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ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume V-3-2022
https://doi.org/10.5194/isprs-annals-V-3-2022-697-2022
© Author(s) 2022. 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-annals-V-3-2022-697-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
17 May 2022
| 17 May 2022
A VOXEL-BASED METHOD FOR THE THREE-DIMENSIONAL MODELLING OF HEATHLAND FROM LIDAR POINT CLOUDS: FIRST RESULTS
N. Homainejad
University of New South Wales, Faculty of Built Environment, High St Kensington, NSW, Australia
S. Zlatanova
University of New South Wales, Faculty of Built Environment, High St Kensington, NSW, Australia
N. Pfeifer
Department of Geodesy and Geoinformation, Technische Universität Wien, Vienna, Austria
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J. Otepka, G. Mandlburger, M. Schütz, N. Pfeifer, and M. Wimmer
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ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2020, 525–532, https://doi.org/10.5194/isprs-annals-V-2-2020-525-2020, https://doi.org/10.5194/isprs-annals-V-2-2020-525-2020, 2020
S. Flöry, C. Ressl, M. Hollaus, G. Pürcher, L. Piermattei, and N. Pfeifer
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2020, 695–701, https://doi.org/10.5194/isprs-annals-V-2-2020-695-2020, https://doi.org/10.5194/isprs-annals-V-2-2020-695-2020, 2020
S. Zlatanova, S. Dragicevic, and G. Sithole
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-4-2020, 7–9, https://doi.org/10.5194/isprs-annals-V-4-2020-7-2020, https://doi.org/10.5194/isprs-annals-V-4-2020-7-2020, 2020
W. Li, S. Zlatanova, J. J. Yan, A. Diakite, and M. Aleksandrov
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ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4-W9, 1–2, https://doi.org/10.5194/isprs-annals-IV-4-W9-1-2019, https://doi.org/10.5194/isprs-annals-IV-4-W9-1-2019, 2019
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Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4-W17, 1–2, https://doi.org/10.5194/isprs-archives-XLII-4-W17-1-2019, https://doi.org/10.5194/isprs-archives-XLII-4-W17-1-2019, 2019
M. Aleksandrov, S. Zlatanova, L. Kimmel, J. Barton, and B. Gorte
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4-W8, 11–17, https://doi.org/10.5194/isprs-annals-IV-4-W8-11-2019, https://doi.org/10.5194/isprs-annals-IV-4-W8-11-2019, 2019
J. Yan, S. Zlatanova, M. Aleksandrov, A. A. Diakite, and C. Pettit
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4-W8, 147–154, https://doi.org/10.5194/isprs-annals-IV-4-W8-147-2019, https://doi.org/10.5194/isprs-annals-IV-4-W8-147-2019, 2019
N. Li and N. Pfeifer
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 1033–1037, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1033-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1033-2019, 2019
A. Walicka, N. Pfeifer, G. Jóźków, and A. Borkowski
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 1149–1154, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1149-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1149-2019, 2019
J. Na, X. Yang, X. Fang, G. Tang, and N. Pfeifer
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 469–473, https://doi.org/10.5194/isprs-archives-XLII-2-W13-469-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W13-469-2019, 2019
B. Gorte, S. Zlatanova, and F. Fadli
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W5, 279–283, https://doi.org/10.5194/isprs-annals-IV-2-W5-279-2019, https://doi.org/10.5194/isprs-annals-IV-2-W5-279-2019, 2019
S. Nikoohemat, A. Diakité, S. Zlatanova, and G. Vosselman
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W5, 285–292, https://doi.org/10.5194/isprs-annals-IV-2-W5-285-2019, https://doi.org/10.5194/isprs-annals-IV-2-W5-285-2019, 2019
M. Bruggisser, M. Hollaus, D. Kükenbrink, and N. Pfeifer
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W5, 325–332, https://doi.org/10.5194/isprs-annals-IV-2-W5-325-2019, https://doi.org/10.5194/isprs-annals-IV-2-W5-325-2019, 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
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
C. Ellul, V. Coors, S. Zlatanova, R. Laurini, and M. Rumor
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4-W7, 1–2, https://doi.org/10.5194/isprs-annals-IV-4-W7-1-2018, https://doi.org/10.5194/isprs-annals-IV-4-W7-1-2018, 2018
X. den Duijn, G. Agugiaro, and S. Zlatanova
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4-W7, 43–50, https://doi.org/10.5194/isprs-annals-IV-4-W7-43-2018, https://doi.org/10.5194/isprs-annals-IV-4-W7-43-2018, 2018
C. Ellul, V. Coors, S. Zlatanova, R. Laurini, and M. Rumor
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4-W11, 1–2, https://doi.org/10.5194/isprs-archives-XLII-4-W11-1-2018, https://doi.org/10.5194/isprs-archives-XLII-4-W11-1-2018, 2018
S. Zlatanova, S. Dragicevic, and G. Sithole
