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Publications Publications of the 3DGeo Group

Publications of Prof. Dr. Bernhard Höfle, Dr. Nicole Aeschbach and former or current 3DGeo group members are listed below, sorted by year.

372 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

  • Aeschbach, N., & Foshag, K. (2025). Critical literacy for climate action: digitales Lernmaterial stärkt das Erkennen, Bewerten und Handeln in der Klimakrise. Geographie heute, 374, 66–67.
  • 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
  • Carniel, N., Tabernig, R., Hartl, L., & Höfle, B. (2025). Deriving activity zones of the Äußeres Hochebenkar rock glacier through boulder tracking in multitemporal UAV-LiDAR point clouds. In EGU General Assembly 2025 (pp. 1–2). http://doi.org/10.5194/egusphere-egu25-5020
  • Czerwonka-Schröder, D., Schulte, F., Albert, W., Hosseini, K., Tabernig, R., Yang, Y., Höfle, B., Holst, C., & Zimmermann, K. (2025). AImon5.0: real-time monitoring of gravitational mass movements for critical infrastructure risk management with AI-assisted 3D metrology. In 6th Joint International Symposium on Deformation Monitoring (pp. 1–9). http://doi.org/10.5445/IR/1000179762
  • 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
  • Eberl, J., Zahs, V., Klonner, C., Höfle, B., Stempniewski, L., & Stark, A. (2025). Building damage assessment in natural disasters: a trans- and interdisciplinary approach combining domain knowledge, 3D machine learning, and crowdsourcing. Progress in Disaster Science, 26, 1–10. http://doi.org/10.1016/j.pdisas.2025.100427
  • 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
  • Lindenbergh, R., Anders, K., Campos, M., Czerwonka-Schröder, D., Höfle, B., Kuschnerus, M., Puttonen, E., Prinz, R., Rutzinger, M., Voordendag, A., & Vos, S. (2025). Permanent terrestrial laser scanning for near-continuous environmental observations: systems, methods, challenges and applications. ISPRS Open Journal of Photogrammetry and Remote Sensing, 17, 1–16. http://doi.org/10.1016/j.ophoto.2025.100094
  • Meyer, J. S., Tabernig, R., & Höfle, B. (2025). Detection of honey bees (Apis mellifera) in hypertemporal LiDAR point cloud time series to extract bee activity zones and times. 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. 583–590). http://doi.org/10.5194/isprs-annals-X-G-2025-583-2025
  • Prishchepov, A. V., Anders, K., Feranec, J., Goga, T., Gradinaru, S. R., Kolář, J., Pazúr, R., Potůčková, M., Zagajewski, B., & Kupková, L. (2025). The progress and potential directions in the remote sensing of farmland abandonment. Remote Sensing of Environment, 331, 1–16. http://doi.org/10.1016/j.rse.2025.115019
  • 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
  • Wenger, A., Schreuer, A., Görlinger, S., Aeschbach, N., Fleiß, E., Kreil, A. S., Merrem, C., Posch, A., Stauffacher, M., & Thaller, A. (2025). Conference air travel’s relevance and ways to reduce it. Transportation Research, 138, 1–17. http://doi.org/10.1016/j.trd.2024.104488

2024

  • Aeschbach, N., & Foshag, K. (2024). Transdisziplinäre Forschung zur Adaption an die Folgen des Klimawandels. HGG-Journal, 37.2022/23, 91–93.
  • 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
  • Fernández-Arango, D., Varela-García, F.-A., & Esmorís Pena, A. M. (2024). Methodology for identifying optimal pedestrian paths in an urban environment: a case study of a school environment in A Coruña, Spain. Smart Cities, 7(3), 1441–1461. http://doi.org/10.3390/smartcities7030060
  • Foshag, K., Fürle, J., Ludwig, C., Fallmann, J., Lautenbach, S., Rupp, S., Burst, P., Betsch, M., Zipf, A., & Aeschbach, N. (2024). How to assess the needs of vulnerable population groups towards heat-sensitive routing?: an evidence-based and practical approach to reducing urban heat stress. Erdkunde, 78(1), 1–33. http://doi.org/10.3112/erdkunde.2024.01.01
  • Foshag, K., Ruckelshauß, T., Schlieszus, A.-K., Aeschbach, N., & Siegmund, A. (2024). The impact of structured professional development on promoting Education for Sustainable Development (ESD) in higher education: evaluation of course components and their effects on professional and personal contexts. Heidelberg Inspirations for Innovative Teaching, 5(1), 45–72. http://doi.org/10.11588/hint.2024.1.108556
  • 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
  • Innsbruck Summer School of Alpine Research (2024, Sölden-Obergurgl). (2024). Sensing mountains: Innsbruck Summer School of Alpine Research 2024  -  close range sensing techniques in Alpine terrain. http://doi.org/10.15203/99106-137-3
  • Olivier, G., Van De Wiel, M. J., Castillo, C., Vallejo Orti, M., & Clercq, W. de. (2024). Giving gully detection a HAND: testing the scalability and transferability of a semi-automated object-orientated approach to map permanent gullies. Catena, 236, 1–20. http://doi.org/10.1016/j.catena.2023.107706
  • 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
  • Vallejo Orti, M., Castillo, C., Zahs, V., Bubenzer, O., & Höfle, B. (2024). Classifying types of gully changes with unoccupied aircraft vehicles 3D multitemporal point clouds for training of satellite data analysis in Northwest Namibia. Earth Surface Processes and Landforms, 49(3), 1135–1155. http://doi.org/10.1002/esp.5759
  • Vallejo Orti, M., Anders, K., Ajali, O., Bubenzer, O., & Höfle, B. (2024). Integrating VGI contributions for gully mapping using Kalman filter and machine learning. http://doi.org/10.11588/data/UHSQG0
  • Vallejo Orti, M., Anders, K., Ajayi, O., Bubenzer, O., & Höfle, B. (2024). Integrating multi-user digitising actions for mapping gully outlines using a combined approach of Kalman filtering and machine learning. ISPRS Open Journal of Photogrammetry and Remote Sensing, 12, 1–15. http://doi.org/10.1016/j.ophoto.2024.100059
  • 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

  • Aeschbach, N., Röck, D., Foshag, K., Engelhardt, E., Mosmann, L., & Aeschbach, W. (2023). Climate physics meets education for sustainable development: how to address wicked problems through blended learning. Heidelberg Inspirations for Innovative Teaching, 4(1), 47–71. http://doi.org/10.11588/hint.2023.1.101927
  • Aeschbach, N., & Aeschbach, W. (2023). Klimaphysik und Bildung für nachhaltige Entwicklung. Geographische Rundschau, 75(7/8), 65–.
  • Aeschbach, N. (2023). Navigation für zukunftsorientiertes Lernen: digitale Literalität im OECD-Lernkompass 2030. Unterricht Biologie, 47(481), 44–45.
  • Aeschbach, W., & Aeschbach, N. (2023). Physikalische Grundlagen des Klimawandels. In Heidelberger Standards der Klimamedizin (pp. 3–9).
  • Anders, K., & Höfle, B. (2023). Spatiotemporal tracking of surface processes through their change histories in dense 3D time series by implementing a time-extension on the 4D objects-by-change method. In EGU General Assembly 2023 (p. 1). http://doi.org/10.5194/egusphere-egu23-8158
  • Anders, K., Höfle, B., Zumstein, S., Dvořák, J., Gryguc, K., Kupková, L., Marcinkowska-Ochtyra, A., Mayr, A., Ochtyra, A., Potůčková, M., & Rutzinger, M. (2023). Time series analysis of 3D/4D point clouds within the open-source online course E-TRAINEE. In VGC 2023 - Unveiling the dynamic Earth with digital methods (pp. 22–23).
  • Arav, R., Anders, K., Pöppl, F., Höfle, B., & Pfeifer, N. (2023). Tracing snow cover dynamics using 4D level-sets on near-continuous terrestrial laser scanning time series. In Remote sensing of the cryosphere (p. 126). http://doi.org/10.13140/RG.2.2.27561.06243
  • Brandenstein, N., Ackermann, K., Aeschbach, N., & Rummel, J. (2023). The key determinants of individual greenhouse gas emissions in Germany are mostly domain-specific. Communications Earth & Environment, 4(1), 1–18. http://doi.org/10.1038/s43247-023-01092-x
  • 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).
  • Foshag, K., Przybill, K., Aeschbach, N., Lautenbach, S., & Zipf, A. (2023). Challenges and solution approach for greenhouse gas emission inventories at fine spatial resolutions - the example of the Rhine-Neckar district. TdLab Geography discussion papers (Vol. 2). http://doi.org/10.11588/heidok.00034126
  • Foshag, K., Vogt, K., Ebenhoch, S., & Aeschbach, N. (2023). How transdisciplinary projects can contribute to climate-friendly mobility in cities. TdLab Geography discussion papers (Vol. 1). http://doi.org/10.11588/heidok.00032531
  • Görlinger, S., Merrem, C., Jungmann, M., & Aeschbach, N. (2023). An evidence-based approach to accelerate flight reduction in academia. Npj Climate Action, 2(1), 1–12. http://doi.org/10.1038/s44168-023-00069-y
  • Hartl, L., Zieher, T., Bremer, M., Stocker-Waldhuber, M., Zahs, V., Höfle, B., Kluge, C., & Cicoira, A. (2023). Multisensor monitoring and data integration reveal cyclical destabilization of Äußeres Hochebenkar Rock Glacier. Earth Surface Dynamics, 11(1), 117–147. http://doi.org/10.5194/esurf-11-117-2023
  • Höfle, B., Zahs, V., Kohns, J., Meyer, F., Schorlemmer, D., Anders, K., Klonner, C., Mey, H., Oostwegel, L., & Evaz Zadeh, T. (2023). LOKI - Luftgestützte Observation Kritischer Infrastrukturen: Schlussbericht : Berichtszeitraum: 01.01.2020-31.03.2023. http://doi.org/10.2314/KXP:1885697937
  • Höfle, B., Zahs, V., Kohns, J., Meyer, F., Schorlemmer, D., Anders, K., Klonner, C., Mey, H., Oostwegel, L., & Evaz Zadeh, T. (2023). LOKI - Luftgestützte Observation Kritischer Infrastrukturen: Schlussbericht : Laufzeit des Vorhabens: 01.01.2020-31.12.2023. http://doi.org/10.5445/IR/1000170052
  • Höfle, B. (2023). Measuring and understanding the world through geoinformatics using the example of natural hazards. In Measurement and understanding in science and humanities (pp. 177–190). http://doi.org/10.1007/978-3-658-36974-3_14
  • Potůčková, M., Albrechtová, J., Anders, K., Červená, L., Dvořák, J., Gryguc, K., Höfle, B., Hunt, L., Lhotáková, Z., Marcinkowska-Ochtyra, A., Mayr, A., Neuwirthová, E., Ochtyra, A., Rutzinger, M., Šedová, A., Šrollerů, A., & Kupková, L. (2023). E-TRAINEE: open E-learning course on time series analysis in remote sensing. In ISPRS Geospatial Week 2023. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (Vol. volume XLVIII-1/W2–2023, pp. 989–996). http://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-989-2023
  • Rutzinger, M., Anders, K., Bremer, M., Eltner, A., Gaevert, C., Höfle, B., Lindenbergh, R., Mayr, A., Oude Elberink, S., Pirotti, F., Scaioni, M., & Zieher, T. (2023). Sensing mountains: learning about the observation of environmental processes in a changing world. In VGC 2023 - Unveiling the dynamic Earth with digital methods (pp. 109–110).
  • 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).
  • Vallejo Orti, M., Castillo, C., Zahs, V., Bubenzer, O., & Höfle, B. (2023). Classification of types of changes in gully environments using time series forest algorithm [data]. http://doi.org/10.11588/data/NSMM6P
  • Vallejo Orti, M. (2023). Development of methods for gully detection and monitoring in large areas combining remote sensing and crowdsourcing techniques.
  • Vallejo Orti, M., Negussie, K., Corral, E., Höfle, B., & Bubenzer, O. (2023). Gully detection with inverse morphological reconstruction algorithm [data]. http://doi.org/10.11588/data/PXDR4M
  • Vallejo Orti, M., Negussie, K., Corral, E., Höfle, B., & Bubenzer, O. (2023). Multi Profile Curvature Analysis (MPCA) algorithm for gully detection using TanDEM X Digital elevation model. http://doi.org/10.11588/data/A4KGYJ
  • Winiwarter, L., Anders, K., Czerwonka-Schröder, D., & Höfle, B. (2023). Full 4D change analysis of topographic point cloud time series using Kalman filtering. Earth Surface Dynamics Discussions, 11(4), 593–613. http://doi.org/10.5194/esurf-2021-103
  • Winiwarter, L., Anders, K., Czerwonka-Schröder, D., & Höfle, B. (2023). Full four-dimensional change analysis of topographic point cloud time series using Kalman filtering. Earth Surface Dynamics, 11(4), 593–613. http://doi.org/10.5194/esurf-11-593-2023
  • Winiwarter, L., Anders, K., Battuvshin, G., Menzel, L., & Höfle, B. (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]. http://doi.org/10.11588/data/UCPTP1
  • Zahs, V., Anders, K., Kohns, J., Stark, A., & Höfle, B. (2023). Classification of structural building damage grades from multi-temporal photogrammetric point clouds using a machine learning model trained on virtual laser scanning data [Data and Source Code]. http://doi.org/10.11588/data/D3WZID
  • Zahs, V., Anders, K., Kohns, J., Stark, A., & Höfle, B. (2023). Classification of structural building damage grades from multi-temporal photogrammetric point clouds using a machine learning model trained on virtual laser scanning data. International Journal of Applied Earth Observation and Geoinformation, 122, 1–15. http://doi.org/10.1016/j.jag.2023.103406

