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Hannah Weiser Publications

44 publications
Publication year

2026

  • Mosig, C., Höfle, B., Weiser, H., & Kattenborn, T. (2026). deadtrees.earth: an open-access and interactive database for centimeter-scale aerial imagery to uncover global tree mortality dynamics. Remote Sensing of Environment, 332, 1–15. http://doi.org/10.1016/j.rse.2025.115027

2025

  • Albert, W., Weiser, H., Tabernig, R., & Höfle, B. (2025). Wind during terrestrial laser scanning of trees: simulation-based assessment of effects on point cloud features and leaf-wood classification. In ISPRS Geospatial Week 2025 “Photogrammetry & remote sensing for a better tomorrow ...”, 6-11 April 2025, Dubai, United Arab Emirates (UAE). ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (Vol. X-G-2025, 2025, pp. 25–32). http://doi.org/10.5194/isprs-annals-X-G-2025-25-2025
  • Durrant, A., Harcourt, W. D., Höfle, B., Weiser, H., & Tabernig, R. (2025). Linking small- and large-scale Digital Twins: a concept. In EGU General Assembly 2025 (p. 1). http://doi.org/10.5194/egusphere-egu25-18187
  • Fischer, F. J., Morgan, B., Jackson, T., Chave, J., Coomes, D. A., Cushman, K. C., Dalagnol, R., Dalponte, M., Duncanson, L., Saatchi, S., Seidl, R., Stereńczak, K., Laurin, G. V., Adu-Bredu, S., Aguirre-Gutiérrez, J., Antonielli, B., Armston, J. D., Assis, M. L. de, Barbier, N., Burt, A., César, R. G., Cervenka, J., Coops, N., Cullen, L., Dalling, J. W., Davies, A., Demol, M., Ebenbeck, J., Fassnacht, F., Fatoyinbo, L., García, M., Gasparri, N. I., Gobakken, T., Goodbody, T. R. H., Görgens, E. B., Gorum, T., Gosper, C., Guan, H., Heiskanen, J., Heurich, M., Hobi, M. L., Höfle, B., Hooijer, A., Huth, A., Kedrov, A., Kellner, J. R., Koenig, S., Král, K., Krassovski, M., Kuechly, H., Krůček, M., Htoo, K. K., Labrière, N., Lai, D., Larson, J., Laudon, H., Lemke, D., Lenoir, J., Malhi, Y., Malik, O. A., Martin, M., McNicol, I. M., Milenković, M., Minor, D., Mitchard, E., Moudrý, V., Muller-Landau, H. C., Næsset, E., Nathalang, A., Ometto, J. P., Onishi, M., Onoda, Y., Pellikka, P. K. E., Persson, H., Ferreira, M. P., Ploton, P., Prober, S. M., Rahman, F., Rana, P., Réjou-Méchain, M., Schäfer, J., Senf, C., Shapiro, A., Schepaschenko, D., Shen, G., Silman, M., Silva, T., Singh, J., Slik, F., Stillhard, J., Subash, A., Takeshige, R., Tao, S., Tenorio, E., Tokola, T., Tompalski, P., Tripathi, N., Valbuena, R., Valentini, R., Vernimmen, R., Vincent, G., Wallerman, J., Jaafar, W. S. W. M., Wang, Y., Weiser, H., White, J. E., Winiwarter, L., Wulder, M., Yuan, Z., Zdunic, K., Zeng, Y., Zhang, H., Zhang, J., Zhang, Z., & Jucker, T. (2025). The global canopy atlas: analysis-ready maps of 3D structure for the world’s woody ecosystems. In bioRxiv beta (pp. 1–53). http://doi.org/10.1101/2025.08.31.673375
