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The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume XLII-1/W1
https://doi.org/10.5194/isprs-archives-XLII-1-W1-627-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/isprs-archives-XLII-1-W1-627-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
31 May 2017
FREE GLOBAL DSM ASSESSMENT ON LARGE SCALE AREAS EXPLOITING THE POTENTIALITIES OF THE INNOVATIVE GOOGLE EARTH ENGINE PLATFORM
A. Nascetti
Geodesy and Geomatics Division, DICEA, University of Rome “La Sapienza”, Italy
M. Di Rita
Geodesy and Geomatics Division, DICEA, University of Rome “La Sapienza”, Italy
R. Ravanelli
Geodesy and Geomatics Division, DICEA, University of Rome “La Sapienza”, Italy
M. Amicuzi
Geodesy and Geomatics Division, DICEA, University of Rome “La Sapienza”, Italy
S. Esposito
Geodesy and Geomatics Division, DICEA, University of Rome “La Sapienza”, Italy
M. Crespi
Geodesy and Geomatics Division, DICEA, University of Rome “La Sapienza”, 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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