2022

  • Anders, K., Winiwarter, L., Hulskemper, D., & Höfle, B. (2022). 4D-Änderungsobjekte zur automatischen Extraktion räumlich und zeitlich variabler Oberflächenänderungen aus kontinuierlichen 3D-Zeitserien natürlicher Szenen. http://doi.org/10.13140/RG.2.2.32594.22720
  • Anders, K., Winiwarter, L., & Höfle, B. (2022). Automatic extraction and characterization of natural surface changes from near-continuous 3D time series using 4D objects-by-change and Kalman filtering. In EGU General Assembly 2022 (pp. [1–2]). http://doi.org/10.5194/egusphere-egu22-4225
  • Anders, K., & Höfle, B. (2022). ER3DS: Emissionsreduktion in Smart Cities mit räumlicher 3D-Erfassung und Analyse. http://doi.org/10.11588/heidok.00031672
  • Anders, K., Eberlein, S., & Höfle, B. (2022). Hourly terrestrial laser scanning point clouds of snow cover in the area of the Schneeferner, Zugspitze, Germany. http://doi.org/10.1594/PANGAEA.941550
  • Anders, K., Winiwarter, L., & Höfle, B. (2022). Improving change analysis from near-continuous 3D time series by considering full temporal information. IEEE Geoscience and Remote Sensing Letters, 19, 1–5. http://doi.org/10.1109/LGRS.2022.3148920
  • Anders, K., Winiwarter, L., Schröder, D., & Höfle, B. (2022). Integration of Kalman filtering of near-continuous surface change time series into the extraction of 4D objects-by-change. In XXIV ISPRS Congress “Imaging today, foreseeing tomorrow”, Commission II. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (Vol. 43–B2–2022, pp. 973–980). http://doi.org/10.5194/isprs-archives-XLIII-B2-2022-973-2022
  • Anders, K., Weise, T., Aeschbach, N., & Höfle, B. (2022). Strategies of managing urban tree vegetation: a study of cities in Taiwan. http://doi.org/10.11588/heidok.00031780
  • Cicoira, A., Hartl, L., Zieher, T., Bremer, M., Stocker-Waldhuber, M., Zahs, V., Höfle, B., & Klug, C. (2022). Two destabilization phases of the Äußeres Hochebenkar Rock Glacier: revealed through 70 years of digital surface models. Copernicus Publications. http://doi.org/10.5446/60175
  • Doneus, M., Höfle, B., Kempf, D., Daskalakis, G., & Shinoto, M. (2022). Human-in-the-loop development of spatially adaptive ground point filtering pipelines: an archaeological case study. Archaeological Prospection, 29(4), 503–524. http://doi.org/10.1002/arp.1873
  • 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
  • Frank, E., & Aeschbach, N. (2022). Taugt BNE als Schulfach? Pädagogik, 11(678), 40–41.
  • Herzog, M., Anders, K., Höfle, B., & Bubenzer, O. (2022). Capturing complex star dune dynamics: repeated highly accurate surveys combining multitemporal 3D topographic measurements and local wind data. Earth Surface Processes and Landforms, 47(7), 2726–2739. http://doi.org/10.1002/esp.5420
  • Herzog, M., Anders, K., Höfle, B., & Bubenzer, O. (2022). Capturing complex star dune dynamics: repeated highly accurate surveys combining multitemporal 3D topographic measurements and local wind data [data]. http://doi.org/10.11588/data/ZAMGCL
  • Höfle, B. (2022). Unter Beobachtung: Umweltmodelle in 4D. Ruperto Carola, 19, 42–49. http://doi.org/10.17885/heiup.ruca.2022.19.24506
  • Höfle, B. (2022). Virtual laser scanning: simulation of synthetic 3D/4D point clouds. In Sensing mountains (pp. 32–34).
  • Hulskemper, D., Anders, K., Antolínez, J. A. Á., Kuschnerus, M., Höfle, B., & Lindenbergh, R. (2022). Characterisation of morphological surface activities derived from near-continuous terrestrial LIDAR time series. In Optical 3D Metrology (O3DM). The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (Vol. 48–2/W2–2022, pp. 53–60). http://doi.org/10.5194/isprs-archives-XLVIII-2-W2-2022-53-2022
  • Innsbruck Summer School of Alpine Research (2022, Sölden-Obergurgl). (2022). Sensing mountains: Innsbruck Summer School of Alpine Research 2022 - close range sensing techniques in alpine terrain.
  • Jungmann, M., Vardag, S. N., Kutzner, F., Keppler, F., Schmidt, M., Aeschbach, N., Gerhard, U., Zipf, A., Lautenbach, S., Siegmund, A., Goeschl, T., & Butz, A. (2022). Zooming-in for climate action: hyperlocal greenhouse gas data for mitigation action? Climate Action, 1, 1–8. http://doi.org/10.1007/s44168-022-00007-4
  • Platt, U., Frank, N., Aeschbach, N., Harnisch, S., & Wurster, S. (2022). Klimawandel. http://doi.org/10.11588/heidok.00031288
  • 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).
  • 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
  • Vos, S., Anders, K., Kuschnerus, M., Lindenbergh, R., Höfle, B., Aarninkhof, S., & de Vries, S. (2022). A high-resolution 4D terrestrial laser scan dataset of the Kijkduin beach-dune system, the Netherlands. Scientific Data, 9, 1–11. http://doi.org/10.1038/s41597-022-01291-9
  • 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. 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., 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. 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. (2022). Reducing uncertainty in the analysis of 4D topographic point clouds acquired by terrestrial laser scanning:  = Verringerung von Unsicherheiten in der Analyse von 4D Punktwolken aus terrestrischem Laserscanning.
  • Winiwarter, L., Anders, K., Czerwonka-Schröder, D., & Höfle, B. (2022). Virtual laser scanning of dynamic scenes created from real 4D topographic point cloud data. In XXIV ISPRS Congress “Imaging today, foreseeing tomorrow”, Commission II. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (Vol. V–2–2022, pp. 79–86). http://doi.org/10.5194/isprs-annals-V-2-2022-79-2022
  • 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
  • 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
  • Zahs, V., Winiwarter, L., Anders, K., Williams, J. G., Rutzinger, M., & Höfle, B. (2022). Correspondence-driven plane-based M3C2 for lower uncertainty in 3D topographic change quantification. ISPRS Journal of Photogrammetry and Remote Sensing, 183, 541–559. http://doi.org/10.1016/j.isprsjprs.2021.11.018
  • Zahs, V., Winiwarter, L., Anders, K., Bremer, M., Rutzinger, M., Potůčková, M., & Höfle, B. (2022). Evaluation of UAV-borne photogrammetry and UAV-borne laser scanning for 3D topographic change analysis of an active rock glacier. In EGU General Assembly 2022 (pp. 1–2). http://doi.org/10.5194/egusphere-egu22-2513
  • Zahs, V., Winiwarter, L., Anders, K., Bremer, M., Rutzinger, M., Potůčková, M., & Höfle, B. (2022). Evaluation of UAV-borne photogrammetry and laser scanning for 3d topographic change analysis at an active rock glacier. In XXIV ISPRS Congress “Imaging today, foreseeing tomorrow”, Commission II. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (Vol. 43–B2–2022, pp. 1109–1116). http://doi.org/10.5194/isprs-archives-XLIII-B2-2022-1109-2022

