- Article
(2582 KB) - Metadata XML
- July 30, 2025
- |
- Home
- |
- Sitemap
- |
- The ISPRS Foundation
- |
- 𝕏
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume XLVIII-2/W10-2025
https://doi.org/10.5194/isprs-archives-XLVIII-2-W10-2025-185-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/isprs-archives-XLVIII-2-W10-2025-185-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
07 Jul 2025
| 07 Jul 2025
New Approaches in Photo-Bathymetry
Hans-Gerd Maas
Institute of Photogrammetry and Remote Sensing, TUD, Dresden University of Technology, Germany
Hannes Sardemann
Institute of Photogrammetry and Remote Sensing, TUD, Dresden University of Technology, Germany
Christian Mulsow
Institute of Photogrammetry and Remote Sensing, TUD, Dresden University of Technology, Germany
Laure-Anne Gueguen
Department of Geodesy and Geoinformation, TU Wien, Austria
Gottfried Mandlburger
Department of Geodesy and Geoinformation, TU Wien, Austria
Related authors
Milad Davoudkhani, Christian Mulsow, and Hans-Gerd Maas
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-G-2025, 351–358, https://doi.org/10.5194/isprs-archives-XLVIII-G-2025-351-2025, https://doi.org/10.5194/isprs-archives-XLVIII-G-2025-351-2025, 2025
Frank Liebold and Hans-Gerd Maas
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-W7-2024, 65–72, https://doi.org/10.5194/isprs-archives-XLVIII-2-W7-2024-65-2024, https://doi.org/10.5194/isprs-archives-XLVIII-2-W7-2024-65-2024, 2024
Anne Bienert, Katja Richter, Sophia Boehme, and Hans-Gerd Maas
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-2024, 33–40, https://doi.org/10.5194/isprs-archives-XLVIII-2-2024-33-2024, https://doi.org/10.5194/isprs-archives-XLVIII-2-2024-33-2024, 2024
Christian Mulsow, Hannes Sardemann, Laure-Anne Gueguen, Gottfried Mandelburger, and Hans-Gerd Maas
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-2024, 289–295, https://doi.org/10.5194/isprs-archives-XLVIII-2-2024-289-2024, https://doi.org/10.5194/isprs-archives-XLVIII-2-2024-289-2024, 2024
Katja Richter, David Mader, Hannes Sardemann, and Hans-Gerd Maas
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-2024, 341–348, https://doi.org/10.5194/isprs-archives-XLVIII-2-2024-341-2024, https://doi.org/10.5194/isprs-archives-XLVIII-2-2024-341-2024, 2024
Hannes Sardemann, Christian Mulsow, Laure-Anne Gueguen, Gottfried Mandlburger, and Hans-Gerd Maas
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-2024, 363–369, https://doi.org/10.5194/isprs-archives-XLVIII-2-2024-363-2024, https://doi.org/10.5194/isprs-archives-XLVIII-2-2024-363-2024, 2024
Robert Blaskow and Hans-Gerd Maas
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-2-2024, 9–16, https://doi.org/10.5194/isprs-annals-X-2-2024-9-2024, https://doi.org/10.5194/isprs-annals-X-2-2024-9-2024, 2024
Melanie Elias, Steffen Isfort, Anette Eltner, and Hans-Gerd Maas
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-2-2024, 57–64, https://doi.org/10.5194/isprs-annals-X-2-2024-57-2024, https://doi.org/10.5194/isprs-annals-X-2-2024-57-2024, 2024
Steffen Isfort, Melanie Elias, and Hans-Gerd Maas
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-2-2024, 113–120, https://doi.org/10.5194/isprs-annals-X-2-2024-113-2024, https://doi.org/10.5194/isprs-annals-X-2-2024-113-2024, 2024
F. Wagner and H.-G. Maas
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W2-2023, 1667–1676, https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-1667-2023, https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-1667-2023, 2023
