ARTEMISIA: Advanced Remote sensing Techniques for greenhouse gas EMISsion modeling In African lakes

ARTEMISIA develops the first pan-African, Earth Observation-based framework to estimate CO₂ and CH₄ emissions from lakes across the continent, addressing a major gap given how understudied African lakes are despite being significant contributors to global GHG budgets. It combines satellite data, in situ measurements, and machine learning to generate spatially explicit emission estimates at the continental scale, something existing sparse, in situ-based methods cannot achieve.

The project also investigates what drives these emissions, both internal factors like lake trophic state and external ones like erosion, land use, and landslides, by linking catchment-scale processes to lake biogeochemistry.

ARTEMISIA is intended as a benchmark for other data-scarce tropical regions, such as South America and Southeast Asia, where inland water GHG emissions remain similarly poorly constrained.