Publications Publications of the 3DGeo Group

[331] 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. Vol. EGU25, pp. 1-2.

[330] Czerwonka-Schröder, D., Schulte, F., Albert, W., Hosseini, K., Tabernig, R., Yang, Y., Höfle, B., Holst, C. & Zimmermann, K. (2025): AImon5.0: Echtzeitüberwachung gravitativer Massenbewegungen – Eine Fallstudie am Trierer Augenscheiner. In: 23. Internationale Geodätische Woche. Vol. 23, pp. 1-13.

[329] 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 2025. Vol. JISDM 2025, pp. 1-9.

[328] 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. Vol. EGU25, pp. 1-1.

[327] Kohns, 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. Vol. accepted, pp. 100427.

[326] 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. Vol. 16 (4), pp. 801-818.

[325] 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 (JISDM). Vol. 6, pp. 1-9.

[324] 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. Vol. EGU25, pp. 1-2.

[323] Esmorís, 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 Journal of Photogrammetry and Remote Sensing.Vol. 215, pp. 192-213.

[322] Fernández-Arango, D., Varela-García, F.-A. & Esmorís, 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.Vol. 7 (3), pp. 1441-1461.

[321] Höfle, B. (2024): Measuring and Understanding the World Through Geoinformatics Using the Example of Natural Hazards. In: Schweiker, M., Hass, J., Novokhatko, A. & Halbleib, R. Measurement and Understanding in Science and Humanities: Interdisciplinary Approaches, pp. 177-190. Springer Fachmedien Wiesbaden.

[320] Höfle, B., Tabernig, R., Zahs, V., Esmorís, 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. Vol. EGU24, pp. 1-2.

[319] Olivier, G., Van De Wiel, M.J., Castillo, C., Vallejo Orti, M. & de Clercq, W.P. (2024): Giving gully detection a HAND – Testing the scalability and transferability of a semi-automated object-orientated approach to map permanent gullies. CATENA.Vol. 236, pp. 107706.

[318] 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.Vol. 12, pp. 100059.

[317] 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., Terryn, L., Coops, N., Höfle, B., 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., Torresan, C., Tomelleri, E., Weiser, H. & Astrup, R. (2024): Benchmarking tree species classification from proximally-sensed laser scanning data: introducing the FOR-species20K dataset. arXiv.Vol. preprint, pp. 1-24.

[316] Rutzinger, M., Eltner, A., Gevaert, C., Höfle, B., Lindenbergh, R., Mayr, A., Nopens, L.-S., Oude Elberink, S. & Pirotti, F. (2024): Sensing Mountains: Innsbruck Summer School of Alpine Research 2024 – Close Range Sensing Techniques in Alpine Terrain. pp. 1-156. ISBN: 978-3-99106-137-3.

[315] 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.Vol. 57 (1), pp. 1-18.

[314] 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. Vol. EGU24, pp. 1-2.

[313] Vallejo, 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.Vol. 49 (3), pp. 1135-1155.

[312] Weiser, H., Esmorís, A.M. & Höfle, B. (2024): How Tree Movement Influences Tree Metrics Derived from Laser Scanning Point Clouds. In: EGU General Assembly 2024. Vol. EGU24, pp. 1-2.

[311] Weiser, H. & Höfle, B. (2024): Advancing vegetation monitoring with virtual laser scanning of dynamic scenes (VLS-4D): Opportunities, implementations and future perspectives. EarthArXiv. DOI: 10.31223/X51Q5V.

[310] Weiser, H., Ulrich, V., Winiwarter, L., Esmorís, A.M. & Höfle, B. (2024): Manually labeled terrestrial laser scanning point clouds of individual trees for leaf-wood separation. heiDATA. DOI: 10.11588/data/UUMEDI.

[309] 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. Vol. EGU24, pp. 1-2.

[308] 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. Vol. EGU23, pp. 1-1.

[307] 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: Proceedings of 5th Virtual Geoscience Conference (VGC). pp. 14-15.

[306] 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: 10th EARSeL Workshop on Land Ice and Snow. pp. 1-1.

[304] Hartl, L., Zieher, T., Bremer, M., Stocker-Waldhuber, M., Zahs, V., Höfle, B., Klug, C. & Cicoira, A. (2023): Multisensor monitoring and data integration reveal cyclical destabilization of Äußeres Hochebenkar Rock Glacier. Earth Surface Dynamics.Vol. 11, pp. 117-147.

[303] 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: 01.01.2020-31.03.2024. Final Project Report, No. FKZ BMBF 03G0890A-E,pp. 1-120.DOI: 10.2314/KXP:1885697937.

[302] 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. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences.Vol. XLVIII-1/W2-2023, pp. 989-996.

[301] 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: Proceedings of 5th Virtual Geoscience Conference (VGC). pp. 114-115.

[300] 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: An International Journal of Forest Research. Vol. 2023, pp. 1-19.

[299] Schäfer, J., Winiwarter, L., Weiser, H., Novotný, J., Höfle, B., Schmidtlein, S., Henniger, H., Krok, G., Stereńczak, K. & Fassnacht, F.E. (2023): Assessing the potential of synthetic and ex situ airborne laser scanning and ground plot data to train forest biomass models. Forestry: An International Journal of Forest Research.Vol. 2023, pp. 1-19.

[297] 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: Proceedings of 5th Virtual Geoscience Conference (VGC). pp. 101-102.

[296] 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]. heiDATA. DOI:10.11588/data/UCPTP1.

[295] 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. Vol. 11 (4), pp. 593-613.

[294] 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. Vol. 122, pp. 103406.

[293] Anders, K., Eberlein, S. & Höfle, B. (2022): Hourly Terrestrial Laser Scanning Point Clouds of Snow Cover in the Area of the Schneeferner, Zugspitze, Germany. PANGAEA. DOI: 10.1594/PANGAEA.941550.

[292] Anders, K. & Höfle, B. (2022): ER3DS - Emissionsreduktion in Smart Cities mit räumlicher 3D-Erfassung und Analyse. Final Project Report, No. FKZ 01DO19001, Heidelberg University, pp. 1-18. DOI: 10.11588/heidok.00031672.

[291] Anders, K., Weise, T., Aeschbach, N. & Höfle, B. (2022): Strategies of Managing Urban Tree Vegetation: A Study of Cities in Taiwan. Technical Report, Heidelberg University, pp. 1-30. DOI: 10.11588/heidok.00031780.

[290] 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. Vol. 19, pp. 1-5.

[289] 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. Vol. EGU22, pp. 1-2.

[288] 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. In: 41. Wissenschaftlich-Technische Jahrestagung der DGPF.

[287] 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. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XLIII-B2-2022, pp. 973-980.

[286] 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. DOI: 10.5446/60175.

[285] 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. Vol. 29 (4), pp. 503-524.

[284] Esmorís, 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. Vol. 10, pp. 105052-105073.

[283] 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. Vol. 47 (11), pp. 2726-2739.

[282] Höfle, B. (2022): Unter Beobachtung - Umweltmodelle in 4D. Ruperto Carola. Vol. 19, pp. 43-49. DOI: 10.17885/heiup.ruca.2022.19.24506.

[281] Höfle, B. (2022): Virtual Laser Scanning - Simulation of Synthetic 3D/4D Point Clouds. In: Sensing Mountains: Innsbruck Summer School of Alpine Research 2022 – Close Range Sensing Techniques in Alpine Terrain. Vol. 2022, pp. 32-34.

[280] Hulskemper, D., Anders, K., Antolínez, J.A. Á., Kuschnerus, M., Höfle, B. & Lindenbergh, R. (2022): Characterization of Morphological Surface Activities derived from Near-Continuous Terrestrial LiDAR Time Series. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XLVIII-2/W2-2022, pp. 53-60.

