- Article
(1056 KB) - Metadata XML
- December 21, 2024
- |
- Home
- |
- Sitemap
- |
- The ISPRS Foundation
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume XLII-2/W13
https://doi.org/10.5194/isprs-archives-XLII-2-W13-1649-2019
© Author(s) 2019. 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-XLII-2-W13-1649-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
05 Jun 2019
| 05 Jun 2019
CORRECTION OF MOBILE MAPPING TRAJECTORIES IN GNSS-DENIED ENVIRONMENTS USING AERIAL NADIR AND AERIAL OBLIQUE IMAGES
P. Fanta-Jende
Dept. of Earth Observation Science, Faculty ITC, University of Twente, The Netherlands
Dept. of Earth Observation Science, Faculty ITC, University of Twente, The Netherlands
M. Gerke
Institute of Geodesy and Photogrammetry, Technische Universität Braunschweig, Germany
J. Lijnen
Dept. of Earth Observation Science, Faculty ITC, University of Twente, The Netherlands
G. Vosselman
Dept. of Earth Observation Science, Faculty ITC, University of Twente, The Netherlands
Related authors
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
Yasmin Loeper, Markus Gerke, Ahmed Alamouri, Alexander Kern, Mohammad Shafi Bajauri, and Phillipp Fanta-Jende
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-W8-2024, 311–318, https://doi.org/10.5194/isprs-archives-XLVIII-2-W8-2024-311-2024, https://doi.org/10.5194/isprs-archives-XLVIII-2-W8-2024-311-2024, 2024
Francesco Vultaggio, Phillipp Fanta-Jende, Matthias Schörghuber, Alexander Kern, and Markus Gerke
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-W8-2024, 447–454, https://doi.org/10.5194/isprs-archives-XLVIII-2-W8-2024-447-2024, https://doi.org/10.5194/isprs-archives-XLVIII-2-W8-2024-447-2024, 2024
K. Mawas, M. Maboudi, and M. Gerke
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W2-2023, 307–313, https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-307-2023, https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-307-2023, 2023
Y. Yadav, B. Alsadik, F. Nex, F. Remondino, and P. Glira
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W2-2023, 633–640, https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-633-2023, https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-633-2023, 2023
F. Ioli, F. Barbieri, F. Gaspari, F. Nex, and L. Pinto
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W2-2023, 1037–1044, https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-1037-2023, https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-1037-2023, 2023
P. Achanccaray, M. Gerke, L. Wesche, S. Hoyer, K. Thiele, U. Knufinke, and C. Krafczyk
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W2-2023, 1303–1309, https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-1303-2023, https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-1303-2023, 2023
S. M. Tilon and F. Nex
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-1-W1-2023, 431–437, https://doi.org/10.5194/isprs-annals-X-1-W1-2023-431-2023, https://doi.org/10.5194/isprs-annals-X-1-W1-2023-431-2023, 2023
U. V. B. L. Udugama, G. Vosselman, and F. Nex
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-1-W1-2023, 439–445, https://doi.org/10.5194/isprs-annals-X-1-W1-2023-439-2023, https://doi.org/10.5194/isprs-annals-X-1-W1-2023-439-2023, 2023
J. R. Bergado and F. Nex
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-1-W1-2023, 1027–1032, https://doi.org/10.5194/isprs-annals-X-1-W1-2023-1027-2023, https://doi.org/10.5194/isprs-annals-X-1-W1-2023-1027-2023, 2023
Y.-L. Wu, B. Alsadik, S. Oude Elberink, and G. Vosselman
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-1-W1-2023, 1105–1112, https://doi.org/10.5194/isprs-annals-X-1-W1-2023-1105-2023, https://doi.org/10.5194/isprs-annals-X-1-W1-2023-1105-2023, 2023
F. Nex, N. Zhang, F. Remondino, E. M. Farella, R. Qin, and C. Zhang
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W3-2023, 123–130, https://doi.org/10.5194/isprs-archives-XLVIII-1-W3-2023-123-2023, https://doi.org/10.5194/isprs-archives-XLVIII-1-W3-2023-123-2023, 2023
C. Berger and M. Gerke
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B4-2022, 223–230, https://doi.org/10.5194/isprs-archives-XLIII-B4-2022-223-2022, https://doi.org/10.5194/isprs-archives-XLIII-B4-2022-223-2022, 2022
M. S. Bajauri, A. Alamouri, and M. Gerke
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B4-2022, 335–342, https://doi.org/10.5194/isprs-archives-XLIII-B4-2022-335-2022, https://doi.org/10.5194/isprs-archives-XLIII-B4-2022-335-2022, 2022
N. Zhang, F. Nex, G. Vosselman, and N. Kerle
