Articles | Volume 17, issue 11
https://doi.org/10.5194/essd-17-6149-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-17-6149-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
A global reference data set for land cover mapping at 10 m resolution
NODES, ASA, International Institute for Applied Systems Analysis (IIASA), 2361 Laxenburg, Austria
Steffen Fritz
NODES, ASA, International Institute for Applied Systems Analysis (IIASA), 2361 Laxenburg, Austria
Martina Dürauer
NODES, ASA, International Institute for Applied Systems Analysis (IIASA), 2361 Laxenburg, Austria
Ivelina Georgieva
NODES, ASA, International Institute for Applied Systems Analysis (IIASA), 2361 Laxenburg, Austria
Marcel Buchhorn
VITO Remote Sensing, 2400 Mol, Belgium
Luc Bertels
VITO Remote Sensing, 2400 Mol, Belgium
Nandika Tsendbazar
Laboratory of Geo-information Science and Remote Sensing, Wageningen University, 6700 HB Wageningen, the Netherlands
Ruben Van De Kerchove
VITO Remote Sensing, 2400 Mol, Belgium
Daniele Zanaga
VITO Remote Sensing, 2400 Mol, Belgium
Dmitry Schepaschenko
NODES, ASA, International Institute for Applied Systems Analysis (IIASA), 2361 Laxenburg, Austria
Linda See
NODES, ASA, International Institute for Applied Systems Analysis (IIASA), 2361 Laxenburg, Austria
Martin Herold
Remote Sensing and Geoinformatics section, GFZ Helmholtz Centre for Geosciences, 14473 Potsdam, Germany
Bruno Smets
VITO Remote Sensing, 2400 Mol, Belgium
Michael Cherlet
European Commission-Joint Research Center, 1050 Brussels, Belgium
Andreas Brink
European Commission-Joint Research Center, 1050 Brussels, Belgium
Ian McCallum
NODES, ASA, International Institute for Applied Systems Analysis (IIASA), 2361 Laxenburg, Austria
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Short summary
This paper presents a unique global reference data set for land cover mapping at a 10 m resolution, aligned with Sentinel-2 imagery for the year 2015. It contains more than 16.5 million data records at a 10 m resolution (or 165 K data records at 100 m) and information on 12 different land cover classes. The data set was collected by a group of experts through visual interpretation of very high resolution imagery, along with other sources of information provided in the Geo-Wiki platform.
This paper presents a unique global reference data set for land cover mapping at a 10 m...
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