  • Kükenbrink, D., Gassilloud, M., Brede, B., Bornand, A., Calders, K., Cherlet, W., Eichhorn, M. P., Frey, J., Gretler, C. M., Höfle, B., Kattenborn, T., Klinger, L., Mokros, M., Pitkänen, T., Saarinen, N., Terrin, L., Weiser, H., & Göritz, A. (2025). Insights from the unseen: occlusion in forest laser scanning. In EarthArXiv (pp. 1–72). http://doi.org/10.31223/X5N16X
  • Puliti, S., Lines, E. R., Müllerová, J., Frey, J., Schindler, Z., Straker, A., Allen, M. J., Winiwarter, L., Rehush, N., Hristova, H., Murray, B., Calders, K., Coops, N., Höfle, B., Irwin, L., Junttila, S., Krůček, M., Krok, G., Král, K., Levick, S. R., Luck, L., Missarov, A., Mokroš, M., Owen, H. J. F., Stereńczak, K., Pitkänen, T. P., Puletti, N., Saarinen, N., Hopkinson, C., Terryn, L., Torresan, C., Tomelleri, E., Weiser, H., & Astrup, R. (2025). Benchmarking tree species classification from proximally sensed laser scanning data: Introducing the FOR-species20K dataset. Methods in Ecology and Evolution, 16(4), 801–818. http://doi.org/10.1111/2041-210X.14503
  • Tabernig, R., Albert, W., Weiser, H., & Höfle, B. (2025). A hierarchical approach for near real-time 3D surface change analysis of permanent laser scanning point clouds. In 6th Joint International Symposium on Deformation Monitoring (pp. 1–9). http://doi.org/10.5445/IR/1000180377
  • Tabernig, R., Albert, W., Weiser, H., Fritzmann, P., Anders, K., Rutzinger, M., & Höfle, B. (2025). Temporal aggregation of point clouds improves permanent laser scanning of landslides in forested areas [source code]. http://doi.org/10.11588/DATA/ISB1VL
  • Tabernig, R., Albert, W., Weiser, H., Fritzmann, P., Anders, K., Rutzinger, M., & Höfle, B. (2025). Temporal aggregation of point clouds improves permanent laser scanning of landslides in forested areas. Science of Remote Sensing, 12, 1–16. http://doi.org/10.1016/j.srs.2025.100254
  • Tabernig, R., Albert, W., Weiser, H., & Höfle, B. (2025). Towards in-situ near real-time 3D environmental monitoring and geospatial point cloud analysis with open-source software. AGIT Konferenz für Geoinformatik 2.-3. Juli 2025, Salzburg (p. 202). http://doi.org/10.25598/agit/2025-48
  • Weiser, H., & Höfle, B. (2025). Advancing vegetation monitoring with virtual laser scanning of dynamic scenes (VLS-4D): opportunities, implementations and future perspectives. In EarthArXiv (pp. 1–26). http://doi.org/10.31223/X51Q5V
  • Weiser, H., & Höfle, B. (2025). Advancing vegetation monitoring with virtual laser scanning of dynamic scenes (VLS-4D): Opportunities, implementations and future perspectives. Methods in Ecology and Evolution, 1–19. http://doi.org/10.1111/2041-210x.70189
  • Weiser, H., Albert, W., & Höfle, B. (2025). Non-rigid registration of wind-affected terrestrial laser scanning point clouds of trees using deep learning. http://doi.org/10.11588/heidok.00037493
  • Weiser, H., Albert, W., Tabernig, R., & Höfle, B. (2025). Virtual laser scanning of dynamic scenes (VLS-4D): a novel opportunity for advancing 3D forest monitoring. In EGU General Assembly 2025 (pp. 1–2). http://doi.org/10.5194/egusphere-egu25-1560

