Abstract            Volume:13  Issue-2  Year-2025         Original Research Articles

Online ISSN : 2347 - 3215 Issues : 12 per year Publisher : Excellent Publishers Email : editorijcret@gmail.com

Understanding and accurately quantifying carbon stocks in forest ecosystems are critical for climate change mitigation and sustainable forest management. This study employs a Geographic Information System (GIS) and remote sensing data to assess above ground biomass and carbon in the Yeraba State Forest, Ethiopia. The research aims to offer reliable information on forest carbon stocks for forest administrators, policymakers, and development agents. Through the use of allometric equations and advanced remote sensing techniques, specifically Sentinel-2 imagery, the study quantifies above-ground biomass (AGB) and carbon stock. The robustness of various vegetation indices in estimating the carbon stock is examined, with the Variable Difference Vegetation Index (VDVI) showing the strongest correlation with the above-ground carbon stock (AGCS). The research demonstrates the efficacy of combining field-measured data with satellite imagery for the assessment of carbon stocks in forest ecosystems. The study notably provides methodological insights into the use of GIS and remote sensing for ecosystem service assessment and offers valuable contributions to the literature on forest carbon storage and dynamics. This comprehensive approach emphasizes the ecological and economic significance of forests and presents an essential tool for monitoring forest-based carbon sequestration as part of contributing to global carbon cycle understanding and achieving sustainable forest utilization policies. Received: 08 December 2024 Accepted: 22 January 2024 Available Online: 20 February 2025

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