[279] Rutzinger, M., Anders, K., Bremer, M., Eltner, A., Höfle, B., Lindenbergh, R., Mayr, A., Oude Elberink, S., Pirotti, F., Tolksdorf, H. & Zieher, T. (2022): Sensing Mountains: Innsbruck Summer School of Alpine Research 2022 – Close Range Sensing Techniques in Alpine Terrain. pp. 1-130. ISBN: 978-3-99106-081-9.

[278] 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. FOSSGIS e.V..

[277] 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. heiDATA. DOI:10.11588/data/TJNQZG.

[276] 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. Vol. 9 (1), pp. 191.

[275] 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. Vol. 14 (7), pp. 2989-3012.

[274] 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. PANGAEA. DOI:10.1594/PANGAEA.942856.

[273] 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. FOSSGIS e.V..

[272] 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. PANGAEA. DOI:10.1594/PANGAEA.947038.

[271] 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. PANGAEA. DOI:10.1594/PANGAEA.949228.

[270] Winiwarter, L., Anders, K., Schröder, D. & Höfle, B. (2022): Virtual Laser Scanning of Dynamic Scenes Created From Real 4D Topographic Point Cloud Data. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. V-2-2022, pp. 79-86.

[269] Winiwarter, L., Anders, K., Schröder, D. & Höfle, B. (2022): Full 4D Change Analysis of Topographic Point Cloud Time Series using Kalman Filtering. Earth Surface Dynamics Discussions. Vol. 2022, pp. 1-25.

[268] 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. Vol. 269, pp. 112772.

[267] 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. Vol. EGU22, pp. 1-2.

[266] 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. Vol. EGU22, pp. 1-2.

[265] 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. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XLIII-B2-2022, pp. 1109-1116.

[264] 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. Vol. 183, pp. 541-559.

[263] 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]. heiDATA. DOI:10.11588/data/1L11SQ.

[262] Anders, K., Winiwarter, L., Mara, H., Lindenbergh, R., Vos, S.E. & 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. Vol. 173, pp. 297-308.

[261] Anders, K., Winiwarter, L., Mara, H., Lindenbergh, R.C., Vos, S.E. & Höfle, B. (2021): Influence of Spatial and Temporal Resolution on Time Series-Based Coastal Surface Change Analysis Using Hourly Terrestrial Laser Scans. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. V-2-2021, pp. 137-144.

[260] 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 and Tillage Research. Vol. 212, pp. 105041.

[259] Erickson, A., Kumar, S.V., Hudson, D.I., 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. Vol. AGU21, (B15G-1499) pp. 1-1.

[258] Fassnacht, F.E., Schäfer, J., Weiser, H., Winiwarter, L., Krasovec, 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. Vol. EGU21, pp. 1-2.

[257] Klonner, C., Usón, T.J., Aeschbach, N. & Höfle, B. (2021): Participatory Mapping and Visualization of Local Knowledge: An Example from Eberbach, Germany. International Journal of Disaster Risk Science. Vol. 12 (1), pp. 56-71.

[256] Kohns, 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. Vol. EGU21, pp. 1-2.

[255] Vallejo Orti, M., Castillo, C., Bubenzer, O. & Höfle, B. (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. Vol. AGU21, (NH22A-04) pp. 1-1.

[254] Vallejo Orti, M., Höfle, B., Bubenzer, O. & Negussie, K. (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. Vol. AGU21, (GC43E-08) pp. 1-1.

[253] 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. Vol. 14, pp. 607-623.

[252] Rutzinger, M., Albrechtová, 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: 15. Jahrestag AK Hochschullehre Geographie. Vol. 15, pp. 1-1.

[251] Ulrich, V., Williams, J.G., 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. Vol. 9 (1), pp. 19-28.

[250] 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. PANGAEA. DOI:10.1594/PANGAEA.934058.

[249] 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]. heiDATA. DOI:10.11588/data/MZBO7T.

[248] 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. Vol. 265, pp. 112641.

[247] 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. Vol. EGU21, pp. 1-2.

[246] 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. Vol. 172, pp. 95-113.

[245] 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. Vol. 178, pp. 240-258.

[244] Zahs, V., Herfort, B., Kohns, 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. Vol. EGU21, pp. 1-2.

[243] 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]. heiDATA. DOI:10.11588/data/TGSVUI.

[242] 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. Vol. 45 (7), pp. 1589-1600.

[241] Anders, K., Winiwarter, L., Lindenbergh, R., Williams, J.G., Vos, S.E. & Höfle, B. (2020): 4D objects-by-change: Spatiotemporal segmentation of geomorphic surface change from LiDAR time series. ISPRS Journal of Photogrammetry and Remote Sensing. Vol. 159, pp. 352-363.

[240] Anders, K., Winiwarter, L., Mara, H., Lindenbergh, R.C., Vos, S.E. & Höfle, B. (2020): Einfluss der zeitlichen Auflösung auf die raumzeitliche Segmentierung geomorphologischer Änderungsprozesse in 3D-Punktwolken. In: 40. Wissenschaftlich-Technische Jahrestagung der DGPF. Vol. 29, pp. 312-316.

[239] Backes, D., Smigaj, M., Schimka, M., Zahs, V., Grznárová, A. & Scaioni, M. (2020): River Morphology Monitoring of a Small-Scale Alpine Riverbed Using Drone Photogrammetry and LiDAR. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XLIII-B2-2020, pp. 1017-1024.

[238] 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. In: Proceedings of the 3D Tree Models for Forest Dynamics. Vol. 2020, pp. 1-1.

[237] 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. Vol. 59, pp. 102215.

[236] 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. In: AGU Fall Meeting 2020.

[235] Herfort, B., Anders, K., Marx, S., Eberlein, S. & Höfle, B. (2020): 3D Micro-Mapping of Subsidence Stations [Source Code and Data]. heiDATA. DOI:10.11588/data/OU8YA1.

[234] 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. Vol. 29, pp. 290-298.

[233] Monyer, H. & Höfle, B. (2020): Der Beginn einer großen Ära. Mit - und Gegeneinander: Geist und Software. Ruperto Carola. Vol. 16, pp. 7-15.

[232] 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 Terrain - 3rd Edition. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XLIII-B5-2020, pp. 243-250.

[231] 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. Vol. 2020, pp. 1-15.

[230] 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. Vol. 9 (2), pp. 1-27.

[229] 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. Vol. 29, pp. 373-380.

[228] 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. ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. V-2-2020, pp. 789-796.

[227] Anders, K., Lindenbergh, R.C., Vos, S.E., Mara, H., de Vries, S. & Höfle, B. (2019): High-frequency 3D Geomorphic Observation using Hourly Terrestrial Laser Scanning Data of a Sandy Beach. ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. IV-2/W5, pp. 317-324.

[226] 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. PANGAEA. DOI:10.1594/PANGAEA.902503.

[225] Antonova, S., Beck, I., Marx, S., Anders, K., Boike, J. & Höfle, B. (2019): PermaSAR : Entwicklung einer Methode zur Detektion von Subsidenz in Permafrostgebieten mit D-InSAR : Schlussbericht. Final Project Report, No. FKZ 50EE1418, Heidelberg, pp. 1-77. DOI: 10.2314/KXP:167848864X.

[224] Antonova, S., Thiel, C., Höfle, B., Anders, K., Helm, V., Zwieback, S., Marx, S. & Boike, J. (2019): Estimating tree height from TanDEM-X data at the northwestern Canadian treeline. Remote Sensing of Environment. Vol. 231, pp. 111251.

[223] Boike, J., Nitzbon, J., Anders, K., Grigoriev, M., Bolshiyanov, D., Langer, M., Lange, S., Bornemann, N., Morgenstern, A., Schreiber, P., Wille, C., Chadburn, S., Gouttevin, I., Burke, E. & Kutzbach, L. (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. Vol. 11 (1), pp. 261-299.