F. Liebold and H.-G. Maas
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-W2-2022, 61–68, https://doi.org/10.5194/isprs-archives-XLVIII-2-W2-2022-61-2022, https://doi.org/10.5194/isprs-archives-XLVIII-2-W2-2022-61-2022, 2022
S. Isfort, F. Maiwald, C. Mulsow, and H.-G. Maas
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2022, 113–119, https://doi.org/10.5194/isprs-archives-XLIII-B1-2022-113-2022, https://doi.org/10.5194/isprs-archives-XLIII-B1-2022-113-2022, 2022
M. Jarzabek-Rychard and H.-G. Maas
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2022, 395–400, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-395-2022, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-395-2022, 2022
K. Richter, D. Mader, P. Westfeld, and H.-G. Maas
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2022, 945–951, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-945-2022, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-945-2022, 2022
M. Jarząbek-Rychard and H-G. Maas
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., VIII-5-W1-2022, 1–7, https://doi.org/10.5194/isprs-annals-VIII-5-W1-2022-1-2022, https://doi.org/10.5194/isprs-annals-VIII-5-W1-2022-1-2022, 2022
F. Liebold, R. Lorenzoni, I. Curosu, F. Léonard, V. Mechtcherine, S. Paciornik, and H.-G. Maas
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2021, 533–539, https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-533-2021, https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-533-2021, 2021
K. Richter, D. Mader, P. Westfeld, and H.-G. Maas
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2021, 681–688, https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-681-2021, https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-681-2021, 2021
H. Sardemann, C. Mulsow, and H.-G. Maas
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2021, 689–692, https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-689-2021, https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-689-2021, 2021
E. Johnson, D. Floricioiu, E. Schwalbe, R. Koschitzki, H.-G. Maas, C. Cardenas, and G. Casassa
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-3-W2-2020, 125–127, https://doi.org/10.5194/isprs-annals-IV-3-W2-2020-125-2020, https://doi.org/10.5194/isprs-annals-IV-3-W2-2020-125-2020, 2020
E. Schwalbe, R. Koschitzki, E. Johnson, D. F. Mojica Moncada, B. Schröter, C. Cardenas, G. Casassa, and H.-G. Maas
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-3-W2-2020, 129–131, https://doi.org/10.5194/isprs-annals-IV-3-W2-2020-129-2020, https://doi.org/10.5194/isprs-annals-IV-3-W2-2020-129-2020, 2020
M. Elias and H.-G. Maas
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-1-2020, 181–187, https://doi.org/10.5194/isprs-annals-V-1-2020-181-2020, https://doi.org/10.5194/isprs-annals-V-1-2020-181-2020, 2020
C. Mulsow, G. Mandlburger, and H.-G. Maas
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2020, 671–677, https://doi.org/10.5194/isprs-annals-V-2-2020-671-2020, https://doi.org/10.5194/isprs-annals-V-2-2020-671-2020, 2020
F. Liebold, H.-G. Maas, and A. A. Heravi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W18, 107–113, https://doi.org/10.5194/isprs-archives-XLII-2-W18-107-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W18-107-2019, 2019
T. Kaiser, C. Clemen, and H.-G. Maas
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-5-W2, 35–39, https://doi.org/10.5194/isprs-archives-XLII-5-W2-35-2019, https://doi.org/10.5194/isprs-archives-XLII-5-W2-35-2019, 2019
