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Progress in the Remote Sensing Monitoring of the Ecological Environment in Mining Areas

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  • Wen Song

    (Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    College of Mining Engineering, North China University of Science and Technology, Tangshan 063210, China)

  • Wei Song

    (Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China)

  • Haihong Gu

    (College of Mining Engineering, North China University of Science and Technology, Tangshan 063210, China
    Hebei Key Laboratory of Mining Development and Security Technology, Tangshan 063210, China
    Hebei Industrial Technology Institute of Mine Ecological Remediation, Tangshan 063210, China)

  • Fuping Li

    (College of Mining Engineering, North China University of Science and Technology, Tangshan 063210, China
    Hebei Key Laboratory of Mining Development and Security Technology, Tangshan 063210, China
    Hebei Industrial Technology Institute of Mine Ecological Remediation, Tangshan 063210, China)

Abstract

Based on the results of an extensive literature research, we summarize the research progress of remote sensing monitoring in terms of identifying mining area boundaries and monitoring land use or land cover changes of mining areas. We also analyze the application of remote sensing in monitoring the biodiversity, landscape structure, vegetation change, soil environment, surface runoff conditions, and the atmospheric environment in mining areas and predict the prospects of remote sensing in monitoring the ecological environment in mining areas. Based on the results, the accurate classification of land use or land cover and the accurate extraction of environmental factors are the basis for remote sensing monitoring of the ecological environment in mining areas. In terms of the extraction of ecological factors, vegetation extraction is relatively advanced in contrast to the extraction of animal and microbial data. For the monitoring of environmental conditions of mining areas, sophisticated methods are available to identify pollution levels of vegetation and to accurately monitor soil quality. However, the methods for water and air pollution monitoring in mining areas still need to be improved. These limitations considerably impede the application of remote sensing monitoring in mining areas. The solving of these problems depends on the progress of multi-source remote sensing data and stereoscopic monitoring techniques.

Suggested Citation

  • Wen Song & Wei Song & Haihong Gu & Fuping Li, 2020. "Progress in the Remote Sensing Monitoring of the Ecological Environment in Mining Areas," IJERPH, MDPI, vol. 17(6), pages 1-17, March.
  • Handle: RePEc:gam:jijerp:v:17:y:2020:i:6:p:1846-:d:331703
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Lina Tang & Alimujiang Kasimu & Haitao Ma & Mamattursun Eziz, 2023. "Monitoring Multi-Scale Ecological Change and Its Potential Drivers in the Economic Zone of the Tianshan Mountains’ Northern Slopes, Xinjiang, China," IJERPH, MDPI, vol. 20(4), pages 1-20, February.
    2. Yuxia Zhao & Yang Wang & Zifan Zhang & Yi Zhou & Haoqing Huang & Ming Chang, 2023. "The Evolution of Landscape Patterns and Its Ecological Effects of Open-Pit Mining: A Case Study in the Heidaigou Mining Area, China," IJERPH, MDPI, vol. 20(5), pages 1-26, March.
    3. Huanyu Xu & Hao Sun & Tian Zhang & Zhenheng Xu & Dan Wu & Ling Wu, 2023. "Remote Sensing Study on the Coupling Relationship between Regional Ecological Environment and Human Activities: A Case Study of Qilian Mountain National Nature Reserve," Sustainability, MDPI, vol. 15(14), pages 1-27, July.
    4. Jiawei Qi & Yichen Zhang & Jiquan Zhang & Yanan Chen & Chenyang Wu & Chenyu Duan & Zhongshuai Cheng & Zengkai Pan, 2022. "Research on the Evaluation of Geological Environment Carrying Capacity Based on the AHP-CRITIC Empowerment Method," Land, MDPI, vol. 11(8), pages 1-17, July.
    5. Lei Zhang & Wei Song & Wen Song, 2020. "Assessment of Agricultural Drought Risk in the Lancang-Mekong Region, South East Asia," IJERPH, MDPI, vol. 17(17), pages 1-24, August.
    6. Wenjuan Jin & Han Wu & Zhongyi Wei & Chunlan Han & Zhenxing Bian & Xufeng Zhang, 2022. "Are Iron Tailings Suitable for Constructing the Soil Profile Configuration of Reclaimed Farmland? A Soil Quality Evaluation Based on Chronosequences," IJERPH, MDPI, vol. 19(14), pages 1-18, July.
    7. Guan, Yanjun & Wang, Juan & Zhou, Wei & Bai, Zhongke & Cao, Yingui, 2023. "Delimiting supervision zones to inform the revision of land reclamation management modes in coal mining areas: A perspective from the succession characteristics of rehabilitated vegetation," Land Use Policy, Elsevier, vol. 131(C).
    8. He Gao & Wei Song, 2022. "Assessing the Landscape Ecological Risks of Land-Use Change," IJERPH, MDPI, vol. 19(21), pages 1-25, October.

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