DocumentCode :
2107074
Title :
Case-study on the use of microwave sensors for cloud detection over Tuscany
Author :
Mazzetti, P. ; Nativi, S. ; Giuli, D.
Author_Institution :
PIN Scrl, Univ. of Florence, Prato, Italy
Volume :
3
fYear :
2001
fDate :
2001
Firstpage :
1055
Abstract :
The present work empirically deals with the challenging problem of the integration of data obtained from passive and active microwave sources, in order to develop procedures to suitably calibrate and validate satellite-based passive microwave rainfall algorithms by means of multiparameter radar information over midlatitude areas. In particular it addresses the problems due to the time interval between radar and radiometer acquisitions and to the different view geometry of the sensors. A statistical image processing technique is utilised in order to navigate data, reducing effects due to cloud shape change and motion during the time lag. Results show that time lag and geometry differences effects reduction can significantly improve correlation allowing to better investigate the inner cloud structure
Keywords :
atmospheric techniques; clouds; geophysical signal processing; image processing; meteorological radar; microwave measurement; radar detection; radar imaging; radiometry; rain; remote sensing by radar; sensor fusion; spaceborne radar; Tuscany; active microwave sources; cloud detection; cloud shape change; geometry differences effects; inner cloud structure; microwave sensors; midlatitude areas; multiparameter radar information; passive microwave sources; satellite-based rainfall algorithms; statistical image processing technique; view geometry; Clouds; Geometry; Image processing; Microwave radiometry; Microwave sensors; Passive radar; Radar detection; Radar imaging; Radio navigation; Satellite navigation systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2001. IGARSS '01. IEEE 2001 International
Conference_Location :
Sydney, NSW
Print_ISBN :
0-7803-7031-7
Type :
conf
DOI :
10.1109/IGARSS.2001.976744
Filename :
976744
Link To Document :
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