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The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume XLVIII-M-1-2023
https://doi.org/10.5194/isprs-archives-XLVIII-M-1-2023-131-2023
© 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-M-1-2023-131-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
21 Apr 2023
| 21 Apr 2023
GEDI DATA WITHIN GOOGLE EARTH ENGINE: PRELIMINARY ANALYSIS OF A RESOURCE FOR INLAND SURFACE WATER MONITORING
A. Hamoudzadeh
Sapienza University of Rome, DICEA, Geodesy and Geomatics Division, Italy
R. Ravanelli
Sapienza University of Rome, DICEA, Geodesy and Geomatics Division, Italy
M. Crespi
Sapienza University of Rome, DICEA, Geodesy and Geomatics Division, Italy
Sapienza School for Advanced Studies, 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
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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
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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
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