Land use/land cover change detection analysis using remote sensing and GIS of Dhanbad distritct, India

Year 2018, Volume: 6 Issue: 2, 1 - 12, 21.06.2018

Ranjeet Kumar Singh Manmohan Singha Shailendra K. Singh Debjeet Pal Nimisha Tripathi Raj Shekar Singh

https://doi.org/10.31195/ejejfs.428381

Cited By: 9

Abstract

Mining and human activities
impacted the natural ecosystem leading to land use/land cover (LU/LC) change is
of great concern by environmentalist and the society. The present study
evaluated the LU/LC changes due to exploitation of coal in Dhanbad district of
India during the period of 1987 to 2017. Remote sensing (RS) data indicated that
out of 2043.32 ha LU/LC comprised of dense forest, low dense forest, open
scrub, agriculture land, agriculture fallow, barren land, sand, river, water
body, built-up and mining, constituted percent values of 8.17, 3.11, 39.51,
18.88, 12.69, 1.25, 0.76, 3.12, 2.88, 4.40 and 5.22 in 1987 and 4.69, 6.01,
15.78, 41.36, 9.97, 3.90, 2.55, 2.22, 1.43, 7.91, 4.18 in 2017 respectively.
The LU/LC during 30 years indicated the percent share of dense forest, open
scrub, agricultural fallow, river, water body and mining decreased by 42.63,
60.45, 21.47, 28.80, 50.37 and 19.85 % respectively.

Land use changes were due to harvesting of forest for fuel, shelter and
agriculture, construction of residential houses in fallow land, urbanization
and sand removal for construction material. The increase in low dense forest,
agricultural land, barren land, sand and built-up area by 93.38, 119.06,
211.63, 234.96 and 79.85 percent respectively were due to shift of land use
from forest to open scrub, agricultural fields and barren lands, new settlement
by utilizing sands from river banks making the river stretch wider, open mine
pits converted into water bodies in the district. These resulted in a
considerable change in land use pattern in Dhanbad district, Jharkhand, India.

Keywords

Land use pattern, Change detection, Remote sensing data, GIS, Dhanbad, Jharkhand

References

• Areendran, G., Rao, P., Raj, K., Mazumdar, S., Puri, K., 2013. Land use/land cover change dynamics analysis in mining areas of Singrauli district in Madhya Pradesh, India. Tropical Ecology. 54(2), 239–250.
• Balak, R., Kolarkar, A.S., 1993. Remote sensing application in monitoring land use changes in arid Rajasthan. Int. J. Remote Sens. 14 (17), 3191–3200.
• Baulies, X., Szejwach, G., 1997. LUCC Data Requirements Workshop Survey of Needs, Gaps and Priorities on Data for Land-Use/ Land-Cover Change Research Organized by IGBP/IHDP-LUCC and IGBP-DIS, Barcelona, Spain.
• CPMPDI, report, 2010. Land use/land cover mapping of Jharia Coalfield on satellite data for the year 2008. Report submitted to Coal India Limited in March 2010.
• Ghosh, R., 1989. Mining in Jharia coalfield, Eastern India: An estimation of its impact index Journal Geological society of India. 33, 253-360.
• http://cgwb.gov.in/District_Profile/Jharkhand/Dhanbad.pdf accessed 12 August, 2016.
• http://cpcb.nic.in/divisionsofheadoffice/ess/DHANBAD.pdf accessed 12 August, 2016.
• http://jsac.jharkhand.gov.in/Report_PDF/Land_Degradation/Land_Degradation_Report_Final
• .pdf, Dated 19 December 2016. National land degradation mapping project of Jharkhand state using multi-temporal satellite data. pp 37.
• Ibrahim, H.H., Elfaig A.H.I., J. Mokhtar, Egemi O., Abdelklreim, M., 2015. Land use/Land Cover detection in semi-arid lands: a study from Sudan-Ghubayash area: A GIS and remote sensing perspective. International journal of scientific and technology research. 4
• (5), 124-131.
• Jensen, J.R., 1995. Introductory Digital Image Processing: A Remote Sensing Perspective. 2 edn, Prentice Hall PTR, Upper Saddle River, NJ, USA. Lambin, E.F., Geist, H.J., Lepers, E., 2003. Dynamics of land use/ cover change in tropical regions. Annual Review of Environment and Resources. 28, 205–241.
• Liang, L., Gong, P., 2013. Evaluation of global land cover maps for cropland area estimation in the conterminous United States. International Journal of Digital Earth. 1–16. doi: 10.1080/17538947.2013.854414.
• Martha, T. R, Guha, A., Kumar, K.V, Kamaraju, M.V.V., Raju, E.V.R. 2010. Recent coal fire and land – use status of Jharia coalfield, India from satellite data. International journal of Remote sensing. 31 (12), 3243-3262.
• 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.
• Rathore, C.S., Wright, R., 1993. Monitoring environmental impacts of surface coal mining.
• International Journal of Remote Sensing. 14, 1021-1042.
• Rawat, J.S., Biswas, V. Kumar, M., 2013. Changes in land use/land cover using geospatial techniques: A case study of Ramnagar town area, district Nainital, Uttarakhand, India. The Egyptian Journal of Remote Sensing and Space Sciences. 16, 111-117.
• Saini, V., Gupta, R.P., Arora, M.K., 2016. Environmental impact studies on coalfields in India: A case study from Jharia Coal-field. Renewable and Sustainable Energy Reviews. 53, 1222- 1239.
• Singh, A., 1989. Digital change detection techniques using remotely sensed data.
• International Journal of Remote Sensing. 10(6), 989-1003.
• Singh, R.S, Singh, R.K., Bera, S., 2017. Impact of mining on the herbaceous ground cover and wild fauna in Birsha-Damoh forest range of Malanjkhand copper mines of India. Eurasian Journal of Forest Science. 5(1), 1-7
• Tripathi, N., Singh, R.S., 2009a. Influence of different land uses on soil nitrogen transformations after conversion from an Indian dry tropical forest. Catena. 77, 216-233.
• Tripathi, N., Singh, R.S., Singh, J.S., 2009b. Impact of post-mining subsidence on nitrogen transformation in Southern Tropical Dry Deciduous Forest, India. Environmental Research. 109
• (3), 258-266.
• Tripathi, N., Singh, R.S., Hills, C.D., 2016. Soil carbon development in rejuvenated Indian coal mine spoil. Ecological Engineering. 90, 482-490.
• Tripathi, N., Singh, R.S., Nathaniel, C.P., 2014. Mine spoil acts as a sink of Carbon dioxide in Indian Dry Tropical Environment. The science of the Total Environment, Elsevier, 468-469, 1162-1171.
• Usman, M., Liedl, R., Shahid, M.A., Abbas, A., 2015. Land use/Land cover classification and its change detection using multi-temporal MODIS NDVI data. Journal of Geographical sciences. 25 (12), 1479-1506. DOI: 10.1007/s11442-015-1247-y
• Wardlow, B.D., Egbert, S.L., Kastens, J.H., 2007. Analysis of time-series MODIS 250 m vegetation index data for crop classification in the U.S. Central Great Plains. Drought
• Mitigation Centre Faculty Publications. Paper 2. http://digitalcommons.unl.edu/droughtfacpub/2
• www.tradingeconomics.com/india/gdp-growth-annual. accessed 12 August, 2016.
• Zubair, A.O., 2006. Change detection in land use and Land cover using remote sensing data and GIS: a case study of Ilorin and its environs in Kwara State, MSc Thesis, University of Ibadan, Nigeria.