Quantitative remote sensing-based monitoring and evaluation of the ecological environment in mining areas: technology framework and application

Li Jun; Peng Suping; Zhang Chengye; Yang Fei; Sang Xiao

doi:10.19606/j.cnki.jmst.2022.01.002

Volume 7 Issue 1

Feb. 2022

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Li Jun, Peng Suping, Zhang Chengye, Yang Fei, Sang Xiao. Quantitative remote sensing-based monitoring and evaluation of the ecological environment in mining areas: technology framework and application[J]. Journal of Mining Science and Technology, 2022, 7(1): 9-25, 88. doi: 10.19606/j.cnki.jmst.2022.01.002

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Quantitative remote sensing-based monitoring and evaluation of the ecological environment in mining areas: technology framework and application

doi: 10.19606/j.cnki.jmst.2022.01.002

Li Jun^{1, 2
,},
Peng Suping^{1
,
,},
Zhang Chengye²,
Yang Fei²,
Sang Xiao²

1.
State Key Laboratory of Coal Resources and Safe Mining, Beijing 100083, China
2.
College of Geoscience and Surveying Engineering, China University of Mining and Technology-Beijing, Beijing 100083, China

Received Date: 2021-02-23
Rev Recd Date: 2021-08-25
Publish Date: 2022-02-01

Abstract

Abstract

To practice the development concept of "lucid waters and lush mountains are invaluable assets", and balance mineral development and ecological environment protection, it is urgent to carry out dynamic monitoring and scientific evaluation of the ecological environment in mining areas.Based on the characteristics of the ecological environment in mining areas, this paper analyzes the temporal and spatial change characteristics and differences of the ecological environment elements in the mining area, the impact mechanism of the mining and restoration activities on the ecological environment elements, and the cooperative evolution law of each element.Guided by the requirements on ecological environment monitoring and evaluation in mining areas in the new era, a technology framework for quantitative remote sensing-based monitoring and evaluation of the ecological environment in mining areas is proposed from the perspective of 'data-monitoring-evaluation-application'.The framework makes full use of multi-source big data in mining areas with remote sensing images as the main body and takes advantage of the emerging technologies such as artificial intelligence and quantitative remote sensing.This research archives quantitative monitoring and evaluation of the ecological environment elements in the mining areas with the features of high frequency, large-extent, long-term, continuous, all-factor observation and quantitative inversion, which can support the operational applications including mining activity monitoring, ecological environment diagnosis and early warning and restoration effect evaluation in mining areas.Finally, two real-world cases are introduced to illustrate the effectiveness and application flow of the proposed framework.
- ecological environment in mining areas,
- remote sensing monitoring,
- ecological quality evaluation,
- quantitative remote sensing,
- artificial intelligence

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References(75)

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Quantitative remote sensing-based monitoring and evaluation of the ecological environment in mining areas: technology framework and application

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