Combining LAnd-use, modeling and Remote-sensing to Transform carbon budgets (CLARiTy)

The project in a nut-shell

The largest uncertainty in the global carbon budget is in emissions from land-use, which has an uncertainty of approximately 60%.

CLARiTY seeks to reduce the persistently high land flux uncertainties, employing a combination of new datasets, a deeper process-understanding, sophisticated models and an improved experimental design. We will transform the way we monitor land-use, disturbance, vegetation structure, biomass and biomass change using newly available high-resolution Earth Observation combined with the latest methodological advances in AI and modeling.