Pöppl, F., Ullrich, A., Mandlburger, G., & Pfeifer, N. (2025). Precise and efficient high-frequency trajectory estimation for LiDAR georeferencing. ISPRS Journal of Photogrammetry and Remote Sensing, 223, 344–361. https://doi.org/10.1016/j.isprsjprs.2025.03.007 ( reposiTUm)

Mandlburger, G., Rhomberg-Kauert, J., Gueguen, L.-A., Mulsow, C., Brezovsky, M., Dammert, L., Haines, J., Glas, S., Himmelsbach, T., Schulte, F., Amon, P., Winiwarter, L., Jutzi, B., & Maas, H.-G. (2025). Mapping shallow inland running waters with UAV-borne photo and laser bathymetry : The Pielach River showcase. Hydrographische Nachrichten, 130(03), 42–53. https://doi.org/10.23784/HN130-06 ( reposiTUm)

Pöppl, F., Ullrich, A., Mandlburger, G., & Pfeifer, N. (2024). A flexible trajectory estimation methodology for kinematic laser scanning. ISPRS Journal of Photogrammetry and Remote Sensing, 215, 62–79. https://doi.org/10.1016/j.isprsjprs.2024.06.014 ( reposiTUm)

Gueguen, L.-A., & Mandlburger, G. (2024). Lab experiment for photo bathymetry : Simultaneous reconstruction of water surface and bottom with a synchronised camera rig. Hydrographische Nachrichten, 129(11/2024), 42–46. https://doi.org/10.23784/HN129-06 ( reposiTUm)

Calantropio, A., Menna, F., Skarlatos, D., Balletti, C., Mandlburger, G., Agrafiotis, P., Chiabrando, F., Lingua, A. M., Giaquinto, A., & Nocerino, E. (2024). Under and through water datasets for geospatial studies: the 2023 ISPRS scientific initiative “NAUTILUS.” ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, X-2–2024, 33–40. https://doi.org/10.5194/isprs-annals-X-2-2024-33-2024 ( reposiTUm)

Janowski, Ł., Skarlatos, D., Agrafiotis, P., Tysiąc, P., Pydyn, A., Popek, M., Kotarba-Morley, A. M., Mandlburger, G., Gajewski, Ł., Kołakowski, M., Papadaki, A., & Gajewski, J. (2024). High resolution optical and acoustic remote sensing datasets of the Puck Lagoon. Scientific Data, 11(1), Article 360. https://doi.org/10.1038/s41597-024-03199-y ( reposiTUm)

Takhtkeshha, N., Mandlburger, G., Remondino, F., & Hyyppä, J. (2024). Multispectral Light Detection and Ranging Technology and Applications: A Review. Sensors, 24(5), Article 1669. https://doi.org/10.3390/s24051669 ( reposiTUm)

Wimmer, M., Mandlburger, G., Ressl, C., & Pfeifer, N. (2024). Strip Adjustment of Multi-Temporal LiDAR Data—A Case Study at the Pielach River. Remote Sensing, 16(15), Article 2838. https://doi.org/10.3390/rs16152838 ( reposiTUm)

Rhomberg-Kauert, J., Dammert, L., Grömer, M., Pfennigbauer, M., & Mandlburger, G. (2024). Macrophyte detection with bathymetric LiDAR – Applications of high-dimensional data analysis for submerged ecosystems. The International Hydrographic Review, 30(2), 98–115. https://doi.org/10.58440/ihr-30-2-a16 ( reposiTUm)

Wagner, N., Franke, G., Schmieder, K., & Mandlburger, G. (2024). Automatic classification of submerged macrophytes at Lake Constance using laser bathymetry point clouds. Remote Sensing, 16(13), Article 2257. https://doi.org/10.3390/rs16132257 ( reposiTUm)

Pöppl, F., Neuner, H., Mandlburger, G., & Pfeifer, N. (2023). Integrated trajectory estimation for 3D kinematic mapping with GNSS, INS and imaging sensors: A framework and review. ISPRS Journal of Photogrammetry and Remote Sensing, 196, 287–305. https://doi.org/10.1016/j.isprsjprs.2022.12.022 ( reposiTUm)

Mandlburger, G., Monetti, D., & Greifeneder, C. (2022). Fließgewässervermessung mittels UAV-basierter Laserbathymetrie im Produktiveinsatz. Österreichische Zeitschrift für Vermessung und Geoinformation (VGI), 2022(2), 59–77. http://hdl.handle.net/20.500.12708/135790 ( reposiTUm)

Mandlburger, G., Pfennigbauer, M., & Monetti, D. (2022). Underwater Deadwood and Vegetation from UAV-borne Topobathymetric Lidar. GIM International, 36(3), 25–27. http://hdl.handle.net/20.500.12708/136830 ( reposiTUm)

Mandlburger, G. (2022). A Review of Active and Passive Optical Methods in Hydrography. The International Hydrographic Review, 28, 8–52. https://doi.org/10.58440/ihr-28-a15 ( reposiTUm)

Mandlburger, G. (2021). Bathymetry from Images, LiDAR, and Sonar. PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science. https://doi.org/10.1007/s41064-021-00153-0 ( reposiTUm)

Mandlburger, G., Kölle, M., Nübel, H., & Soergel, U. (2021). BathyNet: A Deep Neural Network for Water Depth Mapping from Multispectral Aerial Images. PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science, 89(2), 71–89. https://doi.org/10.1007/s41064-021-00142-3 ( reposiTUm)

Mandlburger, G. (2020). Evaluation of Single Photon and waveform LiDAR. Archiwum Fotogrametrii, Kartografii i Teledetekcji, 31(1), 13–20. https://doi.org/10.2478/apcrs-2019-0001 ( reposiTUm)

Doneus, M., Mandlburger, G., & Doneus, N. (2020). Archaeological Ground Point Filtering of Airborne Laser Scan Derived Point-Clouds in a Difficult Mediterranean Environment. Journal of Computer Applications in Archaeology, 3(1), 92–108. https://doi.org/10.5334/jcaa.44 ( reposiTUm)

Mandlburger, G. (2020). A review of airborne laser bathymetry for mapping of inland and coastal waters. Hydrographische Nachrichten, 116, 6–15. https://doi.org/10.23784/HN116-01 ( reposiTUm)

Weiß, R., Mandlburger, G., & Artz, T. (2020). Erprobung des neuartigen Single-Photon-LiDAR-Messsystems Leica SPL100. Hydrographische Nachrichten, 116(06), 78–79. https://doi.org/10.23784/HN116-13 ( reposiTUm)

Schütz, M., Mandlburger, G., Otepka, J., & Wimmer, M. (2020). Progressive Real‐Time Rendering of One Billion Points Without Hierarchical Acceleration Structures. Computer Graphics Forum, 39(2), 51–64. https://doi.org/10.1111/cgf.13911 ( reposiTUm)

Mandlburger, G., Pfennigbauer, M., Schwarz, R., Flöry, S., & Nussbaumer, L. (2020). Concept and Performance Evaluation of a Novel UAV-Borne Topo-Bathymetric LiDAR Sensor. Remote Sensing, 12(6), 986. https://doi.org/10.3390/rs12060986 ( reposiTUm)

Mandlburger, G., Weiß, R., & Artz, T. (2020). Mapping Of Water Surface Levels And Slopes With Single Photon LiDAR - A Case Study At The River Rhine. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLIII-B1-2020, 57–64. https://doi.org/10.5194/isprs-archives-xliii-b1-2020-57-2020 ( reposiTUm)

Haala, N., Kölle, M., Cramer, M., Laupheimer, D., Mandlburger, G., & Glira, P. (2020). Hybrid Georeferencing, Enhancement And Classification Of Ultra-High Resolution UAV LiDAR And Image Point Clouds For Monitoring Applications. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, V-2–2020, 727–734. https://doi.org/10.5194/isprs-annals-v-2-2020-727-2020 ( reposiTUm)

Mulsow, C., Mandlburger, G., & Maas, H.-G. (2020). Comparison Of Subaquatic Digital Elevation Models From Airborne Laser Scanning And Imagery. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, V-2–2020, 671–677. https://doi.org/10.5194/isprs-annals-v-2-2020-671-2020 ( reposiTUm)

Schwarz, R., Pfeifer, N., Pfennigbauer, M., & Mandlburger, G. (2020). Depth Measurement Bias in Pulsed Airborne Laser Hydrography Induced by Chromatic Dispersion. IEEE Geoscience and Remote Sensing Letters, 18(8), 66–70. https://doi.org/10.34726/1422 ( reposiTUm)

Mandlburger, G. (2019). Recent Developments in Airborne Lidar. GIM International, 33(2), 22–27. http://hdl.handle.net/20.500.12708/142720 ( reposiTUm)

Mandlburger, G., & Jutzi, B. (2019). On the Feasibility of Water Surface Mapping with Single Photon LiDAR. ISPRS International Journal of Geo-Information, 8(4), 188. https://doi.org/10.3390/ijgi8040188 ( reposiTUm)

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, 87(3), 75–90. https://doi.org/10.1007/s41064-019-00073-0 ( reposiTUm)

Mandlburger, G. (2019). Through-Water Dense Image Matching for Shallow Water Bathymetry. Photogrammetric Engineering & Remote Sensing, 85(6), 445–455. https://doi.org/10.14358/pers.85.6.445 ( reposiTUm)

Schwarz, R., Mandlburger, G., Pfennigbauer, M., & Pfeifer, N. (2019). Design and Evaluation of a Full-Wave Surface and Bottom-Detection Algorithm for LiDAR Bathymetry of Very Shallow Waters. ISPRS Journal of Photogrammetry and Remote Sensing, 150, 1–10. https://doi.org/10.34726/1421 ( reposiTUm)

Milenković, M., Ressl, C., Karel, W., Mandlburger, G., & Pfeifer, N. (2018). Roughness Spectra Derived from Multi-Scale LiDAR Point Clouds of a Gravel Surface: A Comparison and Sensitivity Analysis. ISPRS International Journal of Geo-Information, 7(2), 69. https://doi.org/10.3390/ijgi7020069 ( reposiTUm)

