Mapping of Landscape Cover Using Remote Sensing and GIS in Chandoli National Park, India

Abstract

Humankind to fulfill its needs has put natural resources of the earth to a severe pressure. The rate of degradation and depletion of earth resources has accelerated tremendously in view of the overincreasing demographic pressure. Therefore, mapping of landscape cover types to evaluate it has 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 17 0 04' 00" N to 17 0 19' 54" N and 73 0 40' 43" E to 73 0 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 km 2) was under the crown density of 40-100%.

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