• Narendra Prasad
• Dr U.K.Sahoo

Spatially-explicit information on forest composition provides valuable information to fulfil scientific, ecological and management objectives and to monitor the forest ecosystems. In the present study of Dalma Wildlife Sanctuary, NDVI (Normalised Difference Vegetation Index) system was adopted for Land Use/Land Cover (LU/LC) analysis and mapping. The study is targeted to find improved classification accuracy with the use of spectral information from Landsat-8 OLI satellite imagery. The Sanctuary area was classified into seven major land use/land cover classes viz. Agriculture, Evergreen forest, Deciduous forest, open/degraded forest, Grass land, Settlement and Water bodies occupying about 13%, 17%, 36%, 2%, 27% 4% and 1%, respectively. This indicated presence of maximum patch of deciduous forest area in the Dalma Wild Life Sanctuary. The data observed from this study will be useful to policy makers in formulation of future management and development plan of the area.

Forest ecosystem, NDVI, LULC, Landsat-8 OLI

" Land Use Mapping of Dalma Wildlife Sanctuary Using Remote Sensing & Geographical Information System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.43-58, June 2019, Available :http://www.jetir.org/papers/JETIR1906M05.pdf

" Land Use Mapping of Dalma Wildlife Sanctuary Using Remote Sensing & Geographical Information System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp43-58, June 2019, Available at : http://www.jetir.org/papers/JETIR1906M05.pdf