  We describe the methodology applied for the retrieval of global LAI, FAPAR
and FVC from Advanced Very High Resolution Radiometer (AVHRR) onboard the
Meteorological-Operational (MetOp) polar orbiting satellites also known as
EUMETSAT Polar System (EPS). A novel approach has been developed for the joint
retrieval of three parameters (LAI, FVC, and FAPAR) instead of training one
model per parameter. The method relies on multi-output Gaussian Processes
Regression (GPR) trained over PROSAIL EPS simulations. A sensitivity analysis
is performed to assess several sources of uncertainties in retrievals and
maximize the positive impact of modeling the noise in training simulations. We
describe the main features of the operational processing chain along with the
current status of the global EPS vegetation products, including details about
its overall quality and preliminary assessment of the products based on
intercomparison with equivalent (MODIS, PROBA-V) satellite vegetation products.
