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ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume IV-2/W5
https://doi.org/10.5194/isprs-annals-IV-2-W5-313-2019
© 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-annals-IV-2-W5-313-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
29 May 2019
| 29 May 2019
PREFACE – ISPRS WORKSHOP LASER SCANNING 2019
J. Boehm
Department of Civil, Environmental and Geomatics Engineering, University College London, London, UK
M. Rutzinger
Institute for Interdisciplinary Mountain Research, Austrian Academy of Sciences, Innsbruck, Austria
B. Yang
LIESMARS, State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, Hubei, China
M. Weinmann
Institute of Photogrammetry and Remote Sensing, Karlsruhe Institute of Technology, Karlsruhe, Germany
B. Riveiro
Dept. Materials Engineering, Applied Mechanics and Construction, School of Industrial Engineering - University of Vigo, Vigo, Spain
Hong Kong Polytechnic University, Kowloon, Hong Kong (SAR), China
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Short summary
Short summary
The activity of slow-moving deep-seated landslides is commonly governed by pore pressure variations within the shear zone. Groundwater recharge as a consequence of precipitation therefore is a process regulating the activity of landslides. In this context, we present a highly automated geo-statistical approach to spatially assess groundwater recharge controlling the velocity of a deep-seated landslide in Tyrol, Austria.
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R. Huang, W. Yao, Z. Ye, Y. Xu, and U. Stilla
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2020, 235–242, https://doi.org/10.5194/isprs-annals-V-2-2020-235-2020, https://doi.org/10.5194/isprs-annals-V-2-2020-235-2020, 2020
M. Soilán, A. Nóvoa, A. Sánchez-Rodríguez, B. Riveiro, and P. Arias
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2020, 281–288, https://doi.org/10.5194/isprs-annals-V-2-2020-281-2020, https://doi.org/10.5194/isprs-annals-V-2-2020-281-2020, 2020
M. Hermann, B. Ruf, M. Weinmann, and S. Hinz
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2020, 357–364, https://doi.org/10.5194/isprs-annals-V-2-2020-357-2020, https://doi.org/10.5194/isprs-annals-V-2-2020-357-2020, 2020
A. Mayr, M. Bremer, and M. Rutzinger
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2020, 765–772, https://doi.org/10.5194/isprs-annals-V-2-2020-765-2020, https://doi.org/10.5194/isprs-annals-V-2-2020-765-2020, 2020
M. Li and W. Yao
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2020, 765–772, https://doi.org/10.5194/isprs-annals-V-3-2020-765-2020, https://doi.org/10.5194/isprs-annals-V-3-2020-765-2020, 2020
P. Hübner, M. Weinmann, and S. Wursthorn
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-4-2020, 79–86, https://doi.org/10.5194/isprs-annals-V-4-2020-79-2020, https://doi.org/10.5194/isprs-annals-V-4-2020-79-2020, 2020
A. Ortiz Arteaga, D. Scott, and J. Boehm
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W17, 233–240, https://doi.org/10.5194/isprs-archives-XLII-2-W17-233-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W17-233-2019, 2019
S. Jiang, W. Yao, and M. Heurich
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W16, 127–133, https://doi.org/10.5194/isprs-archives-XLII-2-W16-127-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W16-127-2019, 2019
B. Ruf, T. Pollok, and M. Weinmann
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W7, 137–144, https://doi.org/10.5194/isprs-annals-IV-2-W7-137-2019, https://doi.org/10.5194/isprs-annals-IV-2-W7-137-2019, 2019
J. Boehm, M. Rutzinger, B. Yang, M. Weinmann, B. Riveiro, and W. Yao
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 915–917, https://doi.org/10.5194/isprs-archives-XLII-2-W13-915-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W13-915-2019, 2019
M. Bremer, V. Wichmann, M. Rutzinger, T. Zieher, and J. Pfeiffer
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 943–950, https://doi.org/10.5194/isprs-archives-XLII-2-W13-943-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W13-943-2019, 2019
D. Griffiths and J. Boehm
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 981–987, https://doi.org/10.5194/isprs-archives-XLII-2-W13-981-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W13-981-2019, 2019
