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ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume IV-2
https://doi.org/10.5194/isprs-annals-IV-2-81-2018
© Author(s) 2018. 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-IV-2-81-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
28 May 2018
| 28 May 2018
INTERACTIVE CADASTRAL BOUNDARY DELINEATION FROM UAV DATA
S. Crommelinck
Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Enschede, the Netherlands
GIScience Research Group, Institute of Geography, Heidelberg University, Germany
Heidelberg Center for the Environment (HCE), Heidelberg University, Germany
Interdisciplinary Center for Scientific Computing (IWR), Heidelberg University, Germany
M. N. Koeva
Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Enschede, the Netherlands
M. Y. Yang
Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Enschede, the Netherlands
G. Vosselman
Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Enschede, the Netherlands
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C. Mallet, F. Lafarge, M. Poreba, T. Wu, G. Bahl, M. Yu, A. Garioud, Y. Chen, S. Jiang, M. Y. Yang, and N. Paparoditis
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C. Mallet, F. Lafarge, M. Poreba, T. Wu, G. Bahl, M. Yu, A. Garioud, Y. Chen, S. Jiang, M. Y. Yang, and N. Paparoditis
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-5-2021, 1–5, https://doi.org/10.5194/isprs-annals-V-5-2021-1-2021, https://doi.org/10.5194/isprs-annals-V-5-2021-1-2021, 2021
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Earth Surf. Dynam., 9, 19–28, https://doi.org/10.5194/esurf-9-19-2021, https://doi.org/10.5194/esurf-9-19-2021, 2021
Short summary
Short summary
In this work, we use 3D point clouds to detect topographic changes across the surface of a rock glacier. These changes are presented as the relative contribution of surface change during a 3-week period to the annual surface change. By comparing these different time periods and looking at change in different directions, we provide estimates showing that different directions of surface change are dominant at different times of the year. This demonstrates the benefit of frequent monitoring.
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Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 13–20, https://doi.org/10.5194/isprs-archives-XLII-2-W13-13-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W13-13-2019, 2019
S. Huang, F. Nex, Y. Lin, and M. Y. Yang
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 35–42, https://doi.org/10.5194/isprs-archives-XLII-2-W13-35-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W13-35-2019, 2019
C. Stöcker, F. Nex, M. Koeva, and M. Gerke
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 613–617, https://doi.org/10.5194/isprs-archives-XLII-2-W13-613-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W13-613-2019, 2019
G. Vosselman, S. J. Oude Elberink, and M. Y. Yang
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W5, 1–1, https://doi.org/10.5194/isprs-annals-IV-2-W5-1-2019, https://doi.org/10.5194/isprs-annals-IV-2-W5-1-2019, 2019
D. Duarte, F. Nex, N. Kerle, and G. Vosselman
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W5, 29–36, https://doi.org/10.5194/isprs-annals-IV-2-W5-29-2019, https://doi.org/10.5194/isprs-annals-IV-2-W5-29-2019, 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
K. Anders, R. C. Lindenbergh, S. E. Vos, H. Mara, S. de Vries, and B. Höfle
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W5, 317–324, https://doi.org/10.5194/isprs-annals-IV-2-W5-317-2019, https://doi.org/10.5194/isprs-annals-IV-2-W5-317-2019, 2019
A. Kumar, K. Anders, L Winiwarter, and B. Höfle
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W5, 373–380, https://doi.org/10.5194/isprs-annals-IV-2-W5-373-2019, https://doi.org/10.5194/isprs-annals-IV-2-W5-373-2019, 2019
Z. Zhang, G. Vosselman, M. Gerke, C. Persello, D. Tuia, and M. Y. Yang
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W5, 453–460, https://doi.org/10.5194/isprs-annals-IV-2-W5-453-2019, https://doi.org/10.5194/isprs-annals-IV-2-W5-453-2019, 2019
G. Agugiaro, M. Koeva, T. Wei, and F. Biljecki
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W5, 501–501, https://doi.org/10.5194/isprs-annals-IV-2-W5-501-2019, https://doi.org/10.5194/isprs-annals-IV-2-W5-501-2019, 2019
C. Mallet, I. Dowman, G. Vosselman, U. Stilla, L. Halounova, and N. Paparoditis
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-5, 53–58, https://doi.org/10.5194/isprs-annals-IV-5-53-2018, https://doi.org/10.5194/isprs-annals-IV-5-53-2018, 2018
S. Karam, M. Peter, S. Hosseinyalamdary, and G. Vosselman
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-1, 85–92, https://doi.org/10.5194/isprs-annals-IV-1-85-2018, https://doi.org/10.5194/isprs-annals-IV-1-85-2018, 2018
Z. Hussnain, S. Oude Elberink, and G. Vosselman
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-1, 203–209, https://doi.org/10.5194/isprs-archives-XLII-1-203-2018, https://doi.org/10.5194/isprs-archives-XLII-1-203-2018, 2018
S. Nikoohemat, M. Koeva, S. J. Oude Elberink, and C. H. J. Lemmen
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4, 451–457, https://doi.org/10.5194/isprs-archives-XLII-4-451-2018, https://doi.org/10.5194/isprs-archives-XLII-4-451-2018, 2018
K. Arroyo Ohori, A. Labetski, G. Agugiaro, M. Koeva, and J. Stoter
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4-W6, 1–1, https://doi.org/10.5194/isprs-annals-IV-4-W6-1-2018, https://doi.org/10.5194/isprs-annals-IV-4-W6-1-2018, 2018
K. Arroyo Ohori, A. Labetski, G. Agugiaro, M. Koeva, and J. Stoter
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4-W10, 1–1, https://doi.org/10.5194/isprs-archives-XLII-4-W10-1-2018, https://doi.org/10.5194/isprs-archives-XLII-4-W10-1-2018, 2018
P. Jende, F. Nex, M. Gerke, and G. Vosselman
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 471–477, https://doi.org/10.5194/isprs-archives-XLII-2-471-2018, https://doi.org/10.5194/isprs-archives-XLII-2-471-2018, 2018
S. Makuti, F. Nex, and M. Y. Yang
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 651–658, https://doi.org/10.5194/isprs-archives-XLII-2-651-2018, https://doi.org/10.5194/isprs-archives-XLII-2-651-2018, 2018
D. Duarte, F. Nex, N. Kerle, and G. Vosselman
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2, 89–96, https://doi.org/10.5194/isprs-annals-IV-2-89-2018, https://doi.org/10.5194/isprs-annals-IV-2-89-2018, 2018
F. Li, M. Lehtomäki, S. Oude Elberink, G. Vosselman, E. Puttonen, A. Kukko, and J. Hyyppä
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2, 185–192, https://doi.org/10.5194/isprs-annals-IV-2-185-2018, https://doi.org/10.5194/isprs-annals-IV-2-185-2018, 2018
Y. Lin, F. Nex, and M. Y. Yang
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2, 209–216, https://doi.org/10.5194/isprs-annals-IV-2-209-2018, https://doi.org/10.5194/isprs-annals-IV-2-209-2018, 2018
Z. Zhang, M. Gerke, G. Vosselman, and M. Y. Yang
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2, 319–326, https://doi.org/10.5194/isprs-annals-IV-2-319-2018, https://doi.org/10.5194/isprs-annals-IV-2-319-2018, 2018
M. Scaioni, B. Höfle, A. P. Baungarten Kersting, L. Barazzetti, M. Previtali, and D. Wujanz
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3, 1503–1510, https://doi.org/10.5194/isprs-archives-XLII-3-1503-2018, https://doi.org/10.5194/isprs-archives-XLII-3-1503-2018, 2018
S. Nikoohemat, M. Peter, S. Oude Elberink, and G. Vosselman
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W4, 355–362, https://doi.org/10.5194/isprs-annals-IV-2-W4-355-2017, https://doi.org/10.5194/isprs-annals-IV-2-W4-355-2017, 2017
M. Peter, S. R. U. N. Jafri, and G. Vosselman
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W4, 363–369, https://doi.org/10.5194/isprs-annals-IV-2-W4-363-2017, https://doi.org/10.5194/isprs-annals-IV-2-W4-363-2017, 2017
K. Velumani, S. Oude Elberink, M. Y. Yang, and F. Baret
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W4, 149–156, https://doi.org/10.5194/isprs-annals-IV-2-W4-149-2017, https://doi.org/10.5194/isprs-annals-IV-2-W4-149-2017, 2017
T. Zhang, G. Vosselman, and S. J. Oude Elberink
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W4, 193–198, https://doi.org/10.5194/isprs-annals-IV-2-W4-193-2017, https://doi.org/10.5194/isprs-annals-IV-2-W4-193-2017, 2017
