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 presented
2016
36th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016
978-1-5090-3332-4
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].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11589/83892
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