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ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume IV-2/W3
https://doi.org/10.5194/isprs-annals-IV-2-W3-9-2017
© Author(s) 2017. 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-W3-9-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
18 Aug 2017
| 18 Aug 2017
SLIC SUPERPIXELS FOR OBJECT DELINEATION FROM UAV DATA
S. Crommelinck
Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Enschede, the Netherlands
R. Bennett
Faculty of Business and Law, Swinburne University of Technology, Victoria, Australia
M. Gerke
Institute of Geodesy und Photogrammetry, Technical University of Brunswick, Brunswick, 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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Short summary
Short summary
This study presents insights into the remote cryosphere of a mountain range at the Tibetan Plateau. Small-scaled studies and field data about permafrost occurrence are very scarce. A multi-method approach (geomorphological mapping, geophysics, InSAR time series analysis) assesses the lower occurrence of permafrost the range of 5350 and 5500 m above sea level (a.s.l.) in the Qugaqie basin. The highest, multiannual creeping rates up to 150 mm/yr are observed on rock glaciers.
A. Y. Amiranti, M. N. Koeva, M. Kuffer, V. van Altena, and M. Post
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Y. Ying, M. N. Koeva, M. Kuffer, and J. A. Zevenbergen
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M. Maboudi, M. Gerke, N. Hack, L. Brohmann, P. Schwerdtner, and G. Placzek
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M.-O. Löwner, N. C. Bandelow, M. Gerke, F. Hillen, L. Klein, A. Schmidt, and T. Siefer
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S. Karam, V. Lehtola, and G. Vosselman
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ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-1-2020, 293–299, https://doi.org/10.5194/isprs-annals-V-1-2020-293-2020, https://doi.org/10.5194/isprs-annals-V-1-2020-293-2020, 2020
S. Briechle, P. Krzystek, and G. Vosselman
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2020, 203–210, https://doi.org/10.5194/isprs-annals-V-2-2020-203-2020, https://doi.org/10.5194/isprs-annals-V-2-2020-203-2020, 2020
Y. Lin, G. Vosselman, Y. Cao, and M. Y. Yang
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2020, 243–250, https://doi.org/10.5194/isprs-annals-V-2-2020-243-2020, https://doi.org/10.5194/isprs-annals-V-2-2020-243-2020, 2020
W. Liao, X. Chen, J. Yang, S. Roth, M. Goesele, M. Y. Yang, and B. Rosenhahn
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2020, 381–388, https://doi.org/10.5194/isprs-annals-V-2-2020-381-2020, https://doi.org/10.5194/isprs-annals-V-2-2020-381-2020, 2020
L. Madhuanand, F. Nex, and M. Y. Yang
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2020, 451–458, https://doi.org/10.5194/isprs-annals-V-2-2020-451-2020, https://doi.org/10.5194/isprs-annals-V-2-2020-451-2020, 2020
S. M. Tilon, F. Nex, D. Duarte, N. Kerle, and G. Vosselman
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2020, 573–582, https://doi.org/10.5194/isprs-annals-V-2-2020-573-2020, https://doi.org/10.5194/isprs-annals-V-2-2020-573-2020, 2020
N. Fiorentini, M. Maboudi, M. Losa, and M. Gerke
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-4-2020, 19–26, https://doi.org/10.5194/isprs-annals-V-4-2020-19-2020, https://doi.org/10.5194/isprs-annals-V-4-2020-19-2020, 2020
Eike Reinosch, Johannes Buckel, Jie Dong, Markus Gerke, Jussi Baade, and Björn Riedel
The Cryosphere, 14, 1633–1650, https://doi.org/10.5194/tc-14-1633-2020, https://doi.org/10.5194/tc-14-1633-2020, 2020
Short summary
Short summary
In this research we present the results of our satellite analysis of a permafrost landscape and periglacial landforms in mountainous regions on the Tibetan Plateau. We study seasonal and multiannual surface displacement processes, such as the freezing and thawing of the ground, seasonally accelerated sliding on steep slopes, and continuous permafrost creep. This study is the first step of our goal to create an inventory of actively moving landforms within the Nyainqêntanglha range.
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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
A. Alamouri and M. Gerke
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W5, 87–93, https://doi.org/10.5194/isprs-annals-IV-2-W5-87-2019, https://doi.org/10.5194/isprs-annals-IV-2-W5-87-2019, 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
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
N. H. Isya, W. Niemeier, and M. Gerke
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W5, 623–630, https://doi.org/10.5194/isprs-annals-IV-2-W5-623-2019, https://doi.org/10.5194/isprs-annals-IV-2-W5-623-2019, 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
M. Maboudi, D. Bánhidi, and M. Gerke
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 637–642, https://doi.org/10.5194/isprs-archives-XLII-2-637-2018, https://doi.org/10.5194/isprs-archives-XLII-2-637-2018, 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
S. Crommelinck, B. Höfle, M. N. Koeva, M. Y. Yang, and G. Vosselman
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2, 81–88, https://doi.org/10.5194/isprs-annals-IV-2-81-2018, https://doi.org/10.5194/isprs-annals-IV-2-81-2018, 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
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
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
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
M. Gerke, F. Nex, F. Remondino, K. Jacobsen, J. Kremer, W. Karel, H. Hu, and W. Ostrowski
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B1, 185–191, https://doi.org/10.5194/isprs-archives-XLI-B1-185-2016, https://doi.org/10.5194/isprs-archives-XLI-B1-185-2016, 2016
M. Gerke, F. Nex, and P. Jende
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-3-W4, 11–18, https://doi.org/10.5194/isprs-archives-XL-3-W4-11-2016, https://doi.org/10.5194/isprs-archives-XL-3-W4-11-2016, 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
K. Jacobsen and M. Gerke
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-3-W4, 35–40, https://doi.org/10.5194/isprs-archives-XL-3-W4-35-2016, https://doi.org/10.5194/isprs-archives-XL-3-W4-35-2016, 2016
T. Kraft, M. Geßner, H. Meißner, H. J. Przybilla, and M. Gerke
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-3-W4, 71–75, https://doi.org/10.5194/isprs-archives-XL-3-W4-71-2016, https://doi.org/10.5194/isprs-archives-XL-3-W4-71-2016, 2016
W. Kim, N. Kerle, and M. Gerke
Nat. Hazards Earth Syst. Sci., 16, 287–298, https://doi.org/10.5194/nhess-16-287-2016, https://doi.org/10.5194/nhess-16-287-2016, 2016
Short summary
Short summary
This study assesses the value of a novel technology, mobile augmented reality, for rapid damage and safety assessment of the state of buildings in the aftermath of a disaster event. In this study, we propose and demonstrate conceptual frameworks and approaches for in situ ground-based assessment based on augmented reality using mobile devices such as smartphones and tablet PCs.
J. Fernandez Galarreta, N. Kerle, and M. Gerke
Nat. Hazards Earth Syst. Sci., 15, 1087–1101, https://doi.org/10.5194/nhess-15-1087-2015, https://doi.org/10.5194/nhess-15-1087-2015, 2015
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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