Tag: 3DGEO
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Fully automatic spatiotemporal segmentation of 3D LiDAR time series for the extraction of natural surface changes
When and where do changes occur in dynamic natural landscapes? A new method has been published that enables the automatic extraction of surface changes from entire time series of 3D point clouds. The developed method of spatiotemporal segmentation extracts changes regarding their surface change history, which makes it particularly useful for natural scenes that are…
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HELIOS++ 1.0.0 Software & Preprint Release
The 3DGeo Research Group is proud to announce the release of their novel ray-tracing based laser scanning simulator HELIOS++! HELIOS++ is a general-purpose simulation software for virtual laser scanning data acquisition. Such data can be used to complement real data in many use cases. Some examples include the generation of training data for machine learning,…
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4D change analysis for improving our understanding of dynamic landscapes
Time series of topographic point clouds offer great possibilities to advance our understanding of dynamic landscapes. To exploit the full information these 4D datasets contain on spatial and temporal properties of natural surface changes, the 3DGeo research group is developing methods for 4D change analysis. These methods are required to answer fundamental questions on the…
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Auto3Dscapes video about research in 4D change analysis
This new video by the 3DGeo group presents the challenges of 3D Earth observation and our advances in 4D change analysis in the frame of the Auto3Dscapes project: Direct link to the video: https://youtu.be/Fdwq-Cp0mFY Many thanks to Claudia Denis and David Jäger for helping to realize the video! We are also very happy about the…
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Use of TanDEM-X and Sentinel products to derive gully activity maps in Kunene Region (Namibia) based on automatic iterative Random Forest approach
Gullies are landforms with specific patterns of shape, topography, hydrology, vegetation, and soil characteristics. Remote sensing products (TanDEM-X, Sentinel-1 and Sentinel-2) serve as inputs into an iterative algorithm, initialized using a micro-mapping simulation as training data, to map gullies in the northwestern of Namibia. A Random Forest Classifier examines pixels with similar characteristics in a…
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Digital Teaching Award featured in Magazine of Heidelberg University
The digital teaching prize by Heidelberg University that was awarded to two members of our institute is featured in a current special edition of the university’s magazine UNISPIEGEL: Find the full article on “Adjustment to digital formats” (translation by the author) on page 2 of the magazine here (in German). Information on the awardees Dr.…
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LOKI – Video on UAV-based damage assessment combining automated methods with Micro-Mapping
Interested in how earthquake-induced damage to critical infrastructures is assessed in the research project LOKI? Then check out this teaser below! Link to video In the LOKI project (Luftgestützte Observation Kritischer Infrastrukturen; Airborne Assessment of Critical Infrastructures), an interdisciplinary system that enables fast and reliable airborne situation assessments following an earthquake is being developed by…
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Digital teaching prize awarded by Heidelberg University
In recognition of the high efforts of lecturers in the past summer semester, the rectorate of Heidelberg University awarded prizes for digital teaching. Two of in total six prizes were awarded to lecturers at the Institute of Geography, which shows the positive recognition of the past semester’s endeavors both from the side of students and…
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E-TRAINEE project: E-learning course on Time Series Analysis in Remote Sensing
The E-TRAINEE project is a new collaboration project for developing an “E-learning course on Time Series Analysis in Remote Sensing for Understanding Human-Environment Interactions” with Markéta Potůčková (Department of Applied Geoinformatics and Cartography, Charles University Prague) as PI of the project and Heidelberg University, University of Innsbruck and University of Warsaw as project partners. The…
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OSM completeness mapping for airborne situation assessment following an earthquake
As part of the LOKI project (Luftgestützte Observation Kritischer Infrastrukturen), a first test run of a newly launched OpenStreetMap (OSM) completeness mapping project in MapSwipe has been conducted yesterday. The aim of the LOKI project is to develop an interdisciplinary system that enables fast and reliable airborne situation assessments following an earthquake. The system will…
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SYSSIFOSS project video on the potential of synthetic LiDAR data in forestry applications
Do you want to find out about the potential of simulating LiDAR data over synthetic forest stands and the steps to get there? Get to know the SYSSIFOSS research project in the video below! Link to video In SYSSIFOSS we are using 3D LiDAR forest data to create a database of diverse model trees (different…
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Training in Innovative Technologies for Close-range Sensing in Alpine Terrain – 3rd Edition
The 3rd edition of the international summer school “Close-range Sensing Techniques in Alpine terrain” took place in Obergurgl, Austria, in June 2019. A group of 40 young researchers (mainly PhD students) participated to learn about various sensors, processing techniques, and analysis methods for different topics in high-mountain research. A recently published article reports on results…