UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 12 | Issue 9 | September 2025

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Published in:

Volume 6 Issue 3
March-2019
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR1903571


Registration ID:
199592

Page Number

517-524

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Title

Application of RS & GIS in micro level analysis of Forest Canopy Cover density in Kawal TR East (Jannaram) Division- Adilabad District- Telangana

Abstract

Forest plays an important role in the natural environment of a particular place. In recent times, deforestation has become a major issue of concern as it is one of the causes of climatic change and Global warming. Up to date information is the need of the hour for monitoring the forest cover at the micro level. Remote sensing not only provides real-time information on forest cover but also provides a synoptic view. GIS has emerged as a handy tool in the analysis of the huge volume of forestry data. In this paper, an attempt is made to map forest canopy cover at micro level (Beat level) analysis for Jannaram (Kawal East Tiger Reserve) Division of Adilabad District. In this division, a large part of Kawal Wildlife Sanctuary & Tiger Reserve Forest is located. The study is based on IRS-R2 LISS-III data with 23.5 Mts resolution. The main objective of the study is to identify different classes of forest canopy cover density and its spatial distribution in the study area. A detailed analysis of forest type and canopy density is undertaken. Remote sensing and Geographic Information Systems (GIS) have the potential to provide accurate information regarding forest density. Forest cover mapping is based on NDVI technique. GIS is used in the preparation of various theme layer mapping & generation of forest statistics. The forest cover is classified into 6 classes based on canopy density such as Very Dense forest, Moderately Dense forest, Open Forest, Scrub, Non-Forest, and Waterbody. The canopy density categories are correlated with slope classes. Micro-level analysis of canopy cover density is an important factor in the evaluation of forest status which is very useful in improving the canopy cover. Estimation of forest canopy density is an essential part of Forest Inventories.

Key Words

Forest Cover Change, Canopy, GIS, RS, Telangana.

Cite This Article

"Application of RS & GIS in micro level analysis of Forest Canopy Cover density in Kawal TR East (Jannaram) Division- Adilabad District- Telangana ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 3, page no.517-524, March-2019, Available :http://www.jetir.org/papers/JETIR1903571.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Application of RS & GIS in micro level analysis of Forest Canopy Cover density in Kawal TR East (Jannaram) Division- Adilabad District- Telangana ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 3, page no. pp517-524, March-2019, Available at : http://www.jetir.org/papers/JETIR1903571.pdf

Publication Details

Published Paper ID: JETIR1903571
Registration ID: 199592
Published In: Volume 6 | Issue 3 | Year March-2019
DOI (Digital Object Identifier):
Page No: 517-524
Country: Hyderabad, Telengana, India .
Area: Science
ISSN Number: 2349-5162
Publisher: IJ Publication


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