Mandlburger, G. (2018). Gewässervermessung mittels aktiver und passiver optischer Fernerkundung. Österreichische Zeitschrift Für Vermessung Und Geoinformation (VGI), 106(3), 195–206. http://hdl.handle.net/20.500.12708/145712 ( reposiTUm)

Mandlburger, G. (2017). Interaction of Laser Pulses with the Water Surface - Theoretical Aspects and Experimental Results. Allgemeine Vermessungs-Nachrichten (AVN) Begutachtete Beiträge, 11–12, 343–352. http://hdl.handle.net/20.500.12708/147228 ( reposiTUm)

Wieser, M., Mandlburger, G., Hollaus, M., Otepka, J., Glira, P., & Pfeifer, N. (2017). A Case Study of UAS Borne Laser Scanning for Measurement of Tree Stem Diameter. Remote Sensing, 9(11), 1154. https://doi.org/10.3390/rs9111154 ( reposiTUm)

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, 186, 372–392. https://doi.org/10.1016/j.rse.2016.08.018 ( reposiTUm)

Ressl, C., Brockmann, H., Mandlburger, G., & Pfeifer, N. (2016). Dense Image Matching vs. Airborne Laser Scanning – Comparison of two methods for deriving terrain models. Photogrammetrie, Fernerkundung, Geoinformation, 2, 57–73. https://doi.org/10.1127/pfg/2016/0288 ( reposiTUm)

Mandlburger, G., Pfennigbauer, M., & Wieser, M. (2016). Lidar bathymetry from UAVs. Coordinates, 12(12), 12–16. http://hdl.handle.net/20.500.12708/149835 ( reposiTUm)

Puttonen, E., Briese, C., Mandlburger, G., Wieser, M., Pfennigbauer, M., Zlinszky, A., & Pfeifer, N. (2016). Quantification of Overnight Movement of Birch (Betula pendula) Branches and Foliage with Short Interval Terrestrial Laser Scanning. Frontiers in Plant Science, 7. https://doi.org/10.3389/fpls.2016.00222 ( reposiTUm)

Glira, P., Pfeifer, N., & Mandlburger, G. (2016). Rigorous Strip Adjustment of UAV-based Laserscanning Data Including Time-Dependent Correction of Trajectory Errors. Photogrammetric Engineering & Remote Sensing, 82(12), 945–954. https://doi.org/10.14358/pers.82.12.945 ( reposiTUm)

Mandlburger, G., Glira, P., & Pfeifer, N. (2015). UAS-borne Lidar for Mapping Complex Terrain and Vegetation Structure. GIM International, 29(7), 30–33. http://hdl.handle.net/20.500.12708/150907 ( reposiTUm)

Mandlburger, G., Hauer, C., Wieser, M., & Pfeifer, N. (2015). Topo-bathymetric LiDAR for monitoring river morphodynamics and instream habitats—a case study at the Pielach river. Remote Sensing. https://doi.org/10.3390/rs70506160 ( reposiTUm)

Vetter, M., & Mandlburger, G. (2014). Modification of High Resolution Airborne Laser Scanning DTMs for Drainage Network Delineation. Photogrammetrie, Fernerkundung, Geoinformation, 1, 41–54. https://doi.org/10.1127/1432-8364/2014/0208 ( reposiTUm)

Korzeniowska, K., Pfeifer, N., Mandlburger, G., & Lugmayr, A. (2014). Experimental evaluation of ALS point cloud ground extraction tools over different terrain slope and land-cover types. International Journal of Remote Sensing, 35(13), 4673–4697. https://doi.org/10.1080/01431161.2014.919684 ( reposiTUm)

Pfeifer, N., Mandlburger, G., Otepka, J., & Karel, W. (2014). OPALS - A framework for Airborne Laser Scanning data analysis. COMPUTERS ENVIRONMENT AND URBAN SYSTEMS, 45, 125–136. https://doi.org/10.1016/j.compenvurbsys.2013.11.002 ( reposiTUm)

Doneus, M., Doneus, N., Briese, C., Pregesbauer, M., Mandlburger, G., & Verhoeven, G. (2013). Airborne laser bathymetry - detecting and recording submerged archaeological sites from the air. Journal of Archaeological Science, 40(4), 2136–2151. https://doi.org/10.1016/j.jas.2012.12.021 ( reposiTUm)

Hauer, C., Mandlburger, G., Schober, B., & Habersack, H. (2012). Morphologically Related Integrative Management Concept for Reconnection Abandoned Channels Based on Airborne LiDAR Data and Habitat Modelling. River Research and Applications, 28(6), 20. http://hdl.handle.net/20.500.12708/163739 ( reposiTUm)

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(2), 51–65. https://doi.org/10.1127/0372-8854/2011/0055s2-0045 ( reposiTUm)

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. https://doi.org/10.1002/esp.1853 ( reposiTUm)

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, 1453–1466. http://hdl.handle.net/20.500.12708/165891 ( reposiTUm)

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. https://doi.org/10.1007/s00506-009-0095-3 ( reposiTUm)

Hauer, C., Mandlburger, G., & Habersack, H. (2008). Hydraulically related hydro-morphological units: description based on a new conceptual mesohabitat evaluation model (MEM) using LiDAR data as geometric input. River Research and Applications, 25(1), 29–47. https://doi.org/10.1002/rra.1083 ( reposiTUm)

Mandlburger, G., Hauer, C., Höfle, B., Habersack, H., & Pfeifer, N. (2008). Optimisation of LiDAR derived terrain models for river flow modelling. Hydrology and Earth System Sciences Discussions, 5(6), 3605–3638. http://hdl.handle.net/20.500.12708/171212 ( reposiTUm)

Mandlburger, G. (2007). Digitale Geländemodelle für Flood Risk Management. Geonews, Software-Magazin Für Vermessung Und Geoinformation, NOVEMBER(4), 4. http://hdl.handle.net/20.500.12708/168905 ( reposiTUm)

Mandlburger, G., & Strobelberger, G. (2007). Digitale Geländemodelle zur Simulation von Überschwemmungsszenarien. Österreichische Zeitschrift Für Vermessung Und Geoinformation (VGI), Begutachteter Beitrag, 3, 206–218. http://hdl.handle.net/20.500.12708/168943 ( reposiTUm)

Kraus, K., Karel, W., Briese, C., & Mandlburger, G. (2006). Local Accuracy Measures for Digital Terrain Models. The Photogrammetric Record, 21(No. 116), 342–354. http://hdl.handle.net/20.500.12708/172255 ( reposiTUm)

Mandlburger, G. (2005). Mosaikierung digitaler Geländemodelle. Österreichische Zeitschrift Für Vermessung Und Geoinformation (VGI), 93. JAHRGANG(Heft 3), 132–136. http://hdl.handle.net/20.500.12708/172202 ( reposiTUm)

Pöppl, F., Ullrich, A., Mandlburger, G., & Pfeifer, N. (2025). Radiometrische und geometrische Schätzung von Zieltafelzentren aus kinematischen LiDAR-Punktwolken. In T. Weinold (Ed.), 23. Internationale Geodätische Woche Obergurgl 2025 (pp. 306–309). Wichmann, VDE Verlag. ( reposiTUm)

Mandlburger, G., Ötsch, E., Pöppl, F., Dammert, L., & Winiwarter, L. (2025). Vergleich von UAV-gestützten Low-Cost Laserscannern zur Erfassung von Topographie, Vegetation und Freileitungstrassen. In T. Weinold (Ed.), 23. Internationale Geodätische Woche Obergurgl 2025 (pp. 1–15). Wichmann, VDE Verlag. http://hdl.handle.net/20.500.12708/213390 ( reposiTUm)

Gueguen, L.-A., & Mandlburger, G. (2024). Lab experiment for Simultaneous Reconstruction of Water Surface and Bottom with a Synchronized Camera Rig. In F. und G. Deutsche Gesellschaft für Photogrammetrie (Ed.), DGPF-Jahrestagung 2024 : Stadt, Land, Fluss - Daten vernetzen (pp. 394–401). DGPF. https://doi.org/10.24407/KXP:1885709870 ( reposiTUm)

Dammert, L., Monetti, D., Thalmann, T., Neuner, H.-B., & Mandlburger, G. (2024). Simulation based Analysis of High Precision UAV Tracking with Robotic Total Stations. In F. und G. Deutsche Gesellschaft für Photogrammetrie (Ed.), DGPF-Jahrestagung 2024 : Stadt, Land, Fluss - Daten vernetzen (pp. 203–210). DGPF. https://doi.org/10.24407/KXP:1885662106 ( reposiTUm)

Schwarz, R., Rhomberg-Kauert, J., Dammert, L., Blanckaert, K., Pfennigbauer, M., & Mandlburger, G. (2024). Untersuchung systematischer Tiefenmessfehler bei UAV basierter Laserbathymetrie. In F. und G. Deutsche Gesellschaft für Photogrammetrie (Ed.), DGPF-Jahrestagung 2024 : Stadt, Land, Fluss - Daten vernetzen (pp. 430–441). DGPF. https://doi.org/10.24407/KXP:188571162X ( reposiTUm)

Rhomberg-Kauert, J., Pöppl, F., Pfennigbauer, M., & Mandlburger, G. (2024). Estimation of the Angle of Incidence based on Echo Pulse Width in Airborne LiDAR. In F. und G. Deutsche Gesellschaft für Photogrammetrie (Ed.), Beiträge: 44. Wissenschaftlich-Technische Jahrestagung der DGPF (pp. 67–76). DGPF. https://doi.org/10.24407/KXP:1885287615 ( reposiTUm)

Rhomberg-Kauert, J., Pfennigbauer, M., & Mandlburger, G. (2024). Automating aquatic vegetation detection using airborne bathymetric LiDAR and high dimensional data analysis. In HYDRO 2024 Rostock Conference Handbook (pp. 80–80). ( reposiTUm)

Takhtkeshha, N., Bayrak, O. C., Mandlburger, G., Remondino, F., Kukko, A., & Hyyppä, J. (2024). Automatic Annotation Of 3D Multispectral LiDAR Data For Land Cover Classification. In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium (pp. 8645–8649). https://doi.org/10.1109/IGARSS53475.2024.10642907 ( reposiTUm)

