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The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume XLIII-B1-2022
https://doi.org/10.5194/isprs-archives-XLIII-B1-2022-59-2022
© 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-archives-XLIII-B1-2022-59-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
30 May 2022
| 30 May 2022
ROBUST APPROACH FOR URBAN ROAD SURFACE EXTRACTION USING MOBILE LASER SCANNING 3D POINT CLOUDS
A. Nurunnabi
Geodesy and Geospatial Engineering, Faculty of Science, Technology and Medicine, University of Luxembourg, 6, rue Richard Codenhove-Kalergi, L-1359 Luxembourg
F. N. Teferle
Geodesy and Geospatial Engineering, Faculty of Science, Technology and Medicine, University of Luxembourg, 6, rue Richard Codenhove-Kalergi, L-1359 Luxembourg
R. C. Lindenbergh
Geosciences and Remote Sensing, Faculty of Civil Engineering and Geosciences, Delft University of Technology, 2628 CN Delft, The Netherlands
J. Li
Geography and Environmental Management, University of Waterloo, Waterloo ON N2L 3G1, Canada
S. Zlatanova
The School of Built Environment, The University of New South Wales, Sydney, NSW 2052, Australia
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Short summary
Short summary
Landslides are one of the major weather-related geohazards. To assess their potential impact and design mitigation solutions, a detailed understanding of the slope is required. We tested if the use of machine learning, combined with satellite remote sensing data, would allow us to forecast deformation. Our results on the Vögelsberg landslide, a deep-seated landslide near Innsbruck, Austria, show that the formulation of such a machine learning system is not as straightforward as often hoped for.
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Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-4-W4-2022, 1–3, https://doi.org/10.5194/isprs-archives-XLVIII-4-W4-2022-1-2022, https://doi.org/10.5194/isprs-archives-XLVIII-4-W4-2022-1-2022, 2022
S. I. Ishar, S. Zlatanova, and J. L. Roberts
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-4-W4-2022, 53–60, https://doi.org/10.5194/isprs-archives-XLVIII-4-W4-2022-53-2022, https://doi.org/10.5194/isprs-archives-XLVIII-4-W4-2022-53-2022, 2022
M. Taleai, M. Mokhtari, and S. Zlatanova
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-4-W4-2022, 139–146, https://doi.org/10.5194/isprs-archives-XLVIII-4-W4-2022-139-2022, https://doi.org/10.5194/isprs-archives-XLVIII-4-W4-2022-139-2022, 2022
L. Truong-Hong, R. C. Lindenbergh, and M. J. Vermeij
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-4-W4-2022, 161–168, https://doi.org/10.5194/isprs-archives-XLVIII-4-W4-2022-161-2022, https://doi.org/10.5194/isprs-archives-XLVIII-4-W4-2022-161-2022, 2022
R. Xie, S. Zlatanova, and J. B. Lee
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-4-W4-2022, 183–190, https://doi.org/10.5194/isprs-archives-XLVIII-4-W4-2022-183-2022, https://doi.org/10.5194/isprs-archives-XLVIII-4-W4-2022-183-2022, 2022
S. Zlatanova, G. Sithole, and J. Barton
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B4-2022, 7–8, https://doi.org/10.5194/isprs-archives-XLIII-B4-2022-7-2022, https://doi.org/10.5194/isprs-archives-XLIII-B4-2022-7-2022, 2022
S. N. Fatholahi, C. Pan, L. Wang, and J. Li
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B4-2022, 111–116, https://doi.org/10.5194/isprs-archives-XLIII-B4-2022-111-2022, https://doi.org/10.5194/isprs-archives-XLIII-B4-2022-111-2022, 2022
A. A. Diakite, L. Díaz-Vilariño, F. Biljecki, Ü. Isikdag, S. Simmons, K. Li, and S. Zlatanova
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B4-2022, 295–301, https://doi.org/10.5194/isprs-archives-XLIII-B4-2022-295-2022, https://doi.org/10.5194/isprs-archives-XLIII-B4-2022-295-2022, 2022
H. He, K. Gao, W. Tan, L. Wang, S. N. Fatholahi, N. Chen, M. A. Chapman, and J. Li
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2022, 31–37, https://doi.org/10.5194/isprs-archives-XLIII-B1-2022-31-2022, https://doi.org/10.5194/isprs-archives-XLIII-B1-2022-31-2022, 2022
