AgriCarbon-EO is a pre-operational processing chain developed at CESBIO since January 2020. AgriCarbon-EO allows to simulate biomass, yields, CO2 fluxes and C-budgets of crops as well as their uncertainties at 10 m resolution on whole Sentinel 2 tiles.
The processes performed by the chain include the preparation of crop & soil maps, climate and remote sensing inputs, the inversion of the PROSAIL radiative transfer model (Jacquemoud et al., 2009) for the computation of the biophysical variables (e.g. LAI) needed as input to the agronomic model, the assimilation of the LAI data into the agronomic model (SAFYE-CO2), and finally the cartographic representation of the results.
How AgriCarbon-EO works ?
The chain has been coded in such a way that the calculations can be parallelized on supercomputers (e.g. CALMIP of the University, HAL of CNES). First, the LAI time series (and their uncertainties) are produced from the downloaded satellite data (e.g. Sentinel-2) and the PROSAIL radiative transfer model (Jacquemoud et al. 2009) by a spatially […]
Case study
Last articles concerning the chain
The team
A multidisciplinary team contributes to the development and validation of the SAFYE-CO2 model and AgriCarbon-EO processing chain. Our team covers a wide range of expertise, essential for the devellopment of complex tools. Our expertise include agronomy, hydrology, remote sensing, numerical methods, scientific computing, and field observation systems. We cherish this diversity as it is the […]
Net Ecosystem Exchange of covercrops using AgriCarbon-EO [IGARSS’2022]
In July 2022, the AgirCarbon-EO approach for estimation of carbon budget of covercrops was presented by Ahmad Al Bitar at the IGARSS’2022, the flagship conference of the IEEE Geoscience and Remote Sensing Society (GRSS).
ORCASA
The new project “Operationalising International Research Cooperation on Soil Carbon” Beginning soon (2022) as an extension of the CIRCaSa project