Abstract

Four types of vegetation viz. moist sal forest, moist mixed forest, dry mixed forest and seral vegetation were identified at the Kanha National Park using remote sensing data products viz. satellite imageries (Landsat -TM-FCC 1:50,000 scale) and aerial photographs (B/W Panchromatic 1:10,000 scale). Secondary analysis of the vegetation interms of index of similarity has revealed that there was highest similarity between Terminalia tomentosa and moist mixed forest as T. tomentosa was the most abundant and dominant tree species in moist mixed forest. Also there were more similarity between Sal (Shorea robusta) and T. tomentosa forests. S. robusta forest was the most dominant among all the vegetation in the study area. The dry mixed and moist mixed forests were having greater diversity, indicating the richness of the tree species, compared to sal forest and seral vegetation

Keywords: Remote sensing, aerial photographs, satellite imageries, environment, ecosystem, vegetation analysis