ARTEMISIA - Advanced Remote sensing Techniques for greenhouse gas EMIsSIon modeling in African lakes - ARTEMISIA

Context and objectives

African lakes represent 66% of the tropical lake surface area, yet remain “among the least studied” for CO₂ and CH₄ emissions. Current global estimates are uncertain because they rely on sparse in situ data. ARTEMISIA aims to deliver a pan African EO based framework for quantifying lake GHG emissions for lakes >0.1 km². Its objectives include improving EO derived water quality products (Chl a, CDOM, TSM), preparing for new satellite missions, modelling CO₂/CH₄ emissions at local and continental scales, and identifying key environmental drivers.
The overall objective of the ARTEMESIA project is to improve our knowledge about the spatio-temporal variability of greenhouse gas (CO2 and CH4) emissions at pan-African scale. Specific objectives are:

  • O1: To enhance the retrieval of EO-derived water quality products for Chl-a, CDOM and TSM for tropical African lakes (>0.1 km²).
  • O2: To prepare for the use of new satellite missions for improved water quality and greenhouse gas monitoring. 
  • O3: To estimate CO2 and CH4 emissions at local (2 local case studies) and African scale based on modelling using EO data as input.
  • O4: To understand the drivers of water quality and CO2 and CH4 emissions at local scale (Tanganyika basin (i.e., Lake Tanganyika & optional Kivu) and Lake Victoria case studies).
  • O5: To understand the key drivers of CO2 and CH4 emissions at the pan-African level.

Project outcome

Expected scientific results

  • Pan African CO₂ and CH₄ emission dataset for lakes >0.1 km², with monthly/annual resolution and uncertainty estimates.
  • Improved EO based water quality retrievals tailored to optically complex African lakes.
  • Novel machine learning models linking EO data to dissolved GHG concentrations.
  • High resolution spatial emission maps for Lake Tanganyika and Lake Victoria.
  • New insights into drivers of GHG emissions, including sediment transport, land use, trophic state, and geomorphic disturbances.

Expected products and services

  • Open access EO derived datasets (Chl a, CDOM, TSM, dissolved CO₂/CH₄).
  • Pan African GHG emission database (Zenodo tables + Google Earth KMZ).
  • Web based dashboard for country level CO₂/CH₄ emissions.
  • Enhanced atmospheric correction and water quality algorithms.
  • Case study specific high resolution emission maps.
  • SWAT+ model outputs for sediment, nutrient, and carbon fluxes.