Remote Sensing Monitoring of Vegetation Reclamation in the Antaibao Open-Pit Mine
After the regreening of the open-pit mine dump, vegetation usually needs to be managed and protected manually for several years before it reaches stability. Due to the spontaneous combustion of coal gangue, surface collapse, and other reasons, secondary damage may occur at any time. Regreening monit...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-11-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/14/22/5634 |
| _version_ | 1797464090750222336 |
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| author | Jiameng Hu Baoying Ye Zhongke Bai Yu Feng |
| author_facet | Jiameng Hu Baoying Ye Zhongke Bai Yu Feng |
| author_sort | Jiameng Hu |
| collection | DOAJ |
| description | After the regreening of the open-pit mine dump, vegetation usually needs to be managed and protected manually for several years before it reaches stability. Due to the spontaneous combustion of coal gangue, surface collapse, and other reasons, secondary damage may occur at any time. Regreening monitoring plays a vital role in the restoration and reconstruction of the mining ecosystem and can provide support for the timely replenishment of seedlings in the damaged area. In this study, remote sensing images were collected from 1986 to 2020 to obtain the NDVI distribution of dumps in the Antaibao open-pit coal mine. In order to obtain the overall growth law of regreening vegetation over time, the study adopted the unary regression analysis method and tested the correlation between NDVI and time by the Pearson correlation coefficient. However, through the Sen+Mann–Kendall trend analysis, it was found that there were differences in the trends of NDVI within the same dump. Next, by means of the Mann–Kendall mutation test and interactive interpretation, information, such as stable nodes of different regreening vegetation and vegetation growth patterns in degraded areas, were obtained. Through the above methods, the following conclusions were drawn: (1) The earlier the dumps were regreened, the more the areas were covered by significantly improved vegetation. In this study: 97.31% (the proportion of significantly improved vegetation in the south dump) >95.58% (the proportion in the west dump) >86.56% (the proportion in the inner dump) >79.89% (the proportion in the west expansion dump). (2) Different vegetation types have different time nodes for reaching stability. It takes about three years for wood, shrub, and a mix of grass, shrub, and wood to reach stability, but only one year for grass. (3) The destruction in mining areas is expansive and repeatable. Monitoring the growth patterns of regreening vegetation is conducive to understanding the reclamation effect, and provides a scientific basis for land reclamation planning and land management policies in the mining area. At the same time, the trend analysis method in this study can quickly extract problem areas after dump regreening and is applicable in most dumps. |
| first_indexed | 2024-03-09T18:02:56Z |
| format | Article |
| id | doaj.art-5dc54ed4314f484293fe03028961de89 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-09T18:02:56Z |
| publishDate | 2022-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-5dc54ed4314f484293fe03028961de892023-11-24T09:48:00ZengMDPI AGRemote Sensing2072-42922022-11-011422563410.3390/rs14225634Remote Sensing Monitoring of Vegetation Reclamation in the Antaibao Open-Pit MineJiameng Hu0Baoying Ye1Zhongke Bai2Yu Feng3School of Land Science and Technology, China University of Geosciences, Beijing 100083, ChinaSchool of Land Science and Technology, China University of Geosciences, Beijing 100083, ChinaSchool of Land Science and Technology, China University of Geosciences, Beijing 100083, ChinaSchool of Land Science and Technology, China University of Geosciences, Beijing 100083, ChinaAfter the regreening of the open-pit mine dump, vegetation usually needs to be managed and protected manually for several years before it reaches stability. Due to the spontaneous combustion of coal gangue, surface collapse, and other reasons, secondary damage may occur at any time. Regreening monitoring plays a vital role in the restoration and reconstruction of the mining ecosystem and can provide support for the timely replenishment of seedlings in the damaged area. In this study, remote sensing images were collected from 1986 to 2020 to obtain the NDVI distribution of dumps in the Antaibao open-pit coal mine. In order to obtain the overall growth law of regreening vegetation over time, the study adopted the unary regression analysis method and tested the correlation between NDVI and time by the Pearson correlation coefficient. However, through the Sen+Mann–Kendall trend analysis, it was found that there were differences in the trends of NDVI within the same dump. Next, by means of the Mann–Kendall mutation test and interactive interpretation, information, such as stable nodes of different regreening vegetation and vegetation growth patterns in degraded areas, were obtained. Through the above methods, the following conclusions were drawn: (1) The earlier the dumps were regreened, the more the areas were covered by significantly improved vegetation. In this study: 97.31% (the proportion of significantly improved vegetation in the south dump) >95.58% (the proportion in the west dump) >86.56% (the proportion in the inner dump) >79.89% (the proportion in the west expansion dump). (2) Different vegetation types have different time nodes for reaching stability. It takes about three years for wood, shrub, and a mix of grass, shrub, and wood to reach stability, but only one year for grass. (3) The destruction in mining areas is expansive and repeatable. Monitoring the growth patterns of regreening vegetation is conducive to understanding the reclamation effect, and provides a scientific basis for land reclamation planning and land management policies in the mining area. At the same time, the trend analysis method in this study can quickly extract problem areas after dump regreening and is applicable in most dumps.https://www.mdpi.com/2072-4292/14/22/5634regreening monitoringNDVIunary regression analysisSen+Mann–Kendall trend analysisMann–Kendall mutation testinteractive interpretation |
| spellingShingle | Jiameng Hu Baoying Ye Zhongke Bai Yu Feng Remote Sensing Monitoring of Vegetation Reclamation in the Antaibao Open-Pit Mine Remote Sensing regreening monitoring NDVI unary regression analysis Sen+Mann–Kendall trend analysis Mann–Kendall mutation test interactive interpretation |
| title | Remote Sensing Monitoring of Vegetation Reclamation in the Antaibao Open-Pit Mine |
| title_full | Remote Sensing Monitoring of Vegetation Reclamation in the Antaibao Open-Pit Mine |
| title_fullStr | Remote Sensing Monitoring of Vegetation Reclamation in the Antaibao Open-Pit Mine |
| title_full_unstemmed | Remote Sensing Monitoring of Vegetation Reclamation in the Antaibao Open-Pit Mine |
| title_short | Remote Sensing Monitoring of Vegetation Reclamation in the Antaibao Open-Pit Mine |
| title_sort | remote sensing monitoring of vegetation reclamation in the antaibao open pit mine |
| topic | regreening monitoring NDVI unary regression analysis Sen+Mann–Kendall trend analysis Mann–Kendall mutation test interactive interpretation |
| url | https://www.mdpi.com/2072-4292/14/22/5634 |
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