Gueguen, L.-A., & Mandlburger, G. (2024). Lab experiment for simultaneous reconstruction of water surface and bottom with a synchronized camera rig. In HYDRO 2024 Rostock Conference Handbook (pp. 85–85). ( reposiTUm)

Mandlburger, G. (2024). Optical hydrography – the DGPF’s contribution to mapping and monitoring inland coastal waters. In HYDRO 2024 Rostock Conference Handbook (pp. 27–27). ( reposiTUm)

Gueguen, L.-A., & Mandlburger, G. (2024). Lab experiment for simultaneous reconstruction of water surface and bottom with a synchronized camera rig. In Sensing Mountains 2024 : Innsbruck Summer School of Alpine Research Close Range Sensing Techniques in Alpine Terrain (pp. 51–54). Innsbruck University Press. https://doi.org/10.34726/8528 ( reposiTUm)

Sardemann, H., Mulsow, C., Gueguen, L.-A., Mandlburger, G., & Maas, H.-G. (2024). Multimedia Photogrammetry with non-planar Water Surfaces – Accuracy Analysis on Simulation Basis. In Volume XLVIII-2-2024, 2024 | ISPRS TC II Mid-term Symposium “The Role of Photogrammetry for a Sustainable World” (pp. 363–369). https://doi.org/10.5194/isprs-archives-XLVIII-2-2024-363-2024 ( reposiTUm)

Mulsow, C., Sardemann, H., Gueguen, L.-A., Mandlburger, G., & Maas, H.-G. (2024). Concepts for compensation of wave effects when measuring through water surfaces in photogrammetric applications. In Volume XLVIII-2-2024, 2024 | ISPRS TC II Mid-term Symposium “The Role of Photogrammetry for a Sustainable World” (pp. 289–295). https://doi.org/10.5194/isprs-archives-XLVIII-2-2024-289-2024 ( reposiTUm)

Arav, R., Ressl, C., Weiss, R., Artz, T., & Mandlburger, G. (2024). Evaluation of Active and Passive UAV-Based Surveying Systems for Eulittoral Zone Mapping. In A. Yilmaz, J. D. Wegner, & R. Qin (Eds.), Volume XLVIII-2-2024, 2024 | ISPRS TC II Mid-term Symposium “The Role of Photogrammetry for a Sustainable World” (pp. 9–16). https://doi.org/10.5194/isprs-archives-XLVIII-2-2024-9-2024 ( reposiTUm)

Grömer, M., Nocerino, E., Calantropio, A., Menna, F., Dreier, A., Winiwarter, L., & Mandlburger, G. (2024). High-detail and low-cost underwater inspection of large-scale hydropower dams. In Volume XLVIII-2-2024, 2024 | ISPRS TC II Mid-term Symposium “The Role of Photogrammetry for a Sustainable World” (pp. 115–120). https://doi.org/10.5194/isprs-archives-XLVIII-2-2024-115-2024 ( reposiTUm)

Otepka-Schremmer, J., Bayr, A., Brandtner, B., Mandlburger, G., & Pfeifer, N. (2023). Verschmelzen von Höhenmodellen unterschiedlicher Auflösung und Genauigkeiten. In 22. Internationale Geodätische Woche Obergurgl 2023 (pp. 113–123). Wichmann. ( reposiTUm)

Mandlburger, G., Pfennigbauer, M., Schwarz, R., & Pöppl, F. (2023). A decade of progress in topo-bathymetric laser scanning exemplified by the pielach river dataset. In ISPRS Geospatial Week 2023 (pp. 1123–1130). International Society for Photogrammetry and Remote Sensing. https://doi.org/10.5194/isprs-annals-X-1-W1-2023-1123-2023 ( reposiTUm)

Mandlburger, G., Cramer, M., & Kölle, M. (2023). Vergleich von Low-Cost- und High-End-UAV-LiDAR. In 22. Internationale Geodätische Woche Obergurgl 2023 (pp. 138–149). Wichmann. http://hdl.handle.net/20.500.12708/177503 ( reposiTUm)

Mandlburger, G., & Westfeld, P. (2023). Ein Überblick über optische Methoden in der Hydrographie. In T. Kersten & N. Tilly (Eds.), Beiträge. 43. Wissenschaftlich-Technische Jahrestagung der DGPF. 22.-23. März 2023 in München (pp. 1–21). http://hdl.handle.net/20.500.12708/176542 ( reposiTUm)

Pöppl, F., Mandlburger, G., & Pfeifer, N. (2023). Evaluation of a GNSS/IMU/LIDAR-Integration for Airborne Laser Scanning Using RTKLIB PPK and PPP GNSS Solutions. In B. Hejmanowska, D. Iwaszczuk, K. Bakuła, & F. Remondino (Eds.), 2nd GEOBENCH Workshop on Evaluation and BENCHmarking of Sensors, Systems and GEOspatial Data in Photogrammetry and Remote Sensing (pp. 161–166). https://doi.org/10.5194/isprs-archives-XLVIII-1-W3-2023-161-2023 ( reposiTUm)

Mandlburger, G., Kölle, M., Pöppl, F., & Cramer, M. (2023). Evaluation of Consumer-Grade and Survey-Grade UAV-LIDAR. In B. Hejmanowska, D. Iwaszczuk, K. Bakuła, & F. Remondino (Eds.), 2nd GEOBENCH Workshop on Evaluation and BENCHmarking of Sensors, Systems and GEOspatial Data in Photogrammetry and Remote Sensing (pp. 99–106). https://doi.org/10.5194/isprs-archives-XLVIII-1-W3-2023-99-2023 ( reposiTUm)

Pöppl, F., Pfennigbauer, M., Ullrich, A., Mandlburger, G., Neuner, H.-B., & Pfeifer, N. (2023). Modelling of GNSS Positioning Errors in a GNSS/INS/LiDAR-integrated Georeferencing. In T. Kersten & N. Tilly (Eds.), Beiträge. 43. Wissenschaftlich-Technische Jahrestagung der DGPF. 22.-23. März 2023 in München (pp. 183–196). http://hdl.handle.net/20.500.12708/176543 ( reposiTUm)

Grömer, M., & Mandlburger, G. (2023). Vergleich verschiedener Unterwasser-Photogrammetrie- Inspektionsmethoden zur Bewertung von unterwasserliegenden Stahlwasserbauwerken. In T. Kersten & N. Tilly (Eds.), Beiträge. 43. Wissenschaftlich-Technische Jahrestagung der DGPF. 22.-23. März 2023 in München (pp. 322–331). http://hdl.handle.net/20.500.12708/176545 ( reposiTUm)

Mandlburger, G. (2022). UAV-basiertes Laserscanning für Topographie und Bathymetrie - State-of-the-Art und Trends. In UAV 2022 - Innovation und Praxis (pp. 89–100). Schriftenreihe des DVW. http://hdl.handle.net/20.500.12708/44122 ( reposiTUm)

Mandlburger, G. (2022). Von nah und fern - Optische Methoden in der Bathymetrie. In Hydrographie - Messen mit allen Sinnen (pp. 15–21). Schriftenreihe des DVW. http://hdl.handle.net/20.500.12708/44129 ( reposiTUm)

Mandlburger, G. (2022). 3D point clouds from photogrammetry and laser scanning. In Sensing Mountains : Innsbruck Summer School of Alpine Research 2022 – Close Range Sensing Techniques in Alpine Terrain (pp. 22–24). Innsbruck University Press. ( reposiTUm)

Mandlburger, G., Monetti, D., Hollaus, M., Wimmer, M., Otepka-Schremmer, J., & Pfeifer, N. (2021). A case study for detection and modelling of submerged deadwood from UAV-borne topo-bathymetric LiDAR point clouds. In Proceedings of the SilviLaser Conference 2021 (pp. 195–197). https://doi.org/10.34726/wim.1979 ( reposiTUm)

Otepka, J., Mandlburger, G., Karel, W., Wöhrer, B., Ressl, C., & Pfeifer, N. (2021). A FRAMEWORK FOR GENERIC SPATIAL SEARCH IN 3D POINT CLOUDS. In ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (pp. 35–42). ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences. https://doi.org/10.5194/isprs-annals-v-2-2021-35-2021 ( reposiTUm)

Mandlburger, G. (2021). Gewässervermessung vom UAV. In T. Weinold (Ed.), 21. Internationale Geodätische Woche Obergurgl 2021 (pp. 103–112). Wichmann. http://hdl.handle.net/20.500.12708/44066 ( reposiTUm)

Otepka-Schremmer, J., Hollaus, M., Mandlburger, G., Gokl, L., Karel, W., Wöhrer, B., & Pfeifer, N. (2021). OPALS: A Flexible and Efficient Point Cloud Processing Software for Forest Application. In Proceedings of the SilviLaser Conference 2021 (pp. 246–249). https://doi.org/10.34726/wim.1995 ( reposiTUm)

Wimmer, M., Hollaus, M., Mandlburger, G., Buttinger-Kreuzhuber, A., Waser, J., Komma, J., & Pfeifer, N. (2020). Prozessierung bundesweiter Geodaten für hydraulische Modellierung. In T. Kersten (Ed.), 40. Wissenschaftlich-Technische Jahrestagung der DGPF in Stuttgart (pp. 242–253). Publikationen der DGPF. http://hdl.handle.net/20.500.12708/44033 ( reposiTUm)

Nübel, H., Mandlburger, G., Kölle, M., & Sörgel, U. (2020). Bathymetrieableitung aus multispektralen Luftbildern über Convolutional Neural Networks. In T. Kersten (Ed.), 40. Wissenschaftlich-Technische Jahrestagung der DGPF in Stuttgart (pp. 156–171). Publikationen der DGPF. http://hdl.handle.net/20.500.12708/44032 ( reposiTUm)

Weiß, R., & Mandlburger, G. (2020). Erprobung des Leica SPL100 Laserscanners zur Erfassung der Wasseroberfläche an deutschen Binnengewässern. In T. Kersten (Ed.), 40. Wissenschaftlich-Technische Jahrestagung der DGPF in Stuttgart (pp. 62–72). Publikationen der DGPF. http://hdl.handle.net/20.500.12708/44031 ( reposiTUm)

