Please use this identifier to cite or link to this item: https://idr.l2.nitk.ac.in/jspui/handle/123456789/11861
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dc.contributor.authorKashinath, P.
dc.contributor.authorDeb, D.
dc.contributor.authorVardhan, H.
dc.contributor.authorAruna, M.
dc.contributor.authorSamanta, B.
dc.date.accessioned2020-03-31T08:35:45Z-
dc.date.available2020-03-31T08:35:45Z-
dc.date.issued2011
dc.identifier.citationDisaster Advances, 2011, Vol.4, 4, pp.5-10en_US
dc.identifier.urihttp://idr.nitk.ac.in/jspui/handle/123456789/11861-
dc.description.abstractRemote sensing images and techniques are widely used for environmental monitoring, climate changes, forest management and for water resource management. In the present work, identification of land-use land-cover (LULC) changes was studied based on Landsat Satellite (MSS) and IRS Satellite (LISS-III) images by Maximum Likelihood Classification (MLC) method. The study finds that the areas of water bodies and dense forest have decreased by more than 11 % and 6 %, respectively, while area covered by vegetation and habitats have increased by 16 % and 5 %, respectively. It was also found that dense forest was increased by 30 % around Norwapahar mine site area.en_US
dc.titleLand-use land-cover changes in east singbhum mineralized zone: A case studyen_US
dc.typeArticleen_US
Appears in Collections:1. Journal Articles

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