Z. He, H. He, J. Li, M. A. Chapman, and H. Ding
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2022, 39–44, https://doi.org/10.5194/isprs-archives-XLIII-B1-2022-39-2022, https://doi.org/10.5194/isprs-archives-XLIII-B1-2022-39-2022, 2022
L. Wang, W. Tan, H. Xu, H. He, N. Chen, D. Li, M. A. Chapman, and J. Li
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2022, 73–78, https://doi.org/10.5194/isprs-archives-XLIII-B1-2022-73-2022, https://doi.org/10.5194/isprs-archives-XLIII-B1-2022-73-2022, 2022
A. Nurunnabi and F. N. Teferle
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2022, 617–624, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-617-2022, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-617-2022, 2022
H. S. Kathmann, A. L. van Natijne, and R. C. Lindenbergh
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2022, 1033–1040, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-1033-2022, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-1033-2022, 2022
M. Kuschnerus, R. Lindenbergh, Q. Lodder, E. Brand, and S. Vos
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2022, 1055–1061, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-1055-2022, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-1055-2022, 2022
S. Zlatanova, G. Sithole, and J. Barton
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-4-2022, 7–8, https://doi.org/10.5194/isprs-annals-V-4-2022-7-2022, https://doi.org/10.5194/isprs-annals-V-4-2022-7-2022, 2022
F. Dahle, J. Tanke, B. Wouters, and R. Lindenbergh
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2022, 237–244, https://doi.org/10.5194/isprs-annals-V-2-2022-237-2022, https://doi.org/10.5194/isprs-annals-V-2-2022-237-2022, 2022
M. Liu, G. Zhou, Z. Liu, L. Han, and J. Li
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2022, 297–302, https://doi.org/10.5194/isprs-annals-V-3-2022-297-2022, https://doi.org/10.5194/isprs-annals-V-3-2022-297-2022, 2022
N. Homainejad, S. Zlatanova, and N. Pfeifer
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2022, 697–704, https://doi.org/10.5194/isprs-annals-V-3-2022-697-2022, https://doi.org/10.5194/isprs-annals-V-3-2022-697-2022, 2022
A. Nurunnabi, F. N. Teferle, D. F. Laefer, R. C. Lindenbergh, and A. Hunegnaw
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-2-W1-2022, 401–408, https://doi.org/10.5194/isprs-archives-XLVI-2-W1-2022-401-2022, https://doi.org/10.5194/isprs-archives-XLVI-2-W1-2022-401-2022, 2022
A. Nurunnabi, F. N. Teferle, J. Li, R. C. Lindenbergh, and S. Parvaz
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-4-W5-2021, 397–404, https://doi.org/10.5194/isprs-archives-XLVI-4-W5-2021-397-2021, https://doi.org/10.5194/isprs-archives-XLVI-4-W5-2021-397-2021, 2021
Hongjie He, Zijian Jiang, Weikai Tan, Yuwei Cai, Sarah Narges Fatholahi, Kyle Gao, Hongzhang Xu, Bingxu Hu, Liyuan Qing, and Jonathan Li
Abstr. Int. Cartogr. Assoc., 3, 105, https://doi.org/10.5194/ica-abs-3-105-2021, https://doi.org/10.5194/ica-abs-3-105-2021, 2021
L. Truong-Hong, N. Nguyen, R. Lindenbergh, P. Fisk, and T. Huynh
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-4-W4-2021, 119–124, https://doi.org/10.5194/isprs-archives-XLVI-4-W4-2021-119-2021, https://doi.org/10.5194/isprs-archives-XLVI-4-W4-2021-119-2021, 2021
V. Coors, P. Rodrigues, C. Ellul, S. Zlatanova, R. Laurini, and M. Rumor
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., VIII-4-W1-2021, 1–2, https://doi.org/10.5194/isprs-annals-VIII-4-W1-2021-1-2021, https://doi.org/10.5194/isprs-annals-VIII-4-W1-2021-1-2021, 2021
V. Coors, P. Rodrigues, C. Ellul, S. Zlatanova, R. Laurini, and M. Rumor
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-4-W1-2021, 1–2, https://doi.org/10.5194/isprs-archives-XLVI-4-W1-2021-1-2021, https://doi.org/10.5194/isprs-archives-XLVI-4-W1-2021-1-2021, 2021
S. Zlatanova, S. Dragicevic, and G. Sithole
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B4-2021, 7–8, https://doi.org/10.5194/isprs-archives-XLIII-B4-2021-7-2021, https://doi.org/10.5194/isprs-archives-XLIII-B4-2021-7-2021, 2021
