Mapping and interpreting spatio-temporal trends in vegetation restoration following mining disturbances in large-scale surface coal mining areas DOI Creative Commons

Yaling Xu,

Guozhu Yang,

Yicong Zhang

et al.

Frontiers in Environmental Science, Journal Year: 2025, Volume and Issue: 13

Published: March 11, 2025

The direct removal of surface vegetation during coal mining has a negative impact on the surrounding ecological environment. Effective restoration is essential to mitigate these impacts. Therefore, accurate monitoring and assessment following disturbance critical for protection in areas. This study employs Detecting Breakpoints Estimating Segments Trend (DBEST) map historical patterns subsequent recovery at Shendong base. first large-scale application DBEST such purposes. To examine spatio-temporal trends post-mining restoration, Years Recovery (Y2R) amount NDVI were calculated based Normalized Difference Vegetation Index (NDVI) time-series. results show that an accuracy 0.90 detecting destruction 0.78 restoration. These findings highlight substantial potential this algorithm total area within base 449.65 km 2 , 156.62 . Between 1992 2017, 46.90% disturbed areas achieved 80% pre-mining level, exceeding average level China. Y2R was 4.68 years. Furthermore, showed initial increase followed by decline with longer values, suggesting while early efforts more effective, long-term efficiency decreased. finding emphasizes necessity concentrating process each stage planning implementation revegetation projects, particularly regarding difficulties associated crucial development comprehensive sustainable strategies.

Language: Английский

Mapping and interpreting spatio-temporal trends in vegetation restoration following mining disturbances in large-scale surface coal mining areas DOI Creative Commons

Yaling Xu,

Guozhu Yang,

Yicong Zhang

et al.

Frontiers in Environmental Science, Journal Year: 2025, Volume and Issue: 13

Published: March 11, 2025

The direct removal of surface vegetation during coal mining has a negative impact on the surrounding ecological environment. Effective restoration is essential to mitigate these impacts. Therefore, accurate monitoring and assessment following disturbance critical for protection in areas. This study employs Detecting Breakpoints Estimating Segments Trend (DBEST) map historical patterns subsequent recovery at Shendong base. first large-scale application DBEST such purposes. To examine spatio-temporal trends post-mining restoration, Years Recovery (Y2R) amount NDVI were calculated based Normalized Difference Vegetation Index (NDVI) time-series. results show that an accuracy 0.90 detecting destruction 0.78 restoration. These findings highlight substantial potential this algorithm total area within base 449.65 km 2 , 156.62 . Between 1992 2017, 46.90% disturbed areas achieved 80% pre-mining level, exceeding average level China. Y2R was 4.68 years. Furthermore, showed initial increase followed by decline with longer values, suggesting while early efforts more effective, long-term efficiency decreased. finding emphasizes necessity concentrating process each stage planning implementation revegetation projects, particularly regarding difficulties associated crucial development comprehensive sustainable strategies.

Language: Английский

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