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Quantitative assessment of landscape transformation due to coal mining activity using earth observation satellite data in Jharsuguda coal mining region, Odisha, India

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  • Avinash Kumar Ranjan

    (National Institute of Technology)

  • Debasmita Sahoo

    (National Institute of Technology)

  • A. K. Gorai

    (National Institute of Technology)

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.

Suggested Citation

  • Avinash Kumar Ranjan & Debasmita Sahoo & A. K. Gorai, 2021. "Quantitative assessment of landscape transformation due to coal mining activity using earth observation satellite data in Jharsuguda coal mining region, Odisha, India," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(3), pages 4484-4499, March.
    • Handle: RePEc:spr:endesu:v:23:y:2021:i:3:d:10.1007_s10668-020-00784-0
    DOI: 10.1007/s10668-020-00784-0
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    References listed on IDEAS

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    1. Chen Liping & Sun Yujun & Sajjad Saeed, 2018. "Monitoring and predicting land use and land cover changes using remote sensing and GIS techniques—A case study of a hilly area, Jiangle, China," PLOS ONE, Public Library of Science, vol. 13(7), pages 1-23, July.
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    1. Avinash Kumar Ranjan & Bikash Ranjan Parida & Jadunandan Dash & Amit Kumar Gorai, 2023. "Evaluating Impacts of Opencast Stone Mining on Vegetation Primary Production and Transpiration over Rajmahal Hills," Sustainability, MDPI, vol. 15(10), pages 1-22, May.

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