Estimation of Normalized Differences Vegetation Index and Forest Cover Density of Satpura Foothills in Nandurbar District, Maharashtra, Using Remote Sensing Application

By : Mohan Arjun Vasave , Sandip Garud

Page No: 341-351

Abstract
Forest Cover Density is one of the key parameters for assessing the ecological condition of a forest. The Present study estimates the change in forest cover density using remote sensing techniques for the last decade, i.e., from 2010 to 2021 of the Satpura Foothills in Nandurbar District. Remotely sensed multispectral data from Landsat-8 and Landsat-9 is highly useful in vegetation change analysis based on remote sensing indices and forest cover density parameters. NDVI (Normalized Difference Vegetation Index) and FCD (Forest cover density) relation are essential to understanding the environmental effects on the forest on a regional scale. Threshold-based classification has been used to realize forest cover change in multi-temporal studies. The result shows that forest canopy cover, as well as forest density, are radically reduced between the period 2010 and 2021. It is also stated that 119.51 km2 areas have been degraded over 11 years. Period (2010-2021) with a rate of 10.86 km2 every year is possible only due to the implementation of forest policies exclusively executing participatory or joint forest management techniques.

Authors :
Mohan Arjun Vasave : Department of Geography, Arts, Commerce & Science College, Taloda, District Nandurbar, Maharashtra, India
Sandip Garud : Department of Geography, Arts, Commerce & Science College, Taloda, District Nandurbar, Maharashtra, India
 

DOI: https://doi.org/10.32381/ATNAGI.2023.43.02.7