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Assessment of vegetation cover of Palghar taluka using NDVI technique

Deepali Mhapsekara, Dnyaneshwar Bombeb* & Smrity Prabhac
aDepartment of Botany, Parle Tilak Vidyalaya Association’s Sathaye College (Autonomous), Vile Parle (East), Mumbai, Maharashtra, India
bDepartment of Geography, Parle Tilak Vidyalaya Association’s Sathaye College (Autonomous), Vile Parle (East), Mumbai, Maharashtra, India
cUniversity Department of Botany, Ranchi University, Ranchi, Jharkhand, India
Received : 01st March, 2023 ; Revised :29th March, 2023

Abstract- Forest is a part of an ecosystem to maintain the ecological balance, regularize the climate, conserve the soil, etc. Natural vegetation is getting degraded over a period of time due to anthropogenic activities such as expansion of agriculture, urbanization, developmental projects etc. Over exploitation of forest resources leads to shrinking of the forest land which pose a great threat to biodiversity and environment. Thus, there is an urgent need of action to be taken on these vital issues and rapid action for its conservation. The present investigation aims to study the presence of vegetation cover in Palghar Tehsil with the help of remote sensing data and geoinformatics. The investigation applies NDVI (Normalized Difference Vegetation Index) technique to analyze density of vegetation cover using Landsat 8 RESOURCESAT data. The study depicts NDVI differences according to the density of vegetation cover in the last decade. Further the investigation assured the change in vegetation density with the implementation of change detection technique. Majority of area in Palghar Tehsil comes under Less dense vegetation in the decade. Maximum change detection is observed from moderate density vegetation area to less density vegetation area. The present study will help in the implementation and conservation of vegetation conservation strategies in Palghar region. Remote sensing technology and Geoinformatics softwares for data analysis propagate very precise real time information very accurately and are useful for vegetation assessment, management and conservation of flora and fauna.

Key words: vegetation density, FCC, satellite image and interpretation, NDVI, change detection

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