Cargando…

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

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Song, Wen, Song, Wei, Gu, Haihong, Li, Fuping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7142410/
https://www.ncbi.nlm.nih.gov/pubmed/32178376
http://dx.doi.org/10.3390/ijerph17061846
_version_ 1783519374851702784
author Song, Wen
Song, Wei
Gu, Haihong
Li, Fuping
author_facet Song, Wen
Song, Wei
Gu, Haihong
Li, Fuping
author_sort Song, Wen
collection PubMed
description 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.
format Online
Article
Text
id pubmed-7142410
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-71424102020-04-15 Progress in the Remote Sensing Monitoring of the Ecological Environment in Mining Areas Song, Wen Song, Wei Gu, Haihong Li, Fuping Int J Environ Res Public Health Review 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. MDPI 2020-03-12 2020-03 /pmc/articles/PMC7142410/ /pubmed/32178376 http://dx.doi.org/10.3390/ijerph17061846 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Song, Wen
Song, Wei
Gu, Haihong
Li, Fuping
Progress in the Remote Sensing Monitoring of the Ecological Environment in Mining Areas
title Progress in the Remote Sensing Monitoring of the Ecological Environment in Mining Areas
title_full Progress in the Remote Sensing Monitoring of the Ecological Environment in Mining Areas
title_fullStr Progress in the Remote Sensing Monitoring of the Ecological Environment in Mining Areas
title_full_unstemmed Progress in the Remote Sensing Monitoring of the Ecological Environment in Mining Areas
title_short Progress in the Remote Sensing Monitoring of the Ecological Environment in Mining Areas
title_sort progress in the remote sensing monitoring of the ecological environment in mining areas
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7142410/
https://www.ncbi.nlm.nih.gov/pubmed/32178376
http://dx.doi.org/10.3390/ijerph17061846
work_keys_str_mv AT songwen progressintheremotesensingmonitoringoftheecologicalenvironmentinminingareas
AT songwei progressintheremotesensingmonitoringoftheecologicalenvironmentinminingareas
AT guhaihong progressintheremotesensingmonitoringoftheecologicalenvironmentinminingareas
AT lifuping progressintheremotesensingmonitoringoftheecologicalenvironmentinminingareas