D. Mader, K. Richter, P. Westfeld, R. Weiß, and H.-G. Maas
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 1053–1059, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1053-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1053-2019, 2019
D. Lin, Z. Dong, X. Zhang, and H.-G. Maas
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W5, 45–51, https://doi.org/10.5194/isprs-annals-IV-2-W5-45-2019, https://doi.org/10.5194/isprs-annals-IV-2-W5-45-2019, 2019
S. C. L. Ribeiro, M. Jarzabek-Rychard, J. P. Cintra, and H.-G. Maas
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W5, 437–444, https://doi.org/10.5194/isprs-annals-IV-2-W5-437-2019, https://doi.org/10.5194/isprs-annals-IV-2-W5-437-2019, 2019
H.-G. Maas, D. Mader, K. Richter, and P. Westfeld
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W10, 113–117, https://doi.org/10.5194/isprs-archives-XLII-2-W10-113-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W10-113-2019, 2019
M. Kröhnert, R. Anderson, J. Bumberger, P. Dietrich, W. S. Harpole, and H.-G. Maas
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 539–542, https://doi.org/10.5194/isprs-archives-XLII-2-539-2018, https://doi.org/10.5194/isprs-archives-XLII-2-539-2018, 2018
D. Lin, M. Jarzabek-Rychard, D. Schneider, and H.-G. Maas
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 585–591, https://doi.org/10.5194/isprs-archives-XLII-2-585-2018, https://doi.org/10.5194/isprs-archives-XLII-2-585-2018, 2018
C. Mulsow, R. Kenner, Y. Bühler, A. Stoffel, and H.-G. Maas
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 739–744, https://doi.org/10.5194/isprs-archives-XLII-2-739-2018, https://doi.org/10.5194/isprs-archives-XLII-2-739-2018, 2018
K. Richter, D. Mader, P. Westfeld, and H.-G. Maas
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 961–967, https://doi.org/10.5194/isprs-archives-XLII-2-961-2018, https://doi.org/10.5194/isprs-archives-XLII-2-961-2018, 2018
H. Sardemann, A. Eltner, and H.-G. Maas
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 1023–1027, https://doi.org/10.5194/isprs-archives-XLII-2-1023-2018, https://doi.org/10.5194/isprs-archives-XLII-2-1023-2018, 2018
E. Watson, H.-G. Maas, F. Schäfer, and S. Hiermaier
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 1175–1181, https://doi.org/10.5194/isprs-archives-XLII-2-1175-2018, https://doi.org/10.5194/isprs-archives-XLII-2-1175-2018, 2018
F. Liebold and H.-G. Maas
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2, 193–200, https://doi.org/10.5194/isprs-annals-IV-2-193-2018, https://doi.org/10.5194/isprs-annals-IV-2-193-2018, 2018
D. Lin, A. Eltner, H. Sardemann, and H.-G. Maas
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2, 201–208, https://doi.org/10.5194/isprs-annals-IV-2-201-2018, https://doi.org/10.5194/isprs-annals-IV-2-201-2018, 2018
Ellen Schwalbe and Hans-Gerd Maas
Earth Surf. Dynam., 5, 861–879, https://doi.org/10.5194/esurf-5-861-2017, https://doi.org/10.5194/esurf-5-861-2017, 2017
Short summary
Short summary
The simple use of time-lapse cameras as a visual observation tool may already be a great help for environmental investigations. However, beyond that, they have the potential to also deliver precise measurements with high temporal and spatial resolution when applying appropriate processing techniques. In this paper we introduce a method for the determination of glacier motion fields from time-lapse images, but it might also be adapted for other environmental motion analysis tasks.
