Monitoring and Restoration of Mining-Impacted Ecosystems Using Remote Sensing Technology

Dear Colleagues,

Under the background of global climate change and sustainable development, the contradiction between mineral resources exploitation and ecological protection is becoming increasingly prominent, and the traditional mining activities lack corresponding thinking about the problems in the field of ecological environment. The degree of destruction of mine ecological environment is closely related to the intensity of mining activities. Large-scale mining leads to irreversible changes in landform, soil structure, landscape heterogeneity, biodiversity, and so on. It is particularly urgent to combine the concept promotion and technological innovation of mine management and ecological restoration to enhance the function of mine ecosystem.

At present, the development of remote sensing science and technology provides new research ideas for ecological restoration and ecosystem function improvement in mining areas. MODIS, Landsat, Sentinel, GF, and other satellite images, LiDAR and other LIDAR data, and UAV data enable us to monitor and analyze the changes in the structure and function of mining ecosystem from different scales and levels, providing important data support for ecological restoration.

This Special Issue focuses on the functional changes in various ecosystems in mining areas in the process of ecological restoration supported by multi-source remote sensing data. The main research areas include high-precision inversion and mapping of mining ecosystems based on multi-source remote sensing image data; the interaction mechanism of structural characteristics and functions of mining ecosystems in the process of ecological restoration; the evolution law and driving mechanism of mining ecosystem structure and function based on long time series remote sensing data; the application of remote sensing technology such as machine learning and GEE in the research of ecological restoration in mining area.

Articles may explore, but are not limited to, the following topics:

1. High-precision remote sensing identification of mining area ecological restoration based on machine learning and GEE;
2. Multi-scale high time resolution mapping of mining ecosystem based on multi-source remote sensing data;
3. Analysis of the evolution law and driving mechanism of mining ecosystem structure and function based on long time series remote sensing data;
4. Interaction mechanism of structural characteristics and functions of mining ecosystem in the process of ecological restoration;
5. Nbs (Nature-based Solution) ecosystem structure and function analysis based on multi-source and multi-scale remote sensing mining area.
6. Dynamic monitoring and benefit assessment analysis of ecological restoration in mining areas based on multi-source remote sensing data.

Dr. Qiang Yu
Prof. Dr. Huaguo Huang
Dr. Jianbo Qi
Guest Editors

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• multi-source remote sensing data
• remote sensing technology
• mining ecosystem
• ecological restoration
• ecosystem structure and function