Integrating SPOT-VEGETATION 10-yr Time Series and Land-Surface Modelling to Forecast the Terrestrial Carbon Dynamics in a Changing Climate

01 December 2009 → 30 April 2014
Federal funding: various
Research disciplines
  • Natural sciences
    • Physical geography and environmental geoscience
    • Plant biology
  • Engineering and technology
    • Communications technology
    • Geomatic engineering
  • Agricultural and food sciences
    • Forestry sciences
remote sensing Amazon forest Africa ecosystem modelling
Project description

The objective is to assimilate tropical land-surface characterization from SPOT-VEGETATION time series and in-situ carbon flux data into the ORCHIDEE vegetation model. The optimized ORCHIDEE model coupled with a land-use change model for Africa will allow us to determine quantitative estimates of the carbon stocks and fluxes in Central African forests under different climate change scenarios.