[222] Bürck, S. (2019): 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. Master Thesis, Ruprecht-Karls-Universität Heidelberg, Germany, pp. 1-111.

[221] 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. Vol. 16 (7), pp. 1-12.

[220] Eberlein, S., Anders, K. & Höfle, B. (2019): Kontinuierliches Schneedecken-Monitoring mittels Zeitserien von 3D-Punktwolken aus automatischem terrestrischem Laserscanning. In: UFS Wissenschaftliche Resultate 2017/2018, Vol. n/a, pp. 66-69. Umweltforschungsstation Schneefernerhaus GmbH.

[219] Ghamisi, P., Rasti, B., Yokoya, N., Wang, Q., Höfle, B., Bruzzone, L., Bovolo, F., Chi, M., Anders, K., Gloaguen, R., Atkinson, P.M. & Benediktsson, J.A. (2019): Multisource and Multitemporal Data Fusion in Remote Sensing: A Comprehensive Review of the State of the Art. IEEE Geoscience and Remote Sensing Magazine. Vol. 7 (1), pp. 6-39.

[218] Herzog, M., Anders, K., Höfle, B. & Bubenzer, O. (2019): Multi-method investigation of star dunes in Morocoo (Erg Chebbi): topography, stratigraphy and implications for OSL-sampling. In: Geophysical Research Abstracts. Vol. 21, pp. 1-1.

[217] Höfle, B. (2019): Virtual Laser Scanning - Simulation of Synthetic 3D Point Clouds. In: Proceedings of the Innsbruck Summer School of Alpine Research 2019. Vol. 2019, pp. 14-15.

[216] Höfle, B. & Anders, K. (2019): Auto3Dscapes - Autonomous 3D Earth Observation of Dynamic Landscapes. In: Zipf, A., Growe, A., Schmidt, S. & Klonner, C. Heidelberger Geographische Gesellschaft (HGG) Journal, Vol. 33, pp. 54-56.

[215] Höfle, B., Anders, K., Antonova, S., Boike, J. & Marx, S. (2019): PermaSAR - Entwicklung einer Methode zur Detektion von Subsidence in Permafrostgebieten mit D-InSAR. In: Zipf, A., Growe, A., Schmidt, S. & Klonner, C. Heidelberger Geographische Gesellschaft (HGG) Journal, Vol. 33, pp. 57-60.

[214] Höfle, B. & Klonner, C. (2019): Neogeographie einer Digitalen Erde: Geo-Informatik als methodische Brücke in der interdisziplinären Naturgefahrenanalyse (NEOHAZ). In: Heidelberger Akademie der Wissenschaften: Jahrbuch 2018, pp. 351-353.

[213] Höfle, B., Winiwarter, L. & Anders, K. (2019): 3D Micro-Mapping: Crowdsourcing to Support Image and 3D Point Cloud Analysis. In: Proceedings of the 57th Photogrammetric Week. Vol. 2019, pp. 1-4.

[212] Kumar, A., Anders, K., Winiwarter, L. & Höfle, B. (2019): Feature Relevance Analysis for 3D Point Cloud Classification using Deep Learning. ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. IV-2/W5, pp. 373-380.

[211] 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. PANGAEA. DOI:10.1594/PANGAEA.902042.

[210] 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 of the Rotmoos valley bottom near Obergurgl, Austria with coordinates of corresponding ground control points acquired during the Innsbruck Summer School of Alpine Research 2015 and 2017. PANGAEA. DOI:10.1594/PANGAEA.898939.

[209] 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. PANGAEA. DOI:10.1594/PANGAEA.901293.

[208] 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. Vol. 30 (3), pp. 385-398. Cambridge University Press.

[207] Schäfer, J., Fassnacht, F., Höfle, B. & Weiser, H. (2019): Das SYSSIFOSS-Projekt: Synthetische 3D-Fernerkundungsdaten für verbesserte Waldinventurmodelle. In: 2. Symposium zur angewandten Satellitenerdbeobachtung. Cologne, Germany pp. 1-1.

[206] 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. Vol. 11 (11), pp. 1-22.

[205] 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: Earth Surface. Vol. 124 (12), pp. 2841-2853.

[204] Winiwarter, L., Mandlburger, G., Schmohl, S. & Pfeifer, N. (2019): Classification of ALS Point Clouds Using End-to-End Deep Learning. PFG - Journal of Photogrammetry, Remote Sensing and Geoinformation Science. Vol. 87 (3), pp. 75-90.

[203] 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. Vol. 30 (3), pp. 222-238.

[202] 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. PANGAEA. DOI:10.1594/PANGAEA.888566.

[201] 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). PANGAEA. DOI:10.1594/PANGAEA.894884.

[200] 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. In: Geophysical Research Abstracts. Vol. 20, pp. 1-1.

[199] Crommelinck, S., Höfle, B., Koeva, M.N., Yang, M.Y. & Vosselman, G. (2018): Interactive Cadastral Boundary Delineation from UAV Data. ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. IV-2, pp. 81-88.

[198] Drews, T., Miernik, G., Anders, K., Höfle, B., Profe, J., Emmerich, A. & 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. Vol. 109, pp. 19-31.

[197] Hämmerle, M. & Höfle, B. (2018): Introduction to LiDAR in Geoarchaeology from a Technological Perspective. In: Siart, C., Forbriger, M. & Bubenzer, O. Digital Geoarchaeology: New Techniques for Interdisciplinary Human-Environmental Research, pp. 167-182. Springer International Publishing.

[196] Hämmerle, M. & Höfle, B. (2018): Mobile low-cost 3D camera maize crop height measurements under field conditions. Precision Agriculture. Vol. 19 (4), pp. 630-647.

[195] 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. Vol. 137, pp. 73 -83.

[194] Höfle, B., Klonner, C., Marx, S. & Usón, T. (2018): Neogeographie einer Digitalen Erde: Geo-Informatik als methodische Brücke in der interdisziplinären Naturgefahrenanalyse (NEOHAZ). In: Heidelberger Akademie der Wissenschaften: Jahrbuch 2017, pp. 306-308.

[193] 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. Vol. 7 (9), pp. 1-19.

[192] Koma, Z., Höfle, B., Koenig, K., Lukač, N., Hämmerle, M., Kovacs, J. & Folly-Ritvay, Z. (2018): Virtual Laser Scanning for the Analysis of Platform-Related Effects in Urban Tree Species Classification. In: PFGK18: Photogrammetrie - Fernerkundung - Geoinformatik - Kartographie - 2018. Munich, Germany pp. 1-1.

[191] Raun, K.H.M., 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: Siart, C., Forbriger, M. & Bubenzer, O. Digital Geoarchaeology: New Techniques for Interdisciplinary Human-Environmental Research, pp. 201-212. Springer International Publishing.

[190] 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. Vol. 225, pp. 176 -191.

[189] Roelens, J., Höfle, B., Dondeyne, S., Orshoven, J.V. & Diels, J. (2018): Drainage ditch extraction from airborne LiDAR point clouds. ISPRS Journal of Photogrammetry and Remote Sensing. Vol. 146, pp. 409-420.

[188] 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. ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. IV-2, pp. 239-246.

[187] 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. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XLII-3, pp. 1503-1510.

[186] Bechtold, S., Hämmerle, M. & Höfle, B. (2017): The Heidelberg LiDAR Operations Simulator HELIOS as a Supporting Tool for Capturing and Preserving Cultural Heritage. In: 37. Wissenschaftlich-Technische Jahrestagung der DGPF. Würzburg, Germany pp. 1-2.

[185] Chu, H.-J., Huang, M.-L., Tain, Y.-C., 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. Vol. 6 (11), pp. 1-13.