Milad Davoudkhani, Christian Mulsow, and Hans-Gerd Maas
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-G-2025, 351–358, https://doi.org/10.5194/isprs-archives-XLVIII-G-2025-351-2025, https://doi.org/10.5194/isprs-archives-XLVIII-G-2025-351-2025, 2025
Laure-Anne Gueguen, Martin Wieser, and Gottfried Mandlburger
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-G-2025, 535–540, https://doi.org/10.5194/isprs-archives-XLVIII-G-2025-535-2025, https://doi.org/10.5194/isprs-archives-XLVIII-G-2025-535-2025, 2025
Jan Rhomberg-Kauert, Lucas Dammert, and Gottfried Mandlburger
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-G-2025, 721–728, https://doi.org/10.5194/isprs-annals-X-G-2025-721-2025, https://doi.org/10.5194/isprs-annals-X-G-2025-721-2025, 2025
Lucas Dammert, Tomas Thalmann, Florian Pöppl, David Monetti, Hans-Berndt Neuner, and Gottfried Mandlburger
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-G-2025, 213–220, https://doi.org/10.5194/isprs-annals-X-G-2025-213-2025, https://doi.org/10.5194/isprs-annals-X-G-2025-213-2025, 2025
Markus Brezovsky, Anatol Günthner, Frederik Schulte, Lukas Winiwarter, Boris Jutzi, and Gottfried Mandlburger
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-W10-2025, 39–45, https://doi.org/10.5194/isprs-archives-XLVIII-2-W10-2025-39-2025, https://doi.org/10.5194/isprs-archives-XLVIII-2-W10-2025-39-2025, 2025
Lucas Dammert, Jan Rhomberg-Kauert, Tomas Thalmann, Laure-Anne Gueguen, David Monetti, Hans-Berndt Neuner, and Gottfried Mandlburger
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-W10-2025, 55–62, https://doi.org/10.5194/isprs-archives-XLVIII-2-W10-2025-55-2025, https://doi.org/10.5194/isprs-archives-XLVIII-2-W10-2025-55-2025, 2025
Michael Grömer, Benjamin Wild, Camillo Ressl, Johannes Otepka, and Gottfried Mandlburger
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-W10-2025, 95–100, https://doi.org/10.5194/isprs-archives-XLVIII-2-W10-2025-95-2025, https://doi.org/10.5194/isprs-archives-XLVIII-2-W10-2025-95-2025, 2025
Anatol Günthner, Markus Brezovsky, Frederik Schulte, Lukas Winiwarter, Gottfried Mandlburger, and Boris Jutzi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-W10-2025, 107–114, https://doi.org/10.5194/isprs-archives-XLVIII-2-W10-2025-107-2025, https://doi.org/10.5194/isprs-archives-XLVIII-2-W10-2025-107-2025, 2025
Joseph C. Haines, Maria V. Peppa, Christos Iliadis, Jon P. Mills, Vassilis Glenis, and Gottfried Mandlburger
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-W10-2025, 115–122, https://doi.org/10.5194/isprs-archives-XLVIII-2-W10-2025-115-2025, https://doi.org/10.5194/isprs-archives-XLVIII-2-W10-2025-115-2025, 2025
Theresa Himmelsbach, Jan Rhomberg-Kauert, Gottfried Mandlburger, Wolfgang Dobler, Bernhard Gems, and Markus Aufleger
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-W10-2025, 131–138, https://doi.org/10.5194/isprs-archives-XLVIII-2-W10-2025-131-2025, https://doi.org/10.5194/isprs-archives-XLVIII-2-W10-2025-131-2025, 2025
Jan Rhomberg-Kauert, Lucas Dammert, Michael Grömer, Martin Pfennigbauer, and Gottfried Mandlburger
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-W10-2025, 239–246, https://doi.org/10.5194/isprs-archives-XLVIII-2-W10-2025-239-2025, https://doi.org/10.5194/isprs-archives-XLVIII-2-W10-2025-239-2025, 2025
Katharina Riederer, David Simböck, and Gottfried Mandlburger
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-W10-2025, 247–254, https://doi.org/10.5194/isprs-archives-XLVIII-2-W10-2025-247-2025, https://doi.org/10.5194/isprs-archives-XLVIII-2-W10-2025-247-2025, 2025
Frederik Schulte, Markus Brezovsky, Anatol Günthner, Boris Jutzi, Gottfried Mandlburger, and Lukas Winiwarter
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-W10-2025, 271–278, https://doi.org/10.5194/isprs-archives-XLVIII-2-W10-2025-271-2025, https://doi.org/10.5194/isprs-archives-XLVIII-2-W10-2025-271-2025, 2025
Frank Liebold and Hans-Gerd Maas
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-W7-2024, 65–72, https://doi.org/10.5194/isprs-archives-XLVIII-2-W7-2024-65-2024, https://doi.org/10.5194/isprs-archives-XLVIII-2-W7-2024-65-2024, 2024
Reuma Arav, Camillo Ressl, Robert Weiss, Thomas Artz, and Gottfried Mandlburger
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-2024, 9–16, https://doi.org/10.5194/isprs-archives-XLVIII-2-2024-9-2024, https://doi.org/10.5194/isprs-archives-XLVIII-2-2024-9-2024, 2024
