Vegetation Properties

Leaf Area Index (LAI)  is a dimensionless variable [m2/m2], which defines an important structural property of a plant canopy. LAI is defined as one half the total leaf area per unit ground area. It accounts for the surface of leaves contained in a vertical column normalized by its cross-sectional area. It defines thus the area of green vegetation that interacts with solar radiation determining the remote sensing signal, and represents the size of the interface between the vegetation canopy and the atmosphere for energy and mass exchanges. LAI is thus a necessary input for Numerical Weather Prediction (NWP), regional and global climate modelling, weather forecasting and global change monitoring. Besides, the LAI is relevant for Land Biosphere Applications such us agriculture and forestry, environmental management and land use, hydrology, natural hazards monitoring and management, vegetation-soil dynamics monitoring and drought conditions.

Available Products:

• MDLAI: daily LAI retrieval from clear-sky observations performed by SEVIRI/MSG (also available as monthly composites); demonstration product available for the Indian Ocean Data Coverage (IODC)
• MTLAI: 10-day composites of MDLAI; demonstration product available for the Indian Ocean Data Coverage (IODC)
• ETLAI: 10-day LAI retrieval from clear-sky observations performed by AVHRR/Metop

Available data formats:

• Geostationary/sinusoidal grid in HDF5
• Regular grid in NETCDF4

Data Server information:

• Product Output Format
• Data Server User Guide

Fractional Vegetation Cover (FVC)  defines an important structural property of a plant canopy, which corresponds to the complement to unity of the gap fraction at nadir direction, accounting for the amount of vegetation distributed in a horizontal perspective. FVC is related with the partition between soil and vegetation contribution for emissivity and temperature. This property is necessary for describing land surface processes and surface parameterisation schemes used for climate and weather forecasting. Besides, the FVC is relevant for a wide range of Land Biosphere Applications such us agriculture and forestry, environmental management and land use, hydrology, natural hazards monitoring and management, vegetation-soil dynamics monitoring, drought conditions and fire scar extent.

Available Products:

• MDFVC: daily FVC retrieval from clear-sky observations performed by SEVIRI/MSG (also available as monthly composites); demonstration product available for the Indian Ocean Data Coverage (IODC)
• MTFVC: 10-day composites of MDFVC; demonstration product available for the Indian Ocean Data Coverage (IODC)
• ETFVC: 10-day FVC retrieval from clear-sky observations performed by AVHRR/Metop

Available data formats:

• Geostationary/sinusoidal grid in HDF5
• Regular grid in NETCDF4

Data Server information:

• Product Output Format
• Data Server User Guide

Fraction of Absorbed Photosynthetically Active Radiation (FAPAR)  defines the fraction of PAR (400-700 nm) absorbed by the green parts of the canopy, and thus expresses the canopy's energy absorption capacity. FAPAR depends both on canopy structure, leaf and soil optical properties and irradiance conditions. FAPAR has been recognized as one of the fundamental terrestrial state variables in the context of the global change sciences. It is a key variable in models assessing vegetation primary productivity and, more generally, in carbon cycle models implementing up-to-date land surfaces process schemes. Besides, FAPAR it is an indicator of the health of vegetation. FAPAR is generally well correlated with the LAI, the more for healthy fully developed vegetation canopies.

Available Products:

• MDFAPAR: daily FAPAR retrieval from clear-sky observations performed by SEVIRI/MSG (also available as monthly composites); demonstration product available for the Indian Ocean Data Coverage (IODC)
• MTFAPAR: 10-day composites of MDFAPAR; demonstration product available for the Indian Ocean Data Coverage (IODC)
• ETFAPAR: 10-day FAPAR retrieval from clear-sky observations performed by AVHRR/Metop

Available data formats:

• Geostationary/sinusoidal grid in HDF5
• Regular grid in NETCDF4

Data Server information:

• Product Output Format
• Data Server User Guide

The gross primary production (GPP) , i.e. the rate at which vegetation converts light into chemical energy by photosynthesis, is an essential parameter to characterize the ecosystem processes. The assessment of GPP on wide areas, which is necessary to study the global carbon cycle and for planning and managing resources in response to changing environmental conditions, can be performed using procedures driven by remote sensing data.

Available Products:

• MGPP: 10-daily GPP retrieval from clear-sky observations performed by SEVIRI/MSG

Available data formats:

• Geostationary/sinusoidal grid in HDF5
• Regular grid in NETCDF4

Data Server information:

• Product Output Format
• Data Server User Guide

The Normalized Difference Vegetation Index (NDVI) is a dimensionless index that describes the difference between visible and near-infrared reflectance of vegetation cover. NDVI is useful in understanding vegetation density and assessing changes in plant health.

Available Products:

• ENDVI10: 10-daily NDVI composite from clear-sky observations performed by AVHRR/Metop

Available data formats:

• Geostationary/sinusoidal grid in HDF5
• Regular grid in NETCDF4

Data Server information:

• Product Output Format
• Data Server User Guide