5 research outputs found

    Operational Monitoring of Water Bodies in Arid and Semiarid Regions with SPOT/VEGETATION Satellite: Contribution of EUMETCAST and Recent Research Projects

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    The VEGETATION instrument onboard SPOT satellites allows the detection of surface water, thanks to its short wave infrared channel, at the resolution of 1pixel (1km). The surface water is detected every 10-day for Africa and broadcasted to African users by means of the Eumetcast broadcasting system operated by Eumetsat. The effective detection of water coupled with the dissemination system provides the capacity for operational monitoring of surface water from continental to regional scales. The continuity of surface observation allows the seasonal assessment of water availability.JRC.H.3-Global environement monitorin

    Accuracy Assessment of a 300 m Global Land Cover Map: The GlobCover Experience

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    Abstract. The GlobCover project supported by ESA has developed an operational service dedicated to the generation of global land cover maps through an automated classification of MERIS FRS time series. This paper reports the independent accuracy assessment of the global GlobCover product as the first global exercise implemented according to the CEOS Land Product Validation group recommendations. Based on a network of 16 international experts and on-line tools, a unique, globally distributed reference data set was collected in a standardized manner and used to derive mapping accuracy figures. The overall accuracy, weighted by the area proportions of the various land cover classes, is 73 % based on a set of 3167 samples. These results are discussed with regards to the previous experiences.JRC.DDG.H.3-Global environement monitorin

    Mapping global cropland and field size

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    A new 1 km global IIASA ‐IFPRI cropland percentage map for the baseline year 2005 has been developed which integrates a number of individual cropland maps at global to regional to national scales. The individual map products include existing global land cover maps such as GlobCover 2005 and MODIS v.5, regional maps such as AFRICOVER and national maps from mapping agencies and other organizations. The different products are ranked at the national level using crowdsourced data from Geo‐Wiki to create a map that reflects the likelihood of cropland. Calibration with national and subnational crop statistics was then undertaken to distribute the cropland within each country and subnational unit. The new IIASA ‐IFPRI cropland product has been validated using very high‐resolution satellite imagery via Geo‐Wiki and has an overall accuracy of 82.4%. It has also been compared with the EarthStat cropland product and shows a lower root mean square error on an independent data set collected from Geo‐Wiki. The first ever global field size map was produced at the same resolution as the IIASA ‐IFPRI cropland map based on interpolation of field size data collected via a Geo‐Wiki crowdsourcing campaign. A validation exercise of the global field size map revealed satisfactory agreement with control data, particularly given the relatively modest size of the field size data set used to create the map. Both are critical inputs to global agricultural monitoring in the frame of GEOGLAM and will serve the global land modelling and integrated assessment community, in particular for improving land use models that require baseline cropland information.2151980199
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