GIScience Logo
HeiGIT Logo
3DGeo Logo

GIScience Blog

Tag: 3D

  • Teaching geodata acquisition in and around Heidelberg

    As part of the lecture “Geodatenerfassung”, geography students in their first semester turned theory of digital geodata acquisition into practice. Based on their aims and requirements, the students acquired geodata with different methods and sensors. Using a high-end Riegl VZ-2000i terrestrial laser scanner, two groups captured the old town of Heidelberg and a limestone quarry…

  • Visualizing 3D Spatial Data with GigaMesh – Tutorial Videos

    A series of video tutorials of GigaMesh has recently become available on YouTube. GigaMesh is a software framework for displaying, processing and visualizing large meshes of 3D spatial data representing 2D surfaces. The most recent tutorial by Paul Bayer and Hubert Mara presents a rapid method of hillshading for a geospatial dataset. The video shows…

  • ER3DS Makes Cities Smarter

    ER3DS makes cities smarter by emission reduction using 3D spatial sensing and analysis In the new project on Emission Reduction in Smart Cities Using 3D Spatial Sensing and Analysis (ER3DS) the combination of energy modeling, highly detailed 3D geographic sensing and computation will allow us to reveal a completely new picture of the current energy…

  • Sweet 3D archaeology – Jupiter Column made of chocolate

    The Jupiter Column (“Jupitergigantensäule”) is now available as miniature made of chocolate! The very well-preserved Jupiter Column from the antique LOPODUNUM belongs to the most important archaeological exhibits of the Lobdengau museum. The Jupiter Column is a representative object important for the rich cultural history of Ladenburg, a town with an impressive Roman history. Three…

  • Simulate LiDAR Acquisitions with HELIOS

    Did you ever consider planning and testing your LiDAR campaign in a computer simulation? Would you like a flexible means to generate 3D point cloud data for developing or testing methods? This is easily possible with the laser scanning simulation framework HELIOS (Heidelberg LiDAR Operations Simulator). There have been major new developments since the first…

  • Over 50 Open Source GIScience Repositories on GitHub

    The GIScience Research Group at Heidelberg University and the Heidelberg Institute for Geoinformation Technology (HeiGIT) are happy to share the their GIScience github repository contains now already over 50 open source repositories and it’s still growing. These contain results from several research projects and in particular also some very active long term activities. Most of the tools…

  • Live from the Ötztal Alps (#2): Exploring high mountain 3D geoinformation

    Today was the second day of field work in the Rotmoos valley in the Ötztal Alps for our 16 students. The hot sun challenged the data acquisition but the impressive landscape makes up for every effort. The terrestrial laser scanning group climbed up the valley flanks to acquire a high resolution point cloud from an…

  • Live from the Ötztal Alps (#1): Exploring high mountain 3D geoinformation

    As part of the practical field training “3D Geodatenerfassung im Hochgebirge (Ötztal)”, 29 July – 04 August, 16 students explore pyhsical geography in an impressive high-mountain environment in the Ötztal valley, Austria. With the help of terrestrial LiDAR, RTK GNSS, close range photogrammetry and electrical resistivity tomography (ERT), multi-source datasets will be captured for the…

  • 3D WebGIS: From Visualization to Analysis. An Efficient Browser-Based 3D Line-of-Sight Analysis

    3D WebGIS systems have been mentioned in the literature almost since the beginning of the graphical web era in the late 1990s. The potential use of 3D WebGIS is linked to a wide range of scientific and application domains, such as planning, controlling, tracking or simulation in crisis management, military mission planning, urban information systems,…

  • Follow-up to study with mobile low-cost 3D camera crop height measurements

    The study “Mobile low-cost 3D camera maize crop height measurements under field conditions” (see the respective blog entry) is now available also as print version: The updated citation is: Hämmerle, M. & Höfle, B. (2018): Mobile low-cost 3D camera maize crop height measurements under field conditions. Precision Agriculture 19(4), pp. 630-647. doi: 10.1007/s11119-017-9544-3.

  • 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…