Analysis of Vegetation Cover in Bogovati River Basin in Kolhapur District, Maharashtra, India, Based On Satellite Image

Abstract The normalized differential vegetation index (NDVI) was formed to compute vegetation cover using the reflected bands of satellite data. The Bhogavati River Basin of Kolhapur district for specific month in 2012 is the main focus of the current study. A popular method for tracking changes in land use and land cover, especially in vegetation cover and pattern, is the NDVI. This tool is also helpful for retrieving vegetation-related data from satellite photos. The terrestrial forest ecosystems have suffered as a result of the removal of trees for agriculture and land usage. Hence the vegetation pattern analysis will be plays a key role for development of land and management. In order to categorize the temporal fluctuation of vegetation structure, including related aspects, and the progressive decline of green plant covering in a temporal scale of view on the study area, an NDVI detection approach based on Remotely Sensed data (RS) and Geographic Information System (GIS) was developed. The NDVI is determined by the spectral contrast of reflected Near Infrared (NIR) and Visible (VIS) radiation from a surface.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-30
DOI
https://doi.org/10.5281/zenodo.16196823
Primary Topic
Remote Sensing in Agriculture
Type
article
Field-Weighted Citation Impact
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article

Analysis of Vegetation Cover in Bogovati River Basin in Kolhapur District, Maharashtra, India, Based On Satellite Image

Zenodo (CERN European Organization for Nuclear Research)
Remote Sensing in Agriculture
article

Analysis of Vegetation Cover in Bogovati River Basin in Kolhapur District, Maharashtra, India, Based On Satellite Image

article en

Abstract

Abstract The normalized differential vegetation index (NDVI) was formed to compute vegetation cover using the reflected bands of satellite data. The Bhogavati River Basin of Kolhapur district for specific month in 2012 is the main focus of the current study. A popular method for tracking changes in land use and land cover, especially in vegetation cover and pattern, is the NDVI. This tool is also helpful for retrieving vegetation-related data from satellite photos. The terrestrial forest ecosystems have suffered as a result of the removal of trees for agriculture and land usage. Hence the vegetation pattern analysis will be plays a key role for development of land and management. In order to categorize the temporal fluctuation of vegetation structure, including related aspects, and the progressive decline of green plant covering in a temporal scale of view on the study area, an NDVI detection approach based on Remotely Sensed data (RS) and Geographic Information System (GIS) was developed. The NDVI is determined by the spectral contrast of reflected Near Infrared (NIR) and Visible (VIS) radiation from a surface.

Zenodo (CERN European Organization for Nuclear Research)
Solapur University (IN)
Life in Land
Openalex Percentile: Top 56%
Remote Sensing in Agriculture
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Analysis of Vegetation Cover in Bogovati River Basin in Kolhapur District, Maharashtra, India, Based On Satellite Image · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS