series Imagery and DEM Data in Google Earth Engine
    Mohseni, Farzane
    Amani, Meisam
    Mohammadpour, Pegah
    Kakooei, Mohammad
    Jin, Shuanggen
    Moghimi, Armin
    [J]. REMOTE SENSING, 2023, 15 (14)
  • [9] Examining subsidence change regularity in high groundwater level coal mining areas using Sentinel-1A time-series data
    Jiang, Xuzi
    Li, Xinju
    Li, Jing
    Hu, Xiao
    [J]. NATURAL HAZARDS, 2024,
  • [10] Data Processing, Feature Extraction, and Time-Series Analysis of Sentinel-1 Synthetic Aperture Radar (SAR) Imagery: Examples from Damghan and Bajestan Playa (Iran)
    Ullmann, Tobias
    Serfas, Konstantin
    Buedel, Christian
    Padashi, Majid
    Baumhauer, Roland
    [J]. ZEITSCHRIFT FUR GEOMORPHOLOGIE, 2019, 62 : 9 - 39