News of Heidelberg University’s GIScience Research Group.
Posted in Events, OSM, Publications, Research, VGI Group on Jun 9th, 2021
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 [...]
Posted in Research on Apr 30th, 2021
(English version below)
Die Folgen des Klimawandels sind besonders stark in den höheren Breiten unseres Planeten zu spüren. Die Arktis erwärmt sich derzeit überdurchschnittlich schnell. Dies führt zum Auftauen von Permafrost (dauerhaft gefrorenen Böden) mit ernsthaften Konsequenzen für das arktische Ökosystem. Etwa ein Viertel der Landfläche in der Nördlichen Hemisphäre ist durch Permafrost gekennzeichnet. Darin sind [...]
Posted in Public Health, Research on Apr 22nd, 2021
A couple of viruses are of global interest with respect to human health and well-being. These pathogens include the novel coronavirus SARS-CoV-2, Dengue, Chikungunya, Yellow fever, Zika and Ebola. These viruses show interesting spatio-temporal dynamics. Improved understanding of the driving and moderating factors will help to cope with these pathogens.
The recently funded new project geoEpi [...]
Posted in 3D, Events, Lidar Group on Mar 26th, 2021
Lukas Winiwarter of the 3DGeo group was invited by the Austrian Society of Surveying and Geoinformation (OVG) to give a talk on the application of deep learning on point clouds, which took place on March 24. In his talk, Lukas presented four different state-of-the-art approaches to consider the irregular, unordered structure of point clouds, which [...]
Posted in Land use, OSM, Research, Services on Nov 16th, 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 [...]
Posted in Crowd Analyser, Land use, OSM, Publications, Research on Nov 6th, 2020
As a user‐generated map of the whole world, OpenStreetMap (OSM) provides valuable information about the natural and built environment. However, the spatial heterogeneity of the data due to cultural differences and the spatially varying mapping process makes the extraction of reliable information difficult. A newly published study investigates the variability of association rules extracted from [...]
This week 19.-23.10. the autumn school Urban Data Science takes place as a online course set up together by GIScience Heidelberg and the Institute for Transport Studies (IfV), KIT. It is part of an ongoing application for a HeiKA (Heidelberg Karlsruhe Strategic Partnership) project that would foster joint teaching modules between GIScience HD and IfV [...]
Posted in Land use, OSM, Research, Services on Oct 6th, 2020
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 campaign [...]
Posted in Land use, OSM, Research, Services on Sep 25th, 2020
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 [...]
Posted in Crowd Analyser, Publications on Aug 20th, 2020
Semantically rich maps are the foundation of indoor location‐based services. Many map providers such as OpenStreetMap and automatic mapping solutions focus on the representation and detection of geometric information (e.g., shape of room) and a few semantics (e.g., stairs and furniture) but often still neglect room usage. To mitigate the issue, a new published paper [...]