In this paper, we propose a novel remote sensing method that is adequate for rainfall rate measurements in real time by means of tomographic processing applied to power attenuation measurements made across the microwave links defined by radio base station networks for mobile communication systems. A description of the tomographic algorithms we developed is presented together with some simulation results. These concern rainfall rate estimation applying such algorithms to the current radio base station arrangement over the city of Florence, Italy, while the rainfall field is simulated through weather radar data.

Radio base network and tomographic processing for real time estimation of the rainfall rate fields / Fabrizio Cuccoli;Luca Facheris;Stefano Gori. - 3:(2009), pp. III-121-III-124. (Intervento presentato al convegno 2009 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2009 tenutosi a Città del Capo nel 12-17 luglio 2009) [10.1109/IGARSS.2009.5418048].

Radio base network and tomographic processing for real time estimation of the rainfall rate fields

CUCCOLI, FABRIZIO;FACHERIS, LUCA;
2009

Abstract

In this paper, we propose a novel remote sensing method that is adequate for rainfall rate measurements in real time by means of tomographic processing applied to power attenuation measurements made across the microwave links defined by radio base station networks for mobile communication systems. A description of the tomographic algorithms we developed is presented together with some simulation results. These concern rainfall rate estimation applying such algorithms to the current radio base station arrangement over the city of Florence, Italy, while the rainfall field is simulated through weather radar data.
2009
2009 IEEE International Geoscience and Remote Sensing Symposium
2009 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2009
Città del Capo
12-17 luglio 2009
Fabrizio Cuccoli;Luca Facheris;Stefano Gori
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/878521
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