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ABSTRACT:Essential Climate Variables were listed by the Global Climate Observing System as critical information to further understand the climate system and support climate modelling. The European Space Agency launched its Climate Change Initiative in order to provide an adequate response to the set of requirements for long-term satellite-based products for climate. Within this program, the CCI Land Cover project aims at revisiting all algorithms required for the generation of global land cover products that are stable and consistent over time, while also reflecting the land surface seasonality. To this end, the land cover concept is revisited to deliver a set of three consistent global land cover products corresponding to the

The processing of cloud free geo-referenced imagery is one of the preliminary processing steps of any land application. This letter describes the methodology developed to obtain a seamless cloud free composite of Africa for 2016 using Sentinel-2A data at 10-meter resolution freely available from the European Space Agency. The method is based on a hybrid method resulting from the merging of the two most robust time series methods namely the "darkest pixel" and the "maximum Normalised Difference Vegetation Index (NDVI)" previously developed with the Advanced Very-High-Resolution Radiometer (AVHRR) time series.

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Abstract:The processing of cloud free geo-referenced imagery is one of the preliminary processing step of any land application. This letter describe the methodology developed to obtain a seamless cloud free composite of Africa for 2016 using Sentinel-2A data at 10 meters resolution freely available from the European Space Agency. The method is based on an hybrid method resulting from the merging of the two most robust time series methods namely the "darkest pixel" and the "maximum NDVI" previously developed with AVHRR time series.