Virtual laser scanning with HELIOS++: A novel take on ray tracing-based simulation of topographic 3D laser scanning. - Lukas Winiwarter; Alberto Manuel Esmorís Pena; Hannah Weiser; Katharina Anders; Jorge Martínez Sánchez; Mark Searle; Bernhard Höfle (CoRR, 2021)

Use of TanDEM-X and Sentinel Products to Derive Gully Activity Maps in Kunene Region (Namibia) Based on Automatic Iterative Random Forest Approach. - Miguel Vallejo Orti; Lukas Winiwarter; Eva Corral-Pazos-de-Provens; Jack G. Williams; Olaf Bubenzer; Bernhard Höfle (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

M3C2-EP: Pushing the limits of 3D topographic point cloud change detection by error propagation [Data and Source Code]. - Lukas Winiwarter; Katharina Anders; Vivien Zahs; Martin Hämmerle; Bernhard Höfle (heiDATA, 2021)

M3C2-EP: Pushing the limits of 3D topographic point cloud change detection by error propagation [Data and Source Code]. - Lukas Winiwarter; Katharina Anders; Vivien Zahs; Martin Hämmerle; Bernhard Höfle (heiDATA, 2021)

Opaque Voxel-based Tree Models for Virtual Laser Scanning in Forestry Applications [Research Data and Source Code]. - Hannah Weiser; Lukas Winiwarter; Katharina Anders; Fabian Ewald Fassnacht; Bernhard Höfle (heiDATA, 2021)

Virtual LiDAR Simulation as a High Performance Computing Challenge: Toward HPC HELIOS++. - Alberto Manuel Esmorís Pena; Miguel Yermo; Hannah Weiser; Lukas Winiwarter; Bernhard Höfle; Francisco F. Rivera (IEEE Access, 2022)

Improving Change Analysis From Near-Continuous 3D Time Series by Considering Full Temporal Information. - Katharina Anders; Lukas Winiwarter; Bernhard Höfle (IEEE Geosci. Remote. Sens. Lett., 2022)

UAV laser scanning and terrestrial laser scanning point clouds of snow-on and snow-off conditions of a forest plot in the black forest at Hundseck, Baden-Württemberg, Germany [data]. - Lukas Winiwarter; Katharina Anders; Guyen Battuvshin; Lucas Menzel; Bernhard Höfle (heiDATA, 2023)

UAV laser scanning and terrestrial laser scanning point clouds of snow-on and snow-off conditions of a forest plot in the black forest at Hundseck, Baden-Württemberg, Germany [data]. - Lukas Winiwarter; Katharina Anders; Guyen Battuvshin; Lucas Menzel; Bernhard Höfle (heiDATA, 2023)

Benchmarking tree species classification from proximally-sensed laser scanning data: introducing the FOR-species20K dataset. - Stefano Puliti; Emily R. Lines; Jana Müllerová; Julian Frey; Zoe Schindler; Adrian Straker; Matt Allen 001; Lukas Winiwarter; Nataliia Rehush; Hristina Hristova; Brent Murray; Kim Calders; et al. (CoRR, 2024)

Manually labeled terrestrial laser scanning point clouds of individual trees for leaf-wood separation. - Hannah Weiser; Veit Ulrich; Lukas Winiwarter; Alberto M. Esmorís; Bernhard Höfle (heiDATA, 2024)

Extraction of Forest Road Information from CubeSat Imagery Using Convolutional Neural Networks. - Lukas Winiwarter; Nicholas C. Coops; Alex Bastyr; Jean-Romain Roussel; Daisy Q. R. Zhao; Clayton T. Lamb; Adam T. Ford (Remote. Sens., 2024)

An Automatic Iterative Random Forest approach to derive gully activity maps in large areas with training data scarcity [Data and Source Code]. - Miguel Vallejo Orti; Lukas Winiwarter; Eva Corral-Pazos-de-Provens; Jack Williams; Olaf Bubenzer; Bernhard Höfle (heiDATA, 2024)

Evaluating Tree Species Mapping: Probability Sampling Validation of Pure and Mixed Species Classes Using Convolutional Neural Networks and Sentinel-2 Time Series. - Tobias Schadauer; Susanne Karel; Markus Loew; Ursula Knieling; Kevin Kopecky; Christoph Bauerhansl; Ambros Berger; Stephan Graeber; Lukas Winiwarter (Remote. Sens., 2024)

A systematic literature review of low-cost 3D mapping solutions. - Jesús Balado; Raissa Garozzo; Lukas Winiwarter; Sofia Tilon (Inf. Fusion, 2025)

Multispectral airborne laser scanning for tree species classification: a benchmark of machine learning and deep learning algorithms. - Josef Taher; Eric Hyyppä; Matti Hyyppä; Klaara Salolahti; Xiaowei Yu; Leena Matikainen; Antero Kukko; Matti Lehtomäki; Harri Kaartinen; Sopitta Thurachen; Paula Litkey; Ville Luoma; et al. (CoRR, 2025)