Preprints
https://doi.org/10.5194/essd-2025-468
https://doi.org/10.5194/essd-2025-468
21 Aug 2025
 | 21 Aug 2025
Status: this preprint is currently under review for the journal ESSD.

A global reference data set for land cover mapping at 10 m resolution

Myroslava Lesiv, Steffen Fritz, Martina Duerauer, Ivelina Georgieva, Marcel Buchhorn, Luc Bertels, Nandika Tsendbazar, Ruben Van De Kerchove, Daniele Zanaga, Dmitry Schepaschenko, Linda See, Martin Herold, Bruno Smets, Michael Cherlet, and Ian Mccallum

Abstract. 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 (e.g., from Google Maps, Microsoft Bing, ESRI World), along with other sources of information provided in the Geo-Wiki platform (e.g., Normalized Difference Vegetation Index time series, Sentinel-2 image time series, geo-tagged photographs, and street view imagery). To ensure high quality and consistency among the experts that collected the data, regular coordination meetings took place, there were regular quality checks of expert submissions, and comparison with regional land cover maps was undertaken. This extensive reference land cover data set can be used in various applications, e.g., land cover analysis, including mapping and quality verification, ecosystems mapping and modelling, and biodiversity and cropland studies, among others. The data set is available for download at https://zenodo.org/records/14871660.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this paper. While Copernicus Publications makes every effort to include appropriate place names, the final responsibility lies with the authors. Views expressed in the text are those of the authors and do not necessarily reflect the views of the publisher.
Share
Myroslava Lesiv, Steffen Fritz, Martina Duerauer, Ivelina Georgieva, Marcel Buchhorn, Luc Bertels, Nandika Tsendbazar, Ruben Van De Kerchove, Daniele Zanaga, Dmitry Schepaschenko, Linda See, Martin Herold, Bruno Smets, Michael Cherlet, and Ian Mccallum

Status: open (until 27 Sep 2025)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
Myroslava Lesiv, Steffen Fritz, Martina Duerauer, Ivelina Georgieva, Marcel Buchhorn, Luc Bertels, Nandika Tsendbazar, Ruben Van De Kerchove, Daniele Zanaga, Dmitry Schepaschenko, Linda See, Martin Herold, Bruno Smets, Michael Cherlet, and Ian Mccallum

Data sets

Global land cover data set at 10m for 2015 (Geo-Wiki) Myroslava Lesiv https://doi.org/10.5281/zenodo.14871660

Myroslava Lesiv, Steffen Fritz, Martina Duerauer, Ivelina Georgieva, Marcel Buchhorn, Luc Bertels, Nandika Tsendbazar, Ruben Van De Kerchove, Daniele Zanaga, Dmitry Schepaschenko, Linda See, Martin Herold, Bruno Smets, Michael Cherlet, and Ian Mccallum

Viewed

Total article views: 73 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
69 3 1 73 0 0
  • HTML: 69
  • PDF: 3
  • XML: 1
  • Total: 73
  • BibTeX: 0
  • EndNote: 0
Views and downloads (calculated since 21 Aug 2025)
Cumulative views and downloads (calculated since 21 Aug 2025)

Viewed (geographical distribution)

Total article views: 73 (including HTML, PDF, and XML) Thereof 73 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 22 Aug 2025
Download
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.
Share
Altmetrics