A. Nurunnabi, F. N. Teferle, J. Li, R. C. Lindenbergh, and A. Hunegnaw
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2021, 31–38, https://doi.org/10.5194/isprs-archives-XLIII-B1-2021-31-2021, https://doi.org/10.5194/isprs-archives-XLIII-B1-2021-31-2021, 2021
W. Zhu, W. Tan, L. Ma, D. Zhang, J. Li, and M. A. Chapman
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2021, 39–44, https://doi.org/10.5194/isprs-archives-XLIII-B1-2021-39-2021, https://doi.org/10.5194/isprs-archives-XLIII-B1-2021-39-2021, 2021
Q. Bai, R. C. Lindenbergh, J. Vijverberg, and J. A. P. Guelen
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2021, 115–122, https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-115-2021, https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-115-2021, 2021
M. Kuschnerus, D. Schröder, and R. Lindenbergh
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2021, 745–752, https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-745-2021, https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-745-2021, 2021
K. Anders, L. Winiwarter, H. Mara, R. C. Lindenbergh, S. E. Vos, and B. Höfle
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2021, 137–144, https://doi.org/10.5194/isprs-annals-V-2-2021-137-2021, https://doi.org/10.5194/isprs-annals-V-2-2021-137-2021, 2021
S. Zlatanova, S. Dragicevic, and G. Sithole
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-4-2021, 7–8, https://doi.org/10.5194/isprs-annals-V-4-2021-7-2021, https://doi.org/10.5194/isprs-annals-V-4-2021-7-2021, 2021
Mieke Kuschnerus, Roderik Lindenbergh, and Sander Vos
Earth Surf. Dynam., 9, 89–103, https://doi.org/10.5194/esurf-9-89-2021, https://doi.org/10.5194/esurf-9-89-2021, 2021
Short summary
Short summary
Sandy coasts are areas that undergo a lot of changes, which are caused by different influences, such as tides, wind or human activity. Permanent laser scanning is used to generate a three-dimensional representation of a part of the coast continuously over an extended period. By comparing three unsupervised learning algorithms, we develop a methodology to analyse the resulting data set and derive which processes are dominating changes in the beach and dunes.
P. Helmholz, S. Zlatanova, J. Barton, and M. Aleksandrov
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIV-3-W1-2020, 1–3, https://doi.org/10.5194/isprs-archives-XLIV-3-W1-2020-1-2020, https://doi.org/10.5194/isprs-archives-XLIV-3-W1-2020-1-2020, 2020
S. Choy, Y. B. Bai, S. Zlatanova, A. Diakite, E. Rubinov, C. Marshall, P. Knight, A. Riddell, V. Rooke, M. Woolf, N. Kishi, and S. Kogure
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIV-3-W1-2020, 21–28, https://doi.org/10.5194/isprs-archives-XLIV-3-W1-2020-21-2020, https://doi.org/10.5194/isprs-archives-XLIV-3-W1-2020-21-2020, 2020
J. Jia, S. Zlatanova, and K. Zhang
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIV-3-W1-2020, 73–80, https://doi.org/10.5194/isprs-archives-XLIV-3-W1-2020-73-2020, https://doi.org/10.5194/isprs-archives-XLIV-3-W1-2020-73-2020, 2020
P. Helmholz, S. Zlatanova, J. Barton, and M. Aleksandrov
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., VI-3-W1-2020, 1–2, https://doi.org/10.5194/isprs-annals-VI-3-W1-2020-1-2020, https://doi.org/10.5194/isprs-annals-VI-3-W1-2020-1-2020, 2020
J. Barton, B. Gorte, M. S. R. S. Eusuf, and S. Zlatanova
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., VI-3-W1-2020, 3–10, https://doi.org/10.5194/isprs-annals-VI-3-W1-2020-3-2020, https://doi.org/10.5194/isprs-annals-VI-3-W1-2020-3-2020, 2020
W. Li, S. Zlatanova, and B. Gorte
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., VI-3-W1-2020, 35–42, https://doi.org/10.5194/isprs-annals-VI-3-W1-2020-35-2020, https://doi.org/10.5194/isprs-annals-VI-3-W1-2020-35-2020, 2020
J. Jia, S. Zlatanova, S. Hawken, and K. F. Zhang
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., VI-4-W2-2020, 79–86, https://doi.org/10.5194/isprs-annals-VI-4-W2-2020-79-2020, https://doi.org/10.5194/isprs-annals-VI-4-W2-2020-79-2020, 2020
