Category: Publications
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Open land cover from OpenStreetMap and remote sensing
In a recently published study (1), we produced a web based land use land cover (LULC) product based on OSM tags which are constantly updated by contributors/volunteers, and present a Remote Sensing based solution when tags were absent for a test site. We harness the combined benefit of an open source and ever-growing machine generated…
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GIScience group members at the ISPRS Geospatial Week 2017 in Wuhan, China
Last week (Sept. 18-22, 2017), our six colleagues, Prof. Alexander Zipf, Doctoral Candidate Xuke Hu, Dr. Hongchao Fan, Dr. Martin Hämmerle, Dr. Zhiyong Wang, and Dr. Wei Huang, participated in the ISPRS Geospatial Week 2017 held in Wuhan, China. In the opening ceremony on Sept. 18, 2017, the U.V. Helava Award was presented to Dr.…
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Call for Papers on “Urban Geoinformatics”
We are currently guest-editing a special issue on “urban geoinformatics” in the Taylor & Francis journal “Geo-Spatial Information Science”. On this occasion, we’d like to encourage you to submit your crowdsourcing-related work emphasizing urban issues: Title: Crowdsourcing for Urban Geoinformatics Deadline: 30 October 2017 Guest editors: Hongchao Fan, Wuhan University, (hongchao.fan@whu.edu.cn) João Porto de Albuquerque,…
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Study “Multiscale analysis and reduction measures of urban carbon dioxide budget based on building energy consumption” published
The 3D spatial data processing group had the opportunity to collaborate with the team of Prof. Tzu-Ping Lin from National Cheng Kung University, Tainan, Taiwan, within the frame of a study dealing with carbon emission reduction measures in urban environments. One option of reducing carbon emission by buildings is to install photovoltaic (PV) panels in…
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Determination of building inundation depths based on user-generated flood images – new study published
In our recently published study “Direct local building inundation depth determination in 3-D point clouds from user-generated flood images” we present a new approach for deriving local building inundation depth from ordinary user-generated flood images captured during a flood event. After reconstructing a 3-D scene of the building of interest with close-range photogrammetry (CRP) algorithms,…
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3D bathymetry measurements in shallow-water environments with a low-cost sensor – study published
To take bathymetric measurements in areas with shallow water is very challenging for methods such as SONAR or bathymetric LiDAR. In our study “Assessing the Potential of a Low-Cost 3-D Sensor in Shallow-Water Bathymetry”, we examine the performance of a low-cost 3D camera when capturing bathymetry in waters up to 0.4 m depth. The tested…
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Overview Article on Online Participation in Geoinformation Technology, esp. OpenStreetMap
An invited introductive overview article on “Online Participation in Geoinformation Technology” with a specific focus on OpenStreetMap has been published in the special issue “Online Participation” of the German language journal “Praxis der Wirtschaftsinformatik”. It gives some introduction and selected examples of potential usages of OSM data. Griesbaum, L., Eckle, M., Herfort, B., Raifer, M.,…
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GIScience @ ISCRAM 2017
The last couple of days, the picturesque city of Albi in southern France became the gathering place of researchers, practitioners and organizations in the field of information systems for crisis response and management. Following the ISCRAM conference theme “Agility is coming” presentations, round tables, workshops, symposiums and keynotes were organized in which the current and…
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Last Call for Papers on VGI-ANALYTICS – Special Issue in Geo-Spatial Information Science
Geo-spatial Information Science Special Issue Call for Papers on Volunteered Geographic Information (VGI)-Analytics Deadline: 9 June 2017 Geo-spatial Information Science (GSIS) invites you to submit your paper to this forthcoming special issue on: Volunteered Geographic Information (VGI)-Analytics. Aims and Scope Volunteered Geographic Information (VGI) and social media data have become part of our everyday…