Synthetic Aperture Radar (SAR) systems are effective tools for many remote sensing applications. In particular, the modeling of the backscatter coefficient under various conditions is of interest in many scientific fields. Seasonal changes can have a considerable effect on the values of the reflectivity of a target, therefore these variations should be estimated to improve the accuracy of the models. In this paper a statistical analysis of radar backscatter coefficient seasonal variations using C-band SAR data is presented
Assessment of seasonal variations of radar backscattering coefficient using sentinel-1 data / Guccione, Pietro; Lombardi, Angela; Giordano, Rossella. - ELETTRONICO. - (2016), pp. 3402-3405. (Intervento presentato al convegno 36th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016 tenutosi a Beijing, China nel July 10-15, 2016) [10.1109/IGARSS.2016.7729879].
Assessment of seasonal variations of radar backscattering coefficient using sentinel-1 data
GUCCIONE, Pietro;Lombardi, Angela;Giordano, Rossella
2016-01-01
Abstract
Synthetic Aperture Radar (SAR) systems are effective tools for many remote sensing applications. In particular, the modeling of the backscatter coefficient under various conditions is of interest in many scientific fields. Seasonal changes can have a considerable effect on the values of the reflectivity of a target, therefore these variations should be estimated to improve the accuracy of the models. In this paper a statistical analysis of radar backscatter coefficient seasonal variations using C-band SAR data is presentedI documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
