News of Heidelberg University’s GIScience Research Group.
Posted in 3D, Lidar Group, Publications, Research on Apr 28th, 2022
A new data article on “A high-resolution 4D terrestrial laser scan dataset of the Kijkduin beach-dune system, The Netherlands” was just published in Scientific Data. Along with the fully openly available dataset, the article presents insights into the importance of frequent and spatially detailed surface measurements - and what to do with them.
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Posted in 3D, Lidar Group, Publications, Research on Mar 8th, 2022
In recently published work, we show how change analysis from near-continuous 3D time series improves by considering full temporal information. How can it be done? Using 4D objects-by-change!
The method was applied to an hourly time series of terrestrial laser scans acquired for snow cover monitoring. In the snow-covered scene at the Zugspitze ski resort, all [...]
Working with OpenStreetMap data is an exciting topic that often reveals astonishing insights. The free and open nature of the project allows a plethora of analyses topics. We at HeiGIT often concentrate on global quantitative analyses and visualisations powered by the ohsome framework. But our tools also enable you to gain more detailed, multifaceted or [...]
Posted in Uncategorized on Jan 4th, 2022
Du willst Deine Management- und Forschungsexpertise zum Wohle der Gesellschaft und Umwelt einsetzen? Du willst HeiGIT dabei unterstützen die Verfügbarkeit und Qualität von Geodaten zu verbessern und Geoinformatik-Methoden weiterzuentwickeln, die für offene, gemeinnützige Anwendungen im Bereich Nachhaltigkeit, Mobilität und humanitäre Hilfe eingesetzt werden? Das ist unsere Mission!
Die HeiGIT gGmbH ist ein forschungsorientiertes, gemeinnütziges Start-up mit [...]
Posted in Jobs on Jan 3rd, 2022
Job advertisement HeiGIT gGmbH
Do you want to use your machine learning expertise for the benefit of society and the environment? Do you want to improve the availability and quality of geospatial data and further develop geoinformatics methods used for open, non-profit applications in the field of sustainability, mobility and humanitarian aid? That’s our mission too!
HeiGIT [...]
Posted in 3D, Lidar Group, Publications, Research on Aug 23rd, 2021
In the SYSSIFOSS project, we are investigating how we can take advantage of virtual laser scanning (VLS), the simulation of laser scanning in a computer environment, in forestry applications. These applications include survey planning and optimization, sensitivity analyses, and algorithm development. For example, VLS may be used to investigate the influence of different sensor and [...]
Posted in 3D, Lidar Group, Publications, Research on Jul 29th, 2021
Our forest laser scanning dataset collected in the frame of the SYSSIFOSS project is now openly available through the PANGAEA Data Publisher:
Weiser, H., Schäfer, J., Winiwarter, L., et al. (2021): Terrestrial, UAV-borne and airborne laser scanning point clouds of central European forest plots, Germany, with extracted individual trees and manual forest inventory measurements. PANGAEA, https://doi.org/10.1594/PANGAEA.933426
Until [...]
Posted in 3D, Lidar Group, Research, Software on Mar 3rd, 2021
On 1st March 2021, the Swiss Federal Office of Topography (SwissTopo) released all official geodata according to the principles of “Open Government Data (OGD)”. With this step, Swisstopo is making large volumes of high quality geodata freely accessible. We are most excited about the 3D data, which includes digital surface models, digital terrain models and [...]
The open, flexible and collaborative nature as well as the benefits and advantages of OpenStreetMap (OSM) lead to the creation of a whole new ecosystem evolving around the project. They range from local and global communities of data and software developers to a large amount of tools and services like disaster [...]
Posted in Crowd Analyser, OSM, Publications, Research, VGI Group on Jun 8th, 2020
Accurate and detailed geographical information digitizing human activity patterns plays an essential role in response to natural disasters. Volunteered geographical information, in particular OpenStreetMap (OSM), shows great potential in providing the knowledge of human settlements to support humanitarian aid, while often the availability and quality of OSM remains a major concern. The majority of existing [...]