- Article
(15559 KB) - Metadata XML
- November 21, 2024
- |
- Home
- |
- Sitemap
- |
- The ISPRS Foundation
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-1-2023-41-2023
© 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-1-2023-41-2023
© 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
WATER RESERVOIRS MONITORING THROUGH GOOGLE EARTH ENGINE: APPLICATION TO SENTINEL AND LANDSAT IMAGERY
F. Bocchino
Geodesy and Geomatics Division, DICEA, Sapienza University of Rome, Rome, Italy
R. Ravanelli
Geodesy and Geomatics Division, DICEA, Sapienza University of Rome, Rome, Italy
V. Belloni
Geodesy and Geomatics Division, DICEA, Sapienza University of Rome, Rome, Italy
P. Mazzucchelli
Aresys S.r.l., Italy
M. Crespi
Geodesy and Geomatics Division, DICEA, Sapienza University of Rome, Rome, Italy
Sapienza School for Advanced Studies, Sapienza University of Rome, Rome, Italy
Related authors
No articles found.
M. Russo, R. Ravanelli, A. Pini, G. Flenghi, L. Martelli, P. Monti, and M. Crespi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-W4-2024, 373–380, https://doi.org/10.5194/isprs-archives-XLVIII-2-W4-2024-373-2024, https://doi.org/10.5194/isprs-archives-XLVIII-2-W4-2024-373-2024, 2024
A. Hamoudzadeh, R. Ravanelli, and M. Crespi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-M-1-2023, 131–136, https://doi.org/10.5194/isprs-archives-XLVIII-M-1-2023-131-2023, https://doi.org/10.5194/isprs-archives-XLVIII-M-1-2023-131-2023, 2023
V. Coletta, V. Marsocci, and R. Ravanelli
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2022, 1349–1354, https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-1349-2022, https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-1349-2022, 2022
V. Belloni, D. Fugazza, and M. Di Rita
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2022, 367–373, https://doi.org/10.5194/isprs-archives-XLIII-B1-2022-367-2022, https://doi.org/10.5194/isprs-archives-XLIII-B1-2022-367-2022, 2022
V. Belloni, A. Sjölander, R. Ravanelli, M. Crespi, and A. Nascetti
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B4-2020, 741–745, https://doi.org/10.5194/isprs-archives-XLIII-B4-2020-741-2020, https://doi.org/10.5194/isprs-archives-XLIII-B4-2020-741-2020, 2020
M. Di Rita, D. Fugazza, V. Belloni, G. Diolaiuti, M. Scaioni, and M. Crespi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2020, 1041–1048, https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-1041-2020, https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-1041-2020, 2020
M. A. Brovelli, P. Boccardo, G. Bordogna, A. Pepe, M. Crespi, M. Munafò, and F. Pirotti
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4-W14, 23–30, https://doi.org/10.5194/isprs-archives-XLII-4-W14-23-2019, https://doi.org/10.5194/isprs-archives-XLII-4-W14-23-2019, 2019
F. Capocchiano and R. Ravanelli
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 769–776, https://doi.org/10.5194/isprs-archives-XLII-2-W13-769-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W13-769-2019, 2019
L. Lastilla, R. Ravanelli, F. Fratarcangeli, M. Di Rita, A. Nascetti, and M. Crespi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 67–72, https://doi.org/10.5194/isprs-archives-XLII-2-W13-67-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W13-67-2019, 2019
L. Lastilla, R. Ravanelli, and S. Ferrara
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W11, 699–706, https://doi.org/10.5194/isprs-archives-XLII-2-W11-699-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W11-699-2019, 2019
R. Ravanelli and M. Crespi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4, 515–521, https://doi.org/10.5194/isprs-archives-XLII-4-515-2018, https://doi.org/10.5194/isprs-archives-XLII-4-515-2018, 2018
V. Belloni, R. Ravanelli, A. Nascetti, M. Di Rita, D. Mattei, and M. Crespi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 91–95, https://doi.org/10.5194/isprs-archives-XLII-2-91-2018, https://doi.org/10.5194/isprs-archives-XLII-2-91-2018, 2018
M. Di Tullio, F. Nocchi, A. Camplani, N. Emanuelli, A. Nascetti, and M. Crespi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3, 289–294, https://doi.org/10.5194/isprs-archives-XLII-3-289-2018, https://doi.org/10.5194/isprs-archives-XLII-3-289-2018, 2018
R. Ravanelli, A. Nascetti, R. V. Cirigliano, C. Di Rico, P. Monti, and M. Crespi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3, 1467–1472, https://doi.org/10.5194/isprs-archives-XLII-3-1467-2018, https://doi.org/10.5194/isprs-archives-XLII-3-1467-2018, 2018
Monica Campanelli, Alessandra Mascitelli, Paolo Sanò, Henri Diémoz, Victor Estellés, Stefano Federico, Anna Maria Iannarelli, Francesca Fratarcangeli, Augusto Mazzoni, Eugenio Realini, Mattia Crespi, Olivier Bock, Jose A. Martínez-Lozano, and Stefano Dietrich
Atmos. Meas. Tech., 11, 81–94, https://doi.org/10.5194/amt-11-81-2018, https://doi.org/10.5194/amt-11-81-2018, 2018
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.
R. Ravanelli, L. Lastilla, and M. Crespi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W8, 209–212, https://doi.org/10.5194/isprs-archives-XLII-2-W8-209-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W8-209-2017, 2017
F. Capocchiano, R. Ravanelli, and M. Crespi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W8, 75–81, https://doi.org/10.5194/isprs-archives-XLII-2-W8-75-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W8-75-2017, 2017
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
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.
Useful Links
Useful External Links
Our Contact
c/o
Leibniz University Hannover
Institute of Photogrammetry and GeoInformation
Nienburger Str. 1
D-30167 Hannover
GERMANY
Email: isprs-sg@isprs.org