J. Yan, S. Zlatanova, and A. A. Diakite
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., VI-4-W1-2020, 175–182, https://doi.org/10.5194/isprs-annals-VI-4-W1-2020-175-2020, https://doi.org/10.5194/isprs-annals-VI-4-W1-2020-175-2020, 2020
H. Bayat, M. R. Delavar, W. Barghi, S. A. EslamiNezhad, P. Hanachi, and S. Zlatanova
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B4-2020, 321–327, https://doi.org/10.5194/isprs-archives-XLIII-B4-2020-321-2020, https://doi.org/10.5194/isprs-archives-XLIII-B4-2020-321-2020, 2020
A. A. Diakité, S. Zlatanova, A. F. M. Alattas, and K. J. Li
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B4-2020, 337–344, https://doi.org/10.5194/isprs-archives-XLIII-B4-2020-337-2020, https://doi.org/10.5194/isprs-archives-XLIII-B4-2020-337-2020, 2020
S. Zlatanova, S. Dragicevic, and G. Sithole
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B4-2020, 7–9, https://doi.org/10.5194/isprs-archives-XLIII-B4-2020-7-2020, https://doi.org/10.5194/isprs-archives-XLIII-B4-2020-7-2020, 2020
M. Rutzinger, K. Anders, M. Bremer, B. Höfle, R. Lindenbergh, S. Oude Elberink, F. Pirotti, M. Scaioni, and T. Zieher
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B5-2020, 243–250, https://doi.org/10.5194/isprs-archives-XLIII-B5-2020-243-2020, https://doi.org/10.5194/isprs-archives-XLIII-B5-2020-243-2020, 2020
S. Pirasteh, G. Shamsipour, G. Liu, R. Hajibagheri, A. Ghasemzadeh, M. Jokar, H. Zarbakhsh, F. Behnamfar, and J. Li
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2020, 1705–1708, https://doi.org/10.5194/isprs-archives-XLIII-B3-2020-1705-2020, https://doi.org/10.5194/isprs-archives-XLIII-B3-2020-1705-2020, 2020
H. Guan, Y. Yu, D. Li, and J. Li
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2020, 599–603, https://doi.org/10.5194/isprs-archives-XLIII-B3-2020-599-2020, https://doi.org/10.5194/isprs-archives-XLIII-B3-2020-599-2020, 2020
M. S. R. S. Eusuf, J. Barton, B. Gorte, and S. Zlatanova
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2020, 1199–1206, https://doi.org/10.5194/isprs-archives-XLIII-B3-2020-1199-2020, https://doi.org/10.5194/isprs-archives-XLIII-B3-2020-1199-2020, 2020
E. Widyaningrum, M. K. Fajari, R. C. Lindenbergh, and M. Hahn
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2020, 339–346, https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-339-2020, https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-339-2020, 2020
L. Truong-Hong and R. C. Lindenbergh
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2020, 501–506, https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-501-2020, https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-501-2020, 2020
Z. Sha, Y. Chen, W. Li, C. Wang, A. Nurunnabi, and J. Li
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2020, 65–71, https://doi.org/10.5194/isprs-archives-XLIII-B1-2020-65-2020, https://doi.org/10.5194/isprs-archives-XLIII-B1-2020-65-2020, 2020
Q. Yu, W. Liu, and J. Li
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2020, 85–89, https://doi.org/10.5194/isprs-archives-XLIII-B1-2020-85-2020, https://doi.org/10.5194/isprs-archives-XLIII-B1-2020-85-2020, 2020
S. N. Fatholahi, Y. Gu, M. Liu, L. Ma, Y. Chen, and J. Li
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-1-2020, 71–79, https://doi.org/10.5194/isprs-annals-V-1-2020-71-2020, https://doi.org/10.5194/isprs-annals-V-1-2020-71-2020, 2020
H. Wu, Z. Xie, C. Wen, C. Wang, and J. Li
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-1-2020, 207–213, https://doi.org/10.5194/isprs-annals-V-1-2020-207-2020, https://doi.org/10.5194/isprs-annals-V-1-2020-207-2020, 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
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4-W20, 55–63, https://doi.org/10.5194/isprs-archives-XLII-4-W20-55-2019, https://doi.org/10.5194/isprs-archives-XLII-4-W20-55-2019, 2019
C. Ellul, A. Abdul Rahman, V. Coors, S. Zlatanova, R. Laurini, and M. Rumor