Anne Bienert, Katja Richter, Sophia Boehme, and Hans-Gerd Maas
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-2024, 33–40, https://doi.org/10.5194/isprs-archives-XLVIII-2-2024-33-2024, https://doi.org/10.5194/isprs-archives-XLVIII-2-2024-33-2024, 2024
Michael Grömer, Erica Nocerino, Alessio Calantropio, Fabio Menna, Ansgar Dreier, Lukas Winiwarter, and Gottfried Mandlburger
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-2024, 115–120, https://doi.org/10.5194/isprs-archives-XLVIII-2-2024-115-2024, https://doi.org/10.5194/isprs-archives-XLVIII-2-2024-115-2024, 2024
Christian Mulsow, Hannes Sardemann, Laure-Anne Gueguen, Gottfried Mandelburger, and Hans-Gerd Maas
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-2024, 289–295, https://doi.org/10.5194/isprs-archives-XLVIII-2-2024-289-2024, https://doi.org/10.5194/isprs-archives-XLVIII-2-2024-289-2024, 2024
Katja Richter, David Mader, Hannes Sardemann, and Hans-Gerd Maas
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-2024, 341–348, https://doi.org/10.5194/isprs-archives-XLVIII-2-2024-341-2024, https://doi.org/10.5194/isprs-archives-XLVIII-2-2024-341-2024, 2024
Hannes Sardemann, Christian Mulsow, Laure-Anne Gueguen, Gottfried Mandlburger, and Hans-Gerd Maas
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-2024, 363–369, https://doi.org/10.5194/isprs-archives-XLVIII-2-2024-363-2024, https://doi.org/10.5194/isprs-archives-XLVIII-2-2024-363-2024, 2024
Robert Blaskow and Hans-Gerd Maas
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-2-2024, 9–16, https://doi.org/10.5194/isprs-annals-X-2-2024-9-2024, https://doi.org/10.5194/isprs-annals-X-2-2024-9-2024, 2024
Alessio Calantropio, Fabio Menna, Dimitrios Skarlatos, Caterina Balletti, Gottfried Mandlburger, Panagiotis Agrafiotis, Filiberto Chiabrando, Andrea Maria Lingua, Alessia Giaquinto, and Erica Nocerino
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-2-2024, 33–40, https://doi.org/10.5194/isprs-annals-X-2-2024-33-2024, https://doi.org/10.5194/isprs-annals-X-2-2024-33-2024, 2024
Melanie Elias, Steffen Isfort, Anette Eltner, and Hans-Gerd Maas
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-2-2024, 57–64, https://doi.org/10.5194/isprs-annals-X-2-2024-57-2024, https://doi.org/10.5194/isprs-annals-X-2-2024-57-2024, 2024
Steffen Isfort, Melanie Elias, and Hans-Gerd Maas
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-2-2024, 113–120, https://doi.org/10.5194/isprs-annals-X-2-2024-113-2024, https://doi.org/10.5194/isprs-annals-X-2-2024-113-2024, 2024
F. Wagner and H.-G. Maas
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W2-2023, 1667–1676, https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-1667-2023, https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-1667-2023, 2023
G. Mandlburger, M. Pfennigbauer, R. Schwarz, and F. Pöppl
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-1-W1-2023, 1123–1130, https://doi.org/10.5194/isprs-annals-X-1-W1-2023-1123-2023, https://doi.org/10.5194/isprs-annals-X-1-W1-2023-1123-2023, 2023
G. Mandlburger, M. Kölle, F. Pöppl, and M. Cramer
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W3-2023, 99–106, https://doi.org/10.5194/isprs-archives-XLVIII-1-W3-2023-99-2023, https://doi.org/10.5194/isprs-archives-XLVIII-1-W3-2023-99-2023, 2023
F. Pöppl, G. Mandlburger, and N. Pfeifer
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W3-2023, 161–166, https://doi.org/10.5194/isprs-archives-XLVIII-1-W3-2023-161-2023, https://doi.org/10.5194/isprs-archives-XLVIII-1-W3-2023-161-2023, 2023
F. Liebold and H.-G. Maas
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-W2-2022, 61–68, https://doi.org/10.5194/isprs-archives-XLVIII-2-W2-2022-61-2022, https://doi.org/10.5194/isprs-archives-XLVIII-2-W2-2022-61-2022, 2022
S. Isfort, F. Maiwald, C. Mulsow, and H.-G. Maas
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2022, 113–119, https://doi.org/10.5194/isprs-archives-XLIII-B1-2022-113-2022, https://doi.org/10.5194/isprs-archives-XLIII-B1-2022-113-2022, 2022
M. Jarzabek-Rychard and H.-G. Maas
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2022, 395–400, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-395-2022, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-395-2022, 2022