Otepka, J., Mandlburger, G., Schütz, M., Pfeifer, N., & Wimmer, M. (2020). Efficient Loading And Visualization Of Massive Feature-Rich Point Clouds Without Hierarchical Acceleration Structures. In XXIV ISPRS Congress, Commission II (pp. 293–300). https://doi.org/10.5194/isprs-archives-xliii-b2-2020-293-2020 ( reposiTUm)

Mandlburger, G., Pfennigbauer, M., & Schwarz, R. (2020). Genauigkeits- und Performanceuntersuchung eines neuen bathymetrischen UAV-Laserscanners. In T. Kersten (Ed.), 40. Wissenschaftlich-Technische Jahrestagung der DGPF in Stuttgart (pp. 321–334). Publikationen der DGPF. http://hdl.handle.net/20.500.12708/44034 ( reposiTUm)

Mandlburger, G. (2020). Möglichkeiten und Grenzen der Bathymetrieableitung mittels Single Photon LiDAR. In T. Kersten (Ed.), 40. Wissenschaftlich-Technische Jahrestagung der DGPF in Stuttgart (pp. 335–345). Publikationen der DGPF. http://hdl.handle.net/20.500.12708/44035 ( reposiTUm)

Winiwarter, L., & Mandlburger, G. (2019). Classification of 3D Point Clouds using Deep Neural Networks. In T. Kersten (Ed.), Dreiländertagung der OVG, DGPF und SGPF: Photogrammetrie - Fernerkundung - Geoinformation - 2019 (pp. 663–674). Publikationen der DGPF. http://hdl.handle.net/20.500.12708/43913 ( reposiTUm)

Mandlburger, G., Lehner, H., & Pfeifer, N. (2019). A COMPARISON OF SINGLE PHOTON AND FULL WAVEFORM LIDAR. In ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (pp. 397–404). ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences. https://doi.org/10.5194/isprs-annals-iv-2-w5-397-2019 ( reposiTUm)

Mulsow, C., Mandlburger, G., Ressl, C., & Maas, H.-G. (2019). Vergleich von Bathymetriedaten aus luftgestützter Laserscanner- und Kameraerfassung. In T. Kersten (Ed.), Dreiländertagung der OVG, DGPF und SGPF: Photogrammetrie - Fernerkundung - Geoinformation - 2019 (pp. 318–333). Deutsche Gesellschaft für Photogrammetrie, Fernerkundung und Geoinformation (DGPF) e.V. http://hdl.handle.net/20.500.12708/43910 ( reposiTUm)

Mandlburger, G., & Lehner, H. (2019). Single Photon LiDAR - Grundlagen und erste Evaluierungsergebnisse. In T. Kersten (Ed.), Dreiländertagung der OVG, DGPF und SGPF: Photogrammetrie - Fernerkundung - Geoinformation - 2019 (pp. 443–457). Publikationen der DGPF. http://hdl.handle.net/20.500.12708/43912 ( reposiTUm)

Innerhofer, D., Mandlburger, G., Steinbacher, F., & Aufleger, M. (2019). Vermessung hochalpiner Bergseen mittels moderner Technologien. In T. Kersten (Ed.), Dreiländertagung der OVG, DGPF und SGPF: Photogrammetrie - Fernerkundung - Geoinformation - 2019 (pp. 347–362). Publikationen der DGPF. http://hdl.handle.net/20.500.12708/43911 ( reposiTUm)

Winiwarter, L., Mandlburger, G., & Pfeifer, N. (2019). Klassifizierung von 3D-ALS-Punktwolken mit Neuronalen Netzen. In K. Hanke & T. Weinold (Eds.), 20. Internationale Geodätische Woche Obergurgl 2019 (pp. 254–263). Wichmann. http://hdl.handle.net/20.500.12708/43919 ( reposiTUm)

Glira, P., Pfeifer, N., & Mandlburger, G. (2019). HYBRID ORIENTATION OF AIRBORNE LIDAR POINT CLOUDS AND AERIAL IMAGES. In ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (pp. 567–574). ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences. https://doi.org/10.5194/isprs-annals-iv-2-w5-567-2019 ( reposiTUm)

Mandlburger, G. (2018). Gewässervermessung mittels aktiver und passiver Fernerkundungsverfahren. In Vermessung & Geoinformation 1/2018 (p. 28). VGI. http://hdl.handle.net/20.500.12708/43857 ( reposiTUm)

Mandlburger, G., & Jutzi, B. (2018). FEASIBILITY INVESTIGATION ON SINGLE PHOTON LIDAR BASED WATER SURFACE MAPPING. In ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (pp. 109–116). ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences. https://doi.org/10.5194/isprs-annals-iv-1-109-2018 ( reposiTUm)

Winiwarter, L., Mandlburger, G., Pfeifer, N., & Sörgel, U. (2018). Classification Of 3D Point Clouds Using Deep Neural Networks. In P. Hans, G. Artner, J. Grames, H. Krebs, H. R. Mansouri Khosravi, & T. Rouhi (Eds.), Vienna Young Scientists Symposium (pp. 20–21). http://hdl.handle.net/20.500.12708/43853 ( reposiTUm)

Mandlburger, G. (2018). A CASE STUDY ON THROUGH-WATER DENSE IMAGE MATCHING. In The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (pp. 659–666). The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. https://doi.org/10.5194/isprs-archives-xlii-2-659-2018 ( reposiTUm)

Mandlburger, G. (2018). A Review of Airborne Laser Bathymetry Sensors. In New Challenges in Hydraulic Research and Engineering (pp. 41–42). http://hdl.handle.net/20.500.12708/43859 ( reposiTUm)

Mandlburger, G., Kremer, J., Steinbacher, F., & Baran, R. (2018). INVESTIGATING THE USE OF COASTAL BLUE IMAGERY FOR BATHYMETRIC MAPPING OF INLAND WATER BODIES. In The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (pp. 275–282). The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. https://doi.org/10.5194/isprs-archives-xlii-1-275-2018 ( reposiTUm)

Otepka-Schremmer, J., Mandlburger, G., Briese, C., & Pfeifer, N. (2017). Fortschritte bei der automatischen Ableitung von Strukturlinien aus 3D-Punktwolken. In K. Hanke & T. Weinold (Eds.), 19. Internationale Geodätische Woche Obergurgl 2017 (pp. 209–220). Wichmann. http://hdl.handle.net/20.500.12708/43648 ( reposiTUm)

Mandlburger, G., Wenzel, K., Spitzer, A., Haala, N., Glira, P., & Pfeifer, N. (2017). IMPROVED TOPOGRAPHIC MODELS VIA CONCURRENT AIRBORNE LIDAR AND DENSE IMAGE MATCHING. In ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (pp. 259–266). ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences. https://doi.org/10.5194/isprs-annals-iv-2-w4-259-2017 ( reposiTUm)

Mandlburger, G., Pfeifer, N., & Soergel, U. (2017). WATER SURFACE RECONSTRUCTION IN AIRBORNE LASER BATHYMETRY FROM REDUNDANT BED OBSERVATIONS. In ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (pp. 123–130). ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences. https://doi.org/10.5194/isprs-annals-iv-2-w4-123-2017 ( reposiTUm)

Mandlburger, G., Pfennigbauer, M., Schwarz, R., Haring, A., Wieser, M., & Winiwarter, L. (2017). Gewässervermessung vom UAV. In K. Hanke & T. Weinold (Eds.), 19. Internationale Geodätische Woche Obergurgl 2017 (pp. 190–199). Wichmann. http://hdl.handle.net/20.500.12708/43647 ( reposiTUm)

Mandlburger, G., Pfennigbauer, M., Wieser, M., Riegl, U., & Pfeifer, N. (2016). EVALUATION OF A NOVEL UAV-BORNE TOPO-BATHYMETRIC LASER PROFILER. In The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (pp. 933–939). International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. https://doi.org/10.5194/isprs-archives-xli-b1-933-2016 ( reposiTUm)

Wieser, M., Hollaus, M., Mandlburger, G., Pfeifer, N., & Glira, P. (2016). ULS LiDAR SUPPORTED ANALYSES OF LASER BEAM PENETRATION FROM DIFFERENT ALS SYSTEMS INTO VEGETATION. In ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (pp. 233–239). ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences. https://doi.org/10.5194/isprs-annals-iii-3-233-2016 ( reposiTUm)

Mandlburger, G., Otepka-Schremmer, J., Briese, C., Mücke, W., Summer, G., Pfeifer, N., Baltrusch, S., Dorn, C., & Brockmann, H. (2016). Automatische Ableitung von Strukturlinien aus 3D-Punktwolken. In T. Kersten (Ed.), Dreiländertagung der SGPF, DGPF und OVG: Lösungen für eine Welt im Wandel (pp. 131–142). Publikationen der Deutschen Gesellschaft für Photogrammetrie, Fernerkundung und Geoinformation e.V. http://hdl.handle.net/20.500.12708/43507 ( reposiTUm)

Hollaus, M., Pfeifer, N., Mandlburger, G., & Insinna, P. (2016). Baumartenklassifikation mittels multi-temporaler Full-Waveform Laserscanning-Daten. In T. Kersten (Ed.), Dreiländertagung der SGPF, DGPF und OVG: Lösungen für eine Welt im Wandel (pp. 240–250). Publikationen der Deutschen Gesellschaft für Photogrammetrie, Fernerkundung und Geoinformation e.V. http://hdl.handle.net/20.500.12708/43508 ( reposiTUm)

Mandlburger, G., Wieser, M., Hollaus, M., Pfennigbauer, M., & Riegl, U. (2016). Multi-temporal UAV-borne LiDAR point clouds for vegetation analysis - a case study. In EGU General Assembly 2016. EGU General Assembly 2016, Vienna, Austria. Copernicus Publications. http://hdl.handle.net/20.500.12708/43549 ( reposiTUm)

Wimmer, M., Mandlburger, G., Ressl, C., & Pfeifer, N. (2016). Estimation of high resolution shallow water bathymetry via two-media-photogrammetry - a case study at the Pielach River. In EGU General Assembly 2016. EGU General Assembly 2016, Vienna, Austria. Copernicus Publications. http://hdl.handle.net/20.500.12708/43545 ( reposiTUm)