2024

  • Esmorís Pena, A. M., Weiser, H., Winiwarter, L., Cabaleiro, J. C., & Höfle, B. (2024). Deep learning with simulated laser scanning data for 3D point cloud classification. ISPRS Open Journal of Photogrammetry and Remote Sensing, 215, 192–213. http://doi.org/10.1016/j.isprsjprs.2024.06.018
  • Höfle, B., Tabernig, R., Zahs, V., Esmorís Pena, A. M., Winiwarter, L., & Weiser, H. (2024). Machine-learning based 3D point cloud classification and multitemporal change analysis with simulated laser scanning data using open source scientific software. In EGU General Assembly 2024 (pp. 1–2). http://doi.org/10.5194/egusphere-egu24-1261
  • Schäfer, J., Winiwarter, L., Weiser, H., Höfle, B., Schmidtlein, S., Novotný, J., Krok, G., Stereńczak, K., Hollaus, M., & Fassnacht, F. E. (2024). CNN-based transfer learning for forest aboveground biomass prediction from ALS point cloud tomography. European Journal of Remote Sensing, 57(1), 1–18. http://doi.org/10.1080/22797254.2024.2396932
  • Tabernig, R., Zahs, V., Weiser, H., & Höfle, B. (2024). Simulating 4D scenes of rockfall and landslide activity for improved 3D point cloud-based change detection using machine learning. In EGU General Assembly 2024 (pp. 1–2). http://doi.org/10.5194/egusphere-egu24-1613
  • Weiser, H. (2024). How does vegetation movement during laser scanning affect common point cloud-derived metrics?: a virtual laser scanning study.
  • Weiser, H., Esmorís Pena, A. M., & Höfle, B. (2024). How tree movement influences tree metrics derived from laser scanning point clouds. In EGU General Assembly 2024 (pp. 1–2). http://doi.org/10.5194/egusphere-egu24-1633
  • Weiser, H., Ulrich, V., Winiwarter, L., Esmorís Pena, A. M., & Höfle, B. (2024). Manually labeled terrestrial laser scanning point clouds of individual trees for leaf-wood separation. http://doi.org/10.11588/data/UUMEDI
  • Zahs, V., Höfle, B., Federer, M., Weiser, H., Tabernig, R., & Anders, K. (2024). Automatic classification of surface activity types from geographic 4D monitoring combining virtual laser scanning, change analysis and machine learning. In EGU General Assembly 2024 (pp. 1–2).
  • Schäfer, J., Winiwarter, L., Weiser, H., Novotný, J., Höfle, B., Schmidtlein, S., Henniger, H., Krok, G., Stereńczak, K., & Faßnacht, F. E. (2024). Assessing the potential of synthetic and ex situ airborne laser scanning and ground plot data to train forest biomass models. Forestry, 97(4), 512–530. http://doi.org/10.1093/forestry/cpad061

2023

  • Brede, B., Kükenbrink, D., Höfle, B., Kattenborn, T., Klinger, L., Pitkänen, T., Singh, A., & Weiser, H. (2023). Occlusion mapping tools for point cloud quality assessment in forest laser scanning. In SilviLaser 2023 (p. 1).
  • Schäfer, J., Weiser, H., Winiwarter, L., Höfle, B., Schmidtlein, S., & Faßnacht, F. E. (2023). 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, 96(5), 653–671. http://doi.org/10.1093/forestry/cpad006
  • Schäfer, J., Winiwarter, L., Weiser, H., Novotný, J., Höfle, B., Schmidtlein, S., Henniger, H., Stereńczak, K., & Faßnacht, F. E. (2023). Potential and limitations of simulated airborne laser scanning data for forest biomass estimation. In SilviLaser 2023 (p. 1).
  • Tabernig, R., Anders, K., Fritzmann, P., Weiser, H., Zahs, V., Höfle, B., & Rutzinger, M. (2023). Quantifying slope movements: tree trunk tracking using long-range stationary 4D laser scanning point clouds. In VGC 2023 - Unveiling the dynamic Earth with digital methods (pp. 114–115).

