Category: Research

  • Kick-off: Extract4D Project

    Kick-off: Extract4D Project

    Last week, we, 3DGeo Heidelberg (Prof. Dr. Bernhard Höfle), had a kick-off meeting for our new joint research project Extract4D, led by Prof. Dr. Katharina Anders (TU Munich, Remote Sensing Applications). Here is a sneak peek at this exciting research project. Background The Earth’s surface is constantly being shaped by wind, water and gravity. Observing…

  • New Paper: GeoAI for Science and the Science of GeoAI

    New Paper: GeoAI for Science and the Science of GeoAI

    GeoAI integrates AI, geospatial big data, and high-performance computing for solving data- and computation-intensive geospatial problems. This field has gained continuous momentum, driven by strong demands in geography and the rapid advancement of AI. Wenwen Li´s paper “GeoAI for Science and the Science of GeoAI”, published in the latest edition of the Journal of Spatial…

  • New Paper: “Enriching building function classification using Large Language Model embeddings of OpenStreetMap Tags”

    New Paper: “Enriching building function classification using Large Language Model embeddings of OpenStreetMap Tags”

    Rapid global urbanization is placing immense pressure on planners to make informed decisions that promote sustainable growth. A crucial aspect of this challenge is understanding how urban buildings are used. Traditionally, classifying the function of buildings—such as residential or commercial—relies on costly and subjective on-site surveys. However, advances in AI are poised to transform this…

  • Analysis of OSM building data completeness using new data

    Analysis of OSM building data completeness using new data

    With thousands of people mapping in OSM every day, missing building data in urban centers is steadily decreasing. Since OSM is a widely used source for projects researching urban phenomena around the world, a good data quality and an even distribution are important factors. If a spatial bias is present but not accounted for, researchers…

  • Celebrating 20 Years of OpenStreetMap: Openrouteservice’s Support of the Community

    Celebrating 20 Years of OpenStreetMap: Openrouteservice’s Support of the Community

    August 9 marks a turning point for the global mapping community: the 20th anniversary of OpenStreetMap (OSM). For two decades, OSM has revolutionized the way we perceive and interact with maps, transforming them from static representations to dynamic, community-driven resources. OpenStreetMap began as a visionary project aimed at creating a free, editable map of the…

  • New Paper in Nature ‘Scientific Reports’: „High-resolution Mapping of Urban Aedes Aegypti Immature Abundance Through Breeding Site Detection Based on Satellite and Street View Imagery“

    New Paper in Nature ‘Scientific Reports’: „High-resolution Mapping of Urban Aedes Aegypti Immature Abundance Through Breeding Site Detection Based on Satellite and Street View Imagery“

    Knoblauch, S; Su Yin, M.; Chatrinan, Krittin; Rocha, Antonio A. de A.; Haddawy, P.; Biljecki, F.; Lautenbach, S.; Resch, B.; Arifi, D.; Jänisch, T.; Morales, I.; and Zipf, A published the paper ‘High-resolution mapping of urban Aedes aegypti immature abundance through breeding site detection based on satellite and street view imagery’ in Nature Scientific Reports.…

  • Participatory Mapping for Cultural Landmarks

    Participatory Mapping for Cultural Landmarks

    Claudio Sossio De Simone is a PhD candidate at the University of Rome Tor Vergata in the field of Cultural Heritage, Education and Territory. His research interests include GIS science and geoinformation applied to cultural heritage, as well as the geo-historical study of rural landscapes. The Sketch Map Tool was used as part of his…

  • Deep learning with simulated laser scanning data for 3D point cloud classification

    Deep learning with simulated laser scanning data for 3D point cloud classification

    Esmorís, A.M., Weiser, H., Winiwarter, L., Cabaleiro, J.C. & Höfle, B. (2024): Deep learning with simulated laser scanning data for 3D point cloud classification. ISPRS Journal of Photogrammetry and Remote Sensing. Vol. 215, pp. 192-213. DOI: 10.1016/j.isprsjprs.2024.06.018 3D point clouds acquired by laser scanning are invaluable for the analysis of geographic phenomena. To extract information…

  • OSM Landuse Data is available in HeiData

    OSM Landuse Data is available in HeiData

    We are excited to announce that the data displayed on OSM – Landuse is now freely accessible. These data sets offer valuable insights and can be utilized for various applications. Urban planners will find the data useful for development projects and zoning regulations, while environmental researchers can study land use changes and their impact on…

  • Call for Papers: Special Issue on Urban AI in Environment and Planning B

    Call for Papers: Special Issue on Urban AI in Environment and Planning B

    Together with collaborators from Urban Analytics Lab Singapore and CICI Lab, we are organising a special issue in Environment and Planning B: Urban Analytics and City Science, on the topic of Urban AI for a Sustainable Built Environment. Here is the summary of the call for papers: “Recently, Urban AI has become an emerging field…

  • Advancing Vector Control Through GeoAI: Insights from Steffen Knoblauch’s talk at The Program of Scientific Computing (PROCC) at FIOCRUZ

    Advancing Vector Control Through GeoAI: Insights from Steffen Knoblauch’s talk at The Program of Scientific Computing (PROCC) at FIOCRUZ

    On May 15th, the Program of Scientific Computing (PROCC) at Fiocruz hosted Steffen Knoblauch, a GIScience Ph.D. candidate, for his presentation titled “GeoAI 4 Dengue: Harnessing Geospatial Big Data to Guide Vector Control.” This event, organized in partnership with The Global Health Network Latin America and the Caribbean (TGHN LAC), provided a platform for academic…

  • ohsome Quality API: New Features

    ohsome Quality API: New Features

    Are you ready to take your OpenStreetMap (OSM) data analysis to the next level? We’re excited to showcase the latest features of our ohsome Dashboard, designed to provide you with insights into OSM data quality. With the ohsome Dashboard, analyzing OSM data has never been easier. Whether you’re interested in evaluating mapping saturation, currentness, or…