2021

  • Aeschbach, N. (2021). Innovationsschub für das „KlimaWandelWissen“: vom analogen Lehren zum digitalen Lernen in der Geographie. Heidelberg inspirations for innovative teaching, 2, 119–145. http://doi.org/10.11588/hint.2021.1.84510
  • Anders, K. (2021). 4D change analysis to extract natural surface changes from near-continuous LiDAR time series of dynamic landscapes.
  • Anders, K., Winiwarter, L., Mara, H., Lindenbergh, R., Vos, S., & Höfle, B. (2021). Fully automatic spatiotemporal segmentation of 3D LiDAR time series for the extraction of natural surface changes [Source Code, Validation Material and Validation Results]. http://doi.org/10.11588/data/4HJHAA
  • Anders, K., Winiwarter, L., Mara, H., Lindenbergh, R., Vos, S., & Höfle, B. (2021). Fully automatic spatiotemporal segmentation of 3D LiDAR time series for the extraction of natural surface changes. ISPRS Journal of Photogrammetry and Remote Sensing, 173, 297–308. http://doi.org/10.1016/j.isprsjprs.2021.01.015
  • Anders, K., Winiwarter, L., & Höfle, B. (2021). Improving change analysis from near-continuous 3D time series by considering full temporal information [data and source code]. http://doi.org/10.11588/data/1L11SQ
  • Anders, K., Winiwarter, L., Mara, H., Lindenbergh, R. C., Vos, S., & Höfle, B. (2021). Influence of spatial and temporal resolution on time series-based coastal surface change analysis using hourly terrestrial laser scans. In XXIV ISPRS Congress “Imaging today, foreseeing tomorrow”, Commission II. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (Vol. V–2–2021, pp. 137–144). http://doi.org/10.5194/isprs-annals-V-2-2021-137-2021
  • Castillo, C., Pérez, R., & Vallejo Orti, M. (2021). The impact of recent gully filling practices on wheat yield at the Campiña landscape in Southern Spain. Soil & Tillage Research, 212, 1–13. http://doi.org/10.1016/j.still.2021.105041
  • Eberl, J., Zahs, V., Ullah, T., Schorlemmer, D., Nievas, C., Glock, K., Meyer, F., Mey, H., Stempniewski, L., Herfort, B., Zipf, A., & Höfle, B. (2021). Innovative methods for earthquake damage detection and classification using airborne observation of critical infrastructures (project LOKI). In EGU General Assembly 2021 (pp. 1–2). http://doi.org/10.5194/egusphere-egu21-2712
  • Erickson, A., Kumar, S. V., Hudson, D. l, Stamnes, S., Puttonen, E., Junttila, S., Pirk, S., Höfle, B., Chrostowski, L., Eitel, J., & Calders, K. (2021). Hypersurface Observation Network (Hyperon): what it is and why we need it. In AGU Fall Meeting 2021 (p. 1).
  • 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
  • Klonner, C., Usón, T., Aeschbach, N., & Höfle, B. (2021). Participatory mapping and visualization of local knowledge: an example from Eberbach, Germany. International Journal of Disaster Risk Science, 12(1), 56–71. http://doi.org/10.1007/s13753-020-00312-8
  • Rutzinger, M., Albrechtova, J., Anders, K., Červená, L., Gryguc, K., Höfle, B., Kupková, L., Lhotáková, Z., Marcinkowska-Ochtyra, A., Mayr, A., Ochtyra, A., & Potůčková, M. (2021). E-learning on time-series analysis in remote sensing and geoinformatics for understanding human-environment interactions: a concept. In Digital lehren und lernen.
  • Ulrich, V., Zahs, V., Anders, K., Hecht, S., & Höfle, B. (2021). Measurement of rock glacier surface change over different timescales using terrestrial laser scanning point clouds. Earth Surface Dynamics, 9(1), 19–28. http://doi.org/10.5194/esurf-9-19-2021
  • Vallejo Orti, M., Höfle, B., Bubenzer, O., & Negussie, K. (2021). Identifying and describing the impact of gully erosion in the livelihoods and properties of traditional Himba communities in Kaokoland (Namibia) as a driver of regional migration. In AGU Fall Meeting 2021 (p. 1). http://doi.org/10.1002/essoar.10509589.1
  • Vallejo Orti, M., Castillo, C., Bubenzer, O., & Höfle, B. (2021). Spatio-temporal assessment of gully activity in Namibia using Sentinel-1 SAR and Tandem-X DEM products as an instrument for land degradation neutrality. In AGU Fall Meeting 2021.
  • Vos, S., Anders, K., Kuschnerus, M., Lindenbergh, R., Höfle, B., Aarninkhof, S., & de Vries, S. (2021). A six month high resolution 4D geospatial stationiary laser scan dataset of the Kijkduin beach dune system, The Netherlands. http://doi.org/10.1594/PANGAEA.934058
  • 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
  • Winiwarter, L., Anders, K., & Höfle, B. (2021). M3C2-EP: pushing the limits of 3D topographic point cloud change detection by error propagation. ISPRS Journal of Photogrammetry and Remote Sensing, 178, 240–258. http://doi.org/10.1016/j.isprsjprs.2021.06.011
  • Zahs, V., Herfort, B., Eberl, J., Ullah, T., Anders, K., Stempniewski, L., Zipf, A., & Höfle, B. (2021). 3D point cloud-based assessment of detailed building damage through a combination of machine learning, crowdsourcing and earthquake engineering. In EGU General Assembly 2021 (pp. 1–2). http://doi.org/10.5194/egusphere-egu21-1304
  • Zahs, V., Winiwarter, L., Anders, K., Williams, J. G., Rutzinger, M., Bremer, M., & Höfle, B. (2021). Correspondence-driven plane-based M3C2 for quantification of 3D topographic change with lower uncertainty [data and source code]. http://doi.org/10.11588/data/TGSVUI
  • Vallejo Orti, M., Winiwarter, L., Corral-Pazos-de-Provens, E., Williams, J. G., Bubenzer, O., & Höfle, B. (2021). Use of TanDEM-X and Sentinel products to derive gully activity maps in Kunene Region (Namibia) based on automatic iterative random forest approach. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14, 607–623. http://doi.org/10.1109/JSTARS.2020.3040284
  • Williams, J. G., Anders, K., Winiwarter, L., Zahs, V., & Höfle, B. (2021). Multi-directional change detection between point clouds. ISPRS Journal of Photogrammetry and Remote Sensing, 172, 95–113. http://doi.org/10.1016/j.isprsjprs.2020.12.002

2020

  • Aeschbach, N. (2020). Eine neue Art von Nähe: Impulse für mehr Nachhaltigkeit im internationalen Wissenschaftsbetrieb. In Corona sustainability compass (p. 1).
  • Anders, K., Winiwarter, L., Lindenbergh, R., Williams, J. G., Vos, S., & Höfle, B. (2020). 4D objects-by-change: spatiotemporal segmentation of geomorphic surface change from LiDAR time series. ISPRS Journal of Photogrammetry and Remote Sensing, 159, 352–363. http://doi.org/10.1016/j.isprsjprs.2019.11.025
  • Anders, K., Winiwarter, L., Mara, H., Lindenbergh, R., Vos, S., & Höfle, B. (2020). Einfluss der zeitlichen Auflösung auf die raumzeitliche Segmentierung geomorphologischer Änderungsprozesse in 3D-Punktwolken. In 40. Wissenschaftlich-Technische Jahrestagung der DGPF, 4.-6. März 2020 in Stuttgart. Publikationen der Deutschen Gesellschaft für Photogrammetrie, Fernerkundung und Geoinformation e.V. (Vol. 29, pp. 312–316). http://doi.org/10.24407/KXP:1694480429
  • Anders, K., Marx, S., Boike, J., Herfort, B., Wilcox, E. J., Langer, M., Marsh, P., & Höfle, B. (2020). Multitemporal terrestrial laser scanning point clouds for thaw subsidence observation at Arctic permafrost monitoring sites. Earth Surface Processes and Landforms, 45(7), 1589–1600. http://doi.org/10.1002/esp.4833
  • Backes, D., Smigaj, M., Schimka, M., Zahs, V., Grznárová, A., & Scaioni, M. (2020). River morphology monitoring of a small-scale Alpine riverbed using drone phtogrammetry and LIDAR. In XXIV ISPRS Congress, Commission II. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (Vol. volume XLIII-B2–2020, pp. 1017–1024). http://doi.org/10.5194/isprs-archives-XLIII-B2-2020-1017-2020
  • Bechtold, S., & Höfle, B. (2020). VOSTOK - the Voxel Octree Solar Toolkit. http://doi.org/10.11588/data/QNA02B
  • Pfeiffer, T. (Ed.). (2020). Der Beginn einer großen Ära: Mit- und Gegeneinander: Geist und Software. Ruperto Carola, 16, 6–15. http://doi.org/10.17885/heiup.ruca.2020.16.24184
  • Bruggisser, M., Hollaus, M., Winiwarter, L., Otepka, J., Wang, D., Höfle, B., & Pfeifer, N. (2020). Impacts of acquisition patterns on the robustness and accuracy of tree models derived from UAV LiDAR for forest dynamic studies (Abstract of the “3D Tree Models for Forest Dynamics”, 9th - 10th January 2020 Helsinki, Finland). http://doi.org/10.11588/heidok.00037194
  • Foshag, K., Aeschbach, N., Höfle, B., Winkler, R., Siegmund, A., & Aeschbach, W. (2020). Viability of public spaces in cities under increasing heat: a transdisciplinary approach. Sustainable Cities and Society, 59, 1–10. http://doi.org/10.1016/j.scs.2020.102215
  • Herfort, B., Anders, K., Marx, S., Eberlein, S., & Höfle, B. (2020). 3D micro-mapping of subsidence stations [source code and data]. http://doi.org/10.11588/data/OU8YA1
  • Lorei, H., Höfle, B., & Westerholt, R. (2020). Spatial structure as an element of motivation in location-based games. In 40. Wissenschaftlich-Technische Jahrestagung der DGPF, 4.-6. März 2020 in Stuttgart. Publikationen der Deutschen Gesellschaft für Photogrammetrie, Fernerkundung und Geoinformation e.V. (Vol. 29, pp. 290–298). http://doi.org/10.24407/KXP:1694478424
  • Rutzinger, M., Anders, K., Bremer, M., Höfle, B., Lindenbergh, R., Oude Elberink, S., Pirotti, F., Scaioni, M., & Zieher, T. (2020). Training in innovative technologies for close-range sensing in Alpine terraine. In XXIV ISPRS Congress, Commission V and and Youth Forum. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (3rd ed., Vol. 43,B5 (2020), pp. 243–250). http://doi.org/10.5194/isprs-archives-XLIII-B5-2020-243-2020
  • Ulrich, V., Williams, J. G., Zahs, V., Anders, K., Hecht, S., & Höfle, B. (2020). Disaggregating surface change mechanisms of a rock glacier using terrestrial laser scanning point clouds acquired at different time scales. Earth Surface Dynamics Discussions, 1–15. http://doi.org/10.5194/esurf-2020-55
  • Westerholt, R., Lorei, H., & Höfle, B. (2020). Behavioural effects of spatially structured scoring systems in location-based serious games: a case study in the context of OpenStreetMap. ISPRS International Journal of Geo-Information, 9(2), 1–27. http://doi.org/10.3390/ijgi9020129
  • Winiwarter, L., Anders, K., & Höfle, B. (2020). Herausforderungen in der Fehlerfortpflanzung von Laserscandaten für multitemporale Analysen zur verbesserten Quantifizierung des Level of Detection. In 40. Wissenschaftlich-Technische Jahrestagung der DGPF, 4.-6. März 2020 in Stuttgart. Publikationen der Deutschen Gesellschaft für Photogrammetrie, Fernerkundung und Geoinformation e.V. (Vol. 29, pp. 373–380). http://doi.org/10.24407/KXP:1694488993
  • Winiwarter, L., Anders, K., Wujanz, D., & Höfle, B. (2020). Influence of ranging uncertainty of terrestrial laser scanning on change detection in topographic 3D point clouds. In XXIV ISPRS Congress, Commission II. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (Vol. volume XLIII-B2–2020, pp. 789–796). http://doi.org/10.5194/isprs-annals-V-2-2020-789-2020
  • Bürck, S. (2020). Remote sensing analyses for open pit mine area computation: a comparative study on the implementation of multi-spectral classifications and crowdsourcing to compute the spatial extent of four open-pit mines in Indonesia, Australia, Canada and Brazil.

