Hannah Weiser

Heidelberg University — Germany

Environmental Science · Physical Sciences

8h-index349citations40works2.12yr avg
OpenAlex↗ORCID↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Remote Sensing and LiDAR Applications(32), Forest ecology and management(18), Forest Ecology and Biodiversity Studies(14), 3D Surveying and Cultural Heritage(10), Remote Sensing in Agriculture(5)

Publications39 total

Advancing vegetation monitoring with virtual laser scanning of dynamic scenes ( <scp>VLS</scp> ‐ <scp>4D</scp> ): Opportunities, implementations and future perspectives
Methods in Ecology and Evolution·2025Open Access
Comment on essd-2025-67
2025Open Access
Insights from the Unseen - Occlusion in Forest Laser Scanning
2025Open Access
Author response for "Advancing vegetation monitoring with virtual laser scanning of dynamic scenes (VLS-4D): Opportunities, implementations and future perspectives"
2025
Temporal aggregation of point clouds improves permanent laser scanning of landslides in forested areas
Science of Remote Sensing·2025· 2 citedOpen Access
Wind during terrestrial laser scanning of trees: Simulation-based assessment of effects on point cloud features and leaf-wood classification
ISPRS annals of the photogrammetry, remote sensing and spatial information sciences·2025Open Access
Linking small- and large-scale Digital Twins: A concept&amp;#160;
2025Open Access
Virtual Laser Scanning of Dynamic Scenes (VLS-4D): A Novel Opportunity for Advancing 3D Forest Monitoring
2025Open Access
Benchmarking tree species classification from proximally sensed laser scanning data: Introducing the <scp>FOR</scp> ‐ <scp>species20K</scp> dataset
Methods in Ecology and Evolution·2025· 18 citedOpen Access
Author response for "Benchmarking tree species classification from proximally sensed laser scanning data: Introducing the &lt;scp&gt;FOR&lt;/scp&gt;‐&lt;scp&gt;species20K&lt;/scp&gt; dataset"
2024
Advancing vegetation monitoring with virtual laser scanning of dynamic scenes (VLS-4D): Opportunities, implementations and future perspectives
2024· 1 citedOpen Access
CNN-based transfer learning for forest aboveground biomass prediction from ALS point cloud tomography
European Journal of Remote Sensing·2024· 4 citedOpen Access
Deep learning with simulated laser scanning data for 3D point cloud classification
ISPRS Journal of Photogrammetry and Remote Sensing·2024· 11 citedOpen Access
Machine-learning based 3D point cloud classification and multitemporal change analysis with simulated laser scanning data using open source scientific software
2024Open Access
Simulating 4D scenes of rockfall and landslide activity for improved 3D point cloud-based change detection using machine learning
2024Open Access
How Tree Movement Influences Tree Metrics Derived from Laser Scanning Point Clouds
2024Open Access
Automatic Classification of Surface Activity Types from Geographic 4D Monitoring Combining Virtual Laser Scanning, Change Analysis and Machine Learning
2024Open Access
Deep learning with simulated laser scanning data for 3D point cloud classification
2024· 2 citedOpen Access
Assessing the potential of synthetic and <i>ex situ</i> airborne laser scanning and ground plot data to train forest biomass models
Forestry An International Journal of Forest Research·2023· 6 cited
Generating synthetic laser scanning data of forests by combining forest inventory information, a tree point cloud database and an open-source laser scanning simulator
Forestry An International Journal of Forest Research·2023· 9 cited
page 1 of 2Next →

Frequent Co-authors

Bernhard Höfle(33), Lukas Winiwarter(22), Fabian Ewald Fassnacht(12), Katharina Anders(11), Alberto Manuel Esmorís Pena(10), Jannika Schäfer(10), Ronald Tabernig(8), Vivien Zahs(5), Nina Krašovec(4), Grzegorz Krok(4), Krzysztof Stereńczak(4), Julian Frey(3), Kim Calders(3), Martin Mokroš(3), Ninni Saarinen(3), Louise Terryn(3), Sebastian Schmidtlein(3), William C. Albert(3), Jorge Martínez Sánchez(2), Mark Searle(2)