M. Koeva, R. Bennett, M. Gerke, S. Crommelinck, C. Stöcker, J. Crompvoets, S. Ho, A. Schwering, M. Chipofya, C. Schultz, T. Zein, M. Biraro, B. Alemie, R. Wayumba, and K. Kundert
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W7, 37–43, https://doi.org/10.5194/isprs-archives-XLII-2-W7-37-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W7-37-2017, 2017
M. Hämmerle, N. Lukač, K.-C. Chen, Zs. Koma, C.-K. Wang, K. Anders, and B. Höfle
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W4, 59–65, https://doi.org/10.5194/isprs-annals-IV-2-W4-59-2017, https://doi.org/10.5194/isprs-annals-IV-2-W4-59-2017, 2017
F. Li, S. Oude Elberink, and G. Vosselman
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W7, 247–254, https://doi.org/10.5194/isprs-archives-XLII-2-W7-247-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W7-247-2017, 2017
C. Stöcker, F. Nex, M. Koeva, and M. Gerke
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W6, 355–361, https://doi.org/10.5194/isprs-archives-XLII-2-W6-355-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W6-355-2017, 2017
D. Duarte, F. Nex, N. Kerle, and G. Vosselman
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W6, 93–100, https://doi.org/10.5194/isprs-archives-XLII-2-W6-93-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W6-93-2017, 2017
S. Crommelinck, R. Bennett, M. Gerke, M. N. Koeva, M. Y. Yang, and G. Vosselman
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W3, 9–16, https://doi.org/10.5194/isprs-annals-IV-2-W3-9-2017, https://doi.org/10.5194/isprs-annals-IV-2-W3-9-2017, 2017
Sabrina Marx, Katharina Anders, Sofia Antonova, Inga Beck, Julia Boike, Philip Marsh, Moritz Langer, and Bernhard Höfle
Earth Surf. Dynam. Discuss., https://doi.org/10.5194/esurf-2017-49, https://doi.org/10.5194/esurf-2017-49, 2017
Revised manuscript has not been submitted
Short summary
Short summary
Global climate warming causes permafrost to warm and thaw, and, consequently, to release the carbon into the atmosphere. Terrestrial laser scanning is evaluated and current methods are extended in the context of monitoring subsidence in Arctic permafrost regions. The extracted information is important to gain a deeper understanding of permafrost-related subsidence processes and provides highly accurate ground-truth data which is necessary for further developing area-wide monitoring methods.
Luisa Griesbaum, Sabrina Marx, and Bernhard Höfle
Nat. Hazards Earth Syst. Sci., 17, 1191–1201, https://doi.org/10.5194/nhess-17-1191-2017, https://doi.org/10.5194/nhess-17-1191-2017, 2017
Short summary
Short summary
This study provides a new method for flood documentation based on user-generated flood images. We demonstrate how flood elevation and building inundation depth can be derived from photographs by means of 3-D reconstruction of the scene. With an accuracy of 0.13 m ± 0.10 m, the derived building inundation depth can be used to facilitate damage assessment.
P. Jende, F. Nex, M. Gerke, and G. Vosselman
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-1-W1, 317–323, https://doi.org/10.5194/isprs-archives-XLII-1-W1-317-2017, https://doi.org/10.5194/isprs-archives-XLII-1-W1-317-2017, 2017
W. Liao, C. Yang, M. Ying Yang, and B. Rosenhahn
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-1-W1, 19–26, https://doi.org/10.5194/isprs-annals-IV-1-W1-19-2017, https://doi.org/10.5194/isprs-annals-IV-1-W1-19-2017, 2017
M. N. Koeva
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B5, 297–303, https://doi.org/10.5194/isprs-archives-XLI-B5-297-2016, https://doi.org/10.5194/isprs-archives-XLI-B5-297-2016, 2016
S. Bechtold and B. Höfle
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., III-3, 161–168, https://doi.org/10.5194/isprs-annals-III-3-161-2016, https://doi.org/10.5194/isprs-annals-III-3-161-2016, 2016
P. Jende, Z. Hussnain, M. Peter, S. Oude Elberink, M. Gerke, and G. Vosselman
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-3-W4, 19–26, https://doi.org/10.5194/isprs-archives-XL-3-W4-19-2016, https://doi.org/10.5194/isprs-archives-XL-3-W4-19-2016, 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.
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