Publikationen

2024

  • Barrasso, C., Krüger, R., Eltner, A., Cord, A. (2024): Mapping indicator species of segetal flora for result-based payments in arable land using UAV imagery and deep learning. Ecological Indicators, 169, 112780. (Link EI)
  • Moudrý, V., Prošek, J., Marselis, S., Gdulová, K., Kozhoridze, G., Šárovcová, E., Torresani, M., Rocchini, D., Marešová, J., Eltner, A., Liu, X., Potůčková, M., Šedová, A., Crespo-Peremarch, P., Torralba, J., Ruiz, L., Perrone, M., Špatenková, O., Wild, J. (2024): How to find accurate terrain and canopy height GEDI footprints in temperate forests and grasslands? Earth and Space Science, 11(10), e2024EA003709 (Link ESS)
  • Wolff, F., Lorenz, S., Korpelainen, P., Eltner, A., Kumpula, T. (2024). UAV and field hyperspectral imaging for Sphagnum discrimination and vegetation modelling in Finnish aapa mires. International Journal of Applied Earth Observation and Geoinformation, 134, 104201 (Link JAG)
  • Elias, M., Isfort, S., Eltner, A., Maas, H.-G. (2024). UAS Photogrammetry for Precise Digital Elevation Models of Complex Topography: A Strategy Guide. ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-2-2024, 57–64. (Link ISPRS Annals)
  • Krüger, R., Karrasch, P., Eltner, A. (2024). Calibrating low-cost rain gauge sensors for their applications in Internet of Things (IoT) infrastructures to densify environmental monitoring networks. Geoscientific Instrumentation, Methods & Data Systems, 13, 163–176. (Link Copernicus)
  • Wolff, F., Lotsari, E., Spieler, D., Elias, M., Eltner, A. (2024). Enhancement of two-dimensional hydrodynamic modelling based on UAV- flow velocity. Earth Surface Processes and Landforms, 49(9), 2736-2750, (Link Wiley). Short Info.
  • Evans, D., Candido, B., Coelho, R., de Maria, I., de Moreas, J., Eltner, A., Martins, L., Cantarella, H. (2024). The loss of soil parent material: detecting and measuring the erosion of saprolite. Soil Systems, 8(2), 43 (Link Soil Systems)
  • Manfreda, S., Miglino, D., Saddi, K. C., Jomaa, S., Eltner, A., Perks, M., Pena, S., Bogaard, T., van Emmerik, T., Mariani, S., Maddock, I., Tauro, F., Grimaldi, S., Zeng, Y., Gonçalves, G., Strelnikova, D., Bussettini, M., Marchetti, G., lastoria, B, Su, Z., Rode, M. (2024): Advancing hydrological monitoring using image-based techniques: challenges and opportunities. Hydrological Sciences Journal (Link TandF)
  • Isfort, S., Elias, M., Eltner, A., Maas, H.-G. (2024): Direkte Georeferenzierung von UAV-Bildflügen: Ein Praxistest im glazialen Terrain. In: Luhmann, T. & Sieberth, T. (Hrsg.) Photogrammetrie – Laserscanning – Optische 3D-Messtechnik: Beiträge der Oldenburger 3D-Tage, Band XI. S. 118-127 (Link Band)
  • Grundmann, J., Eltner, A., Blanch, X., Kutscher, A., Hedel, R. (2024): Zum Einsatz künstlicher Intelligenz für die optische Bestimmung von Wasserstand und Durchfluss in natürlichen Fließgewässern. Von der Technischen Hydromechanik zu Environmental Fluid Dynamics - Dresdner Wasserbauliche Mitteilungen, 72, 11-18.
  • Grothum, O., Epple, L., Bienert, A., Eltner, A. (2024): Beobachtung und Rekonstruktion von Bodenerosionsprozessen mit permanenten Kamerastationen. Publikationen der DGPF e.V., Band 32, 106-115 (Link Band)
  • Pajunen, V., Lotsari, E., Välimäki, J.-M., Wolff, F., Kärkkäinen, M, Blåfield, L., Eltner, A. (2024): The impacts of low flow, ice-cover and ice thickness on sediment load in a sub-arctic river – Modelling sediment transport with particle image velocimetry calibration data sets. Earth Surface Processes and Landforms, 49(6), 1954-1968. (Link Wiley)
  • Blanch, X., Guinau, M., Eltner, A., Abellan, A. (2024): A cost-effective image-based system for 3D geomorphic monitoring: An application to rockfalls. Geomorphology, 449, 109065 (Link Elsevier)

