Spatio-Temporal Dynamics of Vegetation Coverage and its relationship with Growth of Agriculture
Sr No:
Page No:
46-54
Language:
English
Authors:
Dr. V. B. Kale* & Shubham Manik Wagh
Received:
2026-01-08
Accepted:
2026-02-14
Published Date:
2026-02-27
Abstract:
In 2015, vegetation covered a substantial area, equivalent to the size of Proportional vegetation cover was highly variable, and declined in most areas between 2015 and 2023. Declines in proportional vegetated cover were particularly common in the whole study area. This article presents an enhanced Change Detection method for the analysis of Satellite images based on Normalized Difference Vegetation Index (NDVI). The Change Detection method used was NDVI differencing. NDVI method is applied according to its characteristics like vegetation at different NDVI threshold values such. From the empirical study, the forest or scrub land and Barren land cover types have decreased by about 6% and 23% from 2015 to 2023 respectively, while agricultural land, built-up and water areas have increased by about 19%, 4 % and 7% respectively.
Keywords:
NDVI, Remote Sensing, Sentinel images, Change Detection, Vegetation Index