[184] Ghamisi, P. & Höfle, B. (2017): LiDAR Data Classification Using Extinction Profiles and a Composite Kernel Support Vector Machine. IEEE Geoscience and Remote Sensing Letters. Vol. 14 (5), pp. 659-663.

[183] Ghamisi, P., Zhu, X. & Höfle, B. (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. Vol. 10 (6), pp. 3011-3024.

[182] Griesbaum, L., Marx, S. & Höfle, B. (2017): Direct local building inundation depth determination in 3D point clouds generated from user-generated flood images. Natural Hazards and Earth System Sciences. Vol. 17 (7), pp. 1191-1201.

[181] Hämmerle, M., Lukač, N., Chen, K.-C., Koma, Z., Wang, C.-K., Anders, K. & Höfle, B. (2017): Simulating Various Terrestrial and UAV LiDAR Scanning Configurations for Understory Forest Structure Modelling. ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. IV-2/W4, pp. 59-65.

[180] Höfle, B. (2017): Messen und Verstehen der Welt durch die Geoinformatik am Beispiel von Naturgefahren. In: Schweiker, M., Hass, J., Novokhatko, A. & Halbleib, R. Messen und Verstehen in der Wissenschaft: Interdisziplinäre Ansätze, pp. 207-223. Springer Fachmedien Wiesbaden.

[179] Höfle, B., Herfort, B., Kaibel, M., Eberlein, S. & Hillen, F. (2017): Citizen Science in Schulen: Entwicklung von 3D-MicroMapping zur Klassifikation von 3D-Punktwolken. In: 37. Wissenschaftlich-Technische Jahrestagung der DGPF. Würzburg, Germany pp. 1-1.

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[177] Klonner, C., Eckle, M., Usón, T. & Höfle, B. (2017): Quality Improvement of Remotely Volunteered Geographic Information via Country-Specific Mapping Instructions. In: Proceedings of ISCRAM 2017 - 14th International Conference on Information Systems for Crisis Response And Management. Albi, France pp. 939-947.

[176] 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. Vol. 14 (8), pp. 1388-1392.

[175] Lin, T.-P., Lin, F.-Y., Wu, P.-R., Hämmerle, M., Höfle, B., Bechtold, S., Hwang, R.-L. & Chen, Y.-C. (2017): Multiscale Analysis and Reduction Measures of Urban Carbon Dioxide Budget Based on Building Energy Consumption. Energy and Buildings. Vol. 153, pp. 356-367.

[174] 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. Vol. 2017, pp. 1-31.

[173] Profe, J. & Höfle, B. (2017): Detectability and geomorphometry of tufa barrages in a small forested karstic river using airborne LiDAR topo-bathymetry. In: Geophysical Research Abstracts. Vol. 19, pp. 1-1.

[172] 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. In: 37. Wissenschaftlich-Technische Jahrestagung der DGPF. Würzburg, Germany pp. 1-1.

[171] 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. ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. III-5, pp. 105-112.

[170] 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: Proceedings of 2nd Virtual Geoscience Conference. Bergen, Norway pp. 57-58.

[169] 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 and Stationary Platforms. ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. III-3, pp. 161-168.

[168] Beck, I., Marx, S., Boike, J. & Höfle, B. (2016): PermaSAR – Improving TanDEM-X D-InSAR techniques for the detection of small-scale vertical movements in arctic permafrost regions. In: XI. International Conference on Permafrost (ICOP). Potsdam, Germany pp. 862-862.

[167] Crommelinck, S. & Höfle, B. (2016): Simulating an Autonomously Operating Low-Cost Static Terrestrial LiDAR for Multitemporal Maize Crop Height Measurements. Remote Sensing. Vol. 8 (3), pp. 1-17.

[166] Eitel, J.U.H., Höfle, B., Vierling, L.A., Abellán, A., Asner, G.P., Deems, J.S., Glennie, C.L., Joerg, P.C., LeWinter, A.L., Magney, T.S., Mandlburger, G., Morton, D.C., Müller, J. & Vierling, K.T. (2016): Beyond 3-D: The New Spectrum of LiDAR Applications for Earth and Ecological Sciences. Remote Sensing of Environment. Vol. 186, pp. 372-392.

[165] Hämmerle, M. & Höfle, B. (2016): Direct Derivation of Maize Plant and Crop Height from Low-Cost Time-of-Flight Camera Measurements. Plant Methods. Vol. 12 (1), pp. 50.

[164] 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. Vol. 10 (2), pp. 026029.

[163] Hillen, F., Gerdes, M., Herfort, B. & Höfle, B. (2016): 3D-MicroMapping: Crowdsourcing zur Klassifikation von 3D-Geodaten. AGIT - Journal für Angewandte Geoinformatik. Vol. 2, pp. 156-161.

[162] Höfle, B., Canli, E., Schmitz, E., Crommelinck, S., Hoffmeister, D. & Glade, T. (2016): 4D Near Real-Time Environmental Monitoring Using Highly Temporal LiDAR. In: Geophysical Research Abstracts. Vol. 18, pp. 1-1.

[161] Höfle, B., Klonner, C., Marx, S. & Usón, T. (2016): Neogeographie einer Digitalen Erde: Geo-Informatik als methodische Brücke in der interdisziplinären Naturgefahrenanalyse (NEOHAZ). In: Heidelberger Akademie der Wissenschaften: Jahrbuch 2015, pp. 271-274.

[160] Höfle, B. & Marx (2016): Partizipative 3D-Datenerfassung mit Smartphones in der Landwirtschaft - Ein Vergleich mit Terrestrischem Laserscanning. In: 36. Wissenschaftlich-Technische Jahrestagung der DGPF. Bern, Switzerland pp. 1-1.

[159] 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: Proceedings of the ISCRAM 2016 Conference. Rio de Janeiro, Brazil pp. 1-14.

[158] Klonner, C., Marx, S., Usón, T., Porto de Albuquerque, J. & 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. Vol. 5 (7), pp. 103.

[157] Koenig, K. & Höfle, B. (2016): Full-Waveform Airborne Laser Scanning in Vegetation Studies - Review of Point Cloud and Waveform Features for Tree Species Classification. Forests. Vol. 7 (9), pp. 198.

[156] Koma, Z., Koenig, K. & Höfle, B. (2016): Urban Tree Classification Using Full-Waveform Airborne Laser Scanning. ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. III-3, pp. 185-192.

[155] Koma, Z., Székely, B., Folly-Ritvay, Z., Skobrák, F., Koenig, K. & Höfle, B. (2016): Automated identification and geometrical features extraction of individual trees from Mobile Laser Scanning data in Budapest. In: Geophysical Research Abstracts. Vol. 18, pp. 1-1.

[154] Malinowski, R., Höfle, B., Koenig, K., Groom, G., Schwanghart, W. & Heckrath, G. (2016): Local-scale flood mapping on vegetated floodplains from radiometrically calibrated airborne LiDAR data. ISPRS Journal of Photogrammetry and Remote Sensing. Vol. 119, pp. 267-279.

[153] 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. Vol. 11 (4), pp. 1-22.

[152] Pattee, A., Höfle, B. & Seitz, C. (2016): Integrative 3D Recording Methods of Historic Architecture - Burg Hohenecken from Southwest Germany. In: Digital Humanities 2016. Kraków, Poland pp. 1-2.

[151] Profe, J., Höfle, B., Hämmerle, M., Steinbacher, F., Yang, M.-S., 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. Vol. 127 (6), pp. 664-675.

[150] 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. ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. III-6, pp. 15-22.

[149] 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. Vol. 66, pp. 62-72.

[148] Canli, E., Höfle, B., Hämmerle, M., Thiebes, B. & Glade, T. (2015): Permanent 3D laser scanning system for an active landslide in Gresten (Austria). In: Geophysical Research Abstracts. Vol. 17, pp. 1-1.

