Tag: airborne laser scanning
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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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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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AGEO Award 2019 at AGIT in Salzburg: Third place for Lukas Winiwarter
3DGeo group member Lukas Winiwarter was awarded the third place of this year’s AGEO award at the AGIT2019 in Salzburg for his diploma thesis on “Classification of 3D Point Clouds using Deep Neural Networks”. It was carried out at TU Wien under the supervision of Dr. Gottfried Mandlburger and Prof. Dr. Norbert Pfeifer, and has…
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Estimating tree height from TanDEM-X data at the northwestern Canadian treeline
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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Colloquium on Classification of 3D Point Clouds using Deep Neural Networks
We cordially invite everybody interested to our next open GIScience colloquium talk The speaker is Lukas Winiwarter TU Wien, Department of Geodesy and Geoinformation, Research Group Photogrammetry When: Monday 18.06.2018, 2:15 pm Where: INF 348, room 015 (Institute of Geography, Heidelberg University) Classification of 3D Point Clouds using Deep Neural Networks Per-point classification (semantic labeling) is an…