R. Huang, Z. Ye, R. Boerner, W. Yao, Y. Xu, and U. Stilla
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 1015–1020, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1015-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1015-2019, 2019
J. Li, B. Yang, Y. Cong, S. Li, and Y. Yue
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 1027–1031, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1027-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1027-2019, 2019
X. Mi, B. Yang, C. Chen, M. Yang, and Z. Dong
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 1069–1075, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1069-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1069-2019, 2019
Y. Pan, B. Yang, S. Li, H. Yang, Z. Dong, and X. Yang
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 1089–1096, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1089-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1089-2019, 2019
W. Wu, C. Chen, Y. Cong, Z. Dong, J. Li, S. Li, W. Dai, and B. Yang
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 1155–1159, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1155-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1155-2019, 2019
M. Weinmann, R. Müller, R. Reulke, E. Honkavaara, D. Tuia, and S. Keller
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 1825–1826, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1825-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1825-2019, 2019
M. Weinmann and M. Weinmann
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 1899–1906, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1899-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1899-2019, 2019
D. Backes, G. Schumann, F. N. Teferle, and J. Boehm
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 181–187, https://doi.org/10.5194/isprs-archives-XLII-2-W13-181-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W13-181-2019, 2019
P. Polewski, W. Yao, and L. Fang
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 519–523, https://doi.org/10.5194/isprs-archives-XLII-2-W13-519-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W13-519-2019, 2019
S. Schmitz, M. Weinmann, and B. Ruf
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 581–588, https://doi.org/10.5194/isprs-archives-XLII-2-W13-581-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W13-581-2019, 2019
A. Mayr, M. Bremer, M. Rutzinger, and C. Geitner
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W5, 405–412, https://doi.org/10.5194/isprs-annals-IV-2-W5-405-2019, https://doi.org/10.5194/isprs-annals-IV-2-W5-405-2019, 2019
J. Pfeiffer, T. Zieher, M. Rutzinger, M. Bremer, and V. Wichmann
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W5, 421–428, https://doi.org/10.5194/isprs-annals-IV-2-W5-421-2019, https://doi.org/10.5194/isprs-annals-IV-2-W5-421-2019, 2019
P. Polewski, W. Yao, and M. Heurich
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W5, 429–436, https://doi.org/10.5194/isprs-annals-IV-2-W5-429-2019, https://doi.org/10.5194/isprs-annals-IV-2-W5-429-2019, 2019
M. Soilán, R. Lindenbergh, B. Riveiro, and A. Sánchez-Rodríguez
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W5, 445–452, https://doi.org/10.5194/isprs-annals-IV-2-W5-445-2019, https://doi.org/10.5194/isprs-annals-IV-2-W5-445-2019, 2019
T. Zieher, M. Bremer, M. Rutzinger, J. Pfeiffer, P. Fritzmann, and V. Wichmann
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W5, 461–467, https://doi.org/10.5194/isprs-annals-IV-2-W5-461-2019, https://doi.org/10.5194/isprs-annals-IV-2-W5-461-2019, 2019
M. Weinmann, R. Müller, R. Reulke, E. Honkavaara, D. Tuia, and S. Keller
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W5, 607–608, https://doi.org/10.5194/isprs-annals-IV-2-W5-607-2019, https://doi.org/10.5194/isprs-annals-IV-2-W5-607-2019, 2019
B. Jutzi, M. Weinmann, and S. Hinz
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-1, 1–3, https://doi.org/10.5194/isprs-annals-IV-1-1-2018, https://doi.org/10.5194/isprs-annals-IV-1-1-2018, 2018
K. Chen, M. Weinmann, X. Sun, M. Yan, S. Hinz, B. Jutzi, and M. Weinmann