[147] Canli, E., Thiebes, B., Höfle, B. & Glade, T. (2015): Permanent 3D Laser Scanning System for Alpine Hillslope Instabilities. In: 6th International Conference on Debris-Flow Hazards Mitigation (DFHM): Mechanics, Prediction and Assessment. Tsukuba, Japan pp. 1-1.

[146] Gündra, H., Barron, C., Henrichs, T., Jäger, S., Höfle, B., Marx, S., Peters, R., Reimer, A. & Zipf, A. (2015): Standortkataster für Lärmschutzanlagen mit Ertragsprognose für potenzielle Photovoltaik-Anwendungen. Berichte der Bundesanstalt für Straßenwesen (BASt), Heft V 252, pp. 1-48. ISBN: 978-3-95606-150-9

[145] Hämmerle, M., Schütt, F. & Höfle, B. (2015): Terrestrial and UAS-borne Imagery for Quarry Monitoring with Low-Cost Structure from Motion. In: 35. Wissenschaftlich-Technische Jahrestagung der DGPF. Cologne, Germany pp. 1-2.

[144] 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. In: 9th Symposium of the International Society for Digital Earth (ISDE). Halifax, Canada pp. 1-1.

[143] 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. Vol. 40, pp. 29-38.

[142] 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. Vol. 4 (2), pp. 974-988.

[141] Höfle, B., Forbriger, M., Klonner, C., Marx, S. & Usón, T. (2015): Neogeographie einer Digitalen Erde: Geo-Informatik als methodische Brücke in der interdisziplinären Naturgefahrenanalyse (NEOHAZ). In: Heidelberger Akademie der Wissenschaften: Jahrbuch 2014, pp. 259-264.

[140] Höfle, B., Koenig, K., Griesbaum, L., Kiefer, A., Hämmerle, M., Eitel, J. & Koma, Z. (2015): LiDAR Vegetation Investigation and Signature Analysis System (LVISA). In: Geophysical Research Abstracts. Vol. 17, pp. 1-1.

[139] 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. Vol. 8 (2), pp. 153-171.

[138] Koenig, K., Höfle, B., Hämmerle, M., Jarmer, T., Siegmann, B. & Lilienthal, H. (2015): Comparative classification analysis of post-harvest growth detection from terrestrial LiDAR point clouds in precision agriculture. ISPRS Journal of Photogrammetry and Remote Sensing. Vol. 104 (0), pp. 112-125.

[137] Pattee, A., Höfle, B. & Seitz, C. (2015): Integrative 3D recording methods of historic architecture Burg Hohenecken castle from southwest Germany. In: IEEE Digital Heritage 2015. Vol. 1, pp. 95-98.

[136] Phalkey, R.K., Aranda-Jan, C., Marx, S., Höfle, B. & Sauerborn, R. (2015): Systematic review of current efforts to quantify the impacts of climate change on undernutrition. Proceedings of the National Academy of Sciences. Vol. 112 (33), pp. E4522-E4529.

[135] Tomljenovic, I., Höfle, B., Tiede, D. & Blaschke, T. (2015): Building Extraction from Airborne Laser Scanning Data: An Analysis of the State of the Art. Remote Sensing. Vol. 7 (4), pp. 3826-3862.

[134] Belgiu, M., Tomljenovic, I., Lampoltshammer, T.J., Blaschke, T. & Höfle, B. (2014): Ontology-Based Classification of Building Types Detected from Airborne Laser Scanning Data. Remote Sensing. Vol. 6 (2), pp. 1347-1366.

[133] Dorn, H., Vetter, M. & Höfle, B. (2014): GIS-Based Roughness Derivation for Flood Simulations: A Comparison of Orthophotos, LiDAR and Crowdsourced Geodata. Remote Sensing. Vol. 6 (2), pp. 1739-1759.

[132] Hämmerle, M. & Höfle, B. (2014): Effects of Reduced Terrestrial LiDAR Point Density on High-Resolution Grain Crop Surface Models in Precision Agriculture. Sensors. Vol. 14 (12), pp. 24212-24230.

[131] Hämmerle, M., Höfle, B., Fuchs, J., Schröder-Ritzrau, A., Vollweiler, N. & Frank, N. (2014): Comparison of Kinect and Terrestrial LiDAR Capturing Natural Karst Cave 3D Objects. IEEE Geoscience and Remote Sensing Letters. Vol. 11 (11), pp. 1896-1900.

[130] Hämmerle, M., Höfle, B., Fuchs, J., Schröder-Ritzrau, A., Vollweiler, N. & Frank, N. (2014): Point clouds of measurements in the Dechen Cave near Iserlohn, Germany. PANGAEA. DOI:10.1594/PANGAEA.830567.

[129] Hämmerle, M., Höfle, B., Fuchs, J., Schröder-Ritzrau, A., Vollweiler, N. & Frank, N. (2014): Point cloud of a stalagmite measured with a terrestrial laser scanner. PANGAEA. DOI:10.1594/PANGAEA.830566.

[128] Hämmerle, M., Höfle, B., Fuchs, J., Schröder-Ritzrau, A., Vollweiler, N. & Frank, N. (2014): Point cloud of a flowstone wall measured with a structured light camera. PANGAEA. DOI:10.1594/PANGAEA.830561.

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[125] Hillen, F., Ehlers, M., Höfle, B. & Reinartz, P. (2014): Real-time Geo-Information Fusion as one key aspect of Digital Earth. In: Proceedings of 34th EARSeL Symposium. Warsaw, Poland pp. 127-127.

[124] Hillen, F. & Höfle, B. (2014): Fast-Echtzeit vs. Echtzeit - die Auswirkungen von Echtzeit-Datenintegration am Beispiel einer agentenbasierten Modellierung im GIS. In: Strobl, J., Blaschke, T., Griesebner, G. & Zagel, B. Angewandte Geoinformatik 2014, pp. 658-663. Wichmann.

[123] 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. Vol. 5 (1), pp. 54-69.

[122] 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: IOP Conference Series: Earth and Environmental Science. Vol. 18, (1) pp. 1-6.

[121] Hillen, F., Höfle, B. & de Lange, N. (2014): Real-time geodata integration using the example of agent-based modelling. In: Proceedings of the GEO Business 2014. London, UK pp. 1-1.

[120] Höfle, B. (2014): Radiometric Correction of Terrestrial LiDAR Point Cloud Data for Individual Maize Plant Detection. IEEE Geoscience and Remote Sensing Letters. Vol. 11 (1), pp. 94-98.

[119] Klonner, C. & Höfle, B. (2014): Fusion von 3D-Fernerkundungsdaten und nutzergenerierter Geoinformation aus dem Web für die Aktualisierung von 3D-Höhenmodellen in Stadtgebieten. In: Gerhard, U., Meier, G., Nüsser, M. & Schmidt, S. Heidelberger Geographische Gesellschaft (HGG) Journal, Vol. 28, pp. 45-48.

[118] Malinowski, R., Höfle, B., Koenig, K., Groom, G. & Schwanghart, W. (2014): Mapping of local-scale flooding on vegetated floodplains from radiometrically calibrated airborne laser scanning data. In: Geophysical Research Abstracts. Vol. 16, pp. 1-1.

[117] Marx, S., Phalkey, R., Aranda, C., 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. Vol. 14 (1), pp. 1189-1201.

[116] Nesbitt, R., Gabrysch, S., Laub, A., Soremekun, S., Manu, A., Kirkwood, B., Amenga-Etego, S., Wiru, K., Höfle, B. & Grundy, C. (2014): Methods to measure potential spatial access to delivery care in low- and middle-income countries: a case study in rural Ghana. International Journal of Health Geographics. Vol. 13 (1), pp. 1-13.

