Spatial Information Research

, Volume 27, Issue 6, pp 681–693 | Cite as

Geospatial analysis for the assessment of mine land reclamation area: a case study of Noamundi Block, Jharkhand

  • Kunal Kanti MaitiEmail author
  • Jatisankar Bandyopadhyay
  • Debashish Chakravarty
  • Subha Das
  • Sonjay Mondal


Reclamation consists of modifying the disturbed land and returning it to a more natural state of hills, grasslands, forests and lakes for the benefit of future generations. This study analyzed the change of land use and land cover in the Noamundi block (West Singhbhum district, Jharkhand), India. This paper demonstrates the impact of mining on the natural environment in this area by using three images of the Landsat missions from 2003, 2011 and 2017 which were processed by the supervised image classification (8 classes). By comparing the classified images this paper retrieve the absolute and relative change of land use and land cover in the study area. An accuracy assessment is performed to describe the quality of the classification. The maximum increase of agricultural areas is detected with a decrease in forest areas.


- Reclamation LU/LC Noamundi Mining Landsat 



The authors are thankful to Deputy Director of District Mines Chaibasa, DFO Saranda, TATA Steel Noamundi, SAIL-Meghahatuburu, SAIL-Gua and Range officer of Gua forest for support and assistance in the field data collection and also thanks to the editor and unknown reviewers for their helpful comments and suggestions.


  1. 1.
    Kitula, A. G. N. (2006). The environmental and socio-economic impacts of mining on local livelihoods in Tanzania: A case study of Geita District. Journal of Cleaner Production,14(3–4), 405–414.CrossRefGoogle Scholar
  2. 2.
    Das, N. (2015). Socio-economic impact of mining on rural communities: A study of the IB valley coalfield in Odisha, Doctoral dissertation.Google Scholar
  3. 3.
    Townsend, P. A., Helmers, D. P., Kingdon, C. C., McNeil, B. E., de Beurs, K. M., & Eshleman, K. N. (2009). Changes in the extent of surface mining and reclamation in the Central Appalachians detected using a 1976–2006 Landsat time series. Remote Sensing of Environment,113(1), 62–72.CrossRefGoogle Scholar
  4. 4.
    Goswami, S. (2015). Coal mining and indigenous communities: A case study of Jharia coalfields. European Journal of Economic Studies,3, 139–146.CrossRefGoogle Scholar
  5. 5.
    Mondal, S., Maiti, K. K., Chakravarty, D., & Bandyopadhyay, J. (2016). Detecting risk buffer zone in open-cast mining areas:A case study of Sonepur–Bajari, West Bengal, India. Spatial Information Research,24(6), 649–658.CrossRefGoogle Scholar
  6. 6.
    Kumar, G. S., & Reddy, A. N. (2016). Application of remote sensing to assess environmental impact of limestone mining in the Ariyalur district of Tamilnadu, India. Journal of Geomatics10(2), 158–163.Google Scholar
  7. 7.
    Ranjan, V., Sen, P., Kumar, D., & Singh, B. (2016). Reclamation and rehabilitation of waste dump by eco-restoration techniques at Thakurani iron ore mines in Odisha. International Journal of Mining and Mineral Engineering,7(3), 253–264.CrossRefGoogle Scholar
  8. 8.
    Ganas, A., Aerts, J. C. J. H., Astaras, T., Vente, J. D., Frogoudakis, E., Lambrinos, N., et al. (2004). The use of Earth observation and decision support systems in the restoration of open-cast nickel mines in Evia, central Greece. International Journal of Remote Sensing,25(16), 3261–3274.CrossRefGoogle Scholar
  9. 9.
    Koruyan, K., Deliormanli, A. H., Karaca, Z., Momayez, M., Lu, H., & Yalçin, E. (2012). Remote sensing in management of mining land and proximate habitat. Journal of the Southern African Institute of Mining and Metallurgy,112(7), 667–672.Google Scholar
  10. 10.
    Prakash, A., & Gupta, R. P. (1998). Land-use mapping and change detection in a coal mining area-a case study in the Jharia coalfield. India. International Journal of Remote Sensing,19(3), 391–410.CrossRefGoogle Scholar
  11. 11.
    Petropoulos, G. P., Partsinevelos, P., & Mitraka, Z. (2013). Change detection of surface mining activity and reclamation based on a machine learning approach of multi-temporal Landsat TM imagery. Geocarto International,28(4), 323–342.CrossRefGoogle Scholar
  12. 12.
    Hand book "Geological and Lease Hold Map of Iron Ore Area of West Singhbhum District, Jharkhand; published by Department of Mines & Geology".Google Scholar
  13. 13.
    Lillesand, T., Kiefer, R. W., & Chipman, J. (2014). Remote sensing and image interpretation. New York: Wiley.Google Scholar
  14. 14.
    Karan, S. K., & Samadder, S. R. (2016). Accuracy of land use change detection using support vector machine and maximum likelihood techniques for open-cast coal mining areas. Environmental monitoring and assessment,188(8), 486.CrossRefGoogle Scholar
  15. 15.
    Mondal, S., Bandyopadhyay, J., & Chakravarty, D. (2015). Land Information System using cadastral techniques, Mining Area of Raniganj, Barddhaman district, India. International Journal of Remote Sensing Application (IJRSA),5, 45–53.CrossRefGoogle Scholar
  16. 16.
    Technical report on “Noamundi Iron Mine, M/S Tata Steel Ltd, (IBM)”.

Copyright information

© Korean Spatial Information Society 2019

Authors and Affiliations

  • Kunal Kanti Maiti
    • 1
    Email author
  • Jatisankar Bandyopadhyay
    • 1
  • Debashish Chakravarty
    • 2
  • Subha Das
    • 1
  • Sonjay Mondal
    • 1
  1. 1.Department of Remote Sensing and GISVidyasagar UniversityMidnaporeIndia
  2. 2.Department of Mining EngineeringIndian Institute of TechnologyKharagpurIndia

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