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-1, 29–36, https://doi.org/10.5194/isprs-annals-IV-1-29-2018, https://doi.org/10.5194/isprs-annals-IV-1-29-2018, 2018
B. Ruf, L. Thiel, and M. Weinmann
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-1, 125–132, https://doi.org/10.5194/isprs-annals-IV-1-125-2018, https://doi.org/10.5194/isprs-annals-IV-1-125-2018, 2018
M. Weinmann, P. M. Maier, J. Florath, and U. Weidner
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-1, 155–162, https://doi.org/10.5194/isprs-annals-IV-1-155-2018, https://doi.org/10.5194/isprs-annals-IV-1-155-2018, 2018
B. Jutzi, M. Weinmann, and S. Hinz
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-1, 1–3, https://doi.org/10.5194/isprs-archives-XLII-1-1-2018, https://doi.org/10.5194/isprs-archives-XLII-1-1-2018, 2018
P. Hübner, M. Weinmann, and S. Wursthorn
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-1, 195–202, https://doi.org/10.5194/isprs-archives-XLII-1-195-2018, https://doi.org/10.5194/isprs-archives-XLII-1-195-2018, 2018
D. Griffiths and J. Boehm
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 391–398, https://doi.org/10.5194/isprs-archives-XLII-2-391-2018, https://doi.org/10.5194/isprs-archives-XLII-2-391-2018, 2018
P. Hu, Z. Dong, P. Yuan, F. Liang, and B. Yang
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 449–454, https://doi.org/10.5194/isprs-archives-XLII-2-449-2018, https://doi.org/10.5194/isprs-archives-XLII-2-449-2018, 2018
P. Hübner, M. Weinmann, M. Hillemann, B. Jutzi, and S. Wursthorn
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 455–462, https://doi.org/10.5194/isprs-archives-XLII-2-455-2018, https://doi.org/10.5194/isprs-archives-XLII-2-455-2018, 2018
A. Mayr, M. Rutzinger, and C. Geitner
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 691–697, https://doi.org/10.5194/isprs-archives-XLII-2-691-2018, https://doi.org/10.5194/isprs-archives-XLII-2-691-2018, 2018
F. Panella, J. Boehm, Y. Loo, A. Kaushik, and D. Gonzalez
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 829–835, https://doi.org/10.5194/isprs-archives-XLII-2-829-2018, https://doi.org/10.5194/isprs-archives-XLII-2-829-2018, 2018
D. P. Pocobelli, J. Boehm, P. Bryan, J. Still, and J. Grau-Bové
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 909–916, https://doi.org/10.5194/isprs-archives-XLII-2-909-2018, https://doi.org/10.5194/isprs-archives-XLII-2-909-2018, 2018
B. Riveiro, G. Cubreiro, B. Conde, M. Cabaleiro, R. Lindenbergh, M. Soilán, and J. C. Caamaño
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 969–974, https://doi.org/10.5194/isprs-archives-XLII-2-969-2018, https://doi.org/10.5194/isprs-archives-XLII-2-969-2018, 2018
M. Soilán, B. Riveiro, A. Sánchez-Rodríguez, and L. M. González-deSantos
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 1067–1074, https://doi.org/10.5194/isprs-archives-XLII-2-1067-2018, https://doi.org/10.5194/isprs-archives-XLII-2-1067-2018, 2018
T. Zieher, I. Toschi, F. Remondino, M. Rutzinger, Ch. Kofler, A. Mejia-Aguilar, and R. Schlögel
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 1243–1250, https://doi.org/10.5194/isprs-archives-XLII-2-1243-2018, https://doi.org/10.5194/isprs-archives-XLII-2-1243-2018, 2018
K. Chen, M. Weinmann, X. Gao, M. Yan, S. Hinz, B. Jutzi, and M. Weinmann
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2, 65–72, https://doi.org/10.5194/isprs-annals-IV-2-65-2018, https://doi.org/10.5194/isprs-annals-IV-2-65-2018, 2018
J. Wu, W. Yao, J. Zhang, and Y. Li
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3, 1883–1887, https://doi.org/10.5194/isprs-archives-XLII-3-1883-2018, https://doi.org/10.5194/isprs-archives-XLII-3-1883-2018, 2018
J. Li, B. Yang, W. Wu, W. Dai, C. Chen, X. Zou, and M. Tian
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W8, 127–132, https://doi.org/10.5194/isprs-archives-XLII-2-W8-127-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W8-127-2017, 2017
R. Ilehag, M. Weinmann, A. Schenk, S. Keller, B. Jutzi, and S. Hinz
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W3, 65–71, https://doi.org/10.5194/isprs-archives-XLII-3-W3-65-2017, https://doi.org/10.5194/isprs-archives-XLII-3-W3-65-2017, 2017
Y. Xu, R. Boerner, W. Yao, L. Hoegner, and U. Stilla
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W4, 185–191, https://doi.org/10.5194/isprs-annals-IV-2-W4-185-2017, https://doi.org/10.5194/isprs-annals-IV-2-W4-185-2017, 2017
