Progress in the Remote Sensing Monitoring of the Ecological Environment in Mining Areas
文献类型：期刊论文
| 作者 | Song, Wen1,2; Song, Wei1; Gu, Haihong2,3,4; Li, Fuping2,3,4 |
| 刊名 | INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
 |
| 出版日期 | 2020-03-02 |
| 卷号 | 17期号:6页码:17 |
| 关键词 | mining areas remote sensing monitoring ecological environment review |
| DOI | 10.3390/ijerph17061846 |
| 通讯作者 | Song, Wei(songw@igsnrr.ac.cn) |
| 英文摘要 | 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. |
| WOS关键词 | HIGH-RESOLUTION ; RISK-ASSESSMENT ; HEAVY-METALS ; LONG-TERM ; SUSTAINABLE DEVELOPMENT ; VEGETATION INDEX ; POLLUTION RISK ; SATELLITE DATA ; LAND-USE ; SOIL |
| 资助项目 | Natural Science Foundation of Hebei Province, China[E2015209300] ; Educational Commission of Hebei Province, China[BJ2014029] ; Scientific and Technological Research Foundation for the Selected Returned Overseas Chinese Scholars, Department of Human Resources and Social Security of Hebei, China[CL201633] ; Science and Technology Planning Key Project of Tangshan, China[19150247E] |
| WOS研究方向 | Environmental Sciences & Ecology ; Public, Environmental & Occupational Health |
| 语种 | 英语 |
| WOS记录号 | WOS:000529342300036 |
| 出版者 | MDPI |
| 资助机构 | Natural Science Foundation of Hebei Province, China ; Educational Commission of Hebei Province, China ; Scientific and Technological Research Foundation for the Selected Returned Overseas Chinese Scholars, Department of Human Resources and Social Security of Hebei, China ; Science and Technology Planning Key Project of Tangshan, China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/159472]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Song, Wei |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China 2.North China Univ Sci & Technol, Coll Min Engn, Tangshan 063210, Peoples R China 3.Hebei Key Lab Min Dev & Secur Technol, Tangshan 063210, Peoples R China 4.Hebei Ind Technol Inst Mine Ecol Remediat, Tangshan 063210, Peoples R China |
| 推荐引用方式 GB/T 7714 | Song, Wen,Song, Wei,Gu, Haihong,et al. Progress in the Remote Sensing Monitoring of the Ecological Environment in Mining Areas[J]. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH,2020,17(6):17. |
| APA | Song, Wen,Song, Wei,Gu, Haihong,&Li, Fuping.(2020).Progress in the Remote Sensing Monitoring of the Ecological Environment in Mining Areas.INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH,17(6),17. |
| MLA | Song, Wen,et al."Progress in the Remote Sensing Monitoring of the Ecological Environment in Mining Areas".INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 17.6(2020):17. |
入库方式： OAI收割
来源：地理科学与资源研究所
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