Machine learning-based monitoring of land cover and reclamation plantations on coal-mined landscape using Sentinel 2 data
The rehabilitation of degraded coal-mined landscapes has recieved significant global attention due to its critical impact on ecological integrity, economic prosperity, and social development, aiming for zero net land degradation. This study examines the reclamation of coal mine overburdens through r...
Saved in:
| Main Authors: | Mayank Pandey, Alka Mishra, Singam L. Swamy, James T. Anderson, Tarun Kumar Thakur |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-02-01
|
| Series: | Environmental and Sustainability Indicators |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2665972725000066 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Soil quality trends across successive stages of post-coal mining reclamation
by: Zainal Arifin, et al.
Published: (2025-04-01) -
Microbial-mediated coal gangue reclamation: enhancing alfalfa growth with potassium and phosphorus-solubilizing bacteria
by: Wenzhe Gu, et al.
Published: (2025-05-01) -
Assessing Gonipterus defoliation levels using multispectral unmanned aerial vehicle (UAV) data in Eucalyptus plantations
by: Phumlani Nzuza, et al.
Published: (2025-12-01) -
The past, present and future of Konin Lignite Mine in central Poland
by: Kasztelewicz Zbigniew, et al.
Published: (2025-04-01) -
Model-Aware XGBoost Method Towards Optimum Performance of Flexible Distributed Raman Amplifier
by: Anand Prakash, et al.
Published: (2023-01-01)