2019

  • Aeschbach, N., & Foshag, K. (2019). Zusammen Wirken: Die große Transformation. Ruperto Carola, 15, 52–61. http://doi.org/10.17885/heiup.ruca.2019.15.24095
  • Anders, K., Lindenbergh, R. C., Vos, S., Mara, H., de Vries, S., & Höfle, B. (2019). High-frequency 3D geomorphic observation using hourly terrestrial laser scanning data of a sandy beach. In ISPRS Geospatial Week 2019. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (Vol. 4, 2, W5 (2019), pp. 317–324). http://doi.org/10.5194/isprs-annals-IV-2-W5-317-2019
  • Antonova, S., Anders, K., Beck, I., Boike, J., Höfle, B., & Marx, S. (2019). Digital elevation model from raw CoSSC TanDEM-X data (2015) in the area of Trail Valley Creek, Northwest Territories, Canada [dataset]. http://doi.org/10.1594/PANGAEA.902503
  • Antonova, S., Höfle, B., Anders, K., & Marx, S. (2019). Estimating tree height from TanDEM-X data at the northwestern Canadian treeline. Remote Sensing of Environment, 231. http://doi.org/10.1016/j.rse.2019.111251
  • Antonova, S., Beck, I., Marx, S., Anders, K., Boike, J., & Höfle, B. (2019). Vorhabensbezeichnung: PermaSAR: Entwicklung einer Methode zur Detektion von Subsidenz in Permafrostgebieten mit D-InSAR : Schlussbericht : Laufzeit des Vorhabens: 01.04.2015-31.03.2019. http://doi.org/10.2314/KXP:167848864X
  • Boike, J., & Anders, K. (2019). A 16-year record (2002-2017) of permafrost, active-layer, and meteorological conditions at the Samoylov Island Arctic permafrost research site, Lena River delta, northern Siberia: an opportunity to validate remote-sensing data and land surface, snow, and permafrost models. Earth System Science Data, 11(1), 261–299. http://doi.org/10.5194/essd-11-261-2019
  • Chu, H.-J., Chen, Y.-C., Ali, M. Z., & Höfle, B. (2019). Multi-parameter relief map from high-resolution DEMs: a case study of mudstone badland. International Journal of Environmental Research and Public Health, 16(7). http://doi.org/10.3390/ijerph16071109
  • Ghamisi, P., Rasti, B., Yokoya, N., Wang, Q., Höfle, B., Bruzzone, L., Bovolo, F., Chi, M., Anders, K., Gloaguen, R., Atkinson, P. M., & Jón Atli Benediktsson. (2019). Multisource and multitemporal data fusion in remote sensing: a comprehensive review of the state of the art. IEEE Geoscience and Remote Sensing Magazine, 7(1), 6–39. http://doi.org/10.1109/MGRS.2018.2890023
  • Herzog, M., Anders, K., & Höfle, B. (2019). Multi-method investigation of star dunes in Morocco (Erg Chebbi): topography, stratigraphy and implications for OSL-sampling. Geophysical Research Abstracts, 21.
  • Höfle, B., Anders, K., & Winiwarter, L. (2019). 3D micro-mapping: crowdsourcing to support image and 3D point cloud analysis. In Photogrammetric Week 2019 (pp. 1–4).
  • Höfle, B., & Anders, K. (2019). Auto3Dscapes: autonomous 3D earth observation of dynamic landscapes. HGG-Journal, 33.2018/19, 54–57.
  • Höfle, B., Anders, K., Antonova, S., Boike, J., & Marx, S. (2019). PermaSAR: Entwicklung einer Methode zur Detektion von Subsidence in Permafrostgebieten mit D-InSAR. HGG-Journal, 33.2018/19, 57–60.
  • Höfle, B. (2019). Virtual laser scanning: simulation of synthetic 3D point clouds. In Close range sensing techniques in Alpine terrain (pp. 14–15).
  • Kumar, A., Anders, K., Winiwarter, L., & Höfle, B. (2019). Feature relevance analysis for 3D point cloud classification using deep learning. In ISPRS Geospatial Week 2019. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (Vol. 4, 2, W5 (2019), pp. 317–324). http://doi.org/10.5194/isprs-annals-IV-2-W5-373-2019
  • Pfeiffer, J., Wujanz, D., Zieher, T., Rutzinger, M., Scaioni, M., Höfle, B., Lindenbergh, R., Oude Elberink, S., Pirotti, F., Bremer, M., & Hämmerle, M. (2019). Terrestrial laser scanning data of the Nesslrinna landslide close to Obergurgl, Austria acquired during the Innsbruck Summer School of Alpine Research [dataset]. http://doi.org/10.1594/PANGAEA.901293
  • Pfeiffer, J., Höfle, B., Hämmerle, M., Zahs, V., Rutzinger, M., Scaioni, M., Lindenbergh, R., Oude Elberink, S., Pirotti, F., Bremer, M., Wujanz, D., & Zieher, T. (2019). Terrestrial laser scanning data of the Äußeres Hochebenkar rock glacier close to Obergurgl, Austria acquired during the Innsbruck Summer School of Alpine Research [dataset]. http://doi.org/10.1594/PANGAEA.902042
  • Pfeiffer, J., Scaioni, M., Rutzinger, M., Adams, M., Graf, A., Sotier, B., Höfle, B., Lindenbergh, R., Oude Elberink, S., Pirotti, F., Bremer, M., Zieher, T., Hämmerle, M., & Wujanz, D. (2019). Terrestrial and unmanned aerial vehicle images and point clouds of the Rotmoos valley near Obergurgl, Austria with coordinates of corresponding ground control points acquired during the Innsbruck Summer School of Alpine Research [dataset]. http://doi.org/10.1594/PANGAEA.898939
  • Ramírez-Núñez, C., Cyphers, A., Parrot, J.-F., & Höfle, B. (2019). Multidirectional interpolation of LiDAR data from Southern Veracruz, Mexico: IMPLICATIONS FOR EARLY OLMEC SUBSISTENCE. Ancient Mesoamerica, 30(3), 385–398. http://doi.org/10.1017/S0956536118000263
  • Schäfer, J., Faßnacht, F. E., Höfle, B., & Weiser, H. (2019). Das SYSSIFOSS-Projekt: synthetische 3D-Fernerkundungsdaten für verbesserte Waldinventurmodelle. http://doi.org/10.11588/heidok.00037177
  • Vallejo Orti, M., Negussie, K., Corral-Pazos-de-Provens, E., Höfle, B., & Bubenzer, O. (2019). Comparison of three algorithms for the evaluation of TanDEM-X data for gully detection in Krumhuk farm (Namibia). Remote Sensing, 11(11), 1–22. http://doi.org/10.3390/rs11111327
  • Williams, J. G., Rosser, N. J., Hardy, R. J., & Brain, M. J. (2019). The importance of monitoring interval for rockfall magnitude-frequency estimation. Journal of Geophysical Research, 124(12), 2841–2853. http://doi.org/10.1029/2019JF005225
  • Winiwarter, L., Mandlburger, G., Schmohl, S., & Pfeifer, N. (2019). Classification of ALS point clouds using end-to-end deep learning. Journal of Photogrammetry, Remote Sensing and Geoinformation Science, 87(3), 75–90. http://doi.org/10.1007/s41064-019-00073-0
  • Winiwarter, L., & Mandlburger, G. (2019). Classification of 3D point clouds using deep neural networks. In Dreiländertagung OVG - DGPF - SGPF, Photogrammetrie - Fernerkundung - Geoinformation - 2019. Publikationen der Deutschen Gesellschaft für Photogrammetrie, Fernerkundung und Geoinformation e.V. (Vol. 28, pp. 663–674).
  • Zahs, V., Hämmerle, M., Anders, K., Hecht, S., Sailer, R., Rutzinger, M., Williams, J. G., & Höfle, B. (2019). Multi-temporal 3D point cloud-based quantification and analysis of geomorphological activity at an alpine rock glacier using airborne and terrestrial LiDAR. Permafrost and Periglacial Processes, 30(3), 222–238. http://doi.org/10.1002/ppp.2004
  • Eberlein, S., Anders, K., & Höfle, B. (2019). Kontinuierliches Schneedecken-Monitoring mittels Zeitserien von 3D-Punktwolken aus automatischem terrestrischem Laserscanning. Wissenschaftliche Resultate ..., 66–69.

2018

  • Anders, K., Antonova, S., Boike, J., Gehrmann, M., Hartmann, J., Helm, V., Höfle, B., Marsh, P., Marx, S., & Sachs, T. (2018). Airborne Laser Scanning (ALS) point clouds of Trail Valley Creek, NWT, Canada (2016). http://doi.org/10.1594/PANGAEA.894884
  • Anders, K., Antonova, S., Beck, I., Boike, J., Höfle, B., Langer, M., Marsh, P., & Marx, S. (2018). Multisensor ground-based measurements of the permafrost thaw subsidence in the Trail Valley Creek, NWT, Canada, 2015-2016. http://doi.org/10.1594/PANGAEA.888566
  • Boike, J., Ebenhoch, S., Höfle, B., Westermann, S., Maturilli, M., Stern, L., Juszak, I., & Roth, K. (2018). Warming and thawing trends of permafrost at high Arctic site (Bayelva, Spitsbergen) 1998-2017. Geophysical Research Abstracts, 20, 1. http://doi.org/10.5194/essd-2017-100
  • Crommelinck, S., Höfle, B., Koeva, M. N., Yang, M. Y., & Vosselman, G. (2018). Interactive cadastral boundary delineation from UAV data. In ISPRS TC II Mid-term Symposium “Towards Photogrammetry 2020.” ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (Vol. 4, 2 (2018), pp. 81–88). http://doi.org/10.5194/isprs-annals-IV-2-81-2018
  • Drews, T., Miernik, G., Anders, K., Höfle, B., Profe, J., & Bechstädt, T. (2018). Validation of fracture data recognition in rock masses by automated plane detection in 3D point clouds. International Journal of Rock Mechanics and Mining Sciences, 109, 19–31. http://doi.org/10.1016/j.ijrmms.2018.06.023
  • Hämmerle, M., & Höfle, B. (2018). Introduction to LiDAR in geoarchaeology from a technological perspective. In Digital geoarchaeology (pp. 167–182). http://doi.org/10.1007/978-3-319-25316-9_11
  • Hämmerle, M., & Höfle, B. (2018). Mobile low-cost 3D camera maize crop height measurements under field conditions. Precision Agriculture, 19(4), 630–647. http://doi.org/10.1007/s11119-017-9544-3
  • Herfort, B., Höfle, B., & Klonner, C. (2018). 3D micro-mapping: towards assessing the quality of crowdsourcing to support 3D point cloud analysis. ISPRS Journal of Photogrammetry and Remote Sensing, 137, 73–83. http://doi.org/10.1016/j.isprsjprs.2018.01.009
  • Horn, L., & Aeschbach, N. (2018). Nachhaltiger Tourismus im deutschen Teil des Biosphärenreservats Pfälzerwald-Nordvogesen: Entwicklung eines Indikatorenkatalogs. Annales scientifiques de la réserve de biosphère transfrontalière Vosges du Nord - Pfälzerwald, 19.2017/18, 90–104.
  • Klonner, C., Usón, T., Marx, S., Mocnik, F.-B., & Höfle, B. (2018). Capturing flood risk perception via sketch maps. ISPRS International Journal of Geo-Information, 7(9). http://doi.org/10.3390/ijgi7090359
  • Koma, Z., Höfle, B., König, K., Lukač, N., Hämmerle, M., Kovács, J., & Folly-Ritvay, Z. (2018). Virtual laser scanning for the analysis of platform-related effects in urban tree species classification. http://doi.org/10.11588/heidok.00037175
  • Maack Raun, K. H., Pfeiffer, M., & Höfle, B. (2018). Visual detection and interpretation of cultural remnants on the Königstuhl hillside in Heidelberg using airborne and terrestrial LiDAR Data. In Digital geoarchaeology (pp. 201–212). http://doi.org/10.1007/978-3-319-25316-9_13
  • Mrazek, J., Siegmund, A., Fischer, C., & Aeschbach, N. (2018). „Nachhaltigkeit lehren lernen“: innovative interdisziplinäre Lehr-Lern-Formate in der Lehramtsausbildung an Pädagogischer Hochschule und Universität Heidelberg. In Nachhaltigkeit in der Lehre (pp. 327–347). http://doi.org/10.1007/978-3-662-56386-1_20
  • Ritter, S. M., Isenbeck-Schröter, M., Schröder-Ritzrau, A., Scholz, C., Rheinberger, S., Höfle, B., & Frank, N. (2018). Trace element partitioning in fluvial tufa reveals variable portions of biologically influenced calcite precipitation. Geochimica et Cosmochimica Acta, 225, 176–191. http://doi.org/10.1016/j.gca.2018.01.027
  • Roelens, J., Höfle, B., Dondeyne, S., Orshoven, J. van, & Diels, J. (2018). Drainage ditch extraction from airborne LiDAR point clouds. ISPRS Journal of Photogrammetry and Remote Sensing, 146, 409–420. http://doi.org/10.1016/j.isprsjprs.2018.10.014
  • Rutzinger, M., Bremer, M., Höfle, B., Hämmerle, M., Lindenbergh, R., Oude Elberink, S., Pirotti, F., Scaioni, M., Wujanz, D., & Zieher, T. (2018). Training in innovative technologies for close-range sensing in Alpine terrain. In ISPRS TC II Mid-term Symposium “Towards Photogrammetry 2020.” ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (Vol. 4, 2 (2018), pp. 239–246). http://doi.org/10.5194/isprs-annals-IV-2-239-2018
  • Scaioni, M., Höfle, B., Baungarten Kersting, A. P., Barazzetti, L., Previtali, M., & Wujanz, D. (2018). Methods from information extraction from LiDAR intensity data and multispectral LiDAR technology. In ISPRS TC III Mid-term Symposium “Developments, Technologies and Applications in Remote Sensing.” The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (Vol. 42, 3 (2018), pp. 1503–1510). http://doi.org/10.5194/isprs-archives-XLII-3-1503-2018
  • Höfle, B., Klonner, C., Marx, S., Usón, T., & Hölscher, M. (2018). Neogeographie einer digitalen Erde: Geo-Informatik als methodische Brücke in der interdisziplinären Naturgefahrenanalyse (NEOHAZ). Jahrbuch ... / Heidelberger Akademie der Wissenschaften, 306–308.

