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GIScience Blog

Category: Research

  • A new infrastructure for exploring and analyzing OpenStreetMap

    Ever wondered how you can generate/use some meta-information about OpenStreetMap for your project? Are you interested in visualizing different aspects of OpenStreetMap data? In the article below, we present a server infrastructure to collect and process data about different aspects of OpenStreetMap. The resulting data are offered publicly in a common container format, which fosters…

  • Validation of fracture data recognition in rock masses by automated plane detection in 3D point clouds

    Digital outcrop models provide a powerful data basis to obtain orientation information on rock masses. Robust and transferrable automatic methods are required to process and analyze these data, as outcrops and hence acquired 3D point clouds are influenced by varying conditions depending e.g., on the site, atmospheric conditions and other factors. A crucial aspect in…

  • Talk on methods and applications for large geospatial point clouds

    On Wednesday, Roderik Lindenbergh from TU Delft (NL) gave an exciting talk on robust geometry extraction in large spatial point clouds in the frame of the IWR colloquium at the Interdisciplinary Center for Scientific Computing. With focus on robust and novel methods of geoinformation extraction from these special datasets, the audience was taken on a…

  • Meet us at AGIT30

    Meet us in Salzburg at the AGIT30 conference and get to know the ohsome platform, that has been introduced recently! Our colleague Fabian Kowatsch will give a talk on Thursday, July 5th: M. Auer, M. Eckle, S. Fendrich, F. Kowatsch, L. Loos, S. Marx, M. Raifert, M. Schott, R. Troilo, A. Zipf. Ohsome – eine…

  • IWR Colloquium on Robust Geometry Extraction in Large Spatial Point Clouds (Prof. Roderik Lindenbergh)

    Everyone interested is cordially invited to the talk of Prof. Roderik Lindenbergh (TU Delft, NL) on Robust geometry extraction in large spatial point clouds in the frame of the IWR Colloquium at the Interdisciplinary Center for Scientific Computing. When: Wednesday, 27th June 2018, 14:15 Where: Conference Room (5th Floor), Mathematikon, INF 205 Before the talk,…

  • Successful PhD Defence by René Westerholt on The Analysis of Spatially Superimposed and Heterogeneous Random Variables Using the Example of Geosocial Media Data

    This week our GIScience Heidelberg team member Rene Westerholt most successfully defended his PhD! Congratulations! Very well deserved! The thesis is located at the interface between spatial analysis methodology and the characteristics of spatially superimposed random variables. Three types of contributions are presented: (i) the interactions of spatial analysis techniques with spatially superimposed random variables…

  • GIScience Group Successful at the AGILE

    The GIScience group attended the AGILE 2018 conference to present about a diversity of topics.  More participants than ever have attended the conference in Lund, Sweden (12–15 June 2018).  They discussed scientific topics related to the general theme of the conference, Geospatial Technologies for All. The following short papers have been presented and been published…

  • Cutting-edge 4D LiDAR research in local newspaper

    This morning, the Rhein-Neckar-Zeitung (RNZ) published an article (in German) about our research on 4D LiDAR for snow cover monitoring. The angle for the article by Doris Burger is the Environmental Research Station Schneefernerhaus near the summit of the Zugspitze, where members of the 3DGeo recently acquired a highly temporal 3D time series dataset of…

  • Colloquium on Classification of 3D Point Clouds using Deep Neural Networks

    We cordially invite everybody interested to our next open GIScience colloquium talk The speaker is Lukas Winiwarter TU Wien, Department of Geodesy and Geoinformation, Research Group Photogrammetry When: Monday 18.06.2018, 2:15 pm Where: INF 348, room 015 (Institute of Geography, Heidelberg University) Classification of 3D Point Clouds using Deep Neural Networks Per-point classification (semantic labeling) is an…

  • HeiGIT/ disastermappers visit at MSF Czech Republic

    HeiGIT/GIScience and disastermappers heidelberg have been in contact and collaborating with MSF CZ  over the last years already and have been supporting their work through joined Mapathons as well as MapSwipe Mapathon support. Last week members of HeiGIT/GIScience and disastermappers heidelberg visited Prague to exchange ideas and experiences and discuss potential ways to take this…

  • Use of multi-objective optimization to assess trade-offs of urban expansion in Switzerland

    One of the many unwanted side effects of urban growth is the loss of fertile soils since most citizens and villages have been founded in close proximity to fertile soils. Preserving high-quality soils however can conflict with the objective of developing compact urban patterns. A team from researches at the GIScience group, the ETH Zürich…

  • Full publication of multitemporal multisensor dataset from an Arctic permafrost research site

    The multisensor datasets acquired in the three field campaigns of the PermaSAR project have recently been published on the Open Access data library PANGAEA: Anders, K., Antonova, S., Beck, I., Boike, J., Höfle, B., Langer, M., Marsh, P., Marx, S., (2018): Multisensor ground-based measurements of the permafrost thaw subsidence in the Trail Valley Creek, NWT,…