李迎双, 李恒凯, 徐丰. 矿山环境污染高光谱遥感监测研究进展[J]. 有色金属科学与工程, 2022, 13(1): 108-114. DOI: 10.13264/j.cnki.ysjskx.2022.01.014
引用本文: 李迎双, 李恒凯, 徐丰. 矿山环境污染高光谱遥感监测研究进展[J]. 有色金属科学与工程, 2022, 13(1): 108-114. DOI: 10.13264/j.cnki.ysjskx.2022.01.014
LI Yingshuang, LI Hengkai, XU Feng. Research progress of hyperspectral remote sensing monitoring in mine environmental contamination[J]. Nonferrous Metals Science and Engineering, 2022, 13(1): 108-114. DOI: 10.13264/j.cnki.ysjskx.2022.01.014
Citation: LI Yingshuang, LI Hengkai, XU Feng. Research progress of hyperspectral remote sensing monitoring in mine environmental contamination[J]. Nonferrous Metals Science and Engineering, 2022, 13(1): 108-114. DOI: 10.13264/j.cnki.ysjskx.2022.01.014

矿山环境污染高光谱遥感监测研究进展

Research progress of hyperspectral remote sensing monitoring in mine environmental contamination

  • 摘要: 矿产资源的开发导致了矿区环境的剧烈变化,直接影响了生态的可持续发展。近年来,高光谱遥感因其分辨率精细、图谱合一解决了传统遥感只能识别地物大类的问题,被广泛应用于矿区环境监测。许多学者在矿区环境高光谱遥感监测中均取得一定的成果,因此,文中在梳理大量文献的基础上,阐述了国内外矿区高光谱遥感研究现状,对研究数据的优缺点进行了整理总结,归纳了高光谱遥感技术在植被理化参数反演、土壤重金属含量反演、水污染识别及监测等方面的应用,对矿区高光谱发展前景进行了展望,认为矿区高光谱机理研究仍需提升,地面实测数据与无人机数据、卫星数据等多尺度空天地协同监测与智能感知体系的建立是未来努力的方向。

     

    Abstract: The exploitation of mineral resources has led to dramatic changes in the mining environment, which directly affects the ecological sustainability. In recent years, hyperspectral remote sensing has been widely used for environmental monitoring in mining areas as a result of its fine resolution and integrated map, which has solved the problem that traditional remote sensing can only identify objects of features on the surface. Many scholars have achieved some results in environmental hyperspectral remote sensing monitoring of mining areas so that a large amount of literature has been sorted out to expound the current situation of hyperspectrometric remote sensing research in mining areas at home and abroad. The advantages and disadvantages of the research data were summarized, and then the application of hyperspectral remote sensing technology in the version of physical and chemical parameters of vegetation, heavy metal content in the soil, water pollution identification and monitoring was induced. Finally, the prospect of hyperspectral development in mining areas was prospected. It was considered that the rational research of hyperspectral mechanisms in those areas still needs to be improved, and the establishment of multi-scale collaborative monitoring and intelligent perception system between ground measured data, unmanned aerial vehicle data and satellite data was the direction of future efforts.

     

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