Using the Valencia and Alacant Anchor Stations, provide surface values of parameters of interest integrated over larger or smaller areas, depending on the spatial resolution of the remote sensing sensor, mainly net radiation, soil moisture and biophysical parameters.
The calibration and validation of products allows quantifying the accuracy and quality of the satellite derived products in order to provide us a temporal and spatial consistency against reference values and existing satellite products.
The main purpose is to take full advantage of remotely sensed data to map Essential Climate Variables (ECVs): LAI, FAPAR, PAR, canopy water content, biomass and land cover and/or ecosystem functional type. Maps of ECVs are produced from EO reflectance and other auxiliary data.
Application of remote sensing techniques in the study of climatic processes, especially those related to radiation, energy and water balances on the Earth's Surface.
The goal is to combine different satellite data, particularly to exploit a synergistic use of actual remotely sensing programs. This offers a great potential for updating the production of vegetation parameters in quasi-real-time for applications.
The main purpose is to take full advantage of remotely sensed data to map Essential Climate Variables (ECVs): LAI, FAPAR, PAR, canopy water content, biomass and land cover and/or ecosystem functional type. Maps of ECVs are produced from EO reflectance and other auxiliary data.
Methodologies for the processing and analysis of time series using biophysical parameters and vegetation indices are developed to quantify changes. Vegetation dynamics is analyzed in terms of the intra-annual and inter-annual variability, which are related with vegetation phenology and trends.
Design of new vegetation indices relying on the use of canopy reflectance models as well as on field and laboratory spectroscopy. Vegetation indices are the most used parameters to study vegetation from remotely sensed data.