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2022, 1189–1196, https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-1189-2022, https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-1189-2022, 2022
K. Mawas, M. Maboudi, and M. Gerke
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2022, 459–466, https://doi.org/10.5194/isprs-archives-XLIII-B1-2022-459-2022, https://doi.org/10.5194/isprs-archives-XLIII-B1-2022-459-2022, 2022
K. K. Mwangangi, P. O. Mc’Okeyo, S. J. Oude Elberink, and F. Nex
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2022, 433–440, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-433-2022, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-433-2022, 2022
S. Karam, F. Nex, O. Karlsson, J. Rydell, E. Bilock, M. Tulldahl, M. Holmberg, and N. Kerle
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-1-2022, 203–210, https://doi.org/10.5194/isprs-annals-V-1-2022-203-2022, https://doi.org/10.5194/isprs-annals-V-1-2022-203-2022, 2022
A. Maiti, S. J. Oude Elberink, and G. Vosselman
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2022, 275–282, https://doi.org/10.5194/isprs-annals-V-2-2022-275-2022, https://doi.org/10.5194/isprs-annals-V-2-2022-275-2022, 2022
P. Kirui, B. Riedel, and M. Gerke
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2022, 115–122, https://doi.org/10.5194/isprs-annals-V-3-2022-115-2022, https://doi.org/10.5194/isprs-annals-V-3-2022-115-2022, 2022
T. Partovi, M. Dähne, M. Maboudi, D. Krueger, and M. Gerke
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2021, 85–92, https://doi.org/10.5194/isprs-archives-XLIII-B1-2021-85-2021, https://doi.org/10.5194/isprs-archives-XLIII-B1-2021-85-2021, 2021
M. Maboudi, A. Elbillehy, Y. Ghassoun, and M. Gerke
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2021, 183–188, https://doi.org/10.5194/isprs-archives-XLIII-B1-2021-183-2021, https://doi.org/10.5194/isprs-archives-XLIII-B1-2021-183-2021, 2021
N. Zhang, F. Nex, N. Kerle, and G. Vosselman
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2021, 427–432, https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-427-2021, https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-427-2021, 2021
M. Maboudi, A. Alamouri, V. De Arriba López, M. S. Bajauri, C. Berger, and M. Gerke
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-1-2021, 121–128, https://doi.org/10.5194/isprs-annals-V-1-2021-121-2021, https://doi.org/10.5194/isprs-annals-V-1-2021-121-2021, 2021
Y. Lyu, G. Vosselman, G.-S. Xia, and M. Y. Yang
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2021, 75–82, https://doi.org/10.5194/isprs-annals-V-2-2021-75-2021, https://doi.org/10.5194/isprs-annals-V-2-2021-75-2021, 2021
Johannes Buckel, Eike Reinosch, Andreas Hördt, Fan Zhang, Björn Riedel, Markus Gerke, Antje Schwalb, and Roland Mäusbacher
The Cryosphere, 15, 149–168, https://doi.org/10.5194/tc-15-149-2021, https://doi.org/10.5194/tc-15-149-2021, 2021
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.
M. Maboudi, M. Gerke, N. Hack, L. Brohmann, P. Schwerdtner, and G. Placzek
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B4-2020, 763–768, https://doi.org/10.5194/isprs-archives-XLIII-B4-2020-763-2020, https://doi.org/10.5194/isprs-archives-XLIII-B4-2020-763-2020, 2020
M.-O. Löwner, N. C. Bandelow, M. Gerke, F. Hillen, L. Klein, A. Schmidt, and T. Siefer
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B4-2020, 55–61, https://doi.org/10.5194/isprs-archives-XLIII-B4-2020-55-2020, https://doi.org/10.5194/isprs-archives-XLIII-B4-2020-55-2020, 2020
D. González-Aguilera, E. Ruiz de Oña, L. López-Fernandez, E. M. Farella, E. K. Stathopoulou, I. Toschi, F. Remondino, P. Rodríguez-Gonzálvez, D. Hernández-López, A. Fusiello, and F. Nex
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B5-2020, 213–219, https://doi.org/10.5194/isprs-archives-XLIII-B5-2020-213-2020, https://doi.org/10.5194/isprs-archives-XLIII-B5-2020-213-2020, 2020
S. Karam, V. Lehtola, and G. Vosselman
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-1-2020, 223–230, https://doi.org/10.5194/isprs-annals-V-1-2020-223-2020, https://doi.org/10.5194/isprs-annals-V-1-2020-223-2020, 2020
M. Gerke, Y. Ghassoun, A. Alamouri, M. Bobbe, Y. Khedar, and F. Plöger
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
P. O. Mc’Okeyo, F. Nex, C. Persello, and A. Vrieling
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-1-2020, 309–316, https://doi.org/10.5194/isprs-annals-V-1-2020-309-2020, https://doi.org/10.5194/isprs-annals-V-1-2020-309-2020, 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
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.
