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Progress in the Remote Sensing Monitoring of the Ecological Environment in Mining Areas

机译:矿区生态环境遥感监测研究进展。

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摘要

Based on the results of an extensive literature research, we summarize the research progress of remote sensing monitoring in terms of identifying mining area boundaries and monitoring land use or land cover changes of mining areas. We also analyze the application of remote sensing in monitoring the biodiversity, landscape structure, vegetation change, soil environment, surface runoff conditions, and the atmospheric environment in mining areas and predict the prospects of remote sensing in monitoring the ecological environment in mining areas. Based on the results, the accurate classification of land use or land cover and the accurate extraction of environmental factors are the basis for remote sensing monitoring of the ecological environment in mining areas. In terms of the extraction of ecological factors, vegetation extraction is relatively advanced in contrast to the extraction of animal and microbial data. For the monitoring of environmental conditions of mining areas, sophisticated methods are available to identify pollution levels of vegetation and to accurately monitor soil quality. However, the methods for water and air pollution monitoring in mining areas still need to be improved. These limitations considerably impede the application of remote sensing monitoring in mining areas. The solving of these problems depends on the progress of multi-source remote sensing data and stereoscopic monitoring techniques.
机译:基于大量文献研究的结果,我们从识别矿区边界和监测矿区土地利用或土地覆盖变化的角度总结了遥感监测的研究进展。我们还分析了遥感技术在监测矿区生物多样性,景观结构,植被变化,土壤环境,地表径流条件和大气环境中的应用,并预测了遥感在监测矿区生态环境方面的前景。根据结果​​,对土地利用或土地覆被的正确分类以及对环境因素的准确提取是对矿区生态环境进行遥感监测的基础。在提取生态因子方面,与提取动物和微生物数据相比,植被提取相对先进。为了监测矿区的环境状况,可以使用复杂的方法来识别植被的污染水平并准确监测土壤质量。但是,矿区水和空气污染的监测方法仍需改进。这些局限性严重阻碍了在矿区进行遥感监测。这些问题的解决取决于多源遥感数据和立体监测技术的进步。

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