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The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume XLVIII-2/W4-2024
https://doi.org/10.5194/isprs-archives-XLVIII-2-W4-2024-373-2024
© Author(s) 2024. 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-2-W4-2024-373-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
14 Feb 2024
| 14 Feb 2024
MULTIMEDIA PHOTOGRAMMETRY 2.0. A FIRST STEP FOR UNDERWATER CULTURAL HERITAGE APPLICATION
History, Representation and Restoration Dept., Sapienza University of Rome, Italy
R. Ravanelli
Civil, Constructional and Environmental Engineering Dept., Sapienza University of Rome, Italy
A. Pini
Civil, Constructional and Environmental Engineering Dept., Sapienza University of Rome, Italy
G. Flenghi
History, Representation and Restoration Dept., Sapienza University of Rome, Italy
L. Martelli
History, Representation and Restoration Dept., Sapienza University of Rome, Italy
P. Monti
Civil, Constructional and Environmental Engineering Dept., Sapienza University of Rome, Italy
M. Crespi
Civil, Constructional and Environmental Engineering Dept., Sapienza University of Rome, Italy
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Short summary
Short summary
The estimation of precipitable water vapour (W) content is of great interest in both meteorological and climatological studies. Sun photometers allowed the development of W automatic estimations with high temporal resolution. A new methodology, based on the hypothesis that the calibration parameters characterizing the atmospheric transmittance are dependent on vertical profiles of temperature, air pressure and moisture typical of each measurement site, has been presented providing good results.
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F. Capocchiano, R. Ravanelli, and M. Crespi
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R. Ravanelli, A. Nascetti, M. Di Rita, V. Belloni, D. Mattei, N. Nisticó, and M. Crespi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4-W2, 139–145, https://doi.org/10.5194/isprs-archives-XLII-4-W2-139-2017, https://doi.org/10.5194/isprs-archives-XLII-4-W2-139-2017, 2017
A. Nascetti, M. Di Rita, R. Ravanelli, M. Amicuzi, S. Esposito, and M. Crespi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-1-W1, 627–633, https://doi.org/10.5194/isprs-archives-XLII-1-W1-627-2017, https://doi.org/10.5194/isprs-archives-XLII-1-W1-627-2017, 2017
M. Di Rita, A. Nascetti, and M. Crespi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-1-W1, 635–638, https://doi.org/10.5194/isprs-archives-XLII-1-W1-635-2017, https://doi.org/10.5194/isprs-archives-XLII-1-W1-635-2017, 2017
R. Ravanelli, A. Nascetti, M. Di Rita, L. Nigro, D. Montanari, F. Spagnoli, and M. Crespi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-5-W1, 589–592, https://doi.org/10.5194/isprs-archives-XLII-5-W1-589-2017, https://doi.org/10.5194/isprs-archives-XLII-5-W1-589-2017, 2017
A. Nascetti, F. Nocchi, A. Camplani, C. Di Rico, and M. Crespi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B7, 783–788, https://doi.org/10.5194/isprs-archives-XLI-B7-783-2016, https://doi.org/10.5194/isprs-archives-XLI-B7-783-2016, 2016
F. Fratarcangeli, A. Nascetti, P. Capaldo, A. Mazzoni, and M. Crespi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B7, 815–820, https://doi.org/10.5194/isprs-archives-XLI-B7-815-2016, https://doi.org/10.5194/isprs-archives-XLI-B7-815-2016, 2016
M. Di Rita, A. Nascetti, F. Fratarcangeli, and M. Crespi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B7, 821–825, https://doi.org/10.5194/isprs-archives-XLI-B7-821-2016, https://doi.org/10.5194/isprs-archives-XLI-B7-821-2016, 2016
R. Ravanelli, A. Nascetti, and M. Crespi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B5, 699–702, https://doi.org/10.5194/isprs-archives-XLI-B5-699-2016, https://doi.org/10.5194/isprs-archives-XLI-B5-699-2016, 2016
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