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

环境监测 遥感 环境科学 植被(病理学) 土地覆盖 土地利用 环境资源管理 地理 生态学 环境工程 医学 生物 病理
作者
Wen Song,Wei Song,Hai-Hong Gu,Fuping Li
出处
期刊:International Journal of Environmental Research and Public Health [MDPI AG]
卷期号:17 (6): 1846-1846 被引量:91
标识
DOI:10.3390/ijerph17061846
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.

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