The project aims to relate airborne reflectance data to canopy structural and biochemical parameters relating to canopy state and productivity. In situ measurements of CO2 flux will be used to quantify net (daily and annual) fluxes of energy and carbon, which will in turn be compared to EO measures known to be related to vegetation productivity such as light-use-efficiency (LUE) and photochemical reflectance index (PRI). Canopy structural parameters will be extracted from airborne data using canopy scattering models driven by estimates of 3D canopy architecture. This work will augment existing development of 3D forest modelling and reflectance simulation methods. Biochemical parameters of interest include leaf pigment concentration, photosynthetic activity, LUE and PRI; structural parameters include canopy height, leaf area index (LAI), standing biomass and canopy clumping. To obtain both biochemical and structural parameters, multispectral multiangular reflectance data are required. EO data will also be combined with ecosystem models in an assimilation scheme aimed at describing canopy productivity and hence carbon sequestration. The results of this project will contribute to understanding how terrestrial carbon fluxes can be related to EO data and, in particular, how uncertainties in the calculation of such fluxes can be reduced.