@article{JRC103093,
	number = {LB-NA-28130-EN-N},
	address = {Luxembourg (Luxembourg)},
	issn = {1831-9424},
	year = {2016},
	author = {Ferri S and Siragusa A},
	isbn = {978-92-79-62216-8},
	publisher = {Publications Office of the European Union},
	abstract = {The European Union and the European Space Agency funded the CSC-Data Access project in the frame of the European Community's Seventh Framework Programme FP7/2007-2013 and the Multiannual Financial Framework Programme (MFF). It is an integral part of the GMES/Copernicus Space Component Programme.
		The CORE datasets aim at consolidating predefined needs collected from Copernicus services and other activities requesting Earth Observation data whether financed by the Union or related to Union?s policies, like Union financed research projects and the activities of Union agencies (EEA, EMSA, SatCen, etc.)
		For an initial period of 2007-2011, data access management was funded through a data access grant between the EC and ESA. In 2012 the JRC, taking advantage of the first wall-to-wall European dataset with very high resolution (DWH_MG2b_CORE_03) and being financed by DG REGIO, derived the first European built-up layer, with related information using the GHSL tool, ad hoc tuned on the input dataset (EU GHSL).
		Through the Data Access Portfolio (DAP) and using the GHSL tool, the JRC Disaster Risk Management Unit could provide European wall-to-wall maps of settlements evolution until 2020.
		According to the Data Warehouse document which describes the data availability, the acquisition campaign shall be repeated every 3 years taking 2012 as starting reference. Under this condition, at least 2 European mosaic shall be produced (2015 and 2018 referenced). Considering also the  DWH_MG2b_CORE_03, which has been already processed and delivered, maps  of settlements of three epochs (2012, 2015, 2018) would be available for studying urban and rural phenomena and trends. 
		The report illustrates the results of initial tests conducted using the EU GHSL tool on the new VHR_IMAGE_2015, which promises to be much more accurate and better documented than the previous one.
		},
	title = {An insight of the VHR European data: The processing of the new VHR_IMAGE_2015 using the GHSL tools. A feasibility production test.},
	url = {},
	doi = {10.2788/4022}
}