Roncat, A., & Mandlburger, G. (2016). Enhanced detection of water and ground surface in airborne laser bathymetry data using waveform stacking. In EGU General Assembly 2016. EGU General Assembly 2016, Vienna, Austria. Copernicus Publications. http://hdl.handle.net/20.500.12708/43548 ( reposiTUm)

Doneus, M., Miholjek, I., Mandlburger, G., Doneus, N., Verhoeven, G., Briese, Ch., & Pregesbauer, M. (2015). AIRBORNE LASER BATHYMETRY FOR DOCUMENTATION OF SUBMERGED ARCHAEOLOGICAL SITES IN SHALLOW WATER. In F. Menna, E. Nocerino, S. Del Pizzo, F. Bruno, & F. Remondino (Eds.), The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (pp. 99–107). ISPRS Archives. https://doi.org/10.5194/isprsarchives-xl-5-w5-99-2015 ( reposiTUm)

Mandlburger, G., Wieser, M., Otepka-Schremmer, J., Pfennigbauer, M., & Pfeifer, N. (2015). Dokumentation von Hochwasser bedingten Veränderungen von Flussläufen mittels Laser Bathymetrie am Beispiel der Pielach. In K. Kondo & T. Weinold (Eds.), 18. Internationale Geodätische Woche Obergurgl 2015 (pp. 64–73). Wichmann. http://hdl.handle.net/20.500.12708/43405 ( reposiTUm)

Mandlburger, G., Hollaus, M., Glira, P., Wieser, M., Milenkovic, M., Riegl, U., & Pfennigbauer, M. (2015). First examples from the RIEGL VUX-SYS for forestry applications. In S. Durrieu & C. Véga (Eds.), Proceedings of SilviLaser 2015 (pp. 105–107). http://hdl.handle.net/20.500.12708/43481 ( reposiTUm)

Mandlburger, G., Ressl, C., & Mücke, W. (2015). Dense Image Matehing vs. Airborne Laser Scanning - Gegenüberstellung zweier Methoden zur Ableitung von Geländeflächen. In Veranstaltungen - Wasserstraßenbezogene geodätische Anwendungen und Produkte der Fernerkundung (pp. 60–66). Bundesanstalt für Gewässerkunde. https://doi.org/10.5675/BfG_Veranst_2015.2 ( reposiTUm)

Pfeifer, N., Mandlburger, G., Glira, P., Roncat, A., Mücke, W., & Zlinszky, A. (2015). Lidar: Exploiting the Versatility of a Measurement Principle in Photogrammetry. In D. Fritsch (Ed.), Photogrammetric Week 2015 (pp. 105–118). Wichmann. http://hdl.handle.net/20.500.12708/43470 ( reposiTUm)

Mandlburger, G., Wieser, M., & Pfennigbauer, M. (2015). Capturing and modelling high-complex alluvial topography with UAS-borne laser scanning. In EGU General Assembly 2015. EGU General Assembly 2015, Vienna, Austria. Copernicus Publishing. http://hdl.handle.net/20.500.12708/43434 ( reposiTUm)

Eysn, L., Mandlburger, G., Hollaus, M., Otepka-Schremmer, J., & Pfeifer, N. (2015). Algorithms and Tools for Point Cloud Based Vegetation Studies - The OPALS Forestry Package. In S. Durrieu & C. Véga (Eds.), Proceedings of SilviLaser 2015 (pp. 311–313). http://hdl.handle.net/20.500.12708/43482 ( reposiTUm)

Mandlburger, G., Pfennigbauer, M., Riegl, U., Haring, A., Wieser, M., Glira, P., & Winiwarter, L. (2015). Complementing airborne laser bathymetry with UAV-based lidar for capturing alluvial landscapes. In SPIE Remote Sensing 2015. SPIE Remote Sensing 2015, Toulouse, France, EU. http://hdl.handle.net/20.500.12708/43483 ( reposiTUm)

Mandlburger, G., Hauer, C., & Wieser, M. (2014). Monotoring of instream habitats with focus on morphological dynamics based on Airborne Laser Bathymetry. In N. Pfeifer & A. Zlinszky (Eds.), Proceedings of the International Workshop on Remote Sensing and GIS for Monitoring of Habitat Quality (pp. 30–34). Department of Geodesy and Geoinformation, Vienna University of Technology. http://hdl.handle.net/20.500.12708/43331 ( reposiTUm)

Zlinszky, A., Schroiff, A., Otepka-Schremmer, J., Mandlburger, G., & Pfeifer, N. (2014). Simultaneous colour visualizations of multiple ALS point cloud attributes for land cover and vegetation analysis. In EGU General Assembly 2014. EGU General Assembly 2014, Vienna, Austria. http://hdl.handle.net/20.500.12708/43273 ( reposiTUm)

Mandlburger, G., Wieser, M., Pfeifer, N., Pfennigbauer, M., Steinbacher, F., & Aufleger, M. (2014). Precise mapping of annual river bed changes based on airborne laser bathymetry. In EGU General Assembly 2014. EGU General Assembly 2014, Vienna, Austria. http://hdl.handle.net/20.500.12708/43272 ( reposiTUm)

Mandlburger, G., Otepka-Schremmer, J., Miller, P., Steinbacher, F., Pfennigbauer, M., & Pfeifer, N. (2013). Vermessung von Fließgewässern mittels Airborne Laser Bathymetry. In 17. Internationale Geodätische Woche Obergurgl 2013 (pp. 125–134). Wichmann. http://hdl.handle.net/20.500.12708/43055 ( reposiTUm)

Mandlburger, G., Pfennigbauer, M., & Pfeifer, N. (2013). Analyzing near water surface penetration in laser bathymetry – A case study at the River Pielach. In ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (pp. 175–180). https://doi.org/10.5194/isprsannals-ii-5-w2-175-2013 ( reposiTUm)

Doneus, M., Doneus, N., Briese, C., Pregesbauer, M., Mandlburger, G., Verhoeven, G., Miholjek, I., & Daim, F. (2013). Measuring the topography of submerged archaeological sites from the air. In Archaeological prospection. Proceedings of the 10th International Conference on Archaeological Prospection (pp. 16–18). http://hdl.handle.net/20.500.12708/43102 ( reposiTUm)

Milenkovic, M., Székely, B., Mandlburger, G., & Pfeifer, N. (2012). Characterization of artificial and natural roughness present in DTMs derived from Airborne Laser Scanning data. In European Geosciences Union General Assembly 2012 (p. 1). Geophysical Research Abstracts. http://hdl.handle.net/20.500.12708/42890 ( reposiTUm)

Mandlburger, G., Pfennigbauer, M., Steinbacher, F., & Pfeifer, N. (2012). Potential of a novel airborne hydrographic laser scanner for capturing shallow water bodies. In European Geosciences Union General Assembly 2012 (p. 1). Geophysical Research Abstracts. http://hdl.handle.net/20.500.12708/42903 ( reposiTUm)

Otepka-Schremmer, J., Mandlburger, G., & Karel, W. (2012). The OPALS Data Manager - Efficient Data Management for Processing Large Airborne Laser Scanning Projects. In ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (ISPRS Annals) (pp. 153–159). http://hdl.handle.net/20.500.12708/43007 ( reposiTUm)

Otepka-Schremmer, J., Mandlburger, G., Karel, W., & Wöhrer, B. (2011). Verteilte Prozessierung von ALS-Daten mittels Cloud-Computing - Erste Ergebnisse einer Pilotstudie. In 16. Internationale geodätische Woche Obergurgl 2011 (p. 8). Herbert Wichmann. http://hdl.handle.net/20.500.12708/42696 ( reposiTUm)

Mandlburger, G., Pfennigbauer, M., Steinbacher, F., & Pfeifer, N. (2011). Airborne Hydrographic LiDAR Mapping - Potential of a new technique for capturing shallow water bodies. In Modelling and Simulation Society of Australia and New Zealand (pp. 2416–2422). http://hdl.handle.net/20.500.12708/42841 ( reposiTUm)

Hollaus, M., Eysn, L., Mücke, W., Pfeifer, N., & Mandlburger, G. (2011). Forest Delineation and Structure Assessment Based on Airborne Laserscanning Data. In ELMF 2011 Conference Proceedings (p. 9). http://hdl.handle.net/20.500.12708/42863 ( reposiTUm)

Vetter, M., Höfle, B., Hollaus, M., Gschöpf, C., 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 Proceedings (p. 6). ISPRS. http://hdl.handle.net/20.500.12708/42818 ( reposiTUm)

Ressl, C., Pfeifer, N., & Mandlburger, G. (2011). Applying 3D Affine Transformation And Least Squares Matching For Airborne Laser Scanning Strips Adjustment Without Gnss/imu Trajectory Data. In Proceedings (p. 6). ISPRS. http://hdl.handle.net/20.500.12708/42817 ( reposiTUm)

Mandlburger, G., Vetter, M., Milenkovic, M., & Pfeifer, N. (2011). Derivation of a countrywide river network based on Airborne Laser Scanning DEMs - results of a pilot study. In Modelling and Simulation Society of Australia and New Zealand (pp. 2423–2429). http://hdl.handle.net/20.500.12708/42847 ( reposiTUm)

Mandlburger, G., Otepka-Schremmer, J., Karel, W., Hollaus, M., Ressl, C., Haring, A., Briese, C., Molnár, G., & Höfle, B. (2011). OPALS - a comprehensive laser scanning software for geomorphological analysis. In Geophysical Research Abstracts (p. 1). http://hdl.handle.net/20.500.12708/42684 ( reposiTUm)

Mandlburger, G., Pfeifer, N., Ressl, C., Briese, C., Roncat, A., Lehner, H., & Mücke, W. (2010). Algorithms and tools for airborne LiDAR data processing. In Proceedings of the European LIDAR Mapping Forum 2010 (p. 12). http://hdl.handle.net/20.500.12708/42653 ( reposiTUm)

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 (p. 1). http://hdl.handle.net/20.500.12708/42554 ( reposiTUm)