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
M. Aleksandrov, A. Diakité, J. Yan, W. Li, and S. Zlatanova
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4-W9, 3–10, https://doi.org/10.5194/isprs-annals-IV-4-W9-3-2019, https://doi.org/10.5194/isprs-annals-IV-4-W9-3-2019, 2019
B. Gorte, M. Aleksandrov, and S. Zlatanova
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4-W9, 43–47, https://doi.org/10.5194/isprs-annals-IV-4-W9-43-2019, https://doi.org/10.5194/isprs-annals-IV-4-W9-43-2019, 2019
C. Ellul, A. Abdul Rahman, V. Coors, S. Zlatanova, R. Laurini, and M. Rumor
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
Lingfei Ma, Tianyu Wu, Ying Li, Jonathan Li, Yiping Chen, and Michael Chapman
Adv. Cartogr. GIScience Int. Cartogr. Assoc., 1, 12, https://doi.org/10.5194/ica-adv-1-12-2019, https://doi.org/10.5194/ica-adv-1-12-2019, 2019
H. Guan, Y. Yu, W. Yan, D. Li, and J. Li
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 989–993, https://doi.org/10.5194/isprs-archives-XLII-2-W13-989-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W13-989-2019, 2019
R. Lindenbergh, S. van der Kleij, M. Kuschnerus, S. Vos, and S. de Vries
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 1039–1046, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1039-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1039-2019, 2019
L. Truong-Hong, D. F. Laefer, and R. C. Lindenbergh
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 1135–1140, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1135-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1135-2019, 2019
B. B. van der Horst, R. C. Lindenbergh, and S. W. J. Puister
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 1141–1148, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1141-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1141-2019, 2019
Y. Zang and R. C. Lindenbergh
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 1169–1175, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1169-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1169-2019, 2019
Y. Ao, J. Wang, M. Zhou, R. C. Lindenbergh, and M. Y. Yang
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
L. Ma, Z. Chen, Y. Li, D. Zhang, J. Li, and M. A. Chapman
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 79–86, https://doi.org/10.5194/isprs-archives-XLII-2-W13-79-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W13-79-2019, 2019
K. Zhou, Y. Chen, I. Smal, and R. Lindenbergh
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 155–161, https://doi.org/10.5194/isprs-archives-XLII-2-W13-155-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W13-155-2019, 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
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
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
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
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
R. P. A. Bormans, R. C. Lindenbergh, and F. Karimi Nejadasl
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 141–148, https://doi.org/10.5194/isprs-archives-XLII-2-141-2018, https://doi.org/10.5194/isprs-archives-XLII-2-141-2018, 2018
I. Puente, R. Lindenbergh, A. Van Natijne, R. Esposito, and R. Schipper
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 923–929, https://doi.org/10.5194/isprs-archives-XLII-2-923-2018, https://doi.org/10.5194/isprs-archives-XLII-2-923-2018, 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
A. L. van Natijne, R. C. Lindenbergh, and R. F. Hanssen
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 1137–1144, https://doi.org/10.5194/isprs-archives-XLII-2-1137-2018, https://doi.org/10.5194/isprs-archives-XLII-2-1137-2018, 2018
J. Wang and R. Lindenbergh
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 1163–1168, https://doi.org/10.5194/isprs-archives-XLII-2-1163-2018, https://doi.org/10.5194/isprs-archives-XLII-2-1163-2018, 2018
E. Widyaningrum, R. C. Lindenbergh, B. G. H. Gorte, and K. Zhou