[115] Regvat, R., Hämmerle, M., Marx, S., Koenig, K. & Höfle, B. (2014): 3D-punktbasierte Solarpotenzialanalyse für Gebäudefassaden mit freien Geodaten. In: Strobl, J., Blaschke, T., Griesebner, G. & Zagel, B. Angewandte Geoinformatik 2014, pp. 196-204. Wichmann.

[114] Tomljenovic, I., Blaschke, T., Höfle, B. & Tiede, D. (2014): Potential and Idiosyncrasy of Object-Based Image Analysis for Airborne LiDAR-Based Building Detection. South-Eastern European Journal of Earth Observation and Geomatics. Vol. 3 (2S), pp. 517-520.

[113] Bergmann, M. & Höfle, B. (2013): GIS-gestützte Standortplanung von Windenergieanlagen mit freien und amtlichen Geodaten. In: Strobl, J., Blaschke, T., Griesebner, G. & Zagel, B. Angewandte Geoinformatik 2013, pp. 480-489. Wichmann.

[112] Dorn, H., Vetter, M. & Höfle, B. (2013): GIS-basierte Rauigkeitsableitung für Hochwassersimulationen: Eine Sensitivitätsanalyse mit Orthophotos, Laserscanning und freien Geodaten. In: Arbeitskreis-Treffen des AK Fernerkundung der Deutschen Gesellschaft für Geographie (DGfG). Tübingen, Germany pp. 1-2.

[111] Hämmerle, M., Forbriger, M. & Höfle, B. (2013): Multitemporal 3D data capturing and GIS analysis of fluvial processes and geomorphological changes with terrestrial laser scanning. In: Geophysical Research Abstracts. Vol. 15, pp. 1-1.

[110] Hämmerle, M., Forbriger, M. & Höfle, B. (2013): Multitemporale 3D-Erfassung und GIS-Analyse fluvial-geomorphologischer Prozesse mit terrestrischem Laserscanning. In: Proceedings of the Geoinformatik 2013. Heidelberg, Germany pp. 1-8.

[109] Helbich, M. & Höfle, B. (2013): Verbesserung der Vorhersagegenauigkeit von urbanen hedonischen Immobilienpreismodellen durch Laserscanning. In: Gerhard, U., Meier, G., Nüsser, M. & Schmidt, S. Heidelberger Geographische Gesellschaft (HGG) Journal, Vol. 27, pp. 17-19.

[108] 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. Vol. 39 (0), pp. 81-92.

[107] 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. In: Proceedings of 35th International Symposium on Remote Sensing of Environment (ISRSE). Beijing, China pp. 1-6.

[106] Hillen, F. & Höfle, B. (2013): Web-based visibility analysis with LiDAR data. gis.SCIENCE. Vol. 26 (1), pp. 1-7.

[105] Höfle, B. (2013): Geoinformation extraction from 3D pointclouds – current status and future perspective. In: Proceedings of Digital Geoarchaeology 2013. Heidelberg, Germany pp. 11-11.

[104] Höfle, B., Griesbaum, L. & Forbriger, M. (2013): GIS-Based Detection of Gullies in Terrestrial LiDAR Data of the Cerro Llamoca Peatland (Peru). Remote Sensing. Vol. 11 (5), pp. 5851-5870.

[103] Jarmer, T., Siegmann, B., Lilienthal, H., Höfle, B., Selige, T. & Richter, N. (2013): LAI assessing of wheat stands from AISA-DUAL imagery. In: Proceedings of the EARSeL 8th SIG-Imaging Spectroscopy Workshop. Nantes, France pp. 1-5.

[102] Koenig, 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. In: ISPRS Workshop on UAV-based Remote Sensing Methods for Monitoring Vegetation. Cologne, Germany. pp. 1-1.

[101] Koenig, 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. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. II (5/W2), pp. 133-138.

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[99] Koenig, K., Kiefer, A. & Höfle, B. (2013): Laser Scanning for 3D Vegetation Characterization: Web-based Infrastructure for Exploration and Analysis of Vegetation Signatures. In: ISPRS Workshop on UAV-based Remote Sensing Methods for Monitoring Vegetation. Cologne, Germany pp. 1-1.

[98] Miernik, G., Kissner, T., Profe, J., Höfle, B., Bechstädt, T. & Zühlke, R. (2013): LiDAR-basierte Aufschlussanalogmodellierung und Datenextraktion für Reservoirmodelle. In: Proceedings of DGMK/ÖGEW-Frühjahrstagung - Fachbereich Aufsuchung und Gewinnung. Celle, Germany pp. 1-6.

[97] 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). In: Proceedings of the 30th IAS Meeting of Sedimentology. Manchester, UK pp. 1-2.

[96] Peters, R. & Höfle, B. (2013): Solarpotenzialanalyse an vertikalen Strukturen mit ArcGIS und GRASS GIS am Beispiel von Lärmschutzwänden. In: Proceedings of the Geoinformatik 2013. Heidelberg, Germany pp. 1-3.

[94] Siart, C., Forbriger, M., Nowaczinski, E., Hecht, S. & Höfle, B. (2013): Fusion of multi-resolution surface (terrestrial laser scanning) and subsurface geodata (ERT, SRT) for karst landform investigation and geomorphometric quantification. Earth Surface Processes and Landforms. Vol. 38 (10), pp. 1135-1147.

[93] Siegmann, B., Jarmer, T., Lilienthal, H., Richter, N., Selige, T. & Höfle, B. (2013): Comparison of narrow band vegetation indices and empirical models from hyperspectral remote sensing data for the assessment of wheat nitrogen concentration. In: Proceedings of the EARSeL 8th SIG-Imaging Spectroscopy Workshop. Nantes, France pp. 1-6.

[92] Siegmann, B., Jarmer, T., Lilienthal, H., Richter, N., Selige, T. & Höfle, B. (2013): Comparison of narrow band vegetation indices and empirical models from hyperspectral remote sensing data for the assessment of wheat nitrogen concentration. In: ISPRS Workshop on UAV-based Remote Sensing Methods for Monitoring Vegetation. Cologne, Germany pp. 1-1.

[91] 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. In: Geophysical Research Abstracts. Vol. 14, pp. 1-1.

[90] 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. In: Geophysical Research Abstracts. Vol. 14, pp. 1-1.

[89] Hillen, F. & Höfle, B. (2012): Interoperable Web-based 3D Analysis of Laser Scanning Data for Location-based Mobile Applications. In: Proceedings of the Geoinformatik 2012. Braunschweig, Germany pp. 399-402.

[88] Höfle, B. (2012): Nachhaltige Stromerzeugung - Geoinformationen optimieren Solaranlagen. In: Ruperto Carola Forschungsmagazin. Vol. 1/2012, pp. 44-46.

[87] Höfle, B. (2012): Towards Digital Earth - 3D Spatial Data Infrastructures. Scientific Report, No. 13022012, Hengstberger Symposium 2011, 7-8 September, Heidelberg, pp. 1-30.

[86] Höfle, B., Forbriger, M., Siart, C. & Nowaczinski, E. (2012): Fusion of terrestrial LiDAR and tomographic mapping data for 3D karst landform investigation. In: Geophysical Research Abstracts. Vol. 14, pp. 1-1.

[85] Höfle, B., Hollaus, M. & Hagenauer, J. (2012): Urban vegetation detection using radiometrically calibrated small-footprint full-waveform airborne LiDAR data. ISPRS Journal of Photogrammetry and Remote Sensing. Vol. 67 (0), pp. 134-147.

[84] Höfle, B. & Jochem, A. (2012): 3D Laser Scanning Point Clouds and GIS - Current Developments (German title: 3D Laserscanning Punktwolken und GIS - Aktuelle Entwicklungen). gis.SCIENCE. Vol. 25 (2), pp. 91-100.

