OSM Landuse Landcover is a WebGIS application to explore the OpenStreetMap database specifically in terms of landuse and landcover information.
Absence of land use tags resulted in data gaps. Using belows (Schultz et al. 2017) approach this was addressed for Germany.
Currently the map is still under development.
Underlying Data can be requested through our website: https://data.osmlanduse.org.
It may take up to serveral days, before your request can be fulfilled.Order Data Here
- Project lead - Alexander Zipf
- 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 Germany using data derived from Landsat imagery (USGS/NASA Landsat Program)
- Geoserver WMS & MapProxy maintanance - Michael Auer
- 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
This work has kindly been supported by the Klaus Tschira Foundation (KTS) Heidelberg in the context of establishing the Heidelberg Institute for Geoinformation Technology (HeiGIT).
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
ContactGIScience Research Group
Institute of Geography
Heidelberg University, Germany