F. Maiwald and H. Sardemann
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2022, 823–829, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-823-2022, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-823-2022, 2022
K. Richter, D. Mader, P. Westfeld, and H.-G. Maas
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2022, 945–951, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-945-2022, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-945-2022, 2022
M. Jarząbek-Rychard and H-G. Maas
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., VIII-5-W1-2022, 1–7, https://doi.org/10.5194/isprs-annals-VIII-5-W1-2022-1-2022, https://doi.org/10.5194/isprs-annals-VIII-5-W1-2022-1-2022, 2022
F. Liebold, R. Lorenzoni, I. Curosu, F. Léonard, V. Mechtcherine, S. Paciornik, and H.-G. Maas
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2021, 533–539, https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-533-2021, https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-533-2021, 2021
K. Richter, D. Mader, P. Westfeld, and H.-G. Maas
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2021, 681–688, https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-681-2021, https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-681-2021, 2021
H. Sardemann, C. Mulsow, and H.-G. Maas
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2021, 689–692, https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-689-2021, https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-689-2021, 2021
J. Otepka, G. Mandlburger, W. Karel, B. Wöhrer, C. Ressl, and N. Pfeifer
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2021, 35–42, https://doi.org/10.5194/isprs-annals-V-2-2021-35-2021, https://doi.org/10.5194/isprs-annals-V-2-2021-35-2021, 2021
E. Johnson, D. Floricioiu, E. Schwalbe, R. Koschitzki, H.-G. Maas, C. Cardenas, and G. Casassa
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-3-W2-2020, 125–127, https://doi.org/10.5194/isprs-annals-IV-3-W2-2020-125-2020, https://doi.org/10.5194/isprs-annals-IV-3-W2-2020-125-2020, 2020
E. Schwalbe, R. Koschitzki, E. Johnson, D. F. Mojica Moncada, B. Schröter, C. Cardenas, G. Casassa, and H.-G. Maas
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-3-W2-2020, 129–131, https://doi.org/10.5194/isprs-annals-IV-3-W2-2020-129-2020, https://doi.org/10.5194/isprs-annals-IV-3-W2-2020-129-2020, 2020
J. Otepka, G. Mandlburger, M. Schütz, N. Pfeifer, and M. Wimmer
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2020, 293–300, https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-293-2020, https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-293-2020, 2020
G. Mandlburger, R. Weiß, and T. Artz
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2020, 57–64, https://doi.org/10.5194/isprs-archives-XLIII-B1-2020-57-2020, https://doi.org/10.5194/isprs-archives-XLIII-B1-2020-57-2020, 2020
M. Elias and H.-G. Maas
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-1-2020, 181–187, https://doi.org/10.5194/isprs-annals-V-1-2020-181-2020, https://doi.org/10.5194/isprs-annals-V-1-2020-181-2020, 2020
C. Mulsow, G. Mandlburger, and H.-G. Maas
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2020, 671–677, https://doi.org/10.5194/isprs-annals-V-2-2020-671-2020, https://doi.org/10.5194/isprs-annals-V-2-2020-671-2020, 2020
N. Haala, M. Kölle, M. Cramer, D. Laupheimer, G. Mandlburger, and P. Glira
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2020, 727–734, https://doi.org/10.5194/isprs-annals-V-2-2020-727-2020, https://doi.org/10.5194/isprs-annals-V-2-2020-727-2020, 2020
Anette Eltner, Hannes Sardemann, and Jens Grundmann
Hydrol. Earth Syst. Sci., 24, 1429–1445, https://doi.org/10.5194/hess-24-1429-2020, https://doi.org/10.5194/hess-24-1429-2020, 2020
Short summary
Short summary
An automatic workflow is introduced to measure surface flow velocities in rivers. The provided tool enables the measurement of spatially distributed surface flow velocities independently of the image acquisition perspective. Furthermore, the study illustrates how river discharge in previously ungauged and unmeasured regions can be retrieved, considering the image-based flow velocities and digital elevation models of the studied river reach reconstructed with UAV photogrammetry.
