OSM Landuse Landcover is a WebGIS application to explore the OpenStreetMap database specifically in terms of landuse and landcover information.
Land use tags were predicted when absent using belows (Schultz et al. 2020 in prep, Schultz et al. 2017) method. This was first addressed for Germany (2017) and now (2020) - with the improved methods - for all EU countries.
- Project lead - Alexander Zipf, Michael Schultz
- Website - Michael Auer
- Cartographic styling of landuse/landcover overlay - Michael Auer, Janek Voss
- Data of landuse/landcover overlay by OpenStreetMap contibutors, under ODbL.
Missing OSM data (gaps) were filled for Europe (ongoing) using data derived from Sentinel-2 10m RGB imagery provided through Daniel Weill of Food and Agriculture Organization (FAO) and Deep Learning Methods developed by Michael Schultz, Hao Li and Zhaoyan Wu
- Geoserver WMS & MapProxy tilecache maintanance - Michael Auer (HeiGIT gGmbH)
- PostgreSQL/PostGIS Database with OpenStreetMap Data - Enrico Steiger, Maxim Rylov, Johannes Lauer, Markus Götz, Michael Auer
- Background map - © OpenStreetMap contributors under CC BY-SA 2.0
- Place Search - powered by Nominatim
OSM keys used for classification
Classification of the landuse/landcover classes are similar to the classification level 2 of the CORINE Landcover classes.
The following OSM keys were used to form the respective class:
residential, garages1.2. Industrial, commercial and transport units
railway, industrial, commercial, retail, harbour, port, lock, marina1.3. Mine, dump and construction sites
quarry, construction, landfill, brownfield1.4. Artificial, non-agricultural vegetated areas
stadium, recreation_ground, golf_course, sports_center, playground
pitch, village_green, allotments, cemetery, park, zoo, track, garden, raceway
greenhouse_horticulture, greenhouse, farmland, farm, farmyard2.2. Permanent Crops
vineyard, orchard2.3. Pastures
forest, wood3.2. Shrub and/or herbaceous vegetation associations
grass, greenfield, scrub, heath, grassland3.3. Open spaces with little or no vegetation
cliff, fell, sand, scree, beach, mud, glacier, rock4.1. Inland wetlands
marsh, wetland4.2. Coastal wetlands
salt_pond, tidal5. Water bodies
water, riverbank, reservoir, basin, dock, canal, pond
Overlay tiles of "OSM Landuse Landcover" can be used freely and without charge by any individuals through this website.
If you intend to use tiles or statistics from "OSM Landuse Landcover" services in your own applications please contact us.
Commercial usage of the services provided by "OSM Landuse Landcover" does need approval!
OpenStreetMap data is available under the Open Database License.
Related Project & Literature
- 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
Prof. Dr. Alexander Zipf
Heidelberg Institute for Geoinformation Technology (HeiGIT)