S. Karam, V. Lehtola, and G. Vosselman
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W17, 149–156, https://doi.org/10.5194/isprs-archives-XLII-2-W17-149-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W17-149-2019, 2019
M. Maboudi, J. Amini, and M. Gerke
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4-W18, 683–686, https://doi.org/10.5194/isprs-archives-XLII-4-W18-683-2019, https://doi.org/10.5194/isprs-archives-XLII-4-W18-683-2019, 2019
N. Kerle, F. Nex, D. Duarte, and A. Vetrivel
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W8, 187–194, https://doi.org/10.5194/isprs-archives-XLII-3-W8-187-2019, https://doi.org/10.5194/isprs-archives-XLII-3-W8-187-2019, 2019
S. Briechle, P. Krzystek, and G. Vosselman
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 951–955, https://doi.org/10.5194/isprs-archives-XLII-2-W13-951-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W13-951-2019, 2019
A. Riedel, B. Riedel, D. Tengen, and M. Gerke
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 1945–1949, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1945-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1945-2019, 2019
G. Vosselman, S. J. Oude Elberink, and M. Y. Yang
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 1–1, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1-2019, 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
F. Nex
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 163–164, https://doi.org/10.5194/isprs-archives-XLII-2-W13-163-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W13-163-2019, 2019
A. Alamouri, M. Gerke, S. Batzdorfer, M. Becker, U. Bestmann, M. Bobbe, Y. Khedar, T. Blume, J. Schattenberg, and J. Schmiemann
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 165–172, https://doi.org/10.5194/isprs-archives-XLII-2-W13-165-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W13-165-2019, 2019
H. K. Palanirajan, B. Alsadik, F. Nex, and S. Oude Elberink
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 495–502, https://doi.org/10.5194/isprs-archives-XLII-2-W13-495-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W13-495-2019, 2019
H.-J. Przybilla, M. Gerke, I. Dikhoff, and Y. Ghassoun
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 531–538, https://doi.org/10.5194/isprs-archives-XLII-2-W13-531-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W13-531-2019, 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
F. Nex
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W5, 85–86, https://doi.org/10.5194/isprs-annals-IV-2-W5-85-2019, https://doi.org/10.5194/isprs-annals-IV-2-W5-85-2019, 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
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
Daniele Giordan, Yuichi S. Hayakawa, Francesco Nex, and Paolo Tarolli
Nat. Hazards Earth Syst. Sci., 18, 3085–3087, https://doi.org/10.5194/nhess-18-3085-2018, https://doi.org/10.5194/nhess-18-3085-2018, 2018
Short summary
Short summary
In the special issue
The use of remotely piloted aircraft systems (RPAS) in monitoring applications and management of natural hazardswe propose a collection of papers that provide a critical description of the state of the art in the use of RPAS for different scenarios. In particular, the sequence of papers can be considered an exhaustive representation of the state of the art of the methodologies and approaches applied to the study and management of natural hazards.
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
Johnny Cusicanqui, Norman Kerle, and Francesco Nex
Nat. Hazards Earth Syst. Sci., 18, 1583–1598, https://doi.org/10.5194/nhess-18-1583-2018, https://doi.org/10.5194/nhess-18-1583-2018, 2018
Short summary
Short summary
Aerial multi-perspective images can be used for the effective assessment of post-disaster structural damage. Alternatively, rapidly available video data can be processed for the same purpose. However, video quality characteristics are different than those of images taken with still cameras. The use of video data in post-disaster damage assessment has not been demonstrated. Based on a comparative assessment, our findings support the application of video data in post-disaster damage assessment.
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
Daniele Giordan, Yuichi Hayakawa, Francesco Nex, Fabio Remondino, and Paolo Tarolli
Nat. Hazards Earth Syst. Sci., 18, 1079–1096, https://doi.org/10.5194/nhess-18-1079-2018, https://doi.org/10.5194/nhess-18-1079-2018, 2018
Short summary
Short summary
Remotely piloted aerial systems can acquire on-demand ultra-high-resolution images that can be used for the identification of active processes like landslides or volcanic activities but also for the definition of effects of earthquakes, wildfires and floods. In this paper, we present a review of published literature that describes experimental methodologies developed for the study and monitoring of natural hazards.
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
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
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
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
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.
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