Monitoring and Evaluating Restoration Vegetation Status in Mine Region Using Remote Sensing Data: Case Study in Inner Mongolia, China
The ecological restoration of mining areas is very important, and repeated field surveys are inefficient in large-scale vegetation monitoring. The coal mining industry is currently facing the challenge of the lack of appropriate methods for monitoring restoration processes. This study used an open p...
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| Format: | Article |
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MDPI AG
2021-04-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/13/7/1350 |
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| author | Wei Wang Rongyuan Liu Fuping Gan Ping Zhou Xiangwen Zhang Ling Ding |
| author_facet | Wei Wang Rongyuan Liu Fuping Gan Ping Zhou Xiangwen Zhang Ling Ding |
| author_sort | Wei Wang |
| collection | DOAJ |
| description | The ecological restoration of mining areas is very important, and repeated field surveys are inefficient in large-scale vegetation monitoring. The coal mining industry is currently facing the challenge of the lack of appropriate methods for monitoring restoration processes. This study used an open pit coal mine in Dongsheng District, Inner Mongolia, China as an example, and used the 2011–2018 Landsat TM/ETM+ and OLI images to monitor and evaluate vegetation restoration activity of the coal mine. The average value of the monthly maximum value of vegetation index in the growing season was selected as the basic indicator for studying vegetation and bare soil changes. The growth root normalized differential vegetation index (<i>GRNDVI</i>) and <i>GRNDVI</i> anomaly method indicated that the constructed land type change factor was used to study the growth of mine vegetation and change of the range of bare land in the entire mining region. We found that westward mining activities started from 2012, and vegetation was restored in the eastern original mining region from 2013. The restoration vegetation areas from 2015 to 2016 and from 2017 to 2018 were larger than those in the other restoration years. Moreover, areas of expanded bare land from 2011 to 2012, and from 2017 to 2018 were larger than those in the other expansion years. The restoration vegetation growth changes were compared with those of the natural vegetation growth. Results showed that the restoration vegetation growth trend was considerably similar with that of the natural vegetation. Inter-annual restoration effects were analyzed by constructing the effect of the area-average factor and using vegetation growth data. Accordingly, the restoration vegetation effects were best in 2014 and 2016. Comprehensive restoration effect was analyzed using the weighted evaluation method to obtain the overall restoration effects of the coal mine. Results showed that the comprehensive restoration effect is inclined to the inferior growth state. This study conducted a preliminary evaluation of mine restoration vegetation, thereby providing a promising way for the future monitoring and evaluation of such processes. |
| first_indexed | 2024-03-10T12:40:33Z |
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| institution | Directory Open Access Journal |
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| language | English |
| last_indexed | 2024-03-10T12:40:33Z |
| publishDate | 2021-04-01 |
| publisher | MDPI AG |
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| series | Remote Sensing |
| spelling | doaj.art-5765e6fed8f547b2b38141354da62ac52023-11-21T13:52:47ZengMDPI AGRemote Sensing2072-42922021-04-01137135010.3390/rs13071350Monitoring and Evaluating Restoration Vegetation Status in Mine Region Using Remote Sensing Data: Case Study in Inner Mongolia, ChinaWei Wang0Rongyuan Liu1Fuping Gan2Ping Zhou3Xiangwen Zhang4Ling Ding5China Aero Geophysical Survey and Remote Sensing Center for Natural Resources, Beijing 100083, ChinaChina Aero Geophysical Survey and Remote Sensing Center for Natural Resources, Beijing 100083, ChinaChina Aero Geophysical Survey and Remote Sensing Center for Natural Resources, Beijing 100083, ChinaSchool of Earth Sciences and Resources, China University of Geosciences-Beijing, Beijing 100083, ChinaChina Aero Geophysical Survey and Remote Sensing Center for Natural Resources, Beijing 100083, ChinaChina Aero Geophysical Survey and Remote Sensing Center for Natural Resources, Beijing 100083, ChinaThe ecological restoration of mining areas is very important, and repeated field surveys are inefficient in large-scale vegetation monitoring. The coal mining industry is currently facing the challenge of the lack of appropriate methods for monitoring restoration processes. This study used an open pit coal mine in Dongsheng District, Inner Mongolia, China as an example, and used the 2011–2018 Landsat TM/ETM+ and OLI images to monitor and evaluate vegetation restoration activity of the coal mine. The average value of the monthly maximum value of vegetation index in the growing season was selected as the basic indicator for studying vegetation and bare soil changes. The growth root normalized differential vegetation index (<i>GRNDVI</i>) and <i>GRNDVI</i> anomaly method indicated that the constructed land type change factor was used to study the growth of mine vegetation and change of the range of bare land in the entire mining region. We found that westward mining activities started from 2012, and vegetation was restored in the eastern original mining region from 2013. The restoration vegetation areas from 2015 to 2016 and from 2017 to 2018 were larger than those in the other restoration years. Moreover, areas of expanded bare land from 2011 to 2012, and from 2017 to 2018 were larger than those in the other expansion years. The restoration vegetation growth changes were compared with those of the natural vegetation growth. Results showed that the restoration vegetation growth trend was considerably similar with that of the natural vegetation. Inter-annual restoration effects were analyzed by constructing the effect of the area-average factor and using vegetation growth data. Accordingly, the restoration vegetation effects were best in 2014 and 2016. Comprehensive restoration effect was analyzed using the weighted evaluation method to obtain the overall restoration effects of the coal mine. Results showed that the comprehensive restoration effect is inclined to the inferior growth state. This study conducted a preliminary evaluation of mine restoration vegetation, thereby providing a promising way for the future monitoring and evaluation of such processes.https://www.mdpi.com/2072-4292/13/7/1350restoration vegetationcoal mineLandsat data<i>GRNDVI</i> anomaly methodvegetation growth |
| spellingShingle | Wei Wang Rongyuan Liu Fuping Gan Ping Zhou Xiangwen Zhang Ling Ding Monitoring and Evaluating Restoration Vegetation Status in Mine Region Using Remote Sensing Data: Case Study in Inner Mongolia, China Remote Sensing restoration vegetation coal mine Landsat data <i>GRNDVI</i> anomaly method vegetation growth |
| title | Monitoring and Evaluating Restoration Vegetation Status in Mine Region Using Remote Sensing Data: Case Study in Inner Mongolia, China |
| title_full | Monitoring and Evaluating Restoration Vegetation Status in Mine Region Using Remote Sensing Data: Case Study in Inner Mongolia, China |
| title_fullStr | Monitoring and Evaluating Restoration Vegetation Status in Mine Region Using Remote Sensing Data: Case Study in Inner Mongolia, China |
| title_full_unstemmed | Monitoring and Evaluating Restoration Vegetation Status in Mine Region Using Remote Sensing Data: Case Study in Inner Mongolia, China |
| title_short | Monitoring and Evaluating Restoration Vegetation Status in Mine Region Using Remote Sensing Data: Case Study in Inner Mongolia, China |
| title_sort | monitoring and evaluating restoration vegetation status in mine region using remote sensing data case study in inner mongolia china |
| topic | restoration vegetation coal mine Landsat data <i>GRNDVI</i> anomaly method vegetation growth |
| url | https://www.mdpi.com/2072-4292/13/7/1350 |
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