Vegetation Analysis with Reference to Topographic Variables using Remote Sensing Data

Authors

  • N.K. Sharma
  • G.S. Rawat

DOI:

https://doi.org/10.37591/rrjoe.v3i1.977

Abstract

Abstract
The study was carried out in Kalsa Watershed, Uttarakhand, India to analyze the vegetation composition, topographic attributes and distribution of different vegetation types in relation to topography. Remote Sensing data of Indian satellite IRS 1D-LISS III sensor was used to map vegetation and land use. Survey of India (SOI) topographic map was used to generate the Digital Elevation Model (DEM). A total of 10 vegetation and land use classes were mapped. Pine forest was recorded as most dominant forest type of study area. The study revealed the extension of pine forest in high altitude areas above its normal zone of occurrence.

Keywords: DEM, Slope, Slope aspect, Remote sensing, Uttarakhand

Published

2018-06-13

Issue

Section

Research Articles