F. Liebold, H.-G. Maas, and A. A. Heravi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W18, 107–113, https://doi.org/10.5194/isprs-archives-XLII-2-W18-107-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W18-107-2019, 2019
T. Kaiser, C. Clemen, and H.-G. Maas
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-5-W2, 35–39, https://doi.org/10.5194/isprs-archives-XLII-5-W2-35-2019, https://doi.org/10.5194/isprs-archives-XLII-5-W2-35-2019, 2019
D. Mader, K. Richter, P. Westfeld, R. Weiß, and H.-G. Maas
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 1053–1059, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1053-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1053-2019, 2019
D. Lin, Z. Dong, X. Zhang, and H.-G. Maas
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W5, 45–51, https://doi.org/10.5194/isprs-annals-IV-2-W5-45-2019, https://doi.org/10.5194/isprs-annals-IV-2-W5-45-2019, 2019
G. Mandlburger, H. Lehner, and N. Pfeifer
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W5, 397–404, https://doi.org/10.5194/isprs-annals-IV-2-W5-397-2019, https://doi.org/10.5194/isprs-annals-IV-2-W5-397-2019, 2019
S. C. L. Ribeiro, M. Jarzabek-Rychard, J. P. Cintra, and H.-G. Maas
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W5, 437–444, https://doi.org/10.5194/isprs-annals-IV-2-W5-437-2019, https://doi.org/10.5194/isprs-annals-IV-2-W5-437-2019, 2019
P. Glira, N. Pfeifer, and G. Mandlburger
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W5, 567–574, https://doi.org/10.5194/isprs-annals-IV-2-W5-567-2019, https://doi.org/10.5194/isprs-annals-IV-2-W5-567-2019, 2019
H.-G. Maas, D. Mader, K. Richter, and P. Westfeld
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W10, 113–117, https://doi.org/10.5194/isprs-archives-XLII-2-W10-113-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W10-113-2019, 2019
G. Mandlburger and B. Jutzi
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-1, 109–116, https://doi.org/10.5194/isprs-annals-IV-1-109-2018, https://doi.org/10.5194/isprs-annals-IV-1-109-2018, 2018
M. Cramer, N. Haala, D. Laupheimer, G. Mandlburger, and P. Havel
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-1, 115–120, https://doi.org/10.5194/isprs-archives-XLII-1-115-2018, https://doi.org/10.5194/isprs-archives-XLII-1-115-2018, 2018
G. Mandlburger, J. Kremer, F. Steinbacher, and R. Baran
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-1, 275–282, https://doi.org/10.5194/isprs-archives-XLII-1-275-2018, https://doi.org/10.5194/isprs-archives-XLII-1-275-2018, 2018
M. Kröhnert, R. Anderson, J. Bumberger, P. Dietrich, W. S. Harpole, and H.-G. Maas
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 539–542, https://doi.org/10.5194/isprs-archives-XLII-2-539-2018, https://doi.org/10.5194/isprs-archives-XLII-2-539-2018, 2018
D. Lin, M. Jarzabek-Rychard, D. Schneider, and H.-G. Maas
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 585–591, https://doi.org/10.5194/isprs-archives-XLII-2-585-2018, https://doi.org/10.5194/isprs-archives-XLII-2-585-2018, 2018
G. Mandlburger
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 659–666, https://doi.org/10.5194/isprs-archives-XLII-2-659-2018, https://doi.org/10.5194/isprs-archives-XLII-2-659-2018, 2018
C. Mulsow, R. Kenner, Y. Bühler, A. Stoffel, and H.-G. Maas
