Lukas Winiwarter

Lukas Winiwarter
University of British Columbia - Vancouver | UBC · Forest Resources Management

Dr. rer. nat.

About

42
Publications
8,448
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177
Citations
Citations since 2016
41 Research Items
176 Citations
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2016201720182019202020212022020406080

Publications

Publications (42)
Article
Full-text available
This dataset contains unoccupied aerial vehicle (UAV)-based photogrammetric point clouds, orthophotos, UAV-borne laser scanning point clouds, and terrestrial laser scanning point clouds of three nature reserves of the Sandhausen inland dunes in Baden-Württemberg, Germany: Pflege Schönau, Pferdstrieb Süd, and Zugmantel-Bandholz. The three surveyed a...
Article
Full-text available
The software HELIOS++ simulates the laser scanning of a given virtual scene that can be composed of different spatial primitives and 3D meshes with distinct granularity. The high computational cost of this type of simulation software demands efficient computational solutions. Classical solutions based on GPU are not well suited when irregular geome...
Poster
Full-text available
Die Beobachtung dynamischer Oberflächenänderungen in natürlichen Landschaftsszenen ist ein wichtiger Bestandteil von Umweltforschung und -anwendungen (z. B. Monitoring potenzieller Naturgefahren). Szenen können mittels terrestrischem Laserscanning (TLS) von einer fixen Position in zeitlich hoher Auflösung und über lange Zeiträume (z. B. stündlich ü...
Article
Full-text available
Full-waveform (FWF) airborne laser scanning (ALS) data were acquired in southwest Germany in July 2019. We clipped the data to the extent of the 12 forest plots described in the related data publication (https://doi.org/10.1594/PANGAEA.942856), which means that they overlap with the UAV-borne and terrestrial laser scanning data presented in that pu...
Article
Full-text available
Laser scanning from different acquisition platforms enables the collection of 3D point clouds from different perspectives and with varying resolutions. These point clouds allow us to retrieve detailed information on the individual tree and forest structure. We conducted airborne laser scanning (ALS), uncrewed aerial vehicle (UAV)-borne laser scanni...
Conference Paper
Full-text available
The objective of this work is the development of an integrated monitoring service for the identification and evaluation of ground surface and slope movements in the context of coal mining, the prevention of natural hazards and protection of infrastructure. The focus is set on the integration of a long-range terrestrial laser scanner into a continuo...
Article
Full-text available
Point clouds derived from UAV-borne laser scanning and UAV-borne photogrammetry provide new opportunities for 3D topographic monitoring in geographic research. The airborne acquisition strategy overcomes common challenges of ground-based techniques, such as limited spatial coverage or heterogeneous measurement distribution, and allows flexible repe...
Article
Full-text available
Automatic extraction of surface activity from near-continuous 3D time series is essential for geographic monitoring of natural scenes. Recent change analysis methods leverage the temporal domain to improve the detection in time and the spatial delineation of surface changes, which occur with highly variable spatial and temporal properties. 4D objec...
Conference Paper
Full-text available
We analyse surface change by using ULS and DIM point clouds of 2019 and 2021 as input for two state-of-the-art methods for pairwise surface change analysis: (1) The Multiscale Model to Model Cloud Comparison (M3C2) algorithm and (2) a recent M3C2-based approach (CD-PB M3C2) using plane correspondences to reduce the uncertainty of quantified change....
Conference Paper
Full-text available
Near-continuous time series of 3D point clouds capture local landscape dynamics at a large range of spatial and temporal scales. These data can be acquired by permanent terrestrial laser scanning (TLS) or time lapse photogrammetry, and are being used to monitor surface changes in a variety of natural scenes, including snow cover dynamics, rockfalls...
Conference Paper
Full-text available
Virtual Laser Scanning (VLS) provides a remote sensing method to generate 3D point clouds, which can, in certain cases, replace real data acquisition. A prerequisite is a suitable substitute of reality for modelling the 3D scene, the scanning system, the platform, the laser beam transmission, the beam-scene interaction, and the echo detection. The...
Article
Full-text available
Virtual laser scanning (VLS) allows the generation of realistic point cloud data at a fraction of the costs required for real acquisitions. It also allows carrying out experiments that would not be feasible or even impossible in the real world, e.g., due to time constraints or when hardware does not exist. A critical part of a simulation is an adeq...
Article
Full-text available
