Tag: OSMlanduse

  • Functionality Update for OSM Landuse Landcover

    Functionality Update for OSM Landuse Landcover

    We are pleased to announce that https://osmlanduse.org has received a functionality update. Thanks to the cooperation of GIScience and HeiGIT under the IDEAL-VGI project, our researchers were able to add a number of new features to the interactive map. The map displays OSM land-use and land-cover information. The two different data layers that made up […]

  • Automatic mapping of national surface water with OpenStreetMap and Sentinel-2 MSI data using deep learning

    Large-scale mapping activities can benefit from the vastly increasing availability of earth observation (EO) data, especially when combined with volunteered geographical information (VGI) using machine learning (ML). High-resolution maps of inland surface water bodies are important for water supply and natural disaster mitigation as well as for monitoring, managing, and preserving landscapes and ecosystems. In […]

  • HeiGIT Services User Feedback Survey – only one more week!

    HeiGIT wants to serve you even better. Therefore we are conducting user feedback surveys regarding our various services. If you have ever used one of our OpenStreetMap based Online Services (or will do so now) for whatever purpose, we’d be very happy if you took the time and filled out the respective survey. THANK YOU! […]

  • LandSense Horizon 2020 A Citizen Observatory and Innovation Marketplace for Land Use and Land Cover Monitoring, project successful finished

    The Horizon 2020 LandSense project was concluded successful. Please find a selection of the produced publications and deliverables here. The project has enabled our group to pursue quality aspects of voluntarily collected geo information data and to ramp up efforts related to OSMlanduse. Together with the University of Nottingham (Giles Foody) and Institut national de l’information […]

  • OSMlanduse European Union validation effort EuroSDR conference 11/24/2020

    During the EuroSDR workshop we will present our OSMlanduse product (earlier post) to the land use (LU) and land cover community (LC) and highlight class accuracies and a benchmark comparison towards existing national authoritative products. Accuracy estimated to be presented are based on more than 7k reference points collected in the past month through a […]

  • OSMlanduse wird auf Geonet.MRN Meetup zu Flächennutzung und Flächenmanagement vorgestellt: Donnerstag 29.10.2020, 16:30

    Am am 29.10.20, 16:30 Uhr veranstaltet das Netzwerk Geoinformation der Metropolregion Rhein-Neckar GeoNet.MRN zum Thema: Flächennutzung und Flächenmanagement: Ein Geoinformation Meetup Teilnahme: Kostenlos und ohne Anmeldung mit Teams unter diesem Link. Themen des Meetups sind die Online-Beteiligung von Kommunen, Bürgern sowie Firmen und Institutionen im Bereich Flächenmanagement mit Fokus auf die Siedlungs- und Verkehrsentwicklung und die […]

  • OSMlanduse European Union validation effort

    We launched a validation campaign of our new 10meter resolution OSMlanduse product for the member states of the European Union. Please contribute to the validation here. A technique where contributions are checked against each other is implemented to promote quality of information. The mapathon comes in four themes: nature, urban, agriculture or expert. While the expert […]

  • Contiguous high resolution OSMlanduse map of the European Union by combining Copernicus data and OpenStreetMap

    Find here a new update of the OSMlanduse.org map. By injecting known tags provided by OpenStreetMap (OSM) into a remote sensing feature space using deep learning, tags were predicted when absent thus creating a contiguous map – initially for the member states of the EU. By design our method can be applied when- and wherever […]

  • New DFG project: IdealVGI – Deep Learning with OSM

    Recently a new DFG project proposal was accepted to the GIScience Research Group Heidelberg within the DFG priority programme VisVGI (Volunteered Geographic Information: Interpretation, Visualisation and Social Computing” [SPP 1894]). It is joint collaboration project together with Prof. Begüm Demir from TU Berlin. IDEAL-VGI: Information Discovery from Big Earth Observation Data Archives by Learning from […]

  • OpenStreetMap (OSM) Workshop at the University of Jena

    Last week, GIScience Heidelberg successfully held two collaborative workshops about OpenStreetMap (OSM) at the Department of Earth Observation in Jena. Dr. Chistian Thiel and his team from the University of Jena kindly organized the event. Three members of the GIScience Research Group and the Heidelberg Institute for Geoinformation Technology (HeiGIT), Dr. Michael Schultz, Benjamin Herfort […]

  • Usability of Flickr tags for land use/land cover attribution

    A new study has been published in the international open access journal Geo-spatial Information Science (GSIS, Taylor & Francis), that explores the land use/land cover (LULC) separability by the machine-generated and user-generated Flickr photo tags (i.e. the auto-tags and the user-tags, respectively), based on an authoritative LULC dataset for San Diego County in the United […]

  • The potential of OSM for landuse, health and humanitarian applications

    Recently, Michael Schulz from GIScience Heidelberg gave a talk at the colloquium of Prof. Carl Baierkuhnlein at the University of Bayreuth. During his talk he presented the results on OpenStreetMap usage targeting humanitarian applications, healthy and green routing based on openrouteservice and ecological analysis or the global climate protection map. OSM is harnessed for an abundance […]