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 1199–1205, https://doi.org/10.5194/isprs-archives-XLII-2-1199-2018, https://doi.org/10.5194/isprs-archives-XLII-2-1199-2018, 2018
K. Zhou, B. Gorte, R. Lindenbergh, and E. Widyaningrum
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 1229–1235, https://doi.org/10.5194/isprs-archives-XLII-2-1229-2018, https://doi.org/10.5194/isprs-archives-XLII-2-1229-2018, 2018
F. Chen, S. Lou, Q. Fan, J. Li, C. Wang, and M. Claverie
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3, 2619–2624, https://doi.org/10.5194/isprs-archives-XLII-3-2619-2018, https://doi.org/10.5194/isprs-archives-XLII-3-2619-2018, 2018
A. A. Diakité, S. Zlatanova, and K.-J. Li
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4-W5, 41–48, https://doi.org/10.5194/isprs-annals-IV-4-W5-41-2017, https://doi.org/10.5194/isprs-annals-IV-4-W5-41-2017, 2017
O. Cervantes, C. Ellu, D. Sol, G. Agugiaro, S. Zlatanova, R. Laurini, V. Coors, and M. Rumor
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4-W3, 1–3, https://doi.org/10.5194/isprs-annals-IV-4-W3-1-2017, https://doi.org/10.5194/isprs-annals-IV-4-W3-1-2017, 2017
O. Cervantes, C. Ellu, D. Sol, G. Agugiaro, S. Zlatanova, R. Laurini, V. Coors, and M. Rumor
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4-W3, 1–3, https://doi.org/10.5194/isprs-archives-XLII-4-W3-1-2017, https://doi.org/10.5194/isprs-archives-XLII-4-W3-1-2017, 2017
L. Liu, S. Zlatanova, Q. Zhu, and K. Li
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W4, 343–348, https://doi.org/10.5194/isprs-annals-IV-2-W4-343-2017, https://doi.org/10.5194/isprs-annals-IV-2-W4-343-2017, 2017
B. R. Staats, A. A. Diakité, R. L. Voûte, and S. Zlatanova
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W4, 393–400, https://doi.org/10.5194/isprs-annals-IV-2-W4-393-2017, https://doi.org/10.5194/isprs-annals-IV-2-W4-393-2017, 2017
M. Xu, S. Wei, S. Zlatanova, and R. Zhang
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W4, 417–423, https://doi.org/10.5194/isprs-annals-IV-2-W4-417-2017, https://doi.org/10.5194/isprs-annals-IV-2-W4-417-2017, 2017
Y. Shen, R. Lindenbergh, B. Hofland, and R. Kramer
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W4, 139–147, https://doi.org/10.5194/isprs-annals-IV-2-W4-139-2017, https://doi.org/10.5194/isprs-annals-IV-2-W4-139-2017, 2017
N. Grasso, E. Verbree, S. Zlatanova, and M. Piras
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W4, 311–317, https://doi.org/10.5194/isprs-annals-IV-2-W4-311-2017, https://doi.org/10.5194/isprs-annals-IV-2-W4-311-2017, 2017
L. Díaz-Vilariño, E. Verbree, S. Zlatanova, and A. Diakité
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W7, 345–352, https://doi.org/10.5194/isprs-archives-XLII-2-W7-345-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W7-345-2017, 2017
J. Yan, N. Grasso, S. Zlatanova, R. C. Braggaar, and D. B. Marx
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W7, 423–430, https://doi.org/10.5194/isprs-archives-XLII-2-W7-423-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W7-423-2017, 2017
A. Nurunnabi, Y. Sadahiro, and R. Lindenbergh
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-1-W1, 63–70, https://doi.org/10.5194/isprs-archives-XLII-1-W1-63-2017, https://doi.org/10.5194/isprs-archives-XLII-1-W1-63-2017, 2017
Anna Klos, Addisu Hunegnaw, Felix Norman Teferle, Kibrom Ebuy Abraha, Furqan Ahmed, and Janusz Bogusz
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2016-385, https://doi.org/10.5194/amt-2016-385, 2016
Revised manuscript not accepted
Short summary
Short summary
GPS can remotely sense integrated atmospheric water vapour and in-doing so improve e.g. the accuracy of assimilated numerical weather models. Specially, GPS is well suited in the study of the atmospheric conditions since it is increasingly deployed ever widely around the globe. In this research, we used trend estimates of Zenith Total Delay series and provide a most recent picture of trend and their uncertainties which are used widely to interpret a change in climate.