Laser scanning point clouds of forest stands were acquired in southwest Germany in 2019 and 2020 from different platforms: an aircraft, an uncrewed aerial vehicle (UAV) and a ground-based tripod. The UAV-borne and airborne laser scanning campaigns cover twelve forest plots of approximately 1 ha. The plots are located in mixed central European fores...
Conference Paper
Full-text available
Virtual Laser Scanning (VLS) provides a remote sensing method to generate 3D point clouds, which can, in certain cases, replace real data acquisition. A prerequisite is a suitable substitute of reality for modelling the 3D scene, the scanning system, the platform, the laser beam transmission, the beam-scene interaction, and the echo detection. The...
Conference Paper
Full-text available
Die Open-Source-Software HELIOS++ (Heidelberg LiDAR Operations Simulator, Winiwarter et al. 2022, https://github.com/3dgeo-heidelberg/helios) ermöglicht realitätsnahe Laserscanning-Simulationen unterschiedlicher 3D-Szenen. Anwendungen von virtuellem Laserscanning sind insbesondere Planung und Optimierung der Datenaufnahme, Entwicklung und Evaluieru...
Conference Paper
Full-text available
HELIOS++ (Winiwarter et al. 2022) ist eine Open-Source-Software für die Simulation von Laserscanning, die in C++ implementiert ist. Sie bietet ein gutes Maß an Realismus trotz geringer Laufzeiten und niedriger Anforderungen an die Computerhardware. Die Python-Anbindung pyhelios ermöglicht die Konfiguration und Ausführung von HELIOS++ durch eine wei...
Preprint
Laser scanning from different acquisition platforms enables collecting 3D point clouds from different perspectives and with varying resolutions. Such point clouds allow us to e.g., retrieve information about the forest structure and individual tree properties, or to model individual trees in 3D. We conducted airborne laser scanning (ALS), UAV-borne...
Article
Full-text available
Topographic laser scanning is a remote sensing method to create detailed 3D point cloud representations of the Earth's surface. Since data acquisition is expensive, simulations can complement real data given certain premises are met: (i) models of 3D scene and scanner are available and (ii) modelling of the beam-scene interaction is simplified to a...
Preprint
Full-text available
4D topographic point cloud data contain information on surface change processes and their spatial and temporal characteristics, such as the duration, location, and extent of mass movements, e.g., rockfalls or debris flows. To automatically extract and analyse change and activity patterns from this data, methods considering the spatial and temporal...
Article
Full-text available
Extracting accumulation and erosion from near-continuous 3D observation of a natural scene is an important step in many geoscientific analyses. Change forms are typically detected and quantified via pairwise 3D surface changes. Surface increase or decrease with a duration over multiple acquisitions may not be detected if corresponding changes are s...
Article
The analysis and interpretation of 3D topographic change requires methods that achieve low uncertainties in change quantification. Many recent geoscientific studies that perform point cloud-based topographic change analysis have used the Multiscale Model to Model Cloud Comparison (M3C2) algorithm to consider the associated uncertainty. Change measu...
Article
Full-text available
Virtual laser scanning (VLS), the simulation of laser scanning in a computer environment, is a useful tool for field campaign planning, acquisition optimisation, and development and sensitivity analyses of algorithms in various disciplines including forestry research. One key to meaningful VLS is a suitable 3D representation of the objects of inter...
Article
Full-text available
The analysis of topographic time series is often based on bitemporal change detection and quantification. For 3D point clouds, acquired using laser scanning or photogrammetry, random and systematic noise has to be separated from the signal of surface change by determining the minimum detectable change. To analyse geomorphic change in point cloud da...
Article
Full-text available
Near-continuously acquired terrestrial laser scanning (TLS) data contains valuable information on natural surface dynamics. An important step in geographic analyses is to detect different types of changes that can be observed in a scene. For this, spatiotemporal segmentation is a time series-based method of surface change analysis that removes the...
Conference Paper
LiDAR-based forest inventories focusing on estimating and mapping structure-related forest inventory variables across large areas have reached operationality. In the commonly applied area-based approach, a set of field-measured inventory plots is combined with spatially co-located airborne laserscanning data to train empirical models that can then...
Article
Geographic observation benefits from the increasing availability of time series of 3D geospatial data, which allow analysis of change processes at high temporal detail and over extensive periods. In this context, the demand for advanced methods to detect and extract topographic surface changes from these 4D geospatial data emerges. Changes in natur...
Article