Hollaus, M., Mandlburger, G., Pfeifer, N., & Mücke, W. (2010). Land cover dependent derivation of digital surface models from Airborne laser Scanning data. In IAPRS Volume XXXVIII Part 3A (pp. 221–226). http://hdl.handle.net/20.500.12708/42587 ( reposiTUm)

Hollaus, M., Wagner, W., Molnár, G., Mandlburger, G., Nothegger, C., & Otepka-Schremmer, J. (2010). Deliniation of vegetation and building polygons from full-waveform airborne lidar data using OPALS software. In Proceedings (p. 7). http://hdl.handle.net/20.500.12708/42622 ( reposiTUm)

Brockmann, H., Haase, A., Mandlburger, G., & Schröder, P. M. (2010). LIDAR-Datenpotenziale für hydrodynamisch-numerische Modelluntersuchungen. In Publikationen der Deutschen Gesellschaft für Photogrammetrie, Fernerkundung und Geoinformation e.V. (pp. 542–551). http://hdl.handle.net/20.500.12708/42627 ( reposiTUm)

Briese, C., Mandlburger, G., & Mücke, W. (2010). Maßstabsabhängige Modellierung von Strukturlinien aus Airborne Laser Scanning Daten. In Publikationen der Deutschen Gesellschaft für Photogrammetrie, Fernerkundung und Geoinformation e.V. (pp. 561–569). http://hdl.handle.net/20.500.12708/42628 ( reposiTUm)

Mandlburger, G., Otepka-Schremmer, J., Karel, W., Wöhrer, B., Wagner, W., & Pfeifer, N. (2010). OPALS (Orientation and Processing of Airborne Laser Scanning data) - Konzept und Anwendungsbeispiele einer wissenschaftlichen Laserscanning Software. In Publikationen der Deutschen Gesellschaft für Photogrammetrie, Fernerkundung und Geoinformation e.V. (pp. 376–387). http://hdl.handle.net/20.500.12708/42599 ( reposiTUm)

Mandlburger, G., Briese, C., Otepka-Schremmer, J., Höfle, B., & Pfeifer, N. (2010). Verwaltung landesweiter Full Waveform Airborne Laser Scanning Daten. In Publikationen der Deutschen Gesellschaft für Photogrammetrie, Fernerkundung und Geoinformation e.V. (pp. 356–365). http://hdl.handle.net/20.500.12708/42598 ( reposiTUm)

Mandlburger, G., & Otepka-Schremmer, J. (2009). OPALS - ein neues Programmsystem zur Orientierung und Prozessierung von Airborne Laserscanning Daten. In 15. Internationale Geodätische Woche Obergurgel 2009 (pp. 218–222). Wichmann. http://hdl.handle.net/20.500.12708/42318 ( reposiTUm)

Ressl, C., Mandlburger, G., & Pfeifer, N. (2009). Investigating Adjustment Of Airborne Laser Scanning Strips Without Usage Of GNSS/IMU Trajectory Data. In ISPRS Workshop Laserscanning `09 (pp. 195–200). http://hdl.handle.net/20.500.12708/42434 ( reposiTUm)

Höfle, B., Mandlburger, G., Pfeifer, N., Rutzinger, M., & Bell, R. (2009). Potential of Airborne LiDAR in Geomorphology - A Technological Perspective. In Geophysical Research Abstracts (p. 1). http://hdl.handle.net/20.500.12708/42327 ( reposiTUm)

Ressl, C., Mandlburger, G., & Pfeifer, N. (2009). Untersuchungen zur Verbesserung der Georeferenzierung von ALS-Streifen ohne Verwendung von GNSS-IMU-Trajektoriendaten. In Vorträge 29. Wissenschaftlich-Technische Jahrestagung der DGPF - “Zukunft mit Tradition” (pp. 365–375). http://hdl.handle.net/20.500.12708/42323 ( reposiTUm)

Mandlburger, G., Otepka-Schremmer, J., Karel, W., Wagner, W., & Pfeifer, N. (2009). Orientation And Processing Of Airborne Laser Scanning Data (OPALS) - Concept And First Results Of A Comprehensive Als Software. In ISPRS Workshop Laserscanning `09 (pp. 55–60). http://hdl.handle.net/20.500.12708/42437 ( reposiTUm)

Briese, C., Mandlburger, G., Ressl, C., & Brockman, H. (2009). Automatic Break Line Determination For The Generation Of A Dtm Along The River Main. In ISPRS Workshop Laserscanning `09 (pp. 236–241). http://hdl.handle.net/20.500.12708/42435 ( reposiTUm)

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 (p. 1). http://hdl.handle.net/20.500.12708/42342 ( reposiTUm)

Mandlburger, G., & Briese, C. (2009). Automatic derivation of natural and artificial lineaments from ALS point clouds in floodplains. In Geophysical Research Abstracts (p. 1). http://hdl.handle.net/20.500.12708/42346 ( reposiTUm)

Ressl, C., Kager, H., & Mandlburger, G. (2008). Quality Checking Of ALS Projects Using Statistics Of Strip Differences. In Proceedings (pp. 253–260). http://hdl.handle.net/20.500.12708/42223 ( reposiTUm)

Vetter, M., Höfle, B., Mandlburger, G., & Rutzinger, M. (2008). Ableitung von Flusssohlenmodellen aus Flussquerprofilen und Integration in Airborne Laserscanning Geländemodelle mit GRASS GIS. In Angewandte Geoinformatik 2008: Beiträge zum 20. AGIT-Symposium Salzburg (pp. 382–391). Wichmann Verlag. http://hdl.handle.net/20.500.12708/42236 ( reposiTUm)

Mandlburger, G. (2008). Laserscanning - Berechnung von Geländemodellen. In Fernerkundung in der Hydrologie und Wasserwirtschaft (p. 19). http://hdl.handle.net/20.500.12708/42255 ( reposiTUm)

Mandlburger, G. (2008). Airborne Laser Scanning as geometric basis for Hydraulic Models. In Geophysical Research Abstracts (p. 2). http://hdl.handle.net/20.500.12708/42242 ( reposiTUm)

Wagner, W., Mandlburger, G., Dorninger, P., Hollaus, M., & Strobelberger, S. (2007). Airborne laser scanning derived terrain models for modelling overland flow. In Geophysical Research Abstracts (p. 1). http://hdl.handle.net/20.500.12708/42042 ( reposiTUm)

Mandlburger, G., & Briese, C. (2007). Using Airborne Laser Scanning for Improved Hydraulic Models. In Proceedings (p. 8). http://hdl.handle.net/20.500.12708/42154 ( reposiTUm)

Briese, C., Mandlburger, G., & Pfeifer, N. (2007). Airborne Laser Scanning - High Quality Digital Terrain Modelling. In III International Scientific Congress (pp. 79–92). http://hdl.handle.net/20.500.12708/42113 ( reposiTUm)

Mandlburger, G., Briese, C., & Pfeifer, N. (2007). Progress in LiDAR sensor technology - chance and challenge for DTM generation and data administration. In D. Fritsch (Ed.), Proceedings of the 51th Photogrammetric Week (pp. 159–169). Herbert Wichmann Verlag. http://hdl.handle.net/20.500.12708/42112 ( reposiTUm)

Mandlburger, G. (2006). Topographische Daten zur Modellierung von Überschwemmungsszenarios. In W. Gold, S. Klotz, & E. Zahn (Eds.), Geoda(eten) verbinden .... (p. 134). Österreichische Zeitschrift für Vermessung & Geoinformation, 94. Jahrgang, Heft 1+2/2006. http://hdl.handle.net/20.500.12708/41964 ( reposiTUm)

Warriner, T., & Mandlburger, G. (2005). Generating a New High Resolution DTM Product from various Data Sources. In G. Mandlburger (Ed.), Proceedings of the 50th Photogrammetric Week (pp. 197–206). http://hdl.handle.net/20.500.12708/41940 ( reposiTUm)

Briese, C., Kraus, K., Mandlburger, G., & Pfeifer, N. (2001). Einsatzmöglichkeiten der Flugzeuggetragenen Laser-Scanner. In Tagungsband der 11. Internationalen Geodätischen Woche In Obergurgl (pp. 17–26). http://hdl.handle.net/20.500.12708/43017 ( reposiTUm)

Mandlburger, G. (2022). UAV laser scanning. In A. Eltner, D. Hoffmeister, A. Kaiser, P. Karrasch, L. Klingbeil, C. Stöcker, & A. Rovere (Eds.), UAVs for the Environmental Sciences - Methods and Applications (pp. 199–217). wbg Academic. http://hdl.handle.net/20.500.12708/30759 ( reposiTUm)

Pfeifer, N., & Mandlburger, G. (2018). lidar data filtering and digital terrain model generation. In J. Shan & C. K. Toth (Eds.), Topographic Laser Ranging and Scanning - Principles and Processing, Second Edition (pp. 349–378). CRC Press. http://hdl.handle.net/20.500.12708/29722 ( reposiTUm)

Pfeifer, N., Mandlburger, G., & Glira, P. (2016). Laserscanning. In C. Heipke (Ed.), Handbuch der Geodäsie (pp. 1–51). Springer. https://doi.org/10.1007/978-3-662-46900-2_44-1 ( reposiTUm)

Pfeifer, N., & Mandlburger, G. (2008). Filtering and DTM Generation. In J. Shan & C. K. Toth (Eds.), Topographic Laser Ranging and Scanning: Principles and Processing (pp. 307–333). CRC Press. http://hdl.handle.net/20.500.12708/26178 ( reposiTUm)

Oberle, P., Bernreuther, A., He, Y., Kowalski, R., Mandlburger, G., Musall, M., Schröder, P. M., Vögtle, T., & Weidner, U. (2019). DWA-Regelwerk Merkblatt DWA-M 543-1: Geodaten in der Fließgewässermodellierung - Teil 1: Grundlagen und Verfahren. Deutsche Vereinigung für Wasserwirtschaft, Abwasser und Abfall e. V. (DWA). http://hdl.handle.net/20.500.12708/24578 ( reposiTUm)