S. Zlatanova, P. J. M. Van Oosterom, J. Lee, K.-J. Li, and C. H. J. Lemmen
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W1, 257–263, https://doi.org/10.5194/isprs-annals-IV-2-W1-257-2016, https://doi.org/10.5194/isprs-annals-IV-2-W1-257-2016, 2016
S. Zlatanova, R. Laurini, M. Baucic, M. Rumor, C. Ellul, and V. Coors
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4-W1, 1–1, https://doi.org/10.5194/isprs-annals-IV-4-W1-1-2016, https://doi.org/10.5194/isprs-annals-IV-4-W1-1-2016, 2016
Z. Wang, S. Zlatanova, and J. Steenbruggen
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4-W1, 45–49, https://doi.org/10.5194/isprs-annals-IV-4-W1-45-2016, https://doi.org/10.5194/isprs-annals-IV-4-W1-45-2016, 2016
Tzvetan Simeonov, Dmitry Sidorov, Felix Norman Teferle, Georgi Milev, and Guergana Guerova
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2016-152, https://doi.org/10.5194/amt-2016-152, 2016
Revised manuscript not accepted
Weihong Cui, Guofeng Wang, Chenyi Feng, Yiwei Zheng, Jonathan Li, and Yi Zhang
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B7, 195–203, https://doi.org/10.5194/isprs-archives-XLI-B7-195-2016, https://doi.org/10.5194/isprs-archives-XLI-B7-195-2016, 2016
Shanxin Zhang, Cheng Wang, Zhuang Yang, Yiping Chen, and Jonathan Li
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B5, 615–619, https://doi.org/10.5194/isprs-archives-XLI-B5-615-2016, https://doi.org/10.5194/isprs-archives-XLI-B5-615-2016, 2016
Yuenan Li, Jianjun Wang, Cheng Chen, Yifei Chen, and Jonathan Li
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B2, 721–727, https://doi.org/10.5194/isprs-archives-XLI-B2-721-2016, https://doi.org/10.5194/isprs-archives-XLI-B2-721-2016, 2016
J. Böhm, M. Bredif, T. Gierlinger, M. Krämer, R. Lindenberg, K. Liu, F. Michel, and B. Sirmacek
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B3, 301–307, https://doi.org/10.5194/isprs-archives-XLI-B3-301-2016, https://doi.org/10.5194/isprs-archives-XLI-B3-301-2016, 2016
Yifei Chen, Yuenan Li, and Jonathan Li
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B2, 695–702, https://doi.org/10.5194/isprs-archives-XLI-B2-695-2016, https://doi.org/10.5194/isprs-archives-XLI-B2-695-2016, 2016
E. Demir Ozbek, S. Zlatanova, S. Ates Aydar, and T. Yomralioglu
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B2, 101–108, https://doi.org/10.5194/isprs-archives-XLI-B2-101-2016, https://doi.org/10.5194/isprs-archives-XLI-B2-101-2016, 2016
Haocheng Zhang, Jonathan Li, Ming Cheng, and Cheng Wang
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B1, 717–723, https://doi.org/10.5194/isprs-archives-XLI-B1-717-2016, https://doi.org/10.5194/isprs-archives-XLI-B1-717-2016, 2016
Xinqu Chen and Jonathan Li
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B1, 545–549, https://doi.org/10.5194/isprs-archives-XLI-B1-545-2016, https://doi.org/10.5194/isprs-archives-XLI-B1-545-2016, 2016
V. H. Phan, R. C. Lindenbergh, and M. Menenti
The Cryosphere Discuss., https://doi.org/10.5194/tcd-8-2425-2014, https://doi.org/10.5194/tcd-8-2425-2014, 2014
Revised manuscript not accepted
J. F. Levinsen, K. Khvorostovsky, F. Ticconi, A. Shepherd, R. Forsberg, L. S. Sørensen, A. Muir, N. Pie, D. Felikson, T. Flament, R. Hurkmans, G. Moholdt, B. Gunter, R. C. Lindenbergh, and M. Kleinherenbrink
The Cryosphere Discuss., https://doi.org/10.5194/tcd-7-5433-2013, https://doi.org/10.5194/tcd-7-5433-2013, 2013
Revised manuscript not accepted
V. H. Phan, R. C. Lindenbergh, and M. Menenti
Hydrol. Earth Syst. Sci., 17, 4061–4077, https://doi.org/10.5194/hess-17-4061-2013, https://doi.org/10.5194/hess-17-4061-2013, 2013
H. Yan, Z. Wang, and J. Li
Geosci. Model Dev., 6, 1591–1599, https://doi.org/10.5194/gmd-6-1591-2013, https://doi.org/10.5194/gmd-6-1591-2013, 2013
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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