Surface Environmental Evolution Monitoring in Coal Mining Subsidence Area Based on Multi-Source Remote Sensing Data

被引:10
|
作者
Shang, Hui [1 ]
Zhan, Hui-Zhu [1 ]
Ni, Wan-Kui [2 ]
Liu, Yang [1 ]
Gan, Zhi-Hui [1 ]
Liu, Si-Hang [1 ]
机构
[1] Xian Univ Sci & Technol, Coll Geol & Environm, Xi'an, Peoples R China
[2] Changan Univ, Coll Geol Engn & Geomat, Xi'an, Peoples R China
基金
中国博士后科学基金;
关键词
coal mining subsidence; interpretation signs; spatial-temporal evolution monitoring; remote sensing; Huinong; IMAGE SEGMENTATION; RISK-ASSESSMENT; ECOSYSTEM; ASTER;
D O I
10.3389/feart.2022.790737
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
The exploitation of mineral resources is crucial for cost-effective construction but has also led to severe damage to the ecological environment in mining areas. Therefore, it is particularly important to effectively monitor surface environmental problems in the mining subsidence area caused by the exploitation of mineral resources. Herein, the Huinong coal mining subsidence area, Shizuishan city, Ningxia, China, was taken as the study area. The remote sensing image features of various environmental elements were investigated through field investigations, the measured spectra, and image spectrum contrast analysis. On this basis, an object-oriented random forest classification method was used to classify images from different time phases and sources in coal mining subsidence areas. Next, the man-machine interactive interpretation was confirmed by referring to the pre-classification results. By overlaying the interpretation result map and analyzing the land-use class changes, the spatial-temporal evolution monitoring of the surface environment in the coal mining subsidence area from 1979 to 2018 was carried out. The results show that the surface environment in the coal mining subsidence area has undergone significant changes over the past 40 years, among which-from 1979 to 2003-the environment of the coal mining area was severely damaged by the intensive mining activities. The area of cultivated land and vegetation coverage decreased sharply, while the area of other land-use classes, such as coal heaps, water bodies, and coal gangue, exhibited a trend of rapid growth. From 2003 to 2018, after more than 10 years of mine geological environment renovation and management, the surface environment of the coal mining subsidence area greatly improved, among which the vegetation coverage has shown the fastest growth rate, while the area of coal gangue, badlands, and other land-use classes have significantly reduced. The hidden dangers of geological disasters have been drastically mitigated. In addition, the residential area continued to decrease in the early stages and then rebounded to a certain extent, indicating that urbanization was carried out at the same time as the ecological environment began to improve. The surface environment before and after the renovation is consistent with the results from remote sensing monitoring.
引用
收藏
页数:19
相关论文
共 50 条
  • [41] Multi-source remote sensing data fusion based on wavelet transformation algorithm
    Ding, JL
    Zhu, Q
    Zhang, Y
    Tiyip, T
    Liu, CS
    Sun, R
    Pan, XL
    ECOSYSTEMS DYNAMICS, ECOSYSTEM-SOCIETY INTERACTIONS, AND REMOTE SENSING APPLICATIONS FOR SEMI-ARID AND ARID LAND, PTS 1 AND 2, 2003, 4890 : 262 - 269
  • [42] Green Tide Information Extraction Based on Multi-source Remote Sensing Data
    Liang, Tingting
    Ke, Lina
    Fan, Jianchao
    Zhao, Jianhua
    2020 12TH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTATIONAL INTELLIGENCE (ICACI), 2020, : 460 - 465
  • [43] Retrieval of Sea Surface Wind Fields Using Multi-Source Remote Sensing Data
    Hu, Tangao
    Li, Yue
    Li, Yao
    Wu, Yiyue
    Zhang, Dengrong
    REMOTE SENSING, 2020, 12 (09)
  • [44] Observation of suspended sediment in sea area around Dajin Island based on multi-source remote sensing data
    Huang G.-R.
    Zhang X.-Y.
    Han Y.-C.
    Chen J.-X.
    Zhang Y.-J.
    Zhejiang Daxue Xuebao (Gongxue Ban)/Journal of Zhejiang University (Engineering Science), 2020, 54 (05): : 985 - 995
  • [45] Area Change and Cause Analysis of Bosten Lake based on Multi-source Remote Sensing Data and GEE Platform
    Peng Y.
    Li Z.
    Yao X.
    Mou J.
    Han W.
    Wang P.
    Journal of Geo-Information Science, 2021, 23 (06) : 1131 - 1153
  • [46] Estimation method of straw burned area based on multi-source satellite remote sensing
    Chen, Jie
    Zheng, Wei
    Gao, Hao
    Shao, Jiali
    Liu, Cheng
    Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering, 2015, 31 (03): : 207 - 214
  • [47] Eco-environmental water requirements in Shuangtaizi Estuary Wetland based on multi-source remote sensing data
    Cheng, Qian
    Zhou, Lin Fei
    Wang, Tie liang
    JOURNAL OF WATER AND CLIMATE CHANGE, 2018, 9 (02) : 338 - 346
  • [48] Hybrid Methods' Integration for Remote Sensing Monitoring and Process Analysis of Dust Storm Based on Multi-Source Data
    Wang, Yanjiao
    Tang, Jiakui
    Zhang, Zili
    Wang, Wuhua
    Wang, Jiru
    Wang, Zhao
    ATMOSPHERE, 2023, 14 (01)
  • [49] Multi-source remote sensing data fusion in human settlements
    Dang, Anrong
    Mao, Qizhi
    Qinghua Daxue Xuebao/Journal of Tsinghua University, 2000, 40 (09): : 7 - 10
  • [50] Multi-source remote sensing data fusion: status and trends
    Zhang, Jixian
    INTERNATIONAL JOURNAL OF IMAGE AND DATA FUSION, 2010, 1 (01) : 5 - 24