Monitoring the Characteristics of Ecological Cumulative Effect Due to Mining Disturbance Utilizing Remote Sensing
This study conducted land cover classification and inversion analysis to estimate land surface temperature, soil moisture, specific humidity, atmospheric water vapor density, and relative humidity using remote sensing and multi-source mining data. Using 1990–2020 data from the Shendong mining area i...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-12-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/13/24/5034 |
| _version_ | 1797501008981524480 |
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| author | Quansheng Li Junting Guo Fei Wang Ziheng Song |
| author_facet | Quansheng Li Junting Guo Fei Wang Ziheng Song |
| author_sort | Quansheng Li |
| collection | DOAJ |
| description | This study conducted land cover classification and inversion analysis to estimate land surface temperature, soil moisture, specific humidity, atmospheric water vapor density, and relative humidity using remote sensing and multi-source mining data. Using 1990–2020 data from the Shendong mining area in Inner Mongolia, China, the eco-environmental evolution and the ecological cumulative effects (ECE) of mining operations were characterized and analyzed at a long-term scale. The results show that while the eco-environment was generally stable, mining activities affected the eco-environment at the initial stage (1990–2000) to a certain degree. During the rapid development stage of coal mining, the eco-environment was severely damaged, and the ECE were significant at the temporal scale. The absolute value of the change rate of ecological parameters was increasing. Due to an increased focus on ecological restoration, starting in 2010, the environmental indicators gradually stabilized and the eco-environment improved considerably, ushering in a period of stability for coal mining activities. The absolute value of the change rate of ecological parameters became stable. Analysis of the change in eco-environmental indicators with distance and comparison to the contrast area showed the ECE characteristics from mining disturbance at the spatial scale. This study shows that remote sensing technology can be used to characterize the ECE from mining operations and analyze eco-environmental indicators, providing crucial information in support of ecological protection and restoration, particularly in coal mining areas. |
| first_indexed | 2024-03-10T03:12:06Z |
| format | Article |
| id | doaj.art-ec74dd335f0a47e88b7a187e58c7c6ad |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-10T03:12:06Z |
| publishDate | 2021-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-ec74dd335f0a47e88b7a187e58c7c6ad2023-11-23T10:23:54ZengMDPI AGRemote Sensing2072-42922021-12-011324503410.3390/rs13245034Monitoring the Characteristics of Ecological Cumulative Effect Due to Mining Disturbance Utilizing Remote SensingQuansheng Li0Junting Guo1Fei Wang2Ziheng Song3State Key Laboratory of Water Resource Protection and Utilization in Coal Mining, Beijing 102209, ChinaState Key Laboratory of Water Resource Protection and Utilization in Coal Mining, Beijing 102209, ChinaState Key Laboratory of Water Resource Protection and Utilization in Coal Mining, Beijing 102209, ChinaState Key Laboratory of Water Resource Protection and Utilization in Coal Mining, Beijing 102209, ChinaThis study conducted land cover classification and inversion analysis to estimate land surface temperature, soil moisture, specific humidity, atmospheric water vapor density, and relative humidity using remote sensing and multi-source mining data. Using 1990–2020 data from the Shendong mining area in Inner Mongolia, China, the eco-environmental evolution and the ecological cumulative effects (ECE) of mining operations were characterized and analyzed at a long-term scale. The results show that while the eco-environment was generally stable, mining activities affected the eco-environment at the initial stage (1990–2000) to a certain degree. During the rapid development stage of coal mining, the eco-environment was severely damaged, and the ECE were significant at the temporal scale. The absolute value of the change rate of ecological parameters was increasing. Due to an increased focus on ecological restoration, starting in 2010, the environmental indicators gradually stabilized and the eco-environment improved considerably, ushering in a period of stability for coal mining activities. The absolute value of the change rate of ecological parameters became stable. Analysis of the change in eco-environmental indicators with distance and comparison to the contrast area showed the ECE characteristics from mining disturbance at the spatial scale. This study shows that remote sensing technology can be used to characterize the ECE from mining operations and analyze eco-environmental indicators, providing crucial information in support of ecological protection and restoration, particularly in coal mining areas.https://www.mdpi.com/2072-4292/13/24/5034ecological cumulative effectcoal mining areaquantitative remote sensingecology and environmentland surface temperaturesoil moisture |
| spellingShingle | Quansheng Li Junting Guo Fei Wang Ziheng Song Monitoring the Characteristics of Ecological Cumulative Effect Due to Mining Disturbance Utilizing Remote Sensing Remote Sensing ecological cumulative effect coal mining area quantitative remote sensing ecology and environment land surface temperature soil moisture |
| title | Monitoring the Characteristics of Ecological Cumulative Effect Due to Mining Disturbance Utilizing Remote Sensing |
| title_full | Monitoring the Characteristics of Ecological Cumulative Effect Due to Mining Disturbance Utilizing Remote Sensing |
| title_fullStr | Monitoring the Characteristics of Ecological Cumulative Effect Due to Mining Disturbance Utilizing Remote Sensing |
| title_full_unstemmed | Monitoring the Characteristics of Ecological Cumulative Effect Due to Mining Disturbance Utilizing Remote Sensing |
| title_short | Monitoring the Characteristics of Ecological Cumulative Effect Due to Mining Disturbance Utilizing Remote Sensing |
| title_sort | monitoring the characteristics of ecological cumulative effect due to mining disturbance utilizing remote sensing |
| topic | ecological cumulative effect coal mining area quantitative remote sensing ecology and environment land surface temperature soil moisture |
| url | https://www.mdpi.com/2072-4292/13/24/5034 |
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