Enhancing baseline quantification and eligibility assessment for ARR carbon finance projects through remote sensing and GIS

Accurate baseline quantification and eligibility assessment are critical in ARR (Afforestation, Reforestation, and Revegetation) carbon finance projects to ensure reliable carbon sequestration outcomes. Leveraging remote sensing (RS) and GIS-based analyses, this approach establishes the eligibility of land for ARR projects, setting baselines for carbon stock assessment and monitoring through time. The methodology employs historical satellite data, land use and land cover (LULC) mapping, and canopy density assessments to confirm compliance with eligibility standards such as those set by Verra or the Gold Standard. High-resolution imagery and predictive modeling establish baseline carbon stocks and quantify carbon sequestration accurately, benefiting small and marginal landholders in ARR project eligibility.