Quantitative assessment of landscape transformation due to coal mining activity using earth observation satellite data in Jharsuguda coal mining region, Odisha, India
Avinash Kumar Ranjan,
Debasmita Sahoo and
A. K. Gorai ()
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Avinash Kumar Ranjan: National Institute of Technology
Debasmita Sahoo: National Institute of Technology
A. K. Gorai: National Institute of Technology
Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, 2021, vol. 23, issue 3, No 75, 4484-4499
Abstract:
Abstract Opencast (coal) mining activities significantly affect the society and environment in several aspects, including land-useland-cover (LULC) alteration. The present study aims to quantify the alteration in LULC patterns in every 4 year from 2006 to 2018 in the Jharsuguda coal mining region in Odisha, India. The study has used the multitemporal Landsat series satellite data for LULC classification. A support vector machine algorithm was designed for LULC classifications into five broad classes, viz. water body, mining area, forest/vegetation area, bare land, and built-up area. The key findings of the study indicated that the coverage of mining area was gradually increased from 2006 to 2018 with an annual change rate of + 0.03%. On the other hand, a significant loss in the forest cover/vegetation was observed with the annual change rate of − 0.04% from 2006 to 2018. The remarkable increment in the coverage of bare land area was also noted during the study period. The mining activity has posed a serious threat to the forest resources over the study region. Hence, a proper management policy for mine reclamation should be practised over the Jharsuguda coal mining region to protect the forest, environment, and society.
Keywords: Remote sensing (RS); Land use–land cover (LULC); SVM; Coal mining (search for similar items in EconPapers)
Date: 2021
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DOI: 10.1007/s10668-020-00784-0
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