![]() ![]() Imperviousness status and change for reference year 2018 in 10 meter resolution. Full re-processing for reference years 2006, 2009, 2012 and change products, and 2015 status products in 20m resolution Imperviousness and imperviousness change. Imperviousness and imperviousness change for reference years 2006, 2009, 2012 and change products in 20m resolution The HRLs can then be used, for example, as attributes for different kind of more aggregated spatial units, such as NUTS3, CLC polygons, regular grids or designated areas. Detailed specifications (now called user manuals) for the 2018 reference year products can be found here: Imperviousness, Forest, Grassland, Water & Wetness, Small Woody Features.Detailed specifications for each product family can be found here for the 2015 (and earlier) products: Imperviousness, Forest, Grassland, Water & Wetness and Small Woody Features. ![]() They are produced in a combined centralized and decentralized approach, involving service industry through market mechanisms and participating countries through grant agreements. All products are mapping the features under consideration for the whole of the EEA-39 area. ![]() All of these five products are continuing existing products, some with longer time series existing (Imperviousness and tree-cover/forest), and three products that have only one previous reference year (2015) (grassland, the water & wetness products and Small Woody Features). the level of sealed soil (imperviousness), tree cover density and forest type, grasslands, wetness and water, and small woody features. Since 2018, the products have increased in resolution to 10 meters, thus following the source resolution of the Sentinel-2 imagery.įive themes have been identified so far, corresponding with the main themes from CLC, i.e. In addition to high resolution (HR) data, since 2015, we also use very high resolution (VHR) imagery for some of the products. The main sources are now (since the 2018 reference year) the Sentinel Satellites (in particular Sentinel-2 and Sentinel-1). Since the 2015 reference year, the production is increasingly based on time series of satellite images from a number of different sensors, including the combination of optical and radar data. The HRLs are produced from satellite imagery through a combination of automatic processing and interactive rule based classification. Pan-European High Resolution Layers (HRL) provide information on specific land cover characteristics, and are complementary to land cover / land use mapping such as in the CORINE land cover (CLC) datasets. ![]()
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