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Research Article Open access CC BY 4.0

Spatio-Temporal Assessment of Vegetation Dynamics Using NDVI in the Mann River Watershed, Maharashtra, India

Stanzin Angmo, K.D. Gharde, R.S. Patode, N.G. Patil, A.R. Mhaske, M.M. Deshmukh

International Journal of Environment and Climate Change · pp. 553–561 · Published 17 Dec 2025

10.9734/ijecc/2025/v15i125181

Abstract

Aims: To assess decadal vegetation dynamics in the semi-arid Mann River watershed, Maharashtra, by analysing changes in NDVI-based vegetation density between 2013 and 2022, and to evaluate the effectiveness of NDVI as a long-term vegetation monitoring tool. Study design: A remote-sensing based comparative temporal analysis using satellite-driven NDVI classification for two time periods (2013 and 2022). Place and Duration of Study: Mann River watershed, Maharashtra, India. The study utilized Landsat 8 imagery acquired for the years 2013 and 2022. Methodology: Landsat 8 satellite images for 2013 and 2022 were processed to compute NDVI using the red and near-infrared (NIR) bands. NDVI values were reclassified into five vegetation density categories: water/non-vegetation (<0.00), very low (0.00–0.10), low (0.10–0.25), moderate (0.25–0.40), and dense vegetation (>0.40). Spatial distribution maps for both years were generated, followed by a change detection analysis to quantify transitions between vegetation classes. Class-wise areal extent (km²) and percentage cover were computed to identify temporal shifts in vegetation patterns. Results: Sparse vegetation increased significantly from 1,723.64 km² (71.34%) in 2013 to 1,922.34 km² (79.57%) in 2022, indicating improved vegetation cover. Moderate vegetation decreased from 538.94 km² (22.31%) to 423.42 km² (17.53%), while dense vegetation showed a notable rise from 0.20 km² to 4.36 km². Bare land reduced from 125.45 km² (5.19%) to 49.93 km² (2.07%), and water bodies slightly declined from 27.78 km² (1.15%) to 15.96 km² (0.66%). Overall trends indicate a positive shift in vegetation vigor over the decade, likely supported by improved agricultural practices, watershed development interventions, and natural regeneration. Conclusion: NDVI-based assessment proved effective for detecting long-term vegetation changes in semi-arid environments. The observed improvement in vegetation density from 2013 to 2022 highlights successful watershed and land management initiatives in the Mann River watershed. NDVI remains a cost-effective and reliable indicator for guiding sustainable ecological and land-use planning.

Vegetation dynamics remote sensing semi-arid ecosystems Spatio-temporal analysis

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