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The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume XLVIII-1/W1-2023
https://doi.org/10.5194/isprs-archives-XLVIII-1-W1-2023-249-2023
© Author(s) 2023. 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-XLVIII-1-W1-2023-249-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
25 May 2023
| 25 May 2023
ITERATIVE REFRACTION-CORRECTION METHOD ON MVS-SFM FOR SHALLOW STREAM BATHYMETRY
A. M. Lingua
Department of Environment Land and Infrastructure Engineering (DIATI), Torino, Italy
P. Maschio
Department of Environment Land and Infrastructure Engineering (DIATI), Torino, Italy
A. Spadaro
Department of Environment Land and Infrastructure Engineering (DIATI), Torino, Italy
Department of Environment Land and Infrastructure Engineering (DIATI), Torino, Italy
G. Negro
Department of Environment Land and Infrastructure Engineering (DIATI), Torino, Italy
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Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2020, 183–189, https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-183-2020, https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-183-2020, 2020
I. Aicardi, S. Angeli, N. Grasso, A. M. Lingua, and P. Maschio
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2020, 1009–1016, https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-1009-2020, https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-1009-2020, 2020
C. Wang, Y. Dai, N. Elsheimy, C. Wen, G. Retscher, Z. Kang, and A. Lingua
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-5-2020, 117–123, https://doi.org/10.5194/isprs-annals-V-5-2020-117-2020, https://doi.org/10.5194/isprs-annals-V-5-2020-117-2020, 2020
E. S. Malinverni, R. Pierdicca, M. Paolanti, M. Martini, C. Morbidoni, F. Matrone, and A. Lingua
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W15, 735–742, https://doi.org/10.5194/isprs-archives-XLII-2-W15-735-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W15-735-2019, 2019
M. A. Musci, I. Aicardi, P. Dabove, and A. M. Lingua
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 1701–1707, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1701-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1701-2019, 2019
C. Wang, Y. Dai, N. El-Sheimy, C. Wen, G. Retscher, Z. Kang, and A. Lingua
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 1709–1713, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1709-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1709-2019, 2019
F. Chiabrando, F. Giulio Tonolo, and A. Lingua
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 247–253, https://doi.org/10.5194/isprs-archives-XLII-2-W13-247-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W13-247-2019, 2019
F. Matrone, E. Colucci, V. De Ruvo, A. Lingua, and A. Spanò
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W11, 857–865, https://doi.org/10.5194/isprs-archives-XLII-2-W11-857-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W11-857-2019, 2019
B. G. Marino, A. Masiero, F. Chiabrando, A. M. Lingua, F. Fissore, W. Błaszczak-Bak, and A. Vettore
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W11, 809–813, https://doi.org/10.5194/isprs-archives-XLII-2-W11-809-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W11-809-2019, 2019
A. Masiero, F. Chiabrando, A. M. Lingua, B. G. Marino, F. Fissore, A. Guarnieri, and A. Vettore
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W9, 473–478, https://doi.org/10.5194/isprs-archives-XLII-2-W9-473-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W9-473-2019, 2019
E. Colucci, F. Noardo, F. Matrone, A. Spanò, and A. Lingua
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4, 107–114, https://doi.org/10.5194/isprs-archives-XLII-4-107-2018, https://doi.org/10.5194/isprs-archives-XLII-4-107-2018, 2018
F. Chiabrando, E. Colucci, A. Lingua, F. Matrone, F. Noardo, and A. Spanò
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W4, 151–158, https://doi.org/10.5194/isprs-archives-XLII-3-W4-151-2018, https://doi.org/10.5194/isprs-archives-XLII-3-W4-151-2018, 2018
A. Lingua, F. Noardo, A. Spanò, S. Sanna, and F. Matrone
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4-W2, 107–115, https://doi.org/10.5194/isprs-archives-XLII-4-W2-107-2017, https://doi.org/10.5194/isprs-archives-XLII-4-W2-107-2017, 2017
Francesco Avanzi, Alberto Bianchi, Alberto Cina, Carlo De Michele, Paolo Maschio, Diana Pagliari, Daniele Passoni, Livio Pinto, Marco Piras, and Lorenzo Rossi
The Cryosphere Discuss., https://doi.org/10.5194/tc-2017-57, https://doi.org/10.5194/tc-2017-57, 2017
Revised manuscript not accepted
Short summary
Short summary
We compare three different instruments used to collect snow depth, i.e., photogrammetric surveys using Unmanned Aerial Systems (UAS), a 3D laser scanning, and manual probing. The relatively high density of manual data (135 pt over 6700 m2, i.e., 2 pt/100 m2) enables to assess the performance of UAS in capturing the marked spatial variability of snow. Results suggest that UAS represent a competitive choice among existing techniques for high-precision, high-resolution remote sensing of snow.
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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