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Remote Sensing for Surface Coal Mining and Reclamation Monitoring in the Central Salt Range, Punjab, Pakistan.

Authors :
Ali, Nafees
Fu, Xiaodong
Ashraf, Umar
Chen, Jian
Thanh, Hung Vo
Anees, Aqsa
Riaz, Muhammad Shahid
Fida, Misbah
Hussain, Muhammad Afaq
Hussain, Sadam
Hussain, Wakeel
Ahmed, Awais
Source :
Sustainability (2071-1050); Aug2022, Vol. 14 Issue 16, p9835-9835, 26p
Publication Year :
2022

Abstract

The expansion and exploitation of mining resources are essential for social and economic growth. Remote sensing provides vital tools for surface-mining monitoring operations as well as for reclamation efforts in the central Salt Range of the Indus River Basin, Pakistan. This research demonstrates the applicability of remote sensing techniques to the coal mining monitoring scheme to allow for effective and efficient monitoring and to offset the adverse consequences of coal mining activities. Landsat 8 OLI images from June 2019 and 2020, and a Landsat 7 ETM+ image from June 2002, were used for this study. A three-phase methodology including Normalized Difference Vegetation Index (NDVI) analysis, land cover mapping, and change detection approaches was adopted. Image classification based on Tasseled Cap Transformation and the brightness temperature At-satellite using the K-means algorithm was implemented in a GIS program to identify seven land cover classes within the study area. The results show some level of surface disturbance to the landscape due to the coal mining reclamation activities that had taken place over the 18-year time period. From 2019 to 2020, about 3.622 km<superscript>2</superscript> of coal mines or barren land were converted into bare agricultural land. Over the years, it was also observed that reclamation areas exhibited higher values of NDVI than coal mining areas. The mean NDVI for coal mining areas was 0.252 km<superscript>2</superscript>, and for areas of reclamation, it was 0.292 km<superscript>2</superscript> in 2020, while in 2019, the value for coal mining sites was 0.133 km<superscript>2</superscript>, and 0.163 km<superscript>2</superscript> for reclamation sites. This trend suggests that coal-mining operations can be monitored using satellite data, and the progress of reclamation efforts can be assessed using satellite NDVI data from the target locations. This study is beneficial to agencies responsible for monitoring land cover changes in a coal mine because it provides a cost-effective, efficient, and robust scientific tool for making mine site allocation decisions and for monitoring the progress of reclamation efforts. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20711050
Volume :
14
Issue :
16
Database :
Complementary Index
Journal :
Sustainability (2071-1050)
Publication Type :
Academic Journal
Accession number :
158946878
Full Text :
https://doi.org/10.3390/su14169835