[83] Höfle, B. & Wagener, O. (2012): Burgen in der Landschaft - Inszenierung und Entzifferung anhand neuer Methoden. In: Wagener, O. Symbole der Macht? Aspekte mittelalterlicher und frühneuzeitlicher Architektur, pp. 123-152. Peter Lang. ISBN: 978-3-631-63967-2

[82] Jochem, A., Höfle, B., Wichmann, V., Rutzinger, M. & Zipf, A. (2012): Area-wide roof plane segmentation in airborne LiDAR point clouds. Computers, Environment and Urban Systems. Vol. 36 (1), pp. 54-64.

[81] Koenig, K. & Höfle, B. (2012): Laser Scanning for 3D Object Characterization: Infrastructure for Exploration and Analysis of Vegetation Signatures. In: Geophysical Research Abstracts. Vol. 14, pp. 1-1.

[80] Lilienthal, H., Richter, N., Jarmer, T., Siegmann, B., Selige, T. & Höfle, B. (2012): Simulation landwirtschaftlicher Online-Sensorik mit Hilfe abbildender Hyperspektraldaten. In: 18. Workshop Computer-Bildanalyse in der Landwirtschaft (=Bornimer Agrartechnische Berichte 78). Osnabrück, Germany pp. 64-72.

[79] Lilienthal, H., Richter, N., Siegmann, B., Jarmer, T., Selige, T. & Höfle, B. (2012): Erzeugung von Bilddaten aus bodengestützten hyperspektralen Feldmessungen. In: 32. Wissenschaftlich-Technische Jahrestagung der DGPF (DGPF-Tagungsband 21). Potsdam, Germany pp. 323-330.

[78] Rutzinger, M., Höfle, B. & Kringer, K. (2012): Accuracy of automatically extracted geomorphological breaklines from airborne LiDAR curvature images. Geografiska Annaler: Series A. Vol. 94 (1), pp. 33-42. Blackwell Publishing Ltd.

[76] Siegmann, B., Jarmer, T., Lilienthal, H., Richter, N., Selige, T. & Höfle, B. (2012): Die Ableitung des Blattflächenindex von Weizenbeständen aus abbildenden Hyperspektraldaten. In: 32. Wissenschaftlich-Technische Jahrestagung der DGPF (DGPF-Tagungsband 21). Potsdam, Germany pp. 339-346.

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[74] Siegmann, B., Jarmer, T., Selige, T., Lilienthal, H., Richter, N. & Höfle, B. (2012): Using hyperspectral remote sensing data for the assessment of topsoil organic carbon from agricultural soils. In: Proceedings of SPIE, Remote Sensing for Agriculture, Ecosystems, and Hydrology XIV. Vol. 8531, pp. 85312C.

[73] 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. In: Proceedings 14th AGILE International Conference on Geographic Information Science. Utrecht, The Netherlands. digital media pp. 1-8.

[72] 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. In: Geophysical Research Abstracts. Vol. 13, pp. 1-1.

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[62] 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. In: Geophysical Research Abstracts. Vol. 13, pp. 1-1.

[61] Rutzinger, M., Höfle, B. & Kringer, K. (2011): Quality of geomorphological breaklines extracted from airborne laser scanning. In: Geophysical Research Abstracts. Vol. 13, pp. 1-1.

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[59] Rutzinger, M., Höfle, B., Vetter, M. & Pfeifer, N. (2011): Digital terrain models from airborne laser scanning for the automatic extraction of natural and anthropogenic linear structures. In: Smith, M., Paron, P. & Griffiths, J.S. Geomorphological Mapping: Methods and Applications, pp. 475-488. Elsevier. ISBN: 978-0444534460

[58] Vetter, M., Gschöpf, G., 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. In: Geophysical Research Abstracts. Vol. 13, pp. 1-1.

[57] Vetter, M., Höfle, B., Hollaus, M., Gschöpf, G., Mandlburger, G., Pfeifer, N. & Wagner, W. (2011): Vertical vegetation structure analysis and hydraulic roughness determination using dense ALS point cloud data - a voxel based approach. In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVIII, (Part 5/W12) digital media pp. 1-6.

[56] 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. Vol. 55 (2), pp. 51-65.

[55] Aubrecht, C., Höfle, B., Hollaus, M., Köstl, M., Steinnocher, K. & Wagner, W. (2010): Vertical roughness mapping - ALS based classification of the vertical vegetation structure in forested areas. In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVIII, (Part 7B) pp. 35-40.

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[52] Hollaus, M. & Höfle, B. (2010): Terrain roughness parameters from full-waveform airborne LiDAR data. In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVIII, (Part 7B) pp. 287-292.

[51] Jochem, A., Hollaus, M., Rutzinger, M., Höfle, B., Schadauer, K. & Maier, B. (2010): Estimation of aboveground biomass using airborne LiDAR data. In: Proceedings of Silvilaser 2010: the 10th International Conference on LiDAR Applications for Assessing Forest Ecosystems. Freiburg, Germany. digital media pp. 1-9.

[50] Jochem, A., Wichmann, V. & Höfle, B. (2010): Large area point cloud based solar radiation modeling. In: Böhner, J., Conrad, O. & Hengl, T. SAGA Third Degree. Hamburger Beiträge zur Physischen Geographie und Landschaftsökologie, Vol. 21

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[48] 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: Zorn, M., Komac, B., Pavšek, M. & Pagon, P. Od razumevanja do upravljanja, pp. 125-137. ISBN: 978-961-254-185-9

[47] Rutzinger, M., Höfle, B., Vetter, M., Stötter, J. & Pfeifer, N. (2010): Classification of breaklines derived from airborne LiDAR data for geomorphological activity mapping. In: Geophysical Research Abstracts. Vol. 12, pp. 1-1.

[46] Rutzinger, M., Rüf, B., Höfle, B. & Vetter, M. (2010): Change detection of building footprints from airborne laser scanning acquired in short time intervals. In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVIII, (Part 7B) pp. 475-480.

[45] Vetter, M., Höfle, B., Mandlburger, G. & Rutzinger, M. (2010): Change detection of riverbed movements using river cross-sections and LiDAR data. In: Geophysical Research Abstracts. Vol. 12, pp. 1-1.

[43] Bell, R., Höfle, B. & Chlaupek, A. (2009): Potential of Terrestrial and Airborne LiDAR in Geomorphology - A Geomorphological Perspective. In: Geophysical Research Abstracts. Vol. 11, pp. 1-1.

[42] 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: Veulliet, E., Stötter, J. & Weck-Hannemann, H. Sustainable Natural Hazard Management in Alpine Environments, pp. 309-344. Springer. ISBN: 978-3-642-03228-8

[41] Höfle, B., Mandlburger, G., Pfeifer, N., Rutzinger, M. & Bell, R. (2009): Potential of Airborne LiDAR in Geomorphology - A Technological Perspective. In: Geophysical Research Abstracts. Vol. 11, pp. 1-1.

[40] 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. In: Car, A., Griesebner, G. & Strobl, J. Geospatial Crossroads @ GI_Forum '09: Proceedings of the Geoinformatics Forum Salzburg, pp. 66-75. Wichmann. ISBN: 978-3-87907-465-5

[39] Höfle, B., Sailer, R., Vetter, M., Rutzinger, M. & Pfeifer, N. (2009): Glacier surface feature detection and classification from airborne LiDAR data. In: Geophysical Research Abstracts. Vol. 11, pp. 1-1.

[38] 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. Vol. 34 (12), pp. 1635-1649. John Wiley & Sons, Ltd.

[37] 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. Vol. 30 (19), pp. 5159-5175. Taylor & Francis.

[36] 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: Proceedings of Silvilaser 2009. College Station, Texas pp. 54-62.

