Category: Research
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Analysis of Humanitarian OSM Stats: User activity through HOT-TM and contributing organizations
Introduction In this blogpost we are taking a look at humanitarian mapping through the Tasking Manager (HOT-TM) that is operated by the Humanitarian OpenStreetMap Team (HOT). At HeiGIT we work together with HOT to provide analyses and statistics to further understand mapping activity. Explore the user and mapping stats of all Tasking Manager activites here. Check our blog posts about topics…
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New paper on the potential of simulated laser scanning and field data to train forest biomass models
In great collaboration with colleagues from Karlsruhe (DE), Vienna (AT), Brno (CZ), Leipzig (DE), Raszyn (PL), and Berlin (DE), we published a paper investigating approaches to improve LiDAR-based biomass models when only limited sample plots with field data are available. The main work was carried out by PhD student Jannika Schäfer (IFGG, Karlsruhe Institute of…
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DFG Software Grant
Successful proposal: Fostering a community-driven and sustainable HELIOS++ scientific software The 3DGeo Group and the Scientific Software Center (SSC) of Heidelberg University have been successful with their proposal in the DFG call “Research Software – Quality assured and re-usable”, together with two other project proposals at Heidelberg University (see press release). The main objective of…
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Exploring the Value of Microsoft ML Roads for OSM Data Quality Analysis
The completeness of the OpenStreetMap (OSM) road network has been an ongoing focus for researchers for more than 15 years. For instance, Neis et al. (2011) investigated the OSM street network evolution in Germany and compared it against road data from TomTom. Whereas obtaining reference data has been rather difficult in the past, nowadays we…
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🦇 Halloween release of HELIOS++, v1.3.0
We proudly present our Halloween release of HELIOS++, Version 1.3.0: https://github.com/3dgeo-heidelberg/helios/releases What’s new in this release? HELIOS++ now supports LiDAR simulation of dynamic scenes. We can now simulate laser scanning of scenes that change during the simulation. This is done by introducing rigid motions, which are defined with XML syntax in the scene XML file.…
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Analyzing Bikeability
For various reasons biking is becoming a more frequently used mode of transportation. It offers flexibility, is quite cheap compared to other modes of transportation, helps with fitness and is almost carbon neutral. To evaluate how well adapted the existing infrastructure is to accommodate biking, Manuel Kraft of HeiGIT created the “Bikeability-Index”. Analyzing Bikeability There…
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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…