Category: Publications
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A Web App to generate and disseminate knowledge on urban green space qualities and their accessibility
Urban green spaces (UGSs) can provide important ecosystem services for citizens and their well-being. To make use of these services according to UGS user demands, urban residents, tourists, and city administrations should know where UGSs are located, what qualities they have and how to reach them on convenient routes. A new open access paper at…
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New paper: Opaque voxel-based tree models for virtual laser scanning in forestry applications
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…
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Analysing the Impact of Large Data Imports in OpenStreetMap
OpenStreetMap (OSM) is a global mapping project which generates free geographical information through a community of volunteers. OSM is used in a variety of applications and for research purposes. However, it is also possible to import external data sets to OpenStreetMap. The opinions about these data imports are divergent among researchers and contributors, and the…
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The role of data in transformations to sustainability: a critical research agenda
A recently published article in ‘Current Opinion in Environmental Sustainability‘ investigates the role of digital technologies and data innovations, such as big data and citizen-generated data, to enable transformations to sustainability. We reviewed recent literature in this area and identified that the most prevailing assumption of work is related to the capacity of data to…
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Open laser scanning data of trees – SYSSIFOSS project
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,…
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Time Series-Based Coastal Surface Change Analysis @ISPRS2021
Our work on “Time Series-Based Coastal Surface Change Analysis using Hourly Terrestrial Laser Scans” was featured with a live presentation at this year’s digital event of the ISPRS Congress. The presentation by Katharina Anders was further made available as pre-recorded video, which you can now watch on the 3DGeo YouTube channel: The presented work is…
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New paper on OSM feature completeness modelling accepted for AGIT symposium
The availability of data on public transport is a prerequisite for numerous spatial data applications such as routing, accessibility analyses or route planning. OpenStreetMap (OSM) – as a global platform for Volunteered Geographic Information – is one of the options for sharing public transport data. The data completeness on OSM, however, is characterized by heterogeneity. Results…
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M3C2-EP: Pushing the limits of 3D topographic point cloud change detection by error propagation
In our efforts to improve change detection and quantification in time series of 3D point clouds, we have published yet another milestone. Our paper, titled M3C2-EP: Pushing the limits of 3D topographic point cloud change detection by error propagation, presents a novel method to better separate noise from actual change in point clouds sensed with…
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OSM data quality analysis for different stages of the mapping process
Slums are an important operational area for humanitarian organisations: Because of provisional housing, poor sanitation and difficult socio-political circumstances offers of help from such organisations are important and often necessary. For such deployments, humanitarian actors rely heavily on Volunteered Geographic Information (VGI), as official maps and data are often incomplete. This makes it all the…
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AGILE best short paper award nominees
We are happy to announce that two of our papers have been shortlisted as candidates for the best short paper award at the AGILE 2021 conference : Detecting OpenStreetMap missing buildings by transferring pre-trained deep neural networks Jan Pisl, Hao Li, Sven Lautenbach, Benjamin Herfort, and Alexander Zipf. AGILE GIScience Ser., 2, 39, https://doi.org/10.5194/agile-giss-2-39-2021, 2021 Assessing shop completeness…
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GIScience and HeiGIT contributions to AGILE 2021 conference
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…
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Detecting OpenStreetMap missing buildings by transferring pre-trained deep neural networks
Recently, a new research paper “Detecting OpenStreetMap missing buildings by transferring pre-trained deep neural networks” (Pisl, J., Li, H., Herfort, B., Lautenbach, S., Zipf, A. 2021) has been accepted at the the 24th AGILE conference 2021. The conference will take place virually on June 8 to 11, 2021. Accurate and complete geographic data of human…