2017

  • Aeschbach, N., Frischknecht, P. M., & Stauffacher, M. (2017). Umweltwissenschaften an der Universität Heidelberg und der ETH Zürich - zwei unterschiedliche Modelle. Gaia, 26(4), 349–351. http://doi.org/10.14512/gaia.26.4.12
  • Bechtold, S., Hämmerle, M., & Höfle, B. (2017). The Heidelberg LiDAR Operations Simulator HELIOS as a supporting tool for capturing and preserving cultural heritage (Zusammenfassung). http://doi.org/10.11588/heidok.00037172
  • Chu, H.-J., Yang, M.-S., & Höfle, B. (2017). Historic low wall detection via topographic parameter images derived from fine-resolution DEM. ISPRS International Journal of Geo-Information, 6(11), 1–13. http://doi.org/10.3390/ijgi6110346
  • Ghamisi, P., Höfle, B., & Zhu, X. (2017). Hyperspectral and LiDAR data fusion using extinction profiles and deep convolutional neural network. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 10(6), 3011–3024. http://doi.org/10.1109/JSTARS.2016.2634863
  • Ghamisi, P., & Höfle, B. (2017). LiDAR data classification using extinction profiles and a composite kernel support vector machine. IEEE Geoscience and Remote Sensing Letters, 14(5), 659–663. http://doi.org/10.1109/LGRS.2017.2669304
  • Griesbaum, L., Marx, S., & Höfle, B. (2017). Direct local building inundation depth determination in 3-D point clouds generated from user-generated flood images. Natural Hazards and Earth System Sciences Discussions, 17(7), 1191–1201. http://doi.org/10.5194/nhess-17-1191-2017
  • Hämmerle, M., Anders, K., & Höfle, B. (2017). HELIOS full-waveform laser scanning simulation framework: source code, precompiled version, example files for study of understory tree height scanning and respective output. http://doi.org/10.11588/data/10101
  • Hämmerle, M., Anders, K., & Höfle, B. (2017). Simulating various terrestrial and UAV LiDAR scanning configurations for understory forest structure modelling. In ISPRS Geospatial Week 2017. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (Vol. IV–2/W4, 2017, pp. 59–65). http://doi.org/10.5194/isprs-annals-IV-2-W4-59-2017
  • Höfle, B., Herfort, B., Kaibel, M., Eberlein, S., & Hillen, F. (2017). Citizen Science in Schulen: Entwicklung von 3D-MicroMapping zur Klassifikation von 3D-Punktwolken (Zusammenfassung des Beitrags). http://doi.org/10.11588/heidok.00037171
  • Höfle, B. (2017). Messen und Verstehen der Welt durch die Geoinformatik am Beispiel von Naturgefahren. In Messen und Verstehen in der Wissenschaft (pp. 207–223). http://doi.org/10.1007/978-3-658-18354-7_14
  • Klonner, C., Eckle, M., Usón, T., & Höfle, B. (2017). Quality improvement of remotely volunteered geographic information via country-specific mapping instructions. http://doi.org/10.11588/heidok.00037174
  • Klopfer, F., Hämmerle, M., & Höfle, B. (2017). Assessing the potential of a low-cost 3-D sensor in shallow-water bathymetry. IEEE Geoscience and Remote Sensing Letters, 14(8), 1388–1392. http://doi.org/10.1109/LGRS.2017.2713991
  • Lin, T.-P., Hämmerle, M., Höfle, B., & Bechtold, S. (2017). Multiscale analysis and reduction measures of urban carbon dioxide budget based on building energy consumption. Energy and Buildings, 153, 356–367. http://doi.org/10.1016/j.enbuild.2017.07.084
  • Marx, S., Anders, K., Antonova, S., Beck, I., Boike, J., Marsh, P., Langer, M., & Höfle, B. (2017). Terrestrial laser scanning for quantifying small-scale vertical movements of the ground surface in Artic permafrost regions. Earth Surface Dynamics Discussions, 1–31. http://doi.org/10.5194/esurf-2017-49
  • Profe, J., & Höfle, B. (2017). Detectability and geomorphometry of tufa barrages in a small forested karstic river using airborne LiDAR topo-bathymetry. Geophysical Research Abstracts, 19.
  • Usón, T., Klonner, C., Marx, S., Hölscher, M., & Höfle, B. (2017). OSM critical infrastructure in Chile: analysing the relation between OSM data completeness and territorial vulnerability (abstract). http://doi.org/10.11588/heidok.00037170
  • Höfle, B., Klonner, C., Marx, S., Usón, T., & Hölscher, M. (2017). Neogeographie einer digitalen Erde: Geo-Informatik als methodische Brücke in der interdisziplinären Naturgefahrenanalyse (NEOHAZ). Jahrbuch ... / Heidelberger Akademie der Wissenschaften, 237–240.

2016

  • Anders, K., Hämmerle, M., Miernik, G., Drews, T., Escalona, A., Townsend, C., & Höfle, B. (2016). 3D geological outcrop characterization: automatic detection of 3D planes (azimuth and DIP) using LiDAR point clouds. In XXIII ISPRS Congress, Commission III, 12-19 July 2016, Prague, Czech Republic. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (Vol. 3,3, pp. 105–112). http://doi.org/10.5194/isprs-annals-III-5-105-2016
  • Bechtold, S., & Höfle, B. (2016). HELIOS: a multi-purpose LiDAR simulation framework for research, planning and training of laser scanning operations with airborne, ground-based mobile stationary platforms. In XXIII ISPRS Congress, Commission III, 12-19 July 2016, Prague, Czech Republic. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (Vol. 3,3, pp. 161–168). http://doi.org/10.5194/isprs-annals-III-3-161-2016
  • Bechtold, S., Hämmerle, M., & Höfle, B. (2016). Simulated full-waveform laser scanning of outcrops for development of point cloud analysis algorithms and survey planning: an application of the HELIOS lidar simulation framework. In 2nd Virtual Geoscience Conference 2016 (pp. 57–58).
  • Beck, I., Boike, J., Marx, S., Langer, M., & Höfle, B. (2016). PermaSAR - improving TanDEM-X D-InSAR techniques for the detection of small-scale vertical movements in arctic permafrost regions. In 11th International Conference on Permafrost (p. 862).
  • Crommelinck, S., & Höfle, B. (2016). Simulating an autonomously operating low-cost static terrestrial LiDAR for multitemporal maize crop height measurements. Remote Sensing, 8(3). http://doi.org/10.3390/rs8030205
  • Eitel, B., Aeschbach, W., Aeschbach, N., Meier, T., Funke, J., Goeschl, T., Harnisch, S., Mager, U., & Siegmund, A. (2016). Heidelberg Center for the Environment (HCE) - zentrale Aktivitäten. http://doi.org/10.11588/heidok.00022049
  • Eitel, J., & Höfle, B. (2016). Beyond 3-D: the new spectrum of lidar applications for earth and ecological sciences. Remote Sensing of Environment, 186, 372–392. http://doi.org/10.1016/j.rse.2016.08.018
  • Hämmerle, M., & Höfle, B. (2016). Direct derivation of maize plant and crop height from low-cost time-of-flight camera measurements. Plant Methods, 12(1), 1–13. http://doi.org/10.1186/s13007-016-0150-6
  • Hämmerle, M., Schütt, F., & Höfle, B. (2016). Terrestrial and unmanned aerial system imagery for deriving photogrammetric three-dimensional point clouds and volume models of mass wasting sites. Journal of Applied Remote Sensing, 10(2). http://doi.org/10.1117/1.JRS.10.026029
  • Hillen, F., Gerdes, M., Herfort, B., & Höfle, B. (2016). 3D-MicroMapping: crowdsourcing zur Klassifikation von 3D-Geodaten. AGIT, 2, 156–161.
  • Höfle, B., Canli, E., Schmitz, E., Crommelinck, S., Hoffmeister, D., & Glade, T. (2016). 4D near real-time environmental monitoring using highly temporal LiDAR. Geophysical Research Abstracts, 18, 1.
  • Höfle, B., & Marx, S. (2016). Partizipative 3D-Datenerfassung mit Smartphones in der Landwirtschaft: ein Vergleich mit terrestrischem Laserscanning. http://doi.org/10.11588/heidok.00037166
  • Klonner, C., Marx, S., Usón, T., & Höfle, B. (2016). Risk awareness maps of urban flooding via OSM field papers: case study Santiago de Chile. In ISCRAM 2016 Conference proceedings (pp. [1–13]).
  • Klonner, C., Marx, S., Usón, T., Albuquerque, J. P. de, & Höfle, B. (2016). Volunteered geographic information in natural hazard analysis: a systematic literature review of current approaches with a focus on preparedness and mitigation. ISPRS International Journal of Geo-Information, 5(7). http://doi.org/10.3390/ijgi5070103
  • König, K., & Höfle, B. (2016). Full-waveform airborne laser scanning in vegetation studies: a review of point cloud and waveform features for tree species classification. Forests, 7. http://doi.org/10.3390/f7090198
  • Koma, Z., Székely, B., Folly-Ritvay, F., König, K., & Höfle, B. (2016). Automated identification and geometrical features extraction of individual trees from Mobile Laser Scanning data in Budapest. Geophysical Research Abstracts, 18, 1.
  • Koma, Z., König, K., & Höfle, B. (2016). Urban tree classification using full-waveform airborne laser scanning. In XXIII ISPRS Congress, Commission III, 12-19 July 2016, Prague, Czech Republic. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (Vol. 3,3, pp. 185–192). http://doi.org/10.5194/isprs-annals-III-3-185-2016
  • Malinowski, R., Höfle, B., & König, K. (2016). Local-scale flood mapping on vegetated floodplains from radiometrically calibrated airborne LiDAR data. ISPRS Journal of Photogrammetry and Remote Sensing, 119, 267–279. http://doi.org/10.1016/j.isprsjprs.2016.06.009
  • Marx, S., Hämmerle, M., Klonner, C., & Höfle, B. (2016). 3D participatory sensing with low-cost mobile devices for crop height assessment: a comparison with terrestrial laser scanning data. PLOS ONE, 11(4). http://doi.org/10.1371/journal.pone.0152839
  • Profe, J., Höfle, B., Hämmerle, M., Schröder-Ritzrau, A., & Frank, N. (2016). Characterizing tufa barrages in relation to channel bed morphology in a small karstic river by airborne LiDAR topo-bathymetry. Proceedings of the Geologists’ Association, 127(6), 664–675. http://doi.org/10.1016/j.pgeola.2016.10.004
  • Rutzinger, M., Höfle, B., Lindenbergh, R., Oude Elberink, S., Pirotti, F., Sailer, R., Scaioni, M., Stötter, J., & Wujanz, D. (2016). Close-range sensing techniques in alpine terrain. In XXIII ISPRS Congress, Commission VI, 12-19 July 2016, Prague, Czech Republic. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (Vol. 3,6, pp. 15–22). http://doi.org/10.5194/isprs-annals-III-6-15-2016
  • Usón, T., Klonner, C., & Höfle, B. (2016). Using participatory geographic approaches for urban flood risk in Santiago de Chile: insights from a governance analysis. Environmental Science & Policy, 66, 62–72. http://doi.org/10.1016/j.envsci.2016.08.002