W. Yao, P. Polewski, and P. Krzystek
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W7, 971–976, https://doi.org/10.5194/isprs-archives-XLII-2-W7-971-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W7-971-2017, 2017
R. Lindenbergh, B. Yang, J. Boehm, M. Rutzinger, W. Yao, and M. Weinmann
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W4, 31–33, https://doi.org/10.5194/isprs-annals-IV-2-W4-31-2017, https://doi.org/10.5194/isprs-annals-IV-2-W4-31-2017, 2017
R. Blomley and M. Weinmann
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W4, 43–50, https://doi.org/10.5194/isprs-annals-IV-2-W4-43-2017, https://doi.org/10.5194/isprs-annals-IV-2-W4-43-2017, 2017
R. Lindenbergh, B. Yang, J. Boehm, M. Rutzinger, W. Yao, and M. Weinmann
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W7, 199–201, https://doi.org/10.5194/isprs-archives-XLII-2-W7-199-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W7-199-2017, 2017
J. Kern, M. Weinmann, and S. Wursthorn
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W4, 83–90, https://doi.org/10.5194/isprs-annals-IV-2-W4-83-2017, https://doi.org/10.5194/isprs-annals-IV-2-W4-83-2017, 2017
B. Ruf, B. Erdnuess, and M. Weinmann
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W6, 325–332, https://doi.org/10.5194/isprs-archives-XLII-2-W6-325-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W6-325-2017, 2017
M. Weinmann, M. S. Müller, M. Hillemann, N. Reydel, S. Hinz, and B. Jutzi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W6, 399–406, https://doi.org/10.5194/isprs-archives-XLII-2-W6-399-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W6-399-2017, 2017
Thomas Zieher, Martin Rutzinger, Barbara Schneider-Muntau, Frank Perzl, David Leidinger, Herbert Formayer, and Clemens Geitner
Nat. Hazards Earth Syst. Sci., 17, 971–992, https://doi.org/10.5194/nhess-17-971-2017, https://doi.org/10.5194/nhess-17-971-2017, 2017
Short summary
Short summary
At catchment scale, it is challenging to provide the required input parameters for physically based slope stability models. In the present study, the parameterization of such a model is optimized against observed shallow landslides during two triggering rainfall events. With the resulting set of parameters the model reproduces the location and the triggering timing of most observed landslides. Based on that, potential effects of increasing precipitation intensity on slope stability are assessed.
S. Lagüela, M. Gesto, B. Riveiro, and D. González-Aguilera
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W4, 193–197, https://doi.org/10.5194/isprs-archives-XLII-2-W4-193-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W4-193-2017, 2017
W. Yao, P. Poleswki, and P. Krzystek
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B7, 405–410, https://doi.org/10.5194/isprs-archives-XLI-B7-405-2016, https://doi.org/10.5194/isprs-archives-XLI-B7-405-2016, 2016
B. Riveiro, M. DeJong, and B. Conde
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B5, 719–724, https://doi.org/10.5194/isprs-archives-XLI-B5-719-2016, https://doi.org/10.5194/isprs-archives-XLI-B5-719-2016, 2016
Bisheng Yang, Yuan Liu, Fuxun Liang, and Zhen Dong
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B3, 433–439, https://doi.org/10.5194/isprs-archives-XLI-B3-433-2016, https://doi.org/10.5194/isprs-archives-XLI-B3-433-2016, 2016
J. Boehm, K. Liu, and C. Alis
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B2, 343–348, https://doi.org/10.5194/isprs-archives-XLI-B2-343-2016, https://doi.org/10.5194/isprs-archives-XLI-B2-343-2016, 2016
M. Rutzinger, B. Höfle, R. Lindenbergh, S. Oude Elberink, F. Pirotti, R. Sailer, M. Scaioni, J. Stötter, and D. Wujanz
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., III-6, 15–22, https://doi.org/10.5194/isprs-annals-III-6-15-2016, https://doi.org/10.5194/isprs-annals-III-6-15-2016, 2016
C. Chen, B. S. Yang, and S. Song
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B1, 169–174, https://doi.org/10.5194/isprs-archives-XLI-B1-169-2016, https://doi.org/10.5194/isprs-archives-XLI-B1-169-2016, 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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