Hannah WeiserUniversität Heidelberg · 3DGeo Research Group; Institute of Geography
Hannah Weiser
Bachelor of Science
About
24
Publications
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22
Citations
Introduction
Skills and Expertise
Education
October 2016 - April 2020
Publications
Publications (24)
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...
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...
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...
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...
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...
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...
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...
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...
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...
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...
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...
Updated list of references, three new resources which were used to update the distribution map, are marked in yellow.
This is an updated version of the animated gif distribution map of Isodontia mexicana, including data up to September 2019.
Raw data for the animated gif distribution map, including records up to September 2019. Sources include publications (books, journal articles) as well as various internet sources (including www.naturgucker.de).
Updated list of references, two new resources which were used to update the distribution map, are marked in yellow.
Abstract. Since its fortuitous arrival in the south of France,
the Sphecid wasp Isodontia mexicana (Saussure, 1867) has
spread through much of central Europe. In the last 20 years it
has penetrated southern Germany and is spreading northwestwards
down the Rhine Valley to colonise Belgium and
Holland. In 2016 it was reported for the first time in En...
Projects
Projects (5)
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.
The grass carrying wasp Isodontia mexicana is an invasive species originating from North America. Since the early 1960ies, it spreads from its aea of first appearance in southern France. Probably also due to climate change related factors, the pace of expansion seems to accelerate in the recent years.
