Category: Research
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Announcing openrouteservice version 9.0.0: codename “Europa”
We are proud to announce the release of openrouteservice version 9.0.0, codename “Europa”. In this release, there are a number of new features that make running your own instance a whole lot easier, and some changes that improve the general routing results. For our API users, this release will not mean much, as just a…
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Major HELIOS++ Release: v2.0.0
We are happy to release a new major version of HELIOS++: https://github.com/3dgeo-heidelberg/helios/releases What’s new in this release? Installation The new way to install HELIOS++ is via the conda or mamba package managers. We recommend mamba or micromamba. After creating a dedicated Python environment for your HELIOS++ project and activating it, run: mamba install helios or…
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Research Visit to Rio de Janeiro
Building on ongoing efforts to enhance urban health management and mosquito-borne disease monitoring in the municipality of Rio de Janeiro, PhD candidate Steffen Knoblauch returned to the city for a second visit deepen collaborations and explore further applications of his research findings. He delivered lectures at several research institutions such as Universidade Federal do Rio…
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Reorganising land use: balancing food, water, and carbon storage
How can humanity meet the growing demand for food while addressing climate change and preserving vital water resources? A recent lecture by Sven Lautenbach, based on a paper addressing global land management, revisited this critical question. The findings reveal that a radical spatial reorganisation of land use could double food production, conserve water, and significantly…
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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…
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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…
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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…
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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…
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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…
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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.…
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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…
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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…