2015

  • Hillen, F., Ehlers, M., Meynberg, O., Höfle, B., & Reinartz, P. (2015). Fusing real-time geo-information for a raster-based least cost navigation in an SDI. http://doi.org/10.11588/heidok.00037151
  • Hillen, F., & Höfle, B. (2015). Geo-reCAPTCHA: crowdsourcing large amounts of geographic information from earth observation data. International Journal of Applied Earth Observation and Geoinformation, 40, 29–38. http://doi.org/10.1016/j.jag.2015.03.012
  • Hillen, F., Meynberg, O., & Höfle, B. (2015). Routing in dense human crowds using smartphone movement data and optical aerial imagery. ISPRS International Journal of Geo-Information, 4(2), 974–988. http://doi.org/10.3390/ijgi4020974
  • Höfle, B., König, K., Griesbaum, L., Kiefer, A., Hämmerle, M., Eitel, J., & Koma, Z. (2015). LiDAR Vegetation Investigation and Signature Analysis System (LVISA). Geophysical Research Abstracts, 17, 1–1.
  • Klonner, C., Barron, C., Neis, P., & Höfle, B. (2015). Updating digital elevation models via change detection and fusion of human and remote sensor data in urban environments. International Journal of Digital Earth, 8(2), 153–171. http://doi.org/10.1080/17538947.2014.881427
  • König, K., Höfle, B., & Hämmerle, M. (2015). Comparative classification analysis of post-harvest growth detection from terrestrial LiDAR point clouds in precision agriculture. ISPRS Journal of Photogrammetry and Remote Sensing, 104, 112–125. http://doi.org/10.1016/j.isprsjprs.2015.03.003
  • Pattee, A., Höfle, B., & Seitz, C. (2015). Integrative 3D recording methods of historic architecture: Burg Hohenecken castle from southwest Germany. In IEEE Xplore digital library (pp. 95–98). http://doi.org/10.1109/DigitalHeritage.2015.7413843
  • Standortkataster für Lärmschutzanlagen mit Ertragsprognose für potentielle Photovoltaik-Anwendungen. (2015). Berichte der Bundesanstalt für Straßenwesen (Vol. 252).
  • Systematic review of current efforts to quantify the impacts of climate change on undernutrition. (2015). Proceedings of the National Academy of Sciences of the United States of America, 112(33). http://doi.org/10.1073/pnas.1409769112
  • Tomljenović, I., & Höfle, B. (2015). Building extraction from airborne laser scanning data: an analysis of the state of the art. Remote Sensing, 7(4), 3826–3862. http://doi.org/10.3390/rs70403826
  • Höfle, B., Klonner, C., Marx, S., & Usón, T. (2015). Neogeographie einer digitalen Erde: Geo-Informatik als methodische Brücke in der interdisziplinären Naturgefahrenanalyse (NEOHAZ). Jahrbuch der Heidelberger Akademie der Wissenschaften für ..., 259–264.

2014

  • Belgiu, M., & Höfle, B. (2014). Ontology-based classification of building types detected from airborne laser scanning data. Remote Sensing, 6(2), 1347–1366. http://doi.org/10.3390/rs6021347
  • Comparison of kinect and terrestrial LiDAR capturing natural karst cave 3-D objects. (2014). IEEE Geoscience and Remote Sensing Letters, 11(11), 1896–1900. http://doi.org/10.1109/LGRS.2014.2313599
  • Dorn, H., Vetter, M., & Höfle, B. (2014). GIS-based roughness derivation for flood simulations:  a comparison of orthophotos, LiDAR and crowdsourced geodata. Remote Sensing, 6(2), 1739–1759. http://doi.org/10.3390/rs6021739
  • Glaser, R., & Aeschbach, N. (2014). Dem Klima der Vergangenheit auf der Spur: die wechselvolle Geschichte des Klimas. In Mensch. Natur. Katastrophe - von Atlantis bis heute. Band ... der Publikationen der Reiss-Engelhorn-Museen (Vol. 62, pp. 257–259).
  • Glaser, R., & Aeschbach, N. (2014). Klimawandel. In Mensch. Natur. Katastrophe - von Atlantis bis heute. Band ... der Publikationen der Reiss-Engelhorn-Museen (Vol. 62, pp. 242–249).
  • Hämmerle, M., & Höfle, B. (2014). Effects of reduced terrestrial LiDAR point density on high-resolution grain crop surface models in precision agriculture. Sensors, 14(12), 24212–24230. http://doi.org/10.3390/s141224212
  • Hillen, F., Höfle, B., Ehlers, M., & Reinartz, P. (2014). Information fusion infrastructure for remote-sensing and in-situ sensor data to model people dynamics. International Journal of Image and Data Fusion, 5(1), 54–69. http://doi.org/10.1080/19479832.2013.870934
  • Hillen, F., Höfle, B., Ehlers, M., & Reinartz, P. (2014). The potential of agent-based modelling for verification of people trajectories based on smartphone sensor data. In 8th International Symposium of the Digital Earth (ISDE8). IOP conference series (Vol. 18). http://doi.org/10.1088/1755-1315/18/1/012052
  • Hillen, F., Ehlers, M., Höfle, B., & Reinartz, P. (2014). Real-time geo-Information fusion as one key aspect of Digital Earth. In European remote sensing - new opportunities for science and practice (p. 1).
  • Hillen, F., Höfle, B., & Lange, N. de. (2014). Real-time geo-data integration using the example of agent-based modelling.
  • Höfle, B. (2014). Radiometric correction of terrestrial LiDAR Point Cloud Data for individual maize plant detection. In IEEE Xplore digital library (Vol. 11, pp. 94–98). http://doi.org/10.1109/LGRS.2013.2247022
  • Malinowski, R., Höfle, B., König, K., Groom, G. E., Schwanghart, W., & Heckrath, G. (2014). Mapping of local-scale flooding on vegetated floodplains from radiometrically calibrated airborne laser scanning data. Geophysical Research Abstracts, 16, 1.
  • Marx, S., Phalkey, R., Aranda-Jan, C. B., Profe, J., Sauerborn, R., & Höfle, B. (2014). Geographic information analysis and web-based geoportals to explore malnutrition in Sub-Saharan Africa: a systematic review of approaches. BMC Public Health, 14. http://doi.org/10.1186/1471-2458-14-1189
  • Methods to measure potential spatial access to delivery care in low- and middle-income countries: a case study in rural Ghana. (2014). International Journal of Health Geographics, 13(25), 1–13. http://doi.org/10.1186/1476-072X-13-25
  • Point clouds of measurements in the Dechen Cave near Iserlohn. (2014). http://doi.org/10.1594/PANGAEA.830567
  • Point cloud of a flowstone wall measured with a terrestrial laser scanner. (2014). http://doi.org/10.1594/PANGAEA.830564
  • Point cloud of a stalagmite measured with a structured light camera. (2014). http://doi.org/10.1594/PANGAEA.830565
  • Point cloud of a stalagmite measured with a terrestrial laser scanner. (2014). http://doi.org/10.1594/PANGAEA.830566
  • Point cloud of a flowstone wall measured with a structured light camera. (2014). http://doi.org/10.1594/PANGAEA.830561
  • Potential and idiosyncrasy of object‐based image analysis for airborne Lidar‐based building detection. (2014). South-Eastern European Journal of Earth Observation and Geomatics, 3(2S), 517–520.

2013

  • Bergmann, M., & Höfle, B. (2013). GIS-gestützte Standortplanung von Windenergieanlagen mit freien und amtlichen Geodaten. Angewandte Geoinformatik, 25, 480–489.
  • COMNISPA II: Update of a mid-European isotope climate record, 11 ka to present. (2013). The Holocene, 23(5), 749–754. http://doi.org/10.1177/0959683612465446
  • Dorn, H., Vetter, M., & Höfle, B. (2013). GIS-basierte Rauigkeitsableitung für Hochwassersimulationen:: eine Sensitivitätsanalyse mit Orthophotos, Laserscanning und freien Geodaten.
  • Forbriger, M., Siart, C., Schittek, K., Höfle, B., Bubenzer, O., & Eitel, B. (2013). Terrestrial laser scanning in geoarchaeology: capturing one of the oldest settlement places in the high Andes of southern Peru. In Digital Geoarchaeology 2013 (p. 29).
  • Fusion of multi-resolution surface (terrestrial laser scanning) and subsurface geodata (ERT, SRT) for karst landform investigation and geomorphometric quantification. (2013). Earth Surface Processes and Landforms, 38, 1135–1147. http://doi.org/10.1002/esp.3394
  • Hämmerle, M., Forbriger, M., & Höfle, B. (2013). Multitemporal 3D data capturing and GIS analysis of fluvial processes and geomorphological changes with terrestrial laser scanning. Geophysical Research Abstracts, 15, 1.
  • Hämmerle, M., Forbriger, M., & Höfle, B. (2013). Multitemporale 3D-Erfassung und GIS-Analyse fluvial-geomorphologischer Prozesse mit terrestrischem Laserscanning. In Geoinformatik 2013 (pp. 1–8).
  • Helbich, M., Jochem, A., Mücke, W., & Höfle, B. (2013). Boosting the predictive accuracy of urban hedonic house price models through airborne laser scanning. Computers, Environment and Urban Systems, 39, 81–92. http://doi.org/10.1016/j.compenvurbsys.2013.01.001
  • Helbich, M., & Höfle, B. (2013). Verbesserung der Vorhersagegenauigkeit von urbanen hedonischen Immobilienpreismodellen durch Laserscanning. HGG-Journal, 27.2012/13, 17–19.
  • Hillen, F., Ehlers, M., Reinartz, P., & Höfle, B. (2013). Fusion of real-time remote sensing data and in-situ sensor data to increase situational awareness in digital earth applications. http://doi.org/10.11588/heidok.00037122
  • Hillen, F., & Höfle, B. (2013). Webbasierte Sichtbarkeitsanalyse mit Laserscanningdaten:  = Web-based visibility analysis with LiDAR data. GIS.science, 26(1), 1–7.
  • Hillen, F., & Höfle, B. (2013). Webbasierte Sichtbarkeitsanalyse mit Laserscanningdaten. http://doi.org/10.11588/heidok.00037444
  • Höfle, B. (2013). Geoinformation extraction from 3D pointclouds: current status and future perspective. In Digital Geoarchaeology 2013 (p. 11).
  • Höfle, B., Griesbaum, L., & Forbriger, M. (2013). GIS-based detection of gullies in terrestrial LiDAR data of the Cerro Llamoca Peatland (Peru). Remote Sensing, 5(11), 5851–5870. http://doi.org/10.3390/rs5115851
  • Jarmer, T., Siegmann, B., Lilienthal, H., Höfle, B., Selige, T., & Richter, N. (2013). LAI assessing of wheat stands from AISA-DUAL imagery. http://doi.org/10.11588/heidok.00037115
  • König, K., Höfle, B., Müller, L., Hämmerle, M., Jarmer, T., Siegmann, B., & Lilienthal, H. (2013). Mapping density of harvest residues from terrestrial laser scanning and RGB imagery. http://doi.org/10.11588/heidok.00037073
  • König, K., Höfle, B., Müller, L., Hämmerle, M., Jarmer, T., Siegmann, B., & Lilienthal, H. (2013). Radiometric correction of terrestrial LiDAR data for mapping of harvest residues density. In ISPRS Workshop on Laser Scanning 2013. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (Vol. II–5/W2, 2013, pp. 133–138). http://doi.org/10.5194/isprsannals-II-5-W2-133-2013
  • König, K., Kiefer, A., & Höfle, B. (2013). Webbasierte Visualisierung und objektbasierte Analyse von 3D-Geoinformation aus Laserpunktwolken. GIS. science, 26(2), 70–76.
  • Miernik, G., Profe, J., Höfle, B., Kissner, T., Emmerich, A., Bechstädt, T., & Zühlke, R. (2013). Modelling fractured reservoirs from LiDAR derived digital outcrop models (DOMs). http://doi.org/10.11588/heidok.00037118
  • Panagiotopoulos, D., Höfle, B., & Rabenseifner, I. (2013). The Heidelberg Koumasa Project: a geoarchaeological approach to the history of a marginal Mediterranean landscape. In Digital Geoarchaeology 2013 (p. 20).
  • Peters, R., & Höfle, B. (2013). Solarpotenzialanalyse an vertikalen Strukturen mit ArcGIS und GRASS GIS am Beispiel von Lärmschutzwänden. In Geoinformatik 2013 (pp. 1–3).
  • Profe, J., Forbriger, M., & Höfle, B. (2013). Terrestrisches Laserscanning für geoarchäologische Fragestellungen in Koumasa/Kreta.
  • Siegmann, B., Jarmer, T., Lilienthal, H., Selige, T., Höfle, B., & Richter, N. (2013). Comparison of narrow band vegetation indices and empirical models from hyperspectral remote sensing data for the assessment of wheat nitrogen concentration. http://doi.org/10.11588/heidok.00037114
  • Siegmann, B., Jarmer, T., Lilienthal, H., Selige, T., Höfle, B., & Richter, N. (2013). Comparison of narrow band vegetation indices and empirical models from hyperspectral remote sensing data for the assessment of wheat nitrogen concentration. In 8th EARSeL SIG Imaging Spectroscopy Workshop Nantes, France (p. [103]).
  • König, K., Kiefer, A., & Höfle, B. (2013). Laser scanning for 3D vegetation characterization: web-based infrastructure for exploration and analysis of vegetation signatures. Geophysical Research Abstracts, 14.