2022

  • Esmorís Pena, A. M., Yermo, M., Weiser, H., Winiwarter, L., Höfle, B., & Rivera, F. F. (2022). Virtual LiDAR simulation as a high performance computing challenge: toward HPC HELIOS++. IEEE Access, 10, 105052–105073. http://doi.org/10.1109/ACCESS.2022.3211072
  • Searle, M., Weiser, H., Winiwarter, L., & Höfle, B. (2022). Simulation von Laserscanning mit AEOS, dem QGIS Plugin für HELIOS++. In FOSSGIS 2022 - Anwenderkonferenz für Freie und Open Source Software für Geoinformationssysteme, Open Data und OpenStreetMap (pp. 203–204).
  • Searle, M., Weiser, H., Winiwarter, L., & Höfle, B. (2022). Simulation von Laserscanning mit AEOS, dem QGIS Plugin für HELIOS++. http://doi.org/10.11588/heidok.00037197
  • Shinoto, M., Doneus, M., Haijima, H., Weiser, H., Zahs, V., Kempf, D., Daskalakis, G., Höfle, B., & Nakamura, N. (2022). 3D point cloud from Nakadake Sanroku Kiln Site Center, Japan: sample data for the application of adaptive filtering with the AFwizard. http://doi.org/10.11588/data/TJNQZG
  • Weiser, H., Winiwarter, L., Schäfer, J., Faßnacht, F. E., & Höfle, B. (2022). Airborne laser scanning (ALS) point clouds with full-waveform (FWF) data of central European forest plots, Germany [dataset]. http://doi.org/10.1594/PANGAEA.947038
  • Weiser, H., Schäfer, J., Winiwarter, L., Krašovec, N., Fassnacht, F. E., & Höfle, B. (2022). Individual tree point clouds and tree measurements from multi-platform laser scanning in German forests. Earth System Science Data, 14(7), 2989–3012. http://doi.org/10.5194/essd-14-2989-2022
  • Weiser, H., Searle, M., Winiwarter, L., & Höfle, B. (2022). Laserscanning simulieren mit HELIOS++: eine praktische Einführung. In FOSSGIS 2022 - Anwenderkonferenz für Freie und Open Source Software für Geoinformationssysteme, Open Data und OpenStreetMap (pp. 175–176).
  • Weiser, H., Searle, M., Winiwarter, L., & Höfle, B. (2022). Laserscanning simulieren mit HELIOS++: eine praktische Einführung. http://doi.org/10.11588/heidok.00037196
  • Weiser, H., Schäfer, J., Winiwarter, L., Krašovec, N., Seitz, C., Schimka, M., Anders, K., Baete, D., Braz, A. S., Brand, J., Debroize, D., Kuss, P., Martin, L. L., Mayer, A., Schrempp, T., Schwarz, L.-M., Ulrich, V., Faßnacht, F. E., & Höfle, B. (2022). Terrestrial, UAV-borne, and airborne laser scanning point clouds of central European forest plots, Germany, with extracted individual trees and manual forest inventory measurements [dataset]. http://doi.org/10.1594/PANGAEA.942856
  • Weiser, H., Winiwarter, L., Zahs, V., Weiser, P., Anders, K., & Höfle, B. (2022). UAV-photogrammetry, UAV laser scanning and terrestrial laser scanning point clouds of the inland dune in Sandhausen, Baden-Württemberg, Germany [dataset]. http://doi.org/10.1594/PANGAEA.949228
  • Winiwarter, L., Esmorís Pena, A. M., Weiser, H., Anders, K., Martínez Sánchez, J., Searle, M., & Höfle, B. (2022). Virtual laser scanning with HELIOS++: a novel take on ray tracing-based simulation of topographic full-waveform 3D laser scanning. Remote Sensing of Environment, 269, 1–18. http://doi.org/10.1016/j.rse.2021.112772
  • Winiwarter, L., Esmorís Pena, A. M., Zahs, V., Weiser, H., Searle, M., Anders, K., & Höfle, B. (2022). Virtual laser scanning using HELIOS++: applications in machine learning and forestry. In EGU General Assembly 2022 (pp. 1–2). http://doi.org/10.5194/egusphere-egu22-8671

2021

  • Faßnacht, F. E., Schäfer, J., Weiser, H., Winiwarter, L., Krašovec, N., Latifi, H., & Höfle, B. (2021). Presenting the GeForse approach to create synthetic LiDAR data from simulated forest stands to optimize forest inventories. In EGU General Assembly 2021 (pp. 1–2). http://doi.org/10.5194/egusphere-egu21-9197
  • Weiser, H., Winiwarter, L., Anders, K., Faßnacht, F. E., & Höfle, B. (2021). Opaque voxel-based tree models for virtual laser scanning in forestry applications. Remote Sensing of Environment, 265, 1–17. http://doi.org/10.1016/j.rse.2021.112641
  • Weiser, H., Winiwarter, L., Anders, K., Faßnacht, F. E., & Höfle, B. (2021). Opaque voxel-based tree models for virtual laser scanning in forestry applications [research data and source code]. http://doi.org/10.11588/data/MZBO7T
  • Weiser, H., Winiwarter, L., Schäfer, J., Faßnacht, F. E., Anders, K., Esmorís Pena, A. M., & Höfle, B. (2021). Virtual laser scanning (VLS) in forestry: investigating appropriate 3D forest representations for LiDAR simulations with HELIOS++. In EGU General Assembly 2021 (pp. 1–2). http://doi.org/10.5194/egusphere-egu21-9178

2019

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