Category: Research
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Today is the International Day for Disaster Risk Reduction!
Did you know that October 13th is the International Day for Disaster Risk Reduction (IDDRR)? Since 1989, the United Nations Office for Disaster Risk Reduction promotes a global culture of risk-awareness and disaster reduction on this day and encourages the community to share their events, promotions and ideas regarding disaster risk reduction. Under this year’s…
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Kick-off: AImon5.0 – Real-time monitoring of gravitational mass movements for critical infrastructure risk management with AI-assisted 3D metrology
In September 2023, our new research project AImon5.0 has been kicked-off. In this project the open-source frameworks HELIOS++ and py4dgeo of the 3DGeo research group will be combined to enhance current approaches for operational risk monitoring. AImon5.0 is an interdisciplinary collaboration project of the 3DGeo research group with DMT GmbH & Co. KG (project leader),…
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Impressions from Silvilaser 2023
Last week, our PhD student, Hannah Weiser, joined Silvilaser 2023 at University College London (UCL). The conference covers cutting-edge science and technology from the laser scanning and forest communities, which is a perfect match for Hannah’s PhD topic and 3DGeo research in general. The week started off with interesting workshops on Tuesday using some of…
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Version 1.0 of the ohsome quality API and ohsome dashboard
At HeiGIT and in particular within the ohsome team, we strive to provide valuable insights into OpenStreetMap (OSM) data. The ohsome API offers aggregated statistics on the evolution of OSM elements since 2020. These are made easily accessible by the ohsome dashboard. With the ohsome quality API, previously called ohsome quality analyst (OQT), we continue…
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Bachelor’s thesis: Using OSM for location analyses of residential real estate projects – an extrinsic analysis of data quality
In his bachelor’s thesis, supervised by HeiGIT’s apl. Prof. Dr. Sven Lautenbach, Lars Reckhaus examined the suitability of OpenStreetMap (OSM) for location analyses in the context of residential real estate projects. Typically, such analyses require the use of a variety of data sources and are mostly performed manually. For this reason, they tend to be…
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Introducing ohsomeNow stats: Real-Time Monitoring for OpenStreetMap Contributions
You can now monitor contributions to OpenStreetMap (OSM) in real time with ohsomeNow stats! We developed this new dashboard as part of our long-term cooperation with the Humanitarian OpenStreetMap Team (HOT), an international organization dedicated to humanitarian action and community development through open mapping. This dashboard replaces the Missing Maps Leaderboard with a comprehensive overview of…
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Research Visit at Universidade Federal Fluminese (UFF) in Rio de Janeiro
In context of his research on mosquito monitoring and inner-urban dengue occurence, PhD student and GIScience team member Steffen Knoblauch visited the “Universidade Federal Fluminese” (UFF) in Niterói, State of Rio de Janeiro, Brazil. He was invited to meet collaborators and professors of UFF and to present his work in “Dengue Risk Modelling at an Urban…
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Advancing Geospatial Techniques for Vector-Borne Disease Research: Insights from GIScience-CSIAD Collaboration – a conference recap
Recently, Hanse-Wirtschaftskolleg hosted its meeting which brought together experts from GIScience and CSIAD lab, along with renowned researchers from universities in Germany, Thailand, and Ghana, serving as a platform for interdisciplinary collaboration on vector-borne diseases. This event brought together esteemed researchers to share their expertise and insights into combating mosquito-borne illnesses. As an invited speaker,…
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Integration of OQT into the ohsome dashboard: Computing data quality metrics for OpenStreetMap
The ohsome dashboard has been and continues to be an easy access point to generate accurate statistics about the historical development of OpenStreetMap data for arbitrary regions. Now, the ohsome dashboard got extended to be able to compute data quality metrics for OpenStreetMap through the ohsome quality analyst (OQT) which is also developed by HeiGIT. The source code is now…
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OSM Element Vectorisation Tool Version 1
The IDEAL-VGI research project is nearing its end. And while that won’t be the end of our research into social data sources, data quality analyses and land-use information, we are happy to announce a major outcome: the version 1 release of the OSM Element Vectorisation Tool (OEV). The tool was first presented to the public…
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Final meeting of the E-TRAINEE project
Last week, the 3DGeo research group hosted the final meeting of the E-TRAINEE project, finally and for the first time in presence. For almost three years now, we have been developing a research-oriented open-source e-learning course – soon to be published! The course on “Time Series Analysis in Remote Sensing for Understanding Human-Environment Interactions” teaches…
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2022 #30DayMapChallenge Round-Up Part 2: Deleted Maps
Featured photo: The deleted map displays all deleted elements within the analyzed areas (red). Gray rectangles represent deleted buildings. This past November, our teams at HeiGIT and GIScience participated in Topi Tjukanov’s Twitter event #30DayMapChallenge, where mappers display their creativity and ingenuity with a set of 30 daily prompts ranging from colors to specific datasets…