Oberle, P., Bernreuther, A., He, Y., Kowalski, R., Mandlburger, G., Musall, M., Schröder, P. M., Vögtle, T., & Weidner, U. (2019). DWA-Regelwerk Merkblatt DWA-M 543-3: Geodaten in der Fließgewässermodellierung - Teil 3: Aspekte der Strömungsmodellierung und Fallbeispiele. Deutsche Vereinigung für Wasserwirtschaft, Abwasser und Abfall e. V. (DWA). http://hdl.handle.net/20.500.12708/24580 ( reposiTUm)

Oberle, P., Bernreuther, A., He, Y., Kowalski, R., Mandlburger, G., Musall, M., Schröder, P. M., Vögtle, T., & Weidner, U. (2019). DWA-Regelwerk Merkblatt DWA-M 543-2: Geodaten in der Fließgewässermodellierung - Teil 2: Bedarfsgerechte Datenerfassung und -aufbereitung. Deutsche Vereinigung für Wasserwirtschaft, Abwasser und Abfall e. V. (DWA). http://hdl.handle.net/20.500.12708/24579 ( reposiTUm)

Mandlburger, G. (2009). Topographische Modelle für Anwendungen in Hydraulik und Hydrologie. SVH Südwestdeutscher Verlag für Hochschulschriften. http://hdl.handle.net/20.500.12708/22722 ( reposiTUm)

Mandlburger, G. (2025, February 6). Consumer-grade Unmanned Laser Scanning - orientation, resolution and accuracy [Conference Presentation]. 4th International Workshop Point Cloud Processing (PCP25), Stuttgart, Germany. ( reposiTUm)

Mandlburger, G. (2025, April 1). Spaceborne and Airborne LiDAR - a Technology Overview [Conference Presentation]. 59th Photogrammetric Week, Stuttgart, Germany. ( reposiTUm)

Mandlburger, G. (2024). Digital twin in the pocket - 3D Modelle mit dem Smartphone [Conference Presentation]. Online-GEO-Woche 2024, Vienna, Austria. ( reposiTUm)

Mandlburger, G. (2024, September 24). UAV Laser Scanning: Design and concepts - an overview [Conference Presentation]. Unmanned Systems Workshop at Intergeo 2024, Stuttgart, Germany. ( reposiTUm)

Mandlburger, G. (2024, October 1). Sensors for UAV based Remote Sensing: LiDAR [Presentation]. Workshop on UAV-based Remote Sensing Methods for Monitoring Vegetation 2024, Köln, Germany. ( reposiTUm)

Calantropio, A., Menna, F., Skarlatos, D., Balletti, C., Mandlburger, G., Agrafiotis, P., Chiabrando, F., Lingua, A. M., Giaquinto, A., & Nocerino, E. (2024, June 12). Under and Through Water Datasets for Geospatial Studies: the 2023 ISPRS Scientific Initiative “NAUTILUS” [Conference Presentation]. ISPRS Technical Commission II Symposium 2024, Las Vegas, United States of America (the). http://hdl.handle.net/20.500.12708/199024 ( reposiTUm)

Mandlburger, G. (2023, March 23). Vergleich von Laser- und Photobathymetrie von bemannten und unbemannten Plattformen aus [Conference Presentation]. 43. Wissenschaftlich-Technische Jahrestagung der DGPF, München, Germany. http://hdl.handle.net/20.500.12708/176035 ( reposiTUm)

Mandlburger, G. (2023, November 29). Flächenhafte Erfassung der Wasseroberfläche mittels ALS [Conference Presentation]. Kolloquium Geodäsie und Fernerkundung „Nutzung von geodätischen und fernerkundlichen Methoden für das Monitoring von Gewässern“ 2023, Koblenz, Germany. ( reposiTUm)

Mandlburger, G. (2023, November 30). Bathymetry from UAVs with laser scans and images [Presentation]. Hamburger Geodätische Kolloquium (Wintersemester 2023/24), Hamburg, Germany. ( reposiTUm)

Mandlburger, G. (2023, December 4). Laserscanning aus Sicht der Photogrammetrie [Presentation]. Next Level TLS – neue Verfahren und praxisnahe Einblicke! Workshop 2023, Fulda, Germany. ( reposiTUm)

Mandlburger, G. (2023, January 26). Single Photon Lidar - Current State and Applications [Conference Presentation]. 3rd International Workshop Point Cloud Processing (PCP2023), Stuttgart, Germany. ( reposiTUm)

Takhtkeshhha, N., Mandlburger, G., Hollaus, M., Remondino, F., & Hyyppä, J. (2023, September 6). Unsupervised deep learning-based tree species mapping using multispectral airborne LiDAR data [Conference Presentation]. SilviLaser 2023, London, United Kingdom of Great Britain and Northern Ireland (the). http://hdl.handle.net/20.500.12708/188714 ( reposiTUm)

Mandlburger, G. (2022, October 4). UAV Laser Scanning [Conference Presentation]. Workshop on Application of UAVs in the Environmental Sciences, Dreseden, Germany. ( reposiTUm)

Mandlburger, G. (2022, June 10). Detection And Modelling Of Submersed Vegetation And Deadwood From Topo-Bathymetric UAV-LiDAR [Poster Presentation]. XXIVth Congress of the International Society of Photogrammetry and Remote Sensing, Nice, France. ( reposiTUm)

Mandlburger, G. (2022, November 23). Current trends in LiDAR sensor technologies [Presentation]. MoLaS Technology Workshop 2022, Freiburg, Germany. ( reposiTUm)

Kühne, E., Pfitzner, M., Steinbacher, F., Baran, R., & Mandlburger, G. (2022, October 6). NW2018-Elbe I & II: Topobathymetrische Laserscanaufnahme und Full- Waveform-Auswertung der Elbe als Beispiel der Gewässervermessung unter Extrembedingungen [Conference Presentation]. 42. Wissenschaftlich-Technische Jahrestagung der DGPF, Dreseden, Germany. http://hdl.handle.net/20.500.12708/115854 ( reposiTUm)

Riegl, U., Mandlburger, G., & Pfennigbauer, M. (2021). LiDARBathymétriqueàbasse altitude de vol : les conséquences technologiques et méthodiques de l’utilisation duLiDARàproximitéde la surface d’eau. CIDCO 2021 Colloquium, Le Centre Interdisciplinaire de Développement en Cartographie des Océans, Unknown. http://hdl.handle.net/20.500.12708/83963 ( reposiTUm)

Mandlburger, G. (2021). Recent LiDAR technologies. EuroSDR EduServ19, Unknown. http://hdl.handle.net/20.500.12708/83972 ( reposiTUm)

Mandlburger, G. (2021). State and Trends in Airborne LiDAR. XXIVth ISPRS Congress, Nice, France. http://hdl.handle.net/20.500.12708/84003 ( reposiTUm)

Mandlburger, G. (2021). Underwater mapping via UAV-borne photo and laser bathymetry. Webinar, The Surveying & Spatial Sciences Institute (SSSI) in Australia, Australia. http://hdl.handle.net/20.500.12708/84037 ( reposiTUm)

Mandlburger, G. (2021). DGM-W: Messung und Modellierung gestern, heute und morgen. Bfg-Kolloquium “Big, Smart, Geo Data - Veränderungen in der Geodäsie zum Nutzen der Wasserstraßen,” Koblenz, Germany. http://hdl.handle.net/20.500.12708/84038 ( reposiTUm)

Mandlburger, G. (2021). Status quo und Trends beim Airborne Laserscanning. Geodätisches Kolloquium am Karlsruher Institut für Technologie (KIT), Karlsruhe, Germany. http://hdl.handle.net/20.500.12708/84036 ( reposiTUm)

Mandlburger, G. (2021). The benefits of different LiDAR systems - Full waveform vs. single-photon LiDAR. SilviLaser 2021, Vienna, Austria. http://hdl.handle.net/20.500.12708/84046 ( reposiTUm)

Mandlburger, G. (2020). Technology overview, new applications and ongoing testing in single-photon LiDAR. Geospatial Content Solutions User Group Meeting 2020, Seville, Spain. http://hdl.handle.net/20.500.12708/83894 ( reposiTUm)

Mandlburger, G., Pfennigbauer, M., & Monetti, D. (2020). Detection and modelling of submersed vegetation and deadwood from topo-bathymetric UAV-LiDAR. XXIV ISPRS Congress 2022, Nice, France. http://hdl.handle.net/20.500.12708/84055 ( reposiTUm)

Mandlburger, G. (2019). State-of-the-art and Current Trends in Airborne Lidar - From Mere Scanning to Hybrid Multipurpose 3D Data Acquisition. Intergeo 2019, Stuttgart, Germany. http://hdl.handle.net/20.500.12708/83822 ( reposiTUm)

Mandlburger, G. (2019). Evaluation of Single Photon and waveform LiDAR. Workshop on Evaluation and Benchmarking of Sensors, Systems and Geospatial Data in Photogrammetry and Remote Sensing, Warsaw, Poland. http://hdl.handle.net/20.500.12708/83821 ( reposiTUm)

Hollaus, M., Karel, W., Pfeifer, N., & Mandlburger, G. (2019). Studying Tree Growth Based on Multi-Temporal ALS Data. SilviLaser 2019, Iguazu Falls, Brazil. http://hdl.handle.net/20.500.12708/83824 ( reposiTUm)

Mandlburger, G. (2019). Modern LIDAR Sensor Technologies - an Overview. 2nd International Workshop Point Cloud Processing (EuroSDR PCP 2019), Stuttgart, Germany. http://hdl.handle.net/20.500.12708/83857 ( reposiTUm)

Mandlburger, G. (2019). Airborne Single Photon LiDAR, eine neue Generation zur Gelände- und Wasseroberflächenerfassung. BFG-Kolloquim “Ingenieurgeodäsie für eine zeitgemäße Infrastruktur der Bundeswasserstraßen,” Koblenz, Germany. http://hdl.handle.net/20.500.12708/83856 ( reposiTUm)

Mandlburger, G. (2019). Erfassung von 3D-Punktwolken - Methoden, Sensoren, Orientierung und Vorverarbeitung. Vermessung aktuell: Punktwolken - und was jetzt?, Innsbruck, Austria. http://hdl.handle.net/20.500.12708/83819 ( reposiTUm)

