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Abstract Mineral resources are important production materials for human survival and development, and the monitoring of mine environment is crucial for mineral resources exploitation and protection. Due to the advantages including large-scale, multi temporal and comprehensive, remote sensing technology has become the main means of mine monitoring. Aiming to the requirements of mine development and utilization, geological disasters, ecological environment monitoring and quality evaluation, we systematically summarized data sources, methods and models used in remote sensing monitoring of mine environment. Especially, data sources adopted in remote sensing monitoring of mine have tended to diversify and involve in all aspects of mine monitoring. Along with the rapid development of cloud computing platform and artificial intelligence technology, methods such as big data analysis and deep learning have gradually played an important role in remote sensing monitoring of mine environment, while multi-source data fusion, intelligent extraction of features, three-dimensional deformation monitoring and quantitative inversion are the main problems and challenges.
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Received: 19 November 2021
Published: 18 May 2022
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Fund: CAS "Light of West China" Program;Longyuan Youth Innovation and Entrepreneurship Program |
Corresponding Authors:
Xiao-Jun YAO
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