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14 15 This article describes the algorithmic principles used to generate LAI, fAPAR and fCover 16 estimates from VEGETATION observations. These biophysical variables are produced 17 globally at 10 days temporal sampling interval under lat-lon projection at 1/112° spatial 18 resolution. After a brief description of the VEGETATION sensors, radiometric(More)
— The Globcover initiative comprises the development and demonstration of a service that in first instance produces a Global land cover map for year 2005/2006. Globcover uses MERIS fine resolution (300m) mode data acquired between mid 2005 and mid 2006 and, for maximum user benefit, the thematic legend is compatible with the UN Land Cover Classification(More)
— Airborne Polarization and Directional Earth Radiation (POLDER) data acquired during the boreal ecosystem-atmosphere study (BOREAS) and the four-scale model of Chen and Leblanc [10] are used to investigate radiative transfer in boreal forest. The four-scale model is based on forest canopy architecture at different scales. New aspects are incorporated into(More)
— The objective of the Cyclopes project is to provide coherent estimates of bio-physical variables such as land surface albedo and leaf area index at regional and global scales and to demonstrate their application in the fields of land cover change detection and carbon cycle modeling. An essential element of the project strategy is to provide(More)
The GlobCover project has developed a service dedicated to the generation of multi-year global land cover maps at 300 meter spatial resolution using as its main source of data the Full Resolution full Swath (300m) data (FRS) acquired by the MERIS sensor on-board the ENVISAT satellite. As multiple single daily orbits have to be combined in one single(More)
The GLOBCOVER project delivers a global land cover map at 300 m spatial resolution using MERIS FRS data acquired during the 19 months period from December 2004 until June 2006. As multiple single orbits has to be combined in one single dataset. Therefore, we need to assess the relative and absolute geolocation of MERIS projected products. We describe(More)
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