矿山环境遥感监测研究进展

Research Progress of Mine Environment Remote Sensing Monitoring

矿产资源是人类赖以生存和发展的重要生产资料,开展矿山监测对于矿产资源开发利用和矿区环境保护至关重要。由于具有大范围、多时相和综合性等优势,遥感技术已成为矿山监测的主要手段。针对矿山开发利用状况、地质灾害问题以及生态环境监测与质量评价等需求,系统总结了矿山环境遥感监测所用的数据源、方法和模型。目前遥感监测数据源已趋于多样化并覆盖矿山监测各方面,得益于云计算平台及人工智能技术快速发展,大数据分析和深度学习等方法在矿山环境遥感监测中逐渐发挥重要作用,而多源数据融合、地物智能化提取、三维形变监测和定量反演等是矿山环境遥感监测存在的主要问题与挑战。

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.