Publications
2022
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Bahmanpouri, F., Eltner, A., Barbetta, S., Bertalan, L., Moramarco, T. (accepted): Estimating the average river cross section velocity by observing only one surface velocity value and calibrating the entropic parameter. Water Resources Research. (Link WRR)
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Martins, J., Marcato Junior, J., Paetzig, M., Sant’Ana, D., Pistori, H., Liesenberg, V., Eltner, A. (2022): Deep Learning for improved biodiversity measurement in kettle holes. Remote Sensing in Ecology and Conservation. (Link RSEC)
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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 MDPI).
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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 (Link wbg, 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).
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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).