[35] Jochem, A., Höfle, B., Hollaus, M. & Rutzinger, M. (2009): Object detection in airborne LIDAR data for improved solar radiation modeling in urban areas. In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVIII, (Part 3/W8) pp. 1-6.

[34] 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. Vol. 9 (7), pp. 5241-5262. MDPI Publishing.

[33] 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 (HESS). Vol. 13 (8), pp. 1453-1466. Copernicus Publications.

[32] 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. Vol. 61 (7-8), pp. 89-97. Springer.

[31] Pfeifer, N., Briese, C., Mandlburger, G., Höfle, B. & Ressl, C. (2009): State of the art in high accuracy high detail DTMs derived from ALS. In: Geophysical Research Abstracts. Vol. 11, pp. 1-1.

[30] Pfeifer, N., Höfle, B., Hollaus, M. & Mücke, W. (2009): Aktueller Stand und Potenzial von Full-waveform Laserscanning in der Geomorphologie. In: Deutscher Geographentag 2009 - Fachsitzung 62: Möglichkeiten und Grenzen von Laserscanning in der Geomorphologie. Vienna, Austria pp. 1-1.

[29] Sailer, R., Höfle, B., Bollman, E., Vetter, M., Stötter, J., Pfeifer, N., Rutzinger, M. & Geist, T. (2009): Multitemporal error analysis of LiDAR data for geomorphological feature detection. In: Geophysical Research Abstracts. Vol. 11, pp. 1-1.

[28] 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. In: Geophysical Research Abstracts. Vol. 11, pp. 1-1.

[27] 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. In: Geophysical Research Abstract. Vol. 11, pp. 1-1.

[26] Vetter, M., Höfle, B. & Rutzinger, M. (2009): Water classification using 3D airborne laser scanning point clouds. Österreichische Zeitschrift für Vermessung und Geoinformation (VGI). Vol. 97 (2), pp. 227-238.

[25] Wagner, W., Hollaus, M. & Höfle, B. (2009): Terrain characterization and vegetation structural analysis with full-waveform airborne laser scanners. In: Proceedings of Remote Sensing and Photogrammetry Society Annual Conference 2009. Leicester, United Kingdom pp. 208-213.

[23] Briese, C., Höfle, B., Lehner, H., Wagner, W., Pfennigbauer, M. & Ullrich, A. (2008): Calibration of Full-Waveform Airborne Laser Scanning Data for Object Classification. In: Proceedings of SPIE. Vol. 6950, (Paper 6950-19) pp. 69500H1-69500H8.

[22] 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. Edinburgh, Scotland pp. 227-235 (on CD-ROM).

[20] Höfle, B., Pfeifer, N., Ressl, C., Rutzinger, M. & Vetter, M. (2008): Water surface mapping using airborne laser scanning elevation and signal amplitude data. In: Geophysical Research Abstracts. Vol. 10, pp. 1-2.

[19] Pfeifer, N., Höfle, B., Briese, C., Rutzinger, M. & Haring, A. (2008): Analysis of the backscattered energy in terrestrial laser scanning data. In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVII, (Part B5) pp. 1045-1051.

[18] 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. Vol. 8 (8), pp. 4505-4528. MDPI Publishing.

[17] 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: Blaschke, T., Lang, S. & Hay, G. Object-Based Image Analysis - Spatial concepts for knowledge-driven remote sensing applications, pp. 645-662. Springer. ISBN: 978-3-54077-057-2

[16] Vetter, M., Höfle, B., Mandlburger, G. & Rutzinger, M. (2008): Ableitung von Flusssohlenmodellen aus Flussquerprofilen und Integration in Airborne Laserscanning Geländemodelle mit GRASS GIS. In: Strobl, J., Blaschke, T. & Griesebner, G. Angewandte Geoinformatik 2008: Beiträge zum 20. AGIT-Symposium Salzburg, pp. 382-391. Wichmann. ISBN: 978-3-87907-464-8

[15] 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. PhD Thesis, Faculty of Geo- and Atmospheric Sciences, University of Innsbruck, Austria, pp. 1-129.

[14] Höfle, B., Geist, T., Rutzinger, M. & Pfeifer, N. (2007): Glacier surface segmentation using airborne laser scanning point cloud and intensity data. In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVI, (Part 3/W52) pp. 195-200.

[13] Höfle, B. & Pfeifer, N. (2007): Correction of laser scanning intensity data: Data and model-driven approaches. ISPRS Journal of Photogrammetry and Remote Sensing. Vol. 62 (6), pp. 415-433.

[12] Kodde, M., Pfeifer, N., Gorte, B., Geist, T. & Höfle, B. (2007): Automatic glacier surface analysis from airborne laser scanning. In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVI, (Part 3/W52) pp. 221-226 (on CD-ROM).

[11] Rutzinger, M., Höfle, B. & Pfeifer, N. (2007): Detection of high urban vegetation with airborne laser scanning data. In: Proceedings Forestsat 2007. Montpellier, France pp. 1-5 (on CD-ROM).

[10] Edelmaier, F., Höfle, B. & Heller, A. (2006): Konzepte zur 3D Visualisierung von Laserscanner-Daten mit VTK und Python. In: Strobl, J., Blaschke, T. & Griesebner, G. Angewandte Geoinformatik 2006: Beiträge zum 18. AGIT-Symposium Salzburg, pp. 129-134. Wichmann. ISBN: 978-3-87907-437-2

[9] Geist, T., Höfle, B., Kodde, M., Kodde, S., Karimi, F., Lindenbergh, R. & Pfeifer, N. (2006): Experimente am Hintereisferner mit dem terrestrischen Laserscanner Ilris 3D. Technical Report, Institute of Geography, University of Innsbruck, pp. 1-9.

[8] 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. In: Proceedings UDMS 2006: Urban Data Management Symposium. Aalborg, Denmark pp. 7.11-7.23 (on CD-ROM).

[7] Höfle, B., Rutzinger, M. & Pfeifer, N. (2006): Terrestrial Laser Scanner Optech ILRIS 3D - Experiment on the angle of incidence and recorded intensity. Technical Report, Institute of Geography, University of Innsbruck, pp. 1-7.

[6] Rutzinger, M., Höfle, B., Geist, T. & Stötter, J. (2006): Object-based building detection based on airborne laser scanning data within GRASS GIS environment. In: Proceedings UDMS 2006: Urban Data Management Symposium. Aalborg, Denmark pp. 7.37-7.48 (on CD-ROM).

[5] 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. In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVI, (Part 4/C42) pp. 1-5 (on CD-ROM).

[4] Geist, T., Höfle, B., Rutzinger, M. & Stötter, J. (2005): Der Einsatz von flugzeuggestützten Laserscanner Daten für geowissenschaftliche Untersuchungen in Gebirgsräumen. Photogrammetrie, Fernerkundung, Geoinformation (PFG). Vol. 2005 (3), pp. 183-190.

[3] Höfle, B. (2005): Entwicklung eines Informationssystems für Laserscannerdaten mit open source Software. Master Thesis, Institute of Geography, University of Innsbruck, Austria, pp. 1-199.

[2] Höfle, B., Geist, T., Heller, A. & Stötter, J. (2005): Entwicklung eines Informationssystems für Laserscannerdaten mit OpenSource-Software. In: Strobl, J., Blaschke, T. & Griesebner, G. Angewandte Geoinformatik 2005: Beiträge zum 17. AGIT-Symposium Salzburg, pp. 277-286. Wichmann. ISBN: 978-3-87907-422-8

[1] Geist, T., Höfle, B., Rutzinger, M. & Stötter, J. (2004): Analysis of laser scanner data with remote sensing techniques for determining surface characteristics. In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVI, (Part 8/W2) pp. 297-297.