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4, 1–3, https://doi.org/10.5194/isprs-annals-IV-4-1-2018, https://doi.org/10.5194/isprs-annals-IV-4-1-2018, 2018
T. Ghawana, M. Aleksandrov, and S. Zlatanova
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4, 49–57, https://doi.org/10.5194/isprs-annals-IV-4-49-2018, https://doi.org/10.5194/isprs-annals-IV-4-49-2018, 2018
J. Yan, A. A. Diakité, and S. Zlatanova
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4, 247–254, https://doi.org/10.5194/isprs-annals-IV-4-247-2018, https://doi.org/10.5194/isprs-annals-IV-4-247-2018, 2018
S. Zlatanova, S. Dragicevic, and G. Sithole
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4, 1–3, https://doi.org/10.5194/isprs-archives-XLII-4-1-2018, https://doi.org/10.5194/isprs-archives-XLII-4-1-2018, 2018
A. Alattas, P. van Oosterom, S. Zlatanova, D. Hoeneveld, and E. Verbree
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4, 11–23, https://doi.org/10.5194/isprs-archives-XLII-4-11-2018, https://doi.org/10.5194/isprs-archives-XLII-4-11-2018, 2018
L. Díaz-Vilariño, L. González-deSantos, E. Verbree, G. Michailidou, and S. Zlatanova
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4, 149–154, https://doi.org/10.5194/isprs-archives-XLII-4-149-2018, https://doi.org/10.5194/isprs-archives-XLII-4-149-2018, 2018
F. Fadli, N. Kutty, Z. Wang, S. Zlatanova, L. Mahdjoubi, P. Boguslawski, and V. Zverovich
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4, 161–168, https://doi.org/10.5194/isprs-archives-XLII-4-161-2018, https://doi.org/10.5194/isprs-archives-XLII-4-161-2018, 2018
L. Liu, B. Li, S. Zlatanova, and H. Liu
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4, 373–378, https://doi.org/10.5194/isprs-archives-XLII-4-373-2018, https://doi.org/10.5194/isprs-archives-XLII-4-373-2018, 2018
N. Li, N. Pfeifer, and C. Liu
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W4, 107–114, https://doi.org/10.5194/isprs-annals-IV-2-W4-107-2017, https://doi.org/10.5194/isprs-annals-IV-2-W4-107-2017, 2017
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
A. Roncat, N. Pfeifer, and C. Briese
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W4, 131–137, https://doi.org/10.5194/isprs-annals-IV-2-W4-131-2017, https://doi.org/10.5194/isprs-annals-IV-2-W4-131-2017, 2017
D. Wang, M. Hollaus, and N. Pfeifer
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W4, 157–164, https://doi.org/10.5194/isprs-annals-IV-2-W4-157-2017, https://doi.org/10.5194/isprs-annals-IV-2-W4-157-2017, 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
M. Pöchtrager, G. Styhler-Aydın, M. Döring-Williams, and N. Pfeifer
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W2, 195–202, https://doi.org/10.5194/isprs-annals-IV-2-W2-195-2017, https://doi.org/10.5194/isprs-annals-IV-2-W2-195-2017, 2017
A. Zlinszky, B. Deák, A. Kania, A. Schroiff, and N. Pfeifer
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B8, 1293–1299, https://doi.org/10.5194/isprs-archives-XLI-B8-1293-2016, https://doi.org/10.5194/isprs-archives-XLI-B8-1293-2016, 2016
Livia Piermattei, Luca Carturan, Fabrizio de Blasi, Paolo Tarolli, Giancarlo Dalla Fontana, Antonio Vettore, and Norbert Pfeifer
Earth Surf. Dynam., 4, 425–443, https://doi.org/10.5194/esurf-4-425-2016, https://doi.org/10.5194/esurf-4-425-2016, 2016
Short summary
Short summary
We investigated the applicability of the SfM–MVS approach for calculating the geodetic mass balance of a glacier and for the detection of the surface displacement rate of an active rock glacier located in the eastern Italian Alps. The results demonstrate that it is possible to reliably quantify the investigated glacial and periglacial processes by means of a quick ground-based photogrammetric survey that was conducted using a consumer grade SRL camera and natural targets as ground control points.
Mathias Harzhauser, Ana Djuricic, Oleg Mandic, Thomas A. Neubauer, Martin Zuschin, and Norbert Pfeifer
Biogeosciences, 13, 1223–1235, https://doi.org/10.5194/bg-13-1223-2016, https://doi.org/10.5194/bg-13-1223-2016, 2016
Short summary
Short summary
We present the first analysis of population structure and cohort distribution in a fossil oyster reef. Data are derived from Terrestrial Laser Scanning of a Miocene shell bed covering 459 m². A growth model was calculated, revealing this species as the giant oyster Crassostrea gryphoides was the fastest growing oyster known so far. The shell half-lives range around few years, indicating that oyster reefs were geologically short-lived structures, which were degraded on a decadal scale.
A. Zlinszky, G. Timár, R. Weber, B. Székely, C. Briese, C. Ressl, and N. Pfeifer
Solid Earth, 5, 355–369, https://doi.org/10.5194/se-5-355-2014, https://doi.org/10.5194/se-5-355-2014, 2014
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.
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