2012

  • Forbriger, M., Höfle, B., Siart, C., Schittek, K., & Bubenzer, O. (2012). High-resolution terrestrial laser scanning (TLS) on cushion peatlands: a case study from the Peruvian Andes. Geophysical Research Abstracts, 14.
  • Forbriger, M., Schittek, K., Höfle, B., Siart, C., & Eitel, B. (2012). Multi-method investigation of cushion peatlands (bofedales) on the Peruvian Altiplano: high-resolution terrestrial archives for palaeoenvironmental reconstructions. http://doi.org/10.11588/heidok.00037052
  • Hillen, F., & Höfle, B. (2012). Interoperable web-based 3D analysis of laser scanning data for location-based mobile applications. In Geoinformatik 2012 - “Mobilität und Umwelt” (pp. 399–402).
  • Höfle, B., & Jochem, A. (2012). 3D-Laserscanning-Punktwolken und GIS: aktuelle Entwicklungen = 3D laser scanning point clouds and GIS : current developments. GIS.science, 25(2), 91–100.
  • Höfle, B. (2012). Fusion of terrestrial LiDAR and tomographic mapping data for 3D karst landform investigation. Geophysical Research Abstracts, 14.
  • Höfle, B. (2012). Nachhaltige Stromerzeugung: Geoinformationen optimieren Solaranlagen. Ruperto Carola, (1), 44–46.
  • Höfle, B. (2012). Nachhaltige Stromerzeugung: Geoinformationen optimieren Solaranlagen. http://doi.org/10.11588/heidok.00037058
  • Höfle, B. (2012). Towards digital earth: 3D spatial data infrastructures. http://doi.org/10.11588/heidok.00037057
  • Höfle, B., Hollaus, M., & Hagenauer, J. C. (2012). Urban vegetation detection using radiometrically calibrated small-footprint full-waveform airborne LiDAR data. ISPRS Journal of Photogrammetry and Remote Sensing, 67(1), 134–147. http://doi.org/10.1016/j.isprsjprs.2011.12.003
  • König, K., & Höfle, B. (2012). Laser scanning for 3D object characterization: infrastructure for exploration and analysis of vegetation signatures. Geophysical Research Abstracts, 14.
  • Lilienthal, H., Richter, N., Jarmer, T., Siegmann, B., Selige, T., & Höfle, B. (2012). Simulation landwirtschaftlicher Online-Sensorik mit Hilfe abbildender Hyperspektraldaten. In 17. und 18. Workshop Computer-Bildanalyse in der Landwirtschaft. Bornimer agrartechnische Berichte (Vol. 78, pp. 64–72).
  • Rutzinger, M., Höfle, B., & Kringer, K. (2012). Accuracy of automatically extracted geomorphological breaklines from airborne LiDAR curvature images. Geografiska Annaler, 94(1), 33–42.
  • Schütt, F., & Höfle, B. (2012). Validierung und Modellierung von Pflanzenparametern mit terrestrischen Laserscannerdaten.
  • Siegmann, B., Jarmer, T., Lilienthal, H., Richter, N., Selige, T., & Höfle, B. (2012). Die Ableitung des Blattflächenindex von Weizenbeständen aus abbildenden Hyperspektraldaten. http://doi.org/10.11588/heidok.00037044
  • Siegmann, B., Jarmer, T., Lilienthal, H., Richter, N., Selige, T., & Höfle, B. (2012). Hyperspektraldaten zur Erfassung des Blattflächenindex von Weizenbeständen. In Geoinformatik 2012 - “Mobilität und Umwelt” (pp. 343–350).
  • Vetter, M., Höfle, B., Hollaus, M., Wagner, W., Gschöpf, C., Mandlburger, G., & Pfeifer, N. (2012). Vertical vegetation structure analysis and hydraulic roughness determination using dense ALS point cloud data: a voxel based approach. In ISPRS Workshop Laser Scanning 2011. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (Vol. Volume XXXVII-5/W12, pp. 265–270). http://doi.org/10.5194/isprsarchives-XXXVIII-5-W12-265-2011
  • Jochem, A., Höfle, B., & Zipf, A. (2012). Area-wide roof plane segmentation in airborne LiDAR point clouds. Computers, Environment and Urban Systems, 36(1), 54–64. http://doi.org/10.1016/j.compenvurbsys.2011.05.001

2011

  • Auer, M., Höfle, B., Lanig, S., Schilling, A., & Zipf, A. (2011). 3D-sutras: a web based atlas of laser scanned Buddhist stone inscriptions in China. http://doi.org/10.11588/heidok.00037038
  • Estimation of aboveground biomass in alpine forests: a semi-empirical approach considering canopy transparency derived from airborne LiDAR data. (2011). Sensors, 11(1), 278–295. http://doi.org/10.3390/s110100278
  • Forbriger, M., Schittek, K., Siart, C., & Höfle, B. (2011). New approaches in vegetation mapping: use of tenestrial laser scanning on high Andean cushion peatlands. Geophysical Research Abstracts, 13.
  • Forbriger, M., Müller, L., Siart, C., Schittek, K., Höfle, B., Bubenzer, O., Reindel, M., & Eitel, B. (2011). Terrestrial laser scanning in geoarchaeology: capturing one of the oldest settlement places in the high Andes of southern Peru. http://doi.org/10.11588/heidok.00037026
  • Forbriger, M., Siart, C., Schittek, K., Höfle, B., Bubenzer, O., & Eitel, B. (2011). Terrestrial laser scanning in geoarchaeology: capturing one of the oldest settlement places in the high Andes of southern Peru. Geophysical Research Abstracts, 13.
  • Fritzmann, P., Höfle, B., Vetter, M., Sailer, R., Stötter, J., & Bollmann, E. (2011). Surface classification based on multi-temporal airborne LiDAR intensity data in high mountain environments: a case study from Hintereisferner, Austria. Zeitschrift Für Geomorphologie, 55, 105–126. http://doi.org/10.1127/0372-8854/2011/0055S2-0048
  • Höfle, B., Pfeifer, N., & Zipf, A. (2011). Laser Scanning Spatial Data Infrastructure (LaSDI). http://doi.org/10.11588/heidok.00037036
  • Höfle, B., & Rutzinger, M. (2011). Topographic airborne LiDAR in geomorphology: a technological perspective. Zeitschrift Für Geomorphologie, 55, 1–29. http://doi.org/10.1127/0372-8854/2011/0055S2-0043
  • Schwering, A. (Ed.). (2011). Interoperable integration of high precision 3D laser data and large scale geoanalysis in a SDI for Sutra inscriptions in Sichuan (China). Geochange. Ifgi prints (Vol. 41, pp. 79–84).
  • Jochem, A., Höfle, B., & Rutzinger, M. (2011). Extraction of vertical walls from mobile laser scanning data for solar potential assessment. Remote Sensing, 3(4), 650–667. http://doi.org/10.3390/rs3040650
  • Lanig, S., Höfle, B., Auer, M., Schilling, A., Deierling, H., & Zipf, A. (2011). Geodateninfrastrukturen im historisch-geographischen Kontext - buddhistische Steinschriften in der Provinz Sichuan, China. http://doi.org/10.11588/heidok.00037035
  • Roughness mapping on various vertical scales based on full-waveform airborne laser scanning data. (2011). Remote Sensing, 3(3), 503–523. http://doi.org/10.3390/rs3030503
  • Rutzinger, M., & Höfle, B. (2011). Digital terrain models from airborne laser scanning for the automatic extraction of natural and anthropogenic linear structures. In Geomorphological mapping. Developments in earth surface processes (Vol. 15, pp. 475–488). http://doi.org/10.1016/B978-0-444-53446-0.00018-5
  • Rutzinger, M., Höfle, B., Oude Elberink, S., & Vosselman, G. (2011). Feasibility of facade footprint extraction from mobile laser scanning data:  = Möglichkeiten der Extraktion von Fassadengrundlinien aus mobilen Laserscannerdaten. Photogrammetrie, Fernerkundung, Geoinformation, (3), 97–107. http://doi.org/10.1127/1432-8364/2011/0075
  • Rutzinger, M., Höfle, B., & Kringer, K. (2011). Quality of geomorphological breaklines extracted from airborne laser scanning. http://doi.org/10.11588/heidok.00037022
  • Vetter, M., Höfle, B., Mandlburger, G., & Rutzinger, M. (2011). Estimating changes of riverine landscapes and riverbeds by using airborne LiDAR data and river cross-sections. Zeitschrift Für Geomorphologie, 55, 51–65. http://doi.org/10.1127/0372-8854/2011/0055S2-0045
  • Mandlburger, G., Otepka, J., Karel, W., Hollaus, M., Ressl, C., Haring, A., Briese, C., Molnar, G., & Höfle, B. (2011). OPALS: a comprehensive laser scanning software for geomorphological analysis. Geophysical Research Abstracts, 11, 1.
  • Vetter, M., Gschöpf, C., Höfle, B., Hollaus, M., Mücke, W., Pfeifer, N., Blöschl, G., & Wagner, W. (2011). Manning’s n determination using vertical vegetation structure based on dense airborne laser scanning data. Geophysical Research Abstracts, 11.

2010

  • Aeschbach, N. (2010). COMNISPA - ein präzise datiertes Klima-Archiv aus holozänen alpinen Stalagmiten.
  • Aubrecht, C., & Höfle, B. (2010). Vertical roughness mapping: ALS based classification of the vertical vegetation structure in forested areas. In Papers accepted on the basis of peer-reviewed abstracts. 100 years ISPRS advancing remote sensing science (Vol. Pt. B, pp. 35–40).
  • Höfle, B., & Hollaus, M. (2010). Roughness parameterization using full-waveform airborne LiDAR data. http://doi.org/10.11588/heidok.00037020
  • Höfle, B., & Hollaus, M. (2010). Urban vegetation detection using high density full-waveform airborne LiDAR data: combination of object-based image and point cloud analysis. In Papers accepted on the basis of peer-reviewed abstracts. 100 years ISPRS advancing remote sensing science (Vol. Pt. B, pp. 281–186).
  • Höfle, B., & Hollaus, M. (2010). Urban vegetation detection using high density full-waveform airborne LiDAR data - combination of object-based image and point cloud analysis. http://doi.org/10.11588/heidok.00037018
  • Hollaus, M., & Höfle, B. (2010). Terrain roughness parameters from full-waveform airborne LiDAR data. In Papers accepted on the basis of peer-reviewed abstracts. 100 years ISPRS advancing remote sensing science (Vol. Pt. B, pp. 287–292).
  • Jochem, A., Hollaus, M., Rutzinger, M., Höfle, B., Schadauer, K., & Maier, B. (2010). Estimation of aboveground biomass using airborne LiDAR data. In Proceedings Silvilaser 2010 (pp. 161–168).
  • Jochem, A., Wichmann, V., & Höfle, B. (2010). Large area point cloud based solar radiation modeling. http://doi.org/10.11588/heidok.00037006
  • Mandlburger, G., Briese, C., Otepka, J., Höfle, B., & Pfeifer, N. (2010). Verwaltung landesweiter Full Waveform Airborne Laser Scanning Daten. In Vorträge Dreiländertagung OVG, DGPF und SGPF. Publikationen der Deutschen Gesellschaft für Photogrammetrie, Fernerkundung und Geoinformation e.V. (Vol. 19, pp. 356–365).
  • Podobnikar, T., Székely, B., Hollaus, M., Roncat, A., Dorninger, P., Briese, C., Melzer, T., Pathe, C., Höfle, B., & Pfeifer, N. (2010). Vsestranska uporaba aero-laserskega skeniranja za ugotavljanje nevarnosti zaradi naravnih nesreč na območju Alp. In Od razumevanja do upravljanja (pp. 125–137).
  • Rutzinger, M., Höfle, B., Vetter, M., Stötter, J., & Pfeiffer, N. (2010). Classification of breaklines derived from airborne LiDAR data for geomorphological activity mapping. Geophysical Research Abstracts, 12.
  • Vetter, M., Höfle, B., Mandlburger, G., & Rutzinger, M. (2010). Change detection of riverbed movements using river cross-sections and LiDAR data. Geophysical Research Abstracts, 12.

