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ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume V-5-2022
https://doi.org/10.5194/isprs-annals-V-5-2022-1-2022
© 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-annals-V-5-2022-1-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
18 May 2022
| 18 May 2022
PREFACE: THE 2022 EDITION OF THE XXIVTH ISPRS CONGRESS
L. Landrieu
Univ. Gustave Eiffel, IGN-ENSG, LASTIG, France
E. Rupnik
Univ. Gustave Eiffel, IGN-ENSG, LASTIG, France
S. Oude Elberink
University of Twente, the Netherlands
C. Mallet
Univ. Gustave Eiffel, IGN-ENSG, LASTIG, France
N. Paparoditis
Univ. Gustave Eiffel, IGN-ENSG, France
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Short summary
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The panoramic cameras (PCs) on board Hexagon KH-9 satellite missions from 1971–1984 captured very high-resolution stereo imagery with up to 60 cm spatial resolution. This study explores the potential of this imagery for glacier mapping and change estimation. The high resolution of KH-9PC leads to higher-quality DEMs which better resolve the accumulation region of glaciers in comparison to the KH-9 mapping camera, and KH-9PC imagery can be useful in several Earth observation applications.
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ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2020, 1–6, https://doi.org/10.5194/isprs-annals-V-2-2020-1-2020, https://doi.org/10.5194/isprs-annals-V-2-2020-1-2020, 2020
E. Rupnik and M. Pierrot Deseilligny
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2020, 71–78, https://doi.org/10.5194/isprs-annals-V-2-2020-71-2020, https://doi.org/10.5194/isprs-annals-V-2-2020-71-2020, 2020
L. Zhang, E. Rupnik, and M. Pierrot-Deseilligny
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2020, 127–134, https://doi.org/10.5194/isprs-annals-V-2-2020-127-2020, https://doi.org/10.5194/isprs-annals-V-2-2020-127-2020, 2020
S. J. Oude Elberink
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2020, 251–258, https://doi.org/10.5194/isprs-annals-V-2-2020-251-2020, https://doi.org/10.5194/isprs-annals-V-2-2020-251-2020, 2020
A. Le Bris, S. Giordano, and C. Mallet
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2020, 1013–1019, https://doi.org/10.5194/isprs-annals-V-2-2020-1013-2020, https://doi.org/10.5194/isprs-annals-V-2-2020-1013-2020, 2020
C. Mallet, F. Lafarge, M. Poreba, E. Rupnik, G. Bahl, N. Girard, A. Garioud, I. Dowman, and N. Paparoditis
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2020, 1–6, https://doi.org/10.5194/isprs-annals-V-3-2020-1-2020, https://doi.org/10.5194/isprs-annals-V-3-2020-1-2020, 2020
C. Mallet, F. Lafarge, M. Poreba, E. Rupnik, G. Bahl, N. Girard, A. Garioud, I. Dowman, and N. Paparoditis
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-4-2020, 1–6, https://doi.org/10.5194/isprs-annals-V-4-2020-1-2020, https://doi.org/10.5194/isprs-annals-V-4-2020-1-2020, 2020
C. Mallet, F. Lafarge, M. Poreba, E. Rupnik, G. Bahl, N. Girard, A. Garioud, I. Dowman, and N. Paparoditis
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-5-2020, 1–6, https://doi.org/10.5194/isprs-annals-V-5-2020-1-2020, https://doi.org/10.5194/isprs-annals-V-5-2020-1-2020, 2020
R. Roscher, M. Volpi, C. Mallet, L. Drees, and J. D. Wegner
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-5-2020, 109–116, https://doi.org/10.5194/isprs-annals-V-5-2020-109-2020, https://doi.org/10.5194/isprs-annals-V-5-2020-109-2020, 2020
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
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
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
Y. Zhou, E. Rupnik, C. Meynard, C. Thom, and M. Pierrot-Deseilligny
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W5, 195–200, https://doi.org/10.5194/isprs-annals-IV-2-W5-195-2019, https://doi.org/10.5194/isprs-annals-IV-2-W5-195-2019, 2019
S. Guinard, L. Landrieu, L. Caraffa, and B. Vallet
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W5, 365–372, https://doi.org/10.5194/isprs-annals-IV-2-W5-365-2019, https://doi.org/10.5194/isprs-annals-IV-2-W5-365-2019, 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
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
S. Giordano, A. Le Bris, and C. Mallet
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2, 105–112, https://doi.org/10.5194/isprs-annals-IV-2-105-2018, https://doi.org/10.5194/isprs-annals-IV-2-105-2018, 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
A. Rizaldy, C. Persello, C. M. Gevaert, and S. J. Oude Elberink
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2, 231–238, https://doi.org/10.5194/isprs-annals-IV-2-231-2018, https://doi.org/10.5194/isprs-annals-IV-2-231-2018, 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
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
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
M. A. Brovelli, D. Kotzinos, N. Paparoditis, and V. Raghavan
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4-W2, 1–2, https://doi.org/10.5194/isprs-archives-XLII-4-W2-1-2017, https://doi.org/10.5194/isprs-archives-XLII-4-W2-1-2017, 2017
S. Guinard and L. Landrieu
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-1-W1, 151–157, https://doi.org/10.5194/isprs-archives-XLII-1-W1-151-2017, https://doi.org/10.5194/isprs-archives-XLII-1-W1-151-2017, 2017
W. Ouerghemmi, A. Le Bris, N. Chehata, and C. Mallet
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-1-W1, 167–174, https://doi.org/10.5194/isprs-archives-XLII-1-W1-167-2017, https://doi.org/10.5194/isprs-archives-XLII-1-W1-167-2017, 2017
P. Jende, Z. Hussnain, M. Peter, S. Oude Elberink, M. Gerke, and G. Vosselman
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-3-W4, 19–26, https://doi.org/10.5194/isprs-archives-XL-3-W4-19-2016, https://doi.org/10.5194/isprs-archives-XL-3-W4-19-2016, 2016
The International Society for Photogrammetry and Remote Sensing is a non-governmental organization devoted to the development of international cooperation for the advancement of photogrammetry and remote sensing and their applications. The Society operates without any discrimination on grounds of race, religion, nationality, or political philosophy.
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