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Tag Archive '3DGEO'

How do the dynamics of surface change on a rock glacier look like over an entire summer season?
And how is rockfall activity and storage and talus supply from the headwall of a rock glacier related to patterns of its movement?

These and other questions are currently investigated within the AHK-4D and Geomorph4D projects of the 3DGeo [...]

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From 22 - 25 June, the first field visit within the project AHK-4D - High-resolution and high-frequency monitoring of the rock glacier Äußeres Hochebenkar (AHK) in Austria took place in the Austrian Alps.
The aim of this project is to develop a methodology to quantify the magnitudes and frequencies of individual surface change processes of a [...]

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A new paper on tree height estimation from TanDEM-X data has just been published in Remote Sensing of Environment. The article finds that tree height can be predicted using TanDEM-X metrics (backscatter, bistatic coherence, and interferometric height) in the sparse forest patches of the Arctic treeline zone at the transition from forest to tundra. Taking [...]

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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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A paper investigating the relevance of (pre-calculated) features for 3D point cloud classification using deep learning was just published in the ISPRS Annals of Photogrammetry and Remote Sensing.
The study presents a non-end-to-end deep learning classifier for 3D point clouds using multiple sets of input features and compares it with an implementation of the state-of-the-art [...]

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The Heidelberg LiDAR Operations Simulator (HELIOS) is an open source laser scanning simulation framework for interactive simulation and visualization of terrestrial, mobile and airborne laser scanning surveys. It can be flexibly used for teaching and training of laser scanning, development of new scanner hardware and scanning methods, or generation of artificial scan data [...]

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From 01-04 April 2019, the 3DGeo and FCGL research groups organized STAP19, a compact course and workshop on Spatial and Temporal Analysis of Geographic Phenomena at the Interdisciplinary Center for Scientific Computing (IWR, Heidelberg University).

In a mix of lectures, invited talks and hands-on sessions, the participants learned about processing and analysis of 3D geodata, particularly [...]

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Brand new 3DGeo logo!

The 3DGeo research group has now a brand new 3DGeo logo! The logo is one result of our recent retreat to Lochau.
And here it is:

The creative “o” represents the process from raw 3D data via various data models to real-world phenomena - or vice versa. Isn’t that cool?
Check out the logo on [...]

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A 16-year record (2002–2017) of permafrost, active-layer, and meteorological conditions at the Samoylov Island Arctic permafrost research site, Lena River delta, northern Siberia was just published in Earth System Science Data. The long-term observational data is complemented by high-resolution topographic data acquired by terrestrial laser scanning (TLS) in 2017, when the 3DGeo Research Group joined [...]

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