2023

  • Grothum, O., Bienert, A., Blümlein, M., Eltner, A. (2023): Using machine learning techniques to filter vegetation in colorized point clouds of soil surfaces. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1/W2-2023, 163-170 (Link ISPRS)

  • Maiwald, F., Feurer, D., Eltner, A. (2023): Solving photogrammetric cold cases using AI-based image matching: New potential for monitoring the past with historical aerial images. ISPRS Journal of Photogrammetry and Remote Sensing, 206, 184-200 (Link Elsevier)

  • Liebold, F., Mader, D., Sardemann, H., Eltner, A., Maas, H.-G. (2023): A Bi-radial Model for Lens Distortion Correction of Low-cost UAV Cameras. Remote Sensing, 15(22), 5283 (Link Remote Sensing)

  • Eltner, A., Blanch, X., Grothum, O., Hendrickx, H., Kirsch, M., Krüger, R., Thiele, S. (eds.): VGC 2023 – Unveiling the dynamic Earth with digital methods. 5th Virtual Geoscience Conference, Dresden, 2023. (Link VGC Abstracts)

  • Blanch, X., Guinau, M., Eltner, A., Abellan, A. (2023): Fixed photogrammetric systems for natural hazard monitoring with high spatio-temporal resolution. Natural Hazards and Earth System Sciences, 23 (10),  3285–3303 (Link Copernicus)
  • Elias, M., Weitkamp, A., Eltner, A. (2023): Multi-modal image matching to colorize a SLAM based point cloud with arbitrary data from a thermal camera. ISPRS Open Journal of Photogrammetry and Remote Sensing, 9, 100041 (Link Open ISPRS)
  • Blaskow, R., Eltner, A. (2023): Investigation of the suitability of a personal laser scanning device for the monitoring of small water bodies. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1/W1-2023, 45-50 (Link ISPRS Archives)
  • Wagner, F., Eltner, A., Maas, H.-G. (2023): River Water Segmentation in Surveillance Camera Images: A Comparative Study of Offline and Online Augmentation using 32 CNNs. International Journal of Applied Earth Observation and Geoinformation, 119, 103305 (Link JAEOG).
  • Braßel, H., Zeh, T., Fricke, H., Eltner, A. (2023): Optimal UAV Hangar Locations for Emergency Services Considering Restricted Areas. Drones, 7, 203 (Link Drones)

  • Bertalan, L., Eltner, A., Maddock, I., Pizarro, A. (2023): Monitoring of river channel dynamics by UAS. In: Manfreda, S. & Dor Eyal, B. (eds.), Unmanned Aerial System for Monitoring Soil, Vegetation, and Riverine Environments. Earth Observation Series, ch. 11 (Link Book).

  • Malinowski, R., Heckrath, G., Rybicki, M., Eltner, A. (2023): Mapping rill soil erosion in agricultural fields with UAV-borne remote sensing data. Earth Surface Processes and Landforms, 48(3), 596-612. (Link ESPL)

  • Martins, J., Marcato Junior, J., Paetzig, M., Sant’Ana, D., Pistori, H., Liesenberg, V., Eltner, A. (2023): Deep Learning for improved biodiversity measurement in kettle holes. Remote Sensing in Ecology and Conservation, 9(1), 1-16. (Link RSEC)

2022

  • Rutzinger, M., Anders, K., Bremer, M., Eltner, A., Höfle, B., Lindenbergh, R., Mayr, A., Oude Elberink, S., Pirotti, F., Scaioni, M., Tolksdorf, H., Zieher, T. (Eds.) (2022): Sensing Mountains. Innsbruck  Summer School of Alpine Research 2022 – Close Range Sensing Techniques in Alpine Terrain. Innsbruck: innsbruck university press (IUP). https://doi.org/10.15203/99106-081-9

