OSM Landuse/Landcover was generated using OpenStreetMap (OSM) and remote sensing (Sentinel-2 and Landsat) images. Sixty OSM tag combinations were used to allocate a land use classification based on the Corine Land Cover (CLC) level 2 legend for most of the area, and the remaining gaps were filled with remote sensing data. For more details, see the references below.
Order OSM-LULC data
Click on the map to select all (Sentinel-2) tiles for which you want to order OSM Landuse/Landcover data and submit your request below.
Tiles of “OSM Landuse Landcover” can be used freely and without charge by any individuals. If you intend to use tiles from “OSM Landuse/Landcover” services in any published applications, please contact us.
Commercial usage of the data and services provided by “OSM Landuse Landcover” does need approval! OpenStreetMap data is available under the Open Database License.
- LandSense: A Citizen Observatory and Innovation Marketplace for Land Use and Land Cover Monitoring
- Schultz, M., Voss, J., Auer, M., Carter, S., & Zipf, A. (2017). Open land cover from OpenStreetMap and remote sensing. International Journal of Applied Earth Observation and Geoinformation, 63, 206–213. https://doi.org/10.1016/j.jag.2017.07.014
- Voß, J., Auer, M., Schultz, M. & Zipf, A. (2017): Einsatz von OpenStreetMap Daten zur Erstellung von Landnutzungsprodukten am Beispiel von OSM Landuse Landcover. Symposium für Angewandte Geoinformatik AGIT 2017. Salzburg