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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Issue: February 2026
Volume 11 | Issue 2
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 117
Article Submitted : 21319
Article Published : 8476
Total Authors : 22301
Total Reviewer : 802
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| Paper Title: | Identification of Vegetation for Change Analysis of Bhandardara Canal Command Area from Liss-III Satellite Image Using NDVI Techniques |
| Authors Name: | Sagar Bhausaheb Dongare , Dr. Vilas Vasant Patil |
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IJRTI_209175
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| Published Paper Id: | IJRTI2601038 |
| Published In: | Volume 11 Issue 1, January-2026 |
| DOI: | |
| Abstract: | Remote sensing and GIS is the important tool for land cover analysis. This paper presents an improved method for the analysis of satellite image based on Normalized Difference Vegetation Index (NDVI) using temporal multispectral data of LISS-III data. Different GIS softwares were used to detection of vegetation cover of Bhandardara canal command area of January 2013, January 2016 and February 2019. The main aim of this work was to study the spatial distribution of Land Surface vegetation. For land cover classification, some band combinations of the remote sensed data are exploited and the spatial distribution such as road, urban area, agriculture land and water resources were easily interpreted by computing their normalized difference vegetation index. From output of NDVI data classification of five different class of vegetation group according reflectance value detected from LISS-III sensor and DN value from same image. According to results, values of one to three classes which represent mostly agricultural region has been increased during 2013 to 2019, but fourth and fifth classes were decreased, which is represent mostly natural vegetation. The vegetation analysis can be used for the situation of unfortunate natural disasters to provide humanitarian aid, damage assessment and furthermore to device new protection strategies. |
| Keywords: | Remote sensing and GIS, NDVI, Vegetation |
| Cite Article: | "Identification of Vegetation for Change Analysis of Bhandardara Canal Command Area from Liss-III Satellite Image Using NDVI Techniques", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.11, Issue 1, page no.a296-a300, January-2026, Available :http://www.ijrti.org/papers/IJRTI2601038.pdf |
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2601038
Registration ID:209175
Published In: Volume 11 Issue 1, January-2026
DOI (Digital Object Identifier):
Page No: a296-a300 Country: Jalgaon, Maharastra, India Research Area: Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2601038 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2601038 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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