biome
; ensemble forecasting
; estimation method
; evapotranspiration
; Meteosat
; primary production
; satellite data
; water stress
; Africa
; Europe
Departament de Física de la Terra i Termodinàmica, Facultat de Física, Universitat de València, Burjassot, Spain; Numerical Terradynamic Simulation Group, University of Montana, Missoula, MT, United States; Instituto Português do Mar e da Atmosfera (IPMA), Lisbon, Portugal; Finnish Meteorological Institute, Helsinki, Finland; Thünen Institute of Climate-Smart Agriculture, Braunschweig, Germany; Fundación Centro de Estudios Ambientales del Mediterráneo (CEAM), Paterna, Spain; TERRA Teaching and Research Centre, Gembloux Agro-Bio Tech, University of Liege, Gembloux, Belgium; Department of Sustainable Agro-Ecosystems and Bioresources, Research and Innovation Center, Fondazione Edmund Mach, Michele all’ Adige Trento, Italy; Technische Universität Dresden, Institute of Hydrology and Meteorology, Tharandt, Germany; Centre d'Ecologie Fonctionnelle et Evolutive CEFE, UMR 5175, CNRS–Université de Montpellier–Université Paul Valéry Montpellier–EPHE, Montpellier, France; Department of Physics, University of Helsinki, Helsinki, Finland; Department of Science, Waterford Institute of Technology, Waterford, Ireland; Department of Atmospheric Environmental Research, Karlsruhe Institute of Technology, Institute of Meteorology and Climate Research (KIT/IMK–IFU), Garmisch-Partenkirchen, Germany; Department of Physical Geography and Eosystem Sciences, Lund University, Lund, Sweden; Department of Geosciences and Natural Resource Management (IGN), University of Copenhagen, Copenhagen, Denmark
Recommended Citation:
Martínez B,, Sanchez-Ruiz S,, Gilabert M,et al. Retrieval of daily gross primary production over Europe and Africa from an ensemble of SEVIRI/MSG products[J]. International Journal of Applied Earth Observation and Geoinformation,2018-01-01,65