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Volume 52 Issue 4
Apr.  2024
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LIU Juqing，LI Jun，WANG Xingjuan，et al. Design and implementation of quantitative remote sensing monitoring and intelligent analysis system for mine ecological environment[J]. Coal Science and Technology，2024，52（4）：346−358

. DOI: 10.12438/cst.2023-0456
Citation:

LIU Juqing，LI Jun，WANG Xingjuan，et al. Design and implementation of quantitative remote sensing monitoring and intelligent analysis system for mine ecological environment[J]. Coal Science and Technology，2024，52（4）：346−358

. DOI: 10.12438/cst.2023-0456
shu

Design and implementation of quantitative remote sensing monitoring and intelligent analysis system for mine ecological environment

  • College of Geoscience and Surveying Engineering, China University of Mining and Technology-Beijing, Beijing 100083, China

Funds: 

National Natural Science Foundation of China Funding Project (42271480); Basic Research Funding Projects of Central Universities (2022JCCXDC04, 2023ZKPYDC10)

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  • Received Date: March 31, 2023
  • Available Online: April 09, 2024
    Graphical Abstract
    • Abstract

  • Mine ecological environment monitoring and governance is a critical requirement for national ecological civilization construction and the dual carbon goal. The informatization and intelligent construction of the mine ecological environment have become an important part of Digital China driven by the new generation of information technology, and it is also an inevitable trend in the development of the current era. However, existing mine ecological environment monitoring systems are still in the primary stage with a single theme, incomplete elements, basic measurement, and local management, and they cannot meet the demand for multi-element, long-term, high-frequency monitoring and analysis of the mine ecological environment. To address this problem, the quantitative remote sensing monitoring and intelligent analysis system for the mine ecological environment under B/S architecture is proposed, called Mine Ecology Remote Eyes. The development requirements, technical framework, key technologies, and core functions of the system are further described in detail. The system utilizes satellite remote sensing technology and other monitoring methods to obtain and aggregate mine ecological big data from different sources, forming a map of mine distribution and data resource services. Using quantitative remote sensing to invert ecological parameters of mine environments, a set of long-term and multi-element monitoring products can be generated. These products cover various ecological elements such as human activities, natural geographical conditions, and “vegetation-soil-water-atmosphere” parameters. The system provides a range of tools for GIS spatial and temporal analysis, statistical analysis, and comprehensive quantitative evaluation. With these tools, users can monitor spatial changes in ecological parameters such as land use and normalized difference vegetation index (NDVI) in mining areas along with mining activities, as well as query and visualize historical statistical values of ecological elements such as soil water content and suspended solids concentration in water under different spatiotemporal locations or regions. Additionally, the system enables comprehensive quantitative evaluation of the quality of the mine ecological environment taking into account multiple ecological elements. Finally, the system generates a monitoring report on ecological disturbance and governance of the mine. The application of Mine Ecology Remote Eyes will facilitate the change monitoring, data management, intelligent analysis, and decision-making applications of the mine ecological environment. This system has the potential to improve the efficiency and intelligence level of monitoring and governance of the mine ecological environment, and provides a reference for promoting the informatization of ecological civilization.

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