  • Paffenholz, J.-A., Eltner, A., Dingerdissen, U., Flatt, H., Fast, H., Loges, S., Ostrau, S., Soot, M., Weitkamp A. (2022): 3D-Punktwolkenbasierte Umgebungserfassung für die Detektion klimarelevanter Immobilienparameter. Schriftenreihe des DVW -TLS 2022, Band 104, 187-197. (Link DVW)

  • Soot, M., Dingerdissen, U., Eltner, A., Flatt, H., Fast, H., Loges, S., Ostrau, S., Paffenholz, J.-A., Weitkamp A. (2022): Vorstudie zu wertbeeinflussenden Parametern hinsichtlich der Klimaeffizienz von Wohngebäuden. AVN - Fachbeitrag begutachtet. (avn)

  • Bahmanpouri, F., Eltner, A., Barbetta, S., Bertalan, L., Moramarco, T. (2022): Estimating the average river cross section velocity by observing only one surface velocity value and calibrating the entropic parameter. Water Resources Research. (Link WRR)

  • Epple, L., Kaiser, A., Schindewolf, M., Bienert, A., Lenz, J., Eltner, A. (2022): A Review on the Possibilities and Challenges of Today’s Soil and Soil Surface Assessment Techniques in the Context of Process-Based Soil Erosion Models. Remote Sensing, 14(10), 2468 (Link RS).

  • Eltner, A., Hoffmeister, D., Kaiser, A., Karrasch, P., Klingbeil, L., Stöcker, C., Rovere, A. (Hg.) (2022): UAVs for the Environmental Sciences: Methods and Applications. 492 p., wbg Academic (open-access version).

  • Schulze, R., Mader, D., Eltner, A. (2022): Genauigkeitspotential direkt georeferenzierter UAS-Messungen am Beispiel eines Bahnhaltepunktes. DGPF Tagungsband 30, 243-255,  doi: 10.24407/KXP:1796036617 (Link Band) .
  • Karrasch, P., Müller, M., Bauer, K., Eltner, A. (2022): OpenDroP – eine offene Plattform zum Teilen von UAV-Daten. AVN - Fachbeiträge aus der Praxis, 01-02, 23-29 (avn).

2021

  • Akiyama, T., Junior, J.M., Gonçalves, W., de Araújo Carvalho, M., Eltner, A. (2021): Evaluating Different Deep Learning Models for Automatic Water Segmentation. 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 4716-4719 (Link IEEE)

  • Eltner, A., Bertalan, L., Perks, M., Grundmann, J., Lotsari, E. (2021): Hydro‐morphological mapping of river reaches using videos captured with unoccupied aerial systems. Earth Surface Processes and Landforms. 10.1002/esp.5205 (Link ESP&L).

  • Eltner, A., Mader, D., Szopos, N., Nagy, B., Grundmann, J., Bertalan, L.  (2021): USING THERMAL AND RGB UAV IMAGERY TO MEASURE SURFACE FLOW VELOCITIES OF RIVERS. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2021, 717–722 (Link ISPRS Archives).
  • Blaskow, R., Schwalbe, E. (2021): DEVELOPMENT OF A LOW-COST, HAND-HELD MULTI-SENSOR SYSTEM FOR THE MONITORING OF SMALL WATER BODIES. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2021, 93–96 (Link ISPRS Archives).
  • Ljubičić, R., Strelnikova, D., Perks, M.T., Eltner, A., Peña-Haro, S., Pizarro, A., Dal Sasso, S.F., Scherling, U., Vuono, P., Manfreda, S. (2021): A comparison of tools and techniques for stabilising UAS imagery for surface flow observations. Hydrology and Earth System Sciences, 25, 5105–5132 (Link HESS)
  • Blanch, X., Eltner, A., Guinau, M., Abellan, A. (2021): Multi-epoch and multi-imagery (MEMI) photogrammetric workflow for enhanced change detection using time-lapse cameras. Remote Sensing, 13(8), 1460 (Link RS).

  • Eltner, A., Bressan, P., Goncalves, W., Akiyama, T., Marcato Junior, J. (2021): Using deep learning for automatic water level measurement. Water Resources Research, 55(3), e2020WR027608 (Link WRR).

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Anette Eltner
Letzte Änderung: 11.11.2024