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— 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)
The ESA GLOBCARBON project aims to generate fully calibrated estimates of at-land products quasi-independent of the original Earth Observation source for use in Dynamic Global Vegetation Models, a central component of the IGBP-IHDP-WCRP Global Carbon Cycle Joint Project. The service features global estimates of: burned area, f APAR , LAI and vegetation(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)
Understanding the spatial and temporal variation in carbon fluxes is essential to constrain models that predict climate change. However, our current knowledge of spatial and temporal patterns is uncertain, particularly over land. The European Space Agency (ESA) GLOBCARBON project was initiated to generate fully calibrated estimates of at-land products(More)
The MACFERST project is part of a cooperation between the Chinese Ministry of Science and Technology (MOST) and the European Space Agency ESA. Its main objective is to produce a forest map of China using Interferometric Land-Use (ILU) images generated from ERS tandem data with the Interferometric Quick-Look (IQL) processor. The generation of a large-scale(More)
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