Category: Publications

  • M3C2-EP: Pushing the limits of 3D topographic point cloud change detection by error propagation

    In our efforts to improve change detection and quantification in time series of 3D point clouds, we have published yet another milestone. Our paper, titled M3C2-EP: Pushing the limits of 3D topographic point cloud change detection by error propagation, presents a novel method to better separate noise from actual change in point clouds sensed with…

  • OSM data quality analysis for different stages of the mapping process

    Slums are an important operational area for humanitarian organisations: Because of provisional housing, poor sanitation and difficult socio-political circumstances offers of help from such organisations are important and often necessary. For such deployments, humanitarian actors rely heavily on Volunteered Geographic Information (VGI), as official maps and data are often incomplete. This makes it all the…

  • AGILE best short paper award nominees

    We are happy to announce that two of our papers have been shortlisted as candidates for the best short paper award at the AGILE 2021 conference : Detecting OpenStreetMap missing buildings by transferring pre-trained deep neural networks Jan Pisl, Hao Li, Sven Lautenbach, Benjamin Herfort, and Alexander Zipf. AGILE GIScience Ser., 2, 39, https://doi.org/10.5194/agile-giss-2-39-2021, 2021 Assessing shop completeness…

  • GIScience and HeiGIT contributions to AGILE 2021 conference

    The AGILE 2021 conference is taking place this week. It is the the 24rd AGILE conference on GIScience. AGILE is the Association of Geographic Information Laboratories in Europe and the 2021 conference is for the first time held as a virtual conference. As in earlier years GIScience Heidelberg and HeiGIT are contributing to the conference with several…

  • Detecting OpenStreetMap missing buildings by transferring pre-trained deep neural networks

    Recently, a new research paper “Detecting OpenStreetMap missing buildings by transferring pre-trained deep neural networks” (Pisl, J., Li, H., Herfort, B., Lautenbach, S., Zipf, A. 2021) has been accepted at the the 24th AGILE conference 2021. The conference will take place virually on June 8 to 11, 2021. Accurate and complete geographic data of human…

  • The impact of recent gully filling practices on wheat yield at the Campiña landscape in Southern Spain

    The significance of gully filling practices on agricultural production has been only rarely evaluated in literature. In this study, a medium-sized catchment was selected, for being representative of the conventional farming practices on annual crops in the Campiña landscape in Southern Spain. During two wheat campaigns, an analysis of the spatial and temporal evolution of…

  • Deriving indicators for Points of Interest and analyzing mixed activities in urban areas

    We are pleased that our research paper “Deriving indicators for Points of Interest and analyzing mixed activities in urban areas” (Ullah, Lautenbach, Zipf 2021) has been accepted at the 12th International Symposium on the Digital Earth (ISDE) scheduled within the GI Week 2021 in Salzburg. The conference will take place from July 5th to July…

  • LOKI at vEGU 2021 on 26 and 29 April

    Join us and many European researchers from the Earth, planetary and space sciences in the virtual European Geosciences Union (EGU) assembly from 19 to 30 April 2021! Are you interested in innovative methods and concepts applied to natural hazards? Then join our 2-minute talks on research within the LOKI project on Monday, 26 April, and…

  • Mapping Public Urban Green Spaces Based on OpenStreetMap and Sentinel-2 Imagery Using Belief Functions

    Public urban green spaces are important for the urban quality of life. Still, comprehensive open data sets on urban green spaces are not available for most cities. As open and globally available data sets, the potential of Sentinel-2 satellite imagery and OpenStreetMap (OSM) data for urban green space mapping is high but limited due to…

  • New publication on the Impact of Community Happenings in OpenStreetMap

    Online knowledge projects such as OpenStreetMap (OSM) and Wikipedia have gained high importance, trust and even economic value. These projects and their content are maintained and enhanced by online communities that evolve around them. Yet, these communities and their members are often ignored when the respective data or knowledge is used. In a recent publication…

  • New paper published about the OSM Sketch Map Tool

    The Sketch Map Tool supports participatory mapping approaches and risk communication. An new paper presents the different functionalities of the tool. OSM data quality can be evaluated regarding the fitness for the sketch-map-approach. Based on the great idea of Field Papers, paper maps can be printed out for the use in the field, and afterwards,…

  • Tagging the main entrances of public buildings based on OpenStreetMap and binary imbalanced learning

    Determining the location of a building’s entrance is crucial to location-based services, such as wayfinding for pedestrians. Unfortunately, entrance information is often missing from current mainstream map providers. Frequently, automatic approaches for detecting building entrances are based on street-level images that are not widely available. To address this issue, in a recently published paper in…