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Proceedings Paper

Multi-sensor analysis of Titan surface: SAR and radiometric data synergy for estimating wind speed and liquid optical thickness of hydrocarbon lakes
Author(s): B. Ventura; D. Casarano; C. Notarnicola; F. Posa
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Paper Abstract

In this paper, the Titan lake features detected by active and passive sensors during the Cassini flybys have been analyzed. The first part of the work is dedicated to the analysis of the SAR data. The main aim of this part is to find situations where it could be feasible to infer information about the likely ranges of lake parameters. The approach is mainly divided in the following steps: • Electromagnetic modeling of the lakes surface and comparison with measured radar data; • Introduction of the electromagnetic modeling in the inversion procedure based on a Bayesian framework. The inversion procedure itself is divided into training and test phase. • Analysis of the inferred information and determination of the likely ranges for lake optical thickness and wind speed. In the second part, the analysis have been extended to the radiometer data. The likely ranges of surface parameters e.g. dielectric constant, wind speed and optical thickness derived from the Bayesian inversion have been used as an input to a forward radiative transfer model calculation to obtain simulated brightness temperatures. Comparison of the observed and computed brightness temperatures will allow us to address the consistency of the observations from the two instruments and to determine the coarse characteristics of the surface parameters that lead to consistent results between the two instruments at a global scale. In processing radiometric data two main aspects have to be considered. The correlation between SAR and radiometry is limited by the low radiometry footprint resolution at closest approach, preventing detection and correlation of surface features smaller than 6 km azimuth resolution. In addition, there is a large-scale variability in calibration among the five radiometer beams caused by sidelobes that should be accounted for obtaining relative brightness variations. For these two reasons, the data have been compared only on areas with large extensions such as large liquid surfaces detected during T25 and T30 Cassini flybys and relative surrounding areas. Furthermore only relative brightness temperature, calculated as difference between various areas, have been considered.

Paper Details

Date Published: 10 October 2008
PDF: 9 pages
Proc. SPIE 7109, Image and Signal Processing for Remote Sensing XIV, 71091D (10 October 2008); doi: 10.1117/12.802765
Show Author Affiliations
B. Ventura, Dipartimento Interateneo di Fisica (Italy)
D. Casarano, IRPI, CNR (Italy)
C. Notarnicola, Dipartimento Interateneo di Fisica (Italy)
Institute for Applied Remote Sensing (Italy)
F. Posa, Dipartimento Interateneo di Fisica (Italy)
Politecnico di Bari (Italy)

Published in SPIE Proceedings Vol. 7109:
Image and Signal Processing for Remote Sensing XIV
Lorenzo Bruzzone; Claudia Notarnicola; Francesco Posa, Editor(s)

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