Three new in-situ datasets available now: Capitanata, Italy (2014-1015) and Kenya (2016)
Multi-temporal field campaigns have been conducted over agricultural site in Capitanata, Italy, in 2014 and 2015, in the framework of JECAM program. Another field campaign has been conducted in 2016 over the cropland region of Maragua, located in the upper Tana reiver basin, in Kenya. In-situ fields measurements and resulting up-scaled high resolution maps are now available.read more
Two new 2015 in-situ datasets available: Collelongo, Italy and Pshenichne, Ukraine
Multi-temporal field campaigns have been conducted over a forest site in Collelongo, Italy, and over the cropland area of Pshenichne, Ukraine during 2015. In-situ fields measurements and resulting up-scaled high resolution maps are now available.read more
Maps of FAPAR per crop type available over South-West area
The dekadal maps of FAPAR per crop types of the South-West area have been generated from high resolution FAPAR maps averaged per each crop type of a classification map of the area.read more
In preparation of the use of Sentinel-2 data, ImagineS has adapted to decametric reflectances the retrieval methodology of kilometric and hectometric biophysical products (LAI, FAPAR, FCover) of the GEOV* family disseminated by the Copernicus Global Land service. As a demonstration, the method has been applied to Landsat-8 time series acquired over 8 ImagineS sites across the world, representing various conditions of cropland and grassland. These products are now available. Their quality is assessed by comparison with ground measurements collected over these demonstration sites.
|FAPAR over Pshenichne, October 2014 FAPAR over Ottawa, July 2014|
Built on the achievements of the FP7/geoland2 project which has setting-up pre-operational infrastructures of the Copernicus Land Service, ImagineS consolidates and continues of the research and development efforts to support the operations of the Global component of the Copernicus Land Service, preparing the exploitation of the future Sentinel data in an operational context. Further, ImagineS works to favor the emergence of an original agricultural service dedicated to the monitoring of crop and fodder production.