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 739–744, https://doi.org/10.5194/isprs-archives-XLII-2-739-2018, https://doi.org/10.5194/isprs-archives-XLII-2-739-2018, 2018
K. Richter, D. Mader, P. Westfeld, and H.-G. Maas
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 961–967, https://doi.org/10.5194/isprs-archives-XLII-2-961-2018, https://doi.org/10.5194/isprs-archives-XLII-2-961-2018, 2018
H. Sardemann, A. Eltner, and H.-G. Maas
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 1023–1027, https://doi.org/10.5194/isprs-archives-XLII-2-1023-2018, https://doi.org/10.5194/isprs-archives-XLII-2-1023-2018, 2018
E. Watson, H.-G. Maas, F. Schäfer, and S. Hiermaier
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 1175–1181, https://doi.org/10.5194/isprs-archives-XLII-2-1175-2018, https://doi.org/10.5194/isprs-archives-XLII-2-1175-2018, 2018
F. Liebold and H.-G. Maas
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2, 193–200, https://doi.org/10.5194/isprs-annals-IV-2-193-2018, https://doi.org/10.5194/isprs-annals-IV-2-193-2018, 2018
D. Lin, A. Eltner, H. Sardemann, and H.-G. Maas
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2, 201–208, https://doi.org/10.5194/isprs-annals-IV-2-201-2018, https://doi.org/10.5194/isprs-annals-IV-2-201-2018, 2018
Ellen Schwalbe and Hans-Gerd Maas
Earth Surf. Dynam., 5, 861–879, https://doi.org/10.5194/esurf-5-861-2017, https://doi.org/10.5194/esurf-5-861-2017, 2017
Short summary
Short summary
The simple use of time-lapse cameras as a visual observation tool may already be a great help for environmental investigations. However, beyond that, they have the potential to also deliver precise measurements with high temporal and spatial resolution when applying appropriate processing techniques. In this paper we introduce a method for the determination of glacier motion fields from time-lapse images, but it might also be adapted for other environmental motion analysis tasks.
G. Mandlburger, N. Pfeifer, and U. Soergel
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W4, 123–130, https://doi.org/10.5194/isprs-annals-IV-2-W4-123-2017, https://doi.org/10.5194/isprs-annals-IV-2-W4-123-2017, 2017
G. Mandlburger, K. Wenzel, A. Spitzer, N. Haala, P. Glira, and N. Pfeifer
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W4, 259–266, https://doi.org/10.5194/isprs-annals-IV-2-W4-259-2017, https://doi.org/10.5194/isprs-annals-IV-2-W4-259-2017, 2017
C. Mulsow, H.-G. Maas, and B. Hentschel
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B5, 85–91, https://doi.org/10.5194/isprs-archives-XLI-B5-85-2016, https://doi.org/10.5194/isprs-archives-XLI-B5-85-2016, 2016
G. Mandlburger, M. Pfennigbauer, M. Wieser, U. Riegl, and N. Pfeifer
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B1, 933–939, https://doi.org/10.5194/isprs-archives-XLI-B1-933-2016, https://doi.org/10.5194/isprs-archives-XLI-B1-933-2016, 2016
The International Society for Photogrammetry and Remote Sensing is a non-governmental organization devoted to the development of international cooperation for the advancement of photogrammetry and remote sensing and their applications. The Society operates without any discrimination on grounds of race, religion, nationality, or political philosophy.
Useful Links
Useful External Links
Our Contact
c/o
Leibniz University Hannover
Institute of Photogrammetry and GeoInformation
Nienburger Str. 1
D-30167 Hannover
GERMANY
Email: isprs-sg@isprs.org