Land-use land-cover changes in east singbhum mineralized zone: A case study
| dc.contributor.author | Kashinath, P. | |
| dc.contributor.author | Deb, D. | |
| dc.contributor.author | Vardhan, H. | |
| dc.contributor.author | Mangalpady, M. | |
| dc.contributor.author | Samanta, B. | |
| dc.date.accessioned | 2026-02-05T09:35:38Z | |
| dc.date.issued | 2011 | |
| dc.description.abstract | Remote 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. | |
| dc.identifier.citation | Disaster Advances, 2011, 4, 4, pp. 5-10 | |
| dc.identifier.issn | 0974262X | |
| dc.identifier.uri | https://idr.nitk.ac.in/handle/123456789/27169 | |
| dc.subject | forest cover | |
| dc.subject | identification method | |
| dc.subject | IRS (satellite) | |
| dc.subject | land cover | |
| dc.subject | land use change | |
| dc.subject | Landsat | |
| dc.subject | maximum likelihood analysis | |
| dc.subject | satellite imagery | |
| dc.subject | vegetation cover | |
| dc.title | Land-use land-cover changes in east singbhum mineralized zone: A case study |