2009

  • Adams, M., Gangkofner, U., Stemberger, W., Doubkova, M., Höfle, B., Hollaus, M., Sabel, D., Aubrecht, C., & Steinnocher, K. (2009). SAR-X Environ - environmental mapping applications using TerraSAR-X: final project report, No. 817082.
  • Bell, R., Höfle, B., & Chlaupek, A. (2009). Potential of terrestrial and airborne LiDAR in geomorphology: a geomorphological perspective. http://doi.org/10.11588/heidok.00036992
  • Geist, T., Höfle, B., Rutzinger, M., Pfeifer, N., & Stötter, J. (2009). Laser scanning - a paradigm change in topographic data acquisition for natural hazard management. In Sustainable Natural Hazard Management in Alpine Environments (pp. 309–344). http://doi.org/10.1007/978-3-642-03229-5_11
  • Höfle, B., Hollaus, M., Mücke, W., & Pfeifer, N. (2009). Aktueller Stand und Potenzial von Full-waveform Laserscanning in der Geomorphologie: Kurzfassung des Vortrags bei “Deutscher Geographentag 2009, Wien” Fachsitzung FS 62: Möglichkeiten und Grenzen von Laserscanning in der Geomorphologie. http://doi.org/10.11588/heidok.00036962
  • Höfle, B., Mücke, W., Dutter, M., Rutzinger, M., & Dorninger, P. (2009). Detection of building regions using airborne LiDAR: a new combination of raster and point cloud based GIS methods. http://doi.org/10.11588/heidok.00036990
  • Höfle, B., Sailer, R., Vetter, M., Rutzinger, M., & Pfeifer, N. (2009). Glacier surface feature detection and classification from airborne LiDAR data. http://doi.org/10.11588/heidok.00036989
  • Höfle, B., Mandlburger, G., Pfeifer, N., Rutzinger, M., & Bell, R. (2009). Potential of airborne LiDAR in geomorphology: a technological perspective. http://doi.org/10.11588/heidok.00036991
  • Höfle, B., Vetter, M., Pfeifer, N., Mandlburger, G., & Stötter, J. (2009). Water surface mapping from airborne laser scanning using signal intensity and elevation data. Earth Surface Processes and Landforms, 34(12), 1635–1649. http://doi.org/10.1002/esp.1853
  • Hollaus, M., Dorigo, W., Wagner, W., Schadauer, K., Höfle, B., & Maier, B. (2009). Operational wide-area stem volume estimation based on airborne laser scanning and national forest inventory data. International Journal of Remote Sensing, 30(19), 5159–5175. http://doi.org/10.1080/01431160903022894
  • Hollaus, M., Mücke, W., Höfle, B., Dorigo, W., Pfeifer, N., Wagner, W., Bauerhansl, C., & Regner, B. (2009). Tree species classification based on full-waveform airborne laser scanning data. In Special issue: Silvilaser - Lidar remote sensing for characterizing forest vegetation (pp. 54–62).
  • Jochem, A., Höfle, B., Rutzinger, M., & Pfeifer, N. (2009). Automatic roof plane detection and analysis in airborne lidar point clouds for solar potential assessment. Sensors, 9(7), 5241–5262. http://doi.org/10.3390/s90705241
  • Jochem, A., Höfle, B., Hollaus, M., & Rutzinger, M. (2009). Object detection in airborne LIDAR data for improved solar radiation modeling in urban areas. In Laserscanning ’09. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (Vol. Volume XXXVIII-3/W8, pp. 1–6).
  • Mandlburger, G., Hauer, C., Höfle, B., Habersack, H., & Pfeifer, N. (2009). Optimisation of LiDAR derived terrain models for river flow modelling. Hydrology and Earth System Sciences, 13(8), 1453–1466. http://doi.org/10.5194/hess-13-1453-2009
  • Mandlburger, G., Höfle, B., Briese, C., Ressl, C., Otepka, J., Hollaus, M., & Pfeifer, N. (2009). Topographische Daten aus Laserscanning als Grundlage für Hydrologie und Wasserwirtschaft. Österreichische Wasser- und Abfallwirtschaft, 61(7/8), 89–97. http://doi.org/10.1007/s00506-009-0095-3
  • Pfeifer, N., Briese, C., Mandlburger, G., Höfle, B., & Ressl, C. (2009). State of the art in high accuracy high detail DTMs derived from ALS. Geophysical Research Abstracts, 11, 1.
  • Sailer, R., Höfle, B., Bollmann, E., Vetter, M., Stötter, J., Pfeifer, N., Rutzinger, M., & Geist, T. (2009). Multitemporal error analysis of LiDAR data for geomorphological feature detection. Geophysical Research Abstracts, 11, 1.
  • Vetter, M., Höfle, B., Pfeifer, N., Rutzinger, M., Sailer, R., Stötter, J., & Geist, T. (2009). The Hintereisferner: eight years of experience in method development for glacier monitoring with airborne LiDAR. Geophysical Research Abstracts, 11, 1.
  • Vetter, M., Höfle, B., Pfeifer, N., Rutzinger, M., & Stötter, J. (2009). On the use of airborne LiDAR for braided river monitoring and water surface delineation. Geophysical Research Abstracts, 11, 1.
  • Vetter, M., Höfle, B., & Rutzinger, M. (2009). Water classification using 3D airborne laser scanning point clouds. VGI, 97(2), 227–238.
  • Wagner, W., Hollaus, M., & Höfle, B. (2009). Terrain characterization and vegetation structural analysis with full-waveform airborne laser scanners. In Remote Sensing and Photogrammetry Society annual conference 2009 (pp. 208–213).

2008

  • Briese, C., Höfle, B., Lehner, H., Wagner, W., Pfennigbauer, M., & Ulrich, A. (2008). Calibration of full-waveform airborne laser scanning data for object classification. In Laser radar technology and applications. Proceedings of SPIE (Vol. 6950, pp. 1–8). http://doi.org/10.1117/12.781086
  • Höfle, B., Hollaus, M., Lehner, H., Pfeifer, N., & Wagner, W. (2008). Area-based parameterization of forest structure using full-waveform airborne laser scanning data. In Proceedings of SilviLaser 2008 (pp. 227–235).
  • Höfle, B., Hollaus, M., Pfeifer, N., & Wagner, W. (2008). Vegetationsuntersuchungen mittels full-waveform Laserscanning-Daten.
  • Höfle, B., Pfeifer, N., Ressl, C., Rutzinger, M., & Vetter, M. (2008). Water surface mapping using airborne laser scanning elevation and signal amplitude data. Geophysical Research Abstracts, 10, 1–2.
  • Pfeifer, N., Höfle, B., Briese, C., Rutzinger, M., & Haring, A. (2008). Analysis of the backscattered energy in terrestrial laser scanning data. In Analysis of the backscattered energy in terrestrial laser scanning dataProceedings ; Pt. B5-2. Proceedings (Vol. Pt. B5–2, pp. 1045–1051).
  • Rutzinger, M., Höfle, B., Hollaus, M., & Pfeifer, N. (2008). Object-based point cloud analysis of full-waveform airborne laser scanning data for urban vegetation classification. Sensors, 8(8), 4505–4528. http://doi.org/10.3390/s8084505
  • Rutzinger, M., Höfle, B., & Pfeifer, N. (2008). Object detection in airborne laser scanning data: an integrative approach on object-based image and point cloud analysis. In Object-based image analysis (pp. 645–662). http://doi.org/10.1007/978-3-540-77058-9_35
  • Vetter, M., Höfle, B., Mandlburger, G., & Rutzinger, M. (2008). Ableitung von Flusssohlenmodellen aus Flussquerprofilen und Integration in Airborne Laserscanning Geländemodelle mit GRASS GISS. In Angewandte Geoinformatik 2008. Angewandte Geoinformatik, 20 (pp. 382–391).

2007

  • Höfle, B., & Pfeifer, N. (2007). Correction of laser scanning intensity data: data and model-driven approaches. ISPRS Journal of Photogrammetry and Remote Sensing, 62(6), 415–433. http://doi.org/10.1016/j.isprsjprs.2007.05.008
  • Höfle, B. (2007). Detection and utilization of the information potential of airborne laser scanning point cloud and intensity data by developing a management and analysis system.
  • Höfle, B., Geist, T., Rutzinger, M., & Pfeifer, N. (2007). Glacier surface segmentation using airborne laser scanning point cloud and intensity data. In Proceedings of the ISPRS Workshop “Laser Scanning 2007 and SilviLaser 2007.” The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (Vol. 36, part W/52, pp. 195–200).
  • Kodde, M. P., Pfeifer, N., Gorte, B., Geist, T., & Höfle, B. (2007). Automatic glacier surface analysis from airborne laser scanning. http://doi.org/10.11588/heidok.00036925
  • Rutzinger, M., Höfle, B., & Pfeifer, N. (2007). Detection of high urban vegetation with airborne laser scanning data. http://doi.org/10.11588/heidok.00036924

2006

  • Edelmaier, F., & Höfle, B. (2006). Konzepte zur 3D Visualisierung von Laserscanner-Daten mit VTK und Python. Angewandte Geoinformatik, 18, 129–134.
  • Geist, T., Höfle, B., Kodde, M. P., Kodde, S., Karimi, F., Lindenbergh, R., & Pfeifer, N. (2006). Experimente am Hintereisferner mit dem terrestrischen Laserscanner Ilris 3D 25. und 26. Juli 2006: technical Report. http://doi.org/10.11588/heidok.00036922
  • Höfle, B., Rutzinger, M., Geist, T., & Stötter, J. (2006). Using airborne laser scanning data in urban data management: set up of a flexible information system with open source components. http://doi.org/10.11588/heidok.00036921
  • Rutzinger, M., Höfle, B., Pfeifer, N., Geist, T., & Stötter, J. (2006). Object-based analysis of airborne laser scanning data for natural hazard purposes using open source components. International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 36(4/C42), 1–5.
  • Rutzinger, M., Höfle, B., Geist, T., & Stötter, J. (2006). Object-based building detection based on airborne laser scanning data within GRASS GIS environment. http://doi.org/10.11588/heidok.00036902

2005

  • Aeschbach, N. (2005). Stalagmiten aus der Spannagel-Höhle bei Hintertux: (Tirol, Österreich); Archive für das Klima der Alpen im Holozän.
  • Geist, T., Höfle, B., Rutzinger, M., & Stötter, J. (2005). Der Einsatz von flugzeuggestützten Laserscanner Daten für geowissenschaftliche Untersuchungen in Gebirgsräumen. Photogrammetrie, Fernerkundung, Geoinformation, (3), 183–190.
  • Höfle, B. (2005). Entwicklung eines Informationssystems für Laserscannerdaten mit open source Software.

2004

  • Geist, T., Höfle, B., Rutzinger, M., & Stötter, J. (2004). Analysis of laser scanner data with remote sensing techniques for determining surface characteristics. In Laser-scanners for forest and landscape assessment. The international archives of photogrammetry, remote sensing and spatial information sciences (Vol. 36,8/W2, p. 297).

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