Russia’s full-scale invasion of Ukraine drove greenhouse gas emissions (GHG) up by 75 million tonnes of CO2 equivalent (tCO2e) in the war’s fourth year, bringing the total since 24 February 2022 to 311 million tCO2e. This large figure is comparable to the annual emissions of France or half of Germany’s yearly emissions. While emissions rose […]
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Assessment of war-induced agricultural land use changes in Ukraine using machine learning applied to Sentinel satellite data
The ongoing war in Ukraine has significantly disrupted agricultural land use, leading to reduced cropland areas, increased land abandonment, and heightened uncertainty in food production. This study presents a multi-year assessment of war-induced agricultural land use changes in Ukraine using machine learning-based classification applied to Sentinel-1 and Sentinel-2 satellite imagery. By leveraging cloud computing platforms, including
Google Earth Engine (GEE) and the Copernicus Data Space Ecosystem (CDSE), we develop high-resolution KPIUkraine (Igor Sikorsky Kyiv Polytechnic Institute (KPI) in Ukraine) land use maps spanning from 2016 to 2024/.
