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Mapping of Landscape Cover Using Remote Sensing and GIS in Chandoli National Park, India
Abstract
been a great concern for forest and wildlife managers. Both managers find it very important to know how much area is suitable for wildlife species and what areas are affected due to
anthropogenic pressure. To address these concerns in Chandoli National Park its land-use landcover and forest crown density were mapped. The National Park is situated in Western Ghats,
India lying within 170 04' 00" N to 170 19' 54" N and 730 40' 43" E to 730 53' 09" E. In the present study, Remote Sensing (RS) and Geographical Information System (GIS) techniques
were used. Remotely sensed data procured from satellite IRS-P6, LISS-III (2005) and collateral data generated from topographic maps were processed using ERDAS IMAGINE and ArcView softwares. Land-use land-cover map of the study area was prepared from satellite data using supervised maximum likelihood classification technique, which revealed that Park supports diversified landscape of scrubland (27.37%), grassland (20.05%), rejuvenated forest (22.40%) and evergreen forest (16.01%). On the other hand Normalized Difference Vegetation Index (NDVI) was used to prepare a forest crown density map, which revealed that majority of the forest cover (126.10 km2) was under the crown density of 40-100%.
