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Tag Archive '3D time series'

Within the AHK-4D project, we continually monitor topographic change at the alpine rock glacier Äußeres Hochebenkar in Austria. Based on multitemporal and multi-source 3D point clouds at up to two-week acquisition intervals, we are developing methods to quantify the magnitudes and frequencies of individual processes of topographic change over varying timescales.
This year, we have also [...]

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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 part [...]

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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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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 fruitful ongoing [...]

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How can multiple processes related to the deformation of an active rock glacier operating over different timescales be separated from each other?
A preprint on the disaggregation of surface change mechanisms of a rock glacier has recently been published on Earth Surface Dynamics Discussions, an interactive open access journal of the European Geosciences Union. It [...]

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How can surface change processes be detected and delineated in large time series of 3D point clouds? A paper on the extraction of 4D objects-by-change has just been published in the ISPRS Journal of Photogrammetry and Remote Sensing. It presents an automatic method for 4D change analysis that includes the temporal domain by using [...]

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This week, the 3DGeo participated in the ISPRS Geospatial Week 2019 with two presentations among the sessions of the Laser Scanning Workshop with many interesting talks and poster.
Presentations were given by Ashutosh Kumar in the Machine Learning Session and Katharina Anders in the Change Detection Session.
Highlight: The work by Ashutosh Kumar on feature relevance in [...]

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Can you imagine how much sand is being moved on the beach in the course of a week? Did you ever observe truckloads of sand being transported on the beach in the absence of storms and bulldozers? It is hardly possible to estimate to the naked eye, but can be quantified with permanent terrestrial laser [...]

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How does a sandy beach naturally restore after a storm event? Invaluable information on this process is provided by a highly temporal (hourly) time series of 3D point cloud data acquired over several months at the beach of Kijkduin (NL). The permanent LiDAR system is operated by a team of TU Delft researchers in the [...]

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… by acquiring data only when and where changes occur.
In this project on Autonomous 3D Earth Observation of Dynamic Landscapes (Auto3Dscapes), a novel strategy of permanent 3D observation will be developed incorporating observed topographic changes as feedback and dynamically adapting the acquisition parameters and analysis methods.
Permanent 3D Earth observation is currently challenged by the strong [...]

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