MSG Daily Fraction of Vegetation Cover (MDFVC-R)

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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.

 

Product Documentation

The characteristics and file format of this demonstration Data Record are the same as its correspondent NRT product. It is documented in the following documents:

Please see Product Peer-Review publications in References.

The use of LSA SAF products in publications is kindly requested to be duly acknowledged:
FVC was provided by the EUMETSAT Satellite Application Facility on Land Surface Analysis (LSA SAF; Trigo et al., 2011)
http://lsa-saf.eumetsat.int

Trigo, I. F., C. C. DaCamara, P. Viterbo, J.-L. Roujean, F. Olesen, C. Barroso, F. Camacho-de Coca, D. Carrer, S. C. Freitas, J. García-Haro, B. Geiger, F. Gellens-Meulenberghs, N. Ghilain, J. Meliá, L. Pessanha, N. Siljamo, and A. Arboleda, 2011: The Satellite Application Facility on Land Surface Analysis. Int. J. Remote Sens., 32, 2725-2744, doi: 10.1080/01431161003743199

The MSG mission (in operations since 2004) already provides a relatively long time series of VIS and IR observations over the full Earth Disk centred at 0º. The full archive of MSG/SEVIRI data was reprocessed to provide the user comunity a consistent, homogeneous and continuous Data Record of the Daily Fraction of Vegetation Cover (MDFVC) for the period 2004-2015. 

This Data Record was obtained with the best version of its equivalent NRT product (MDFVC) which can also complement the time series from 2016 onwards.