This project focused on assessing and predicting soil organic carbon (SOC) levels in Ukraine’s agricultural lands from 2015 to 2020, with projections for the next 20 years. The primary aim was to evaluate how SOC could serve as a tool for carbon sequestration, thereby contributing to climate change mitigation. Leveraging satellite imagery and geospatial analysis, the project utilized the EOSDA LandViewer and a modified RothC model to analyze SOC changes over time and predict future scenarios. The team established SOC mapping models, incorporating multiple parameters like topography, climate data, and vegetation growth indices to calculate soil organic carbon levels. By analyzing SOC data across different scenarios, they identified Ukraine's potential for enhanced carbon sequestration through sustainable land management practices.