Verdant- Carbon Credit Estimation Tool using Satellite Data

Abstract

Accurate estimation of biomass and carbon stock is essential for monitoring ecosystem health, planning conservation activities, and evaluating carbon credit potential. This study presents a systematic analysis of vegetation health using Normalized Difference Vegetation Index (NDVI) and canopy cover data collected for the years 2017–2024. The proposed methodology integrates satellite-derived NDVI, canopy percentage, and a regression-based biomass model to estimate above-ground biomass, carbon stock, and carbon credits. Biomass was calculated using a vegetation index– driven formula, carbon stock was derived from biomass, and carbon credits were estimated based on carbon sequestration potential. Trend analysis, scatter plots, and growth computations demonstrate clear vegetation fluctuations over the study period. Results show increasing biomass and carbon stock until 2021, followed by a sharp decline corresponding to potential disturbances or land-use changes. These findings highlight the usefulness of NDVIbased remote sensing in rapid ecological assessment and carbon valuation.