Mandlburger, G. (2019). Modern LIDAR sensor technologies. 57th Photogrammetric Week, Stuttgart, Germany. http://hdl.handle.net/20.500.12708/83820 ( reposiTUm)

Mandlburger, G. (2018). Flugzeuglaserscanning - Aktuelle technologische Trends bei Plattformen, Sensoren und Auswertetechniken. Geodätisches Kolloquium der TU Dresden, Dresden, Germany. http://hdl.handle.net/20.500.12708/83672 ( reposiTUm)

Mandlburger, G. (2018). Topography and Bathymetry via Laser Scanning and Multi-Spectral Imaging - From Sensors to Applications. ISPRS TC I Mid-term Symposium “Innovative Sensing - From Sensors to Methods and Applications,” Karlsruhe, Germany. http://hdl.handle.net/20.500.12708/83703 ( reposiTUm)

Karel, W., Mandlburger, G., Pfeifer, N., Korcz, D., & Wenzel, K. (2018). Benchmark-Ableitung historischer Orthophotos. 7. AdV-Workshop Ableitung von Historischen Orthophotos, Limburg an der Lahn, Germany. http://hdl.handle.net/20.500.12708/83656 ( reposiTUm)

Doneus, M., Miholjek, I., Doneus, N., Mandlburger, G., Briese, C., & Verhoeven, G. (2017). Airborne laser bathymetry in the Cres/Losinj archipelago. Aerial Archaeology Research Group 2017 Annual Conference (AARG Annual Meeting 2017), Pula, Croatia. http://hdl.handle.net/20.500.12708/83660 ( reposiTUm)

Winiwarter, L., Otepka-Schremmer, J., Mandlburger, G., & Thimian, G. (2017). Von Punktwolken zur Struktur im Gelände: Ableitung morphologischer Information mit OPALS. Deutscher Kongress für Geographie 2017, Tübingen, Germany. http://hdl.handle.net/20.500.12708/83560 ( reposiTUm)

Mandlburger, G. (2016). Die Laservermessung der Pielach: Ofenloch bis Neubacher Au. Kulturtage Loosdorf 2016, Loosdorf, Austria. http://hdl.handle.net/20.500.12708/83419 ( reposiTUm)

Mandlburger, G. (2016). UAV-basierte Erfassung von Gewässerquerschnitten mittels Laser Depth Finder. GEOSummit 2016, Bern, Switzerland, Non-EU. http://hdl.handle.net/20.500.12708/83420 ( reposiTUm)

Wieser, M., Glira, P., & Mandlburger, G. (2016). Prozessierung von ALB-Daten mittels OPALS. Gewässervermessung aus der Luft 2016, Innsbruck, Austria. http://hdl.handle.net/20.500.12708/83412 ( reposiTUm)

Mandlburger, G. (2016). Eigenschaften und Verarbeitung topo-bathymetrischer Punktwolken - Von der Wellenform zum DGM. Gewässervermessung aus der Luft 2016, Innsbruck, Austria. http://hdl.handle.net/20.500.12708/83411 ( reposiTUm)

Pilarska, M., & Mandlburger, G. (2016). Radiometric calibration of multi - spectral airborne laser scanning data. Multispectral Lidar Workshop, Shatin, Hong Kong, Non-EU. http://hdl.handle.net/20.500.12708/83518 ( reposiTUm)

Wang, D., Hollaus, M., Wieser, M., Mandlburger, G., & Pfeifer, N. (2016). Retrieval of Stem Curve Using UAV LiDAR. 3rd EARSeL SIG Forestry Workshop 2016, Krakow, Poland, EU. http://hdl.handle.net/20.500.12708/83464 ( reposiTUm)

Mandlburger, G., Ullrich, A., & Wenzel, K. (2016). Towards a Combined Use of Airborne LiDAR & Dense Image Matching for Topographic Mapping. International LiDAR Mapping Forum 2017, Denver, Colorado, USA, Non-EU. http://hdl.handle.net/20.500.12708/83524 ( reposiTUm)

Mandlburger, G. (2015). Topo-bathymetrische Punktwolken: Analyse und Konsequenzen für die Datenprozessierung. Gewässervermessung aus der Luft, Innsbruck, Austria. http://hdl.handle.net/20.500.12708/83277 ( reposiTUm)

Glira, P., Pfeifer, N., & Mandlburger, G. (2015). Rigorous Strip Adjustment Of UAV-Based Laserscanning Data Including Time-Dependent Correction of Trajectory Errors. 9th International Symposium on Mobile Mapping Technology MMT2015, Sydney, Australia, Non-EU. http://hdl.handle.net/20.500.12708/83450 ( reposiTUm)

Mandlburger, G., Pfennigbauer, M., & Haring, A. (2015). Interaction of laser pulses with the water surface at different wavelengths and angles of incidence. CapturingReality: 3D, laser scannning & LiDAR technologies forum, Salzburg, Austria. http://hdl.handle.net/20.500.12708/83358 ( reposiTUm)

Eysn, L., & Mandlburger, G. (2014). OPALS Basics, Interpolation, Features, Attributes, Filtering. EUFAR2 Expert Working Group meeting: Airborne Laser Scanning Software, Vienna, Austria, Austria. http://hdl.handle.net/20.500.12708/83194 ( reposiTUm)

Mandlburger, G., Wieser, M., Otepka-Schremmer, J., Pfennigbauer, M., & Pfeifer, N. (2014). Documentation of flood-induced changes of fluvial topography based on Airborne Laser Bathymetry. European LiDAR Mapping Forum 2014, Amsterdam, The Netherlands, EU. http://hdl.handle.net/20.500.12708/83251 ( reposiTUm)

Mandlburger, G., Hollaus, M., Eysn, L., Mücke, W., Otepka-Schremmer, J., Karel, W., Briese, C., Zlinszky, A., Vetter, M., Melzer, T., Dorninger, P., & Pfeifer, N. (2013). 3D Punktwolken sind mehr wert ... VoGIS-Fachforum 2013, Feldkirch, Austria. http://hdl.handle.net/20.500.12708/83075 ( reposiTUm)

Mandlburger, G. (2013). Measuring and modelling of fluvial topography. International Workshop “The Role of Geomatics in Hydrogeological Risk,” Padua, EU. http://hdl.handle.net/20.500.12708/82995 ( reposiTUm)

Mandlburger, G. (2012). Lidar-Daten im wasserbaulichen und wasserwirtschaftlichen Umfeld. AHM Workshop - Airborne Hydromapping, Augsburg, EU. http://hdl.handle.net/20.500.12708/82907 ( reposiTUm)

Mandlburger, G. (2011). 3D Remote Sensing Sensors - Mapping the Earth in 3D. Hengstberger Symposium “Towards Digital Earth - 3D Spatial Data Infrastructures,” Heidelberg, EU. http://hdl.handle.net/20.500.12708/82776 ( reposiTUm)

Otepka-Schremmer, J., Mandlburger, G., Karel, W., Wöhrer, B., & Roncat, A. (2011). Verteilte Prozessierung von ALS-Daten mittels Cloud-Computing - Erste Ergebnisse einer Pilotstudie. 16. Internationale geodätische Woche Obergurgl, Obergurgl, Austria. http://hdl.handle.net/20.500.12708/82679 ( reposiTUm)

Mandlburger, G. (2011). LiDAR Data Management from a trans-national perspective. ESF Exploratory Workshop, Heidelberg, EU. http://hdl.handle.net/20.500.12708/82778 ( reposiTUm)

Mandlburger, G. (2009). DTM generation from ALS data for flood extent mapping. Terrasolid European Users Event 2009, Wien, Austria. http://hdl.handle.net/20.500.12708/82299 ( reposiTUm)

Mandlburger, G. (2007). Digitale Geländemodelle für Flood Risk Management. OVG-Kolloquium, Wien, Österreich, Austria. http://hdl.handle.net/20.500.12708/81979 ( reposiTUm)

Dorninger, P., Briese, C., Jansa, J., Mandlburger, G., & Kraus, K. (2002). High Quality Visualizations and Analyses of the Mars Surface. Exploring Mars Surface and its Earth Analogues, Sicily and Mount Etna, Italien/Sizilien, Austria. http://hdl.handle.net/20.500.12708/81521 ( reposiTUm)

Schütz, M., Mandlburger, G., Otepka-Schremmer, J., & Wimmer, M. (2019). Progressive Real-Time Rendering of One Billion Points Without Hierarchical Acceleration Structures (TR-193-02-2019-4). http://hdl.handle.net/20.500.12708/39813 ( reposiTUm)

Mandlburger, G. (2025, February 9). Airborne Lidar: A Tutorial for 2025 : Part II: Integrated Systems. Lidar Magazine. ( reposiTUm)

Janowski, Ł., Tysiąc, P., & Mandlburger, G. (2024). An increasingly promising instrument in the hydrographic surveying toolkit : Charting depths from above with airborne bathymetric Lidar. Hydro International, 28(4), 25–29. http://hdl.handle.net/20.500.12708/210590 ( reposiTUm)

Mandlburger, G. (2024, December 30). Airborne Lidar: A Tutorial for 2025 : Part I: Lidar basics. Lidar Magazine, 14(4), 26–31. http://hdl.handle.net/20.500.12708/210972 ( reposiTUm)

Riederer, K., Simböck, D., & Mandlburger, G. (2024). Ein Blick unter Wasser : Untersuchung der Pfahlbausiedlung Mondsee mit optischer Bathymetrie. Palafittes News, 5, 44–49. http://hdl.handle.net/20.500.12708/210731 ( reposiTUm)

Mandlburger, G., Pfennigbauer, M., & Monetti, D. (2022). Underwater Deadwood and Vegetation from UAV-borne Topobathymetric Lidar. Hydro International, 26(2), 24–26. http://hdl.handle.net/20.500.12708/136845 ( reposiTUm)

Mandlburger, G. (2022). Gewässervermessung mit UAV. BDVI-Forum, 48(2), 6–14. http://hdl.handle.net/20.500.12708/136919 ( reposiTUm)

Mandlburger, G. (2021). Bathymetry from active and passive photogrammetry [Professorial Dissertation, Technische Universität Wien]. reposiTUm. http://hdl.handle.net/20.500.12708/158921 ( reposiTUm)