Litcius/Paper detail

CLC+ Backbone: Set the Scene in Copernicus for the Coming Decade

Markus Probeck, Inés Ruiz, Gernot Ramminger, Christoff Fourie, Pirmin Maier, Martin Ickerott, Cornelia Storch, Anna Homolka, Sybrand Jacobus Muller, Himanshu Tiwari, André Stumpf, Sooyeon Chun, Cristina Mattos, Amelie Lindmayer, Fahad Jahangir, Pilar Endara, Fabian Berndt, Mario Dohr, W. Kapferer, Christian Schleicher, Stefan Ralser, Florian Innerbichler, Michael Riffler, Martin Siklar, Dora Aifantopoulou, Sideris Paralykidis, Camille Pinet, Gabriel Jaffrain, Annalaura di Federico, Marco Corsi, Tobias Langanke, Hans Dufourmont

202113 citationsDOI

Abstract

With the CLC+ product suite as part of the Copernicus Land Monitoring Service (CLMS), the European Environment Agency (EEA) has initiated a true paradigm change in European land cover/land use monitoring, building on the 30-years-long rich legacy of the European CORINE Land Cover (CLC) flagship product. The CLC+ Backbone, as first component of the upcoming CLC+ era, will feature an object-oriented wall-to-wall high-resolution inventory of European land cover and its characteristics in unprecedented quality and detail, for the reference year 2018. It will comprise a pan-European combined “hardbone” and “soft-bone” segmentation of vector-based stable landscape objects and a raster-based classification of 11 EAGLE compliant land cover classes at 10m spatial resolution. To this end, a combination of image segmentation and Deep Learning approaches are implemented within a cloud-based infrastructure for a fully integrated analysis of optical/radar time series of Sentinel-1/-2 satellite imagery and auxiliary data. Vector and raster datasets will be fused into a fully attributed, 18 land cover class, vector product with 0.5 ha minimum mapping unit (MMU), additionally incorporating a multitude of further information layers derived from satellite data and various other Copernicus products.

Topics & Concepts

CopernicusRaster graphicsComputer scienceRemote sensingLand coverGround segmentArtificial intelligenceGeographySatelliteLand useEngineeringAstronomyPhysicsAerospace engineeringCivil engineeringAutomated Road and Building ExtractionRemote Sensing and LiDAR ApplicationsGeographic Information Systems Studies