Point clouds continue to be acquired with greater accuracy and less occlusion over complex scenes, characterised by high roughness and topographic variation in all three dimensions. The most widely adopted approach to change detection, M3C2, measures change along the local surface normal, which varies between points and bypasses the uncertainties i...
Article
Full-text available
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 C...
Preprint
Full-text available
Topographic laser scanning is a remote sensing method to create detailed 3D point cloud representations of the Earth's surface. Since data acquisition is expensive, simulations can complement real data given certain premises are available: i) a model of 3D scene and scanner, ii) a model of the beam-scene interaction, simplified to a computationally...
Article
Full-text available
Terrestrial laser scanners are commonly used for remotely sensing natural surfaces into 3D point clouds. Time series of such 3D point clouds can be analysed to gain information of surface changes that are induced by Earth surface shaping processes. The atomic unit in time series analysis is a bitemporal change detection and quantification. This sho...
Conference Paper
Full-text available
Zeitserien von 3D-Punktwolken werden zunehmend für die Beobachtung geomorphologischer Phänomene genutzt. Dieser Beitrag untersucht, wie eine veränderte zeit-liche Auflösung die raumzeitliche Abgrenzung von Oberflächenprozessen beeinflusst. Dazu wird eine Zeitserien-basierte Region Growing Segmentierung verwendet. Die Untersuchung erfolgt am Beispie...
Conference Paper
Full-text available
Aussagen über die Signifikanz von quantifizierten Änderungswerten bei multitemporalen Analysen von 3D-Laserscandaten basieren typischerweise auf statistischen Tests. Um aus Sensor-und Prozessierungsfehlern auf ein lokales "Level of Detection", also eine minimale quantifizierbare Änderung zu schließen, kann das allgemeine Kovarianzfortpflanzungsgese...
Article
Full-text available
Time series of topographic data are becoming increasingly widespread for monitoring geomorphic activity. Dense 3D time series are now obtained by near-continuous terrestrial laser scanning (TLS) installations, which acquire data at high frequency (e.g. hourly) and over long periods. Such datasets contain valuable information on topographic evolutio...
Article
Deep learning, referring to artificial neural networks with multiple layers, is widely used for classification tasks in many disciplines including computer vision. The most popular type is the Convolutional Neural Network (CNN), commonly applied to 2D image data. However, CNNs are difficult to adapt to irregular data like point clouds. PointNet, on...
Conference Paper
Full-text available
3D point clouds acquired by laser scanning and other techniques are difficult to interpret because of their irregular structure. To make sense of this data and to allow for the derivation of useful information, a segmentation of the points in groups, units, or classes fit for the specific use case is required. In this paper, we present a non-end-to...
Poster
Full-text available
Submission to the 2019 Karl-Kraus-Nachwuchsförderpreis based on the Diploma Thesis carried out at TU Wien, 2018.
Conference Paper
Das Primärprodukt von Airborne Laser Scanning (ALS), eingesetzt für die Erfassung der Topographie, ist eine dichte, unklassifizierte 3D Punktwolke. Für die Ableitung nutzbarer Produkte ist daher eine Einteilung der Punkte in Klassen, Gruppen oder Segmente erforder-lich. Für eine semantische Klassifizierung muss die Information, die inhärent in der...
Conference Paper
In this paper we report on a flight experiment employing airborne laser bathymetry (ALB) and unmanned aerial vehicle (UAV) based laser scanning (ULS) for capturing very high resolution topography of shallow water areas and the surrounding littoral zone at the pre-alpine Pielach River in Austria. The aim of the research is to assess how information...

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Projects

Projects (8)
Project
Investigating the influence of vegetation dynamics (e.g., movement caused by winds) on forest inventory metrics derived from airborne laser scanning data
Project
Project website: www.uni-heidelberg.de/virtualearn3d The main aim of this project is to advance the concept of virtual laser scanning to tackle the lack of training data to enable powerful machine learning algorithms for geographic point cloud analysis. This proposed methodological step will push large-scale usage of VLS simulations for machine learning and opens up completely new fields of applications. Related project: https://www.researchgate.net/project/HELIOS-Heidelberg-LiDAR-Operations-Simulator The project is funded by Deutsche Forschungsgemeinschaft (DFG, German Research Foundation). Project number: 496418931.
Project
Website: https://www.uni-heidelberg.de/4dobc Geographic observation benefits from the increasing availability of time series of 3D geospatial data, which allow analysis of change processes at high temporal detail and over extensive periods. Time series-based change analysis can integrate the history of surface change by performing spatiotemporal segmentation with the concept of 4D objects-by-change (4D-OBC).