DocumentCode
2664907
Title
Cassini RADAR: investigation of titan’s surface parameters by means of Bayesian inversion technique and gravity-capillary waves modelling of liquid hydrocarbons surfaces
Author
Bartolomeo, Ventura ; Domenico, Casarano ; Claudia, Notarnicola ; Francesco, Posa
Author_Institution
Dipt. Interateneo di Fisica, Bari
fYear
2007
fDate
23-28 July 2007
Firstpage
706
Lastpage
709
Abstract
During the first two years of the Cassini mission, a great amount of data dealing with Titan\´s surface has been collected. In particular, the analysis derived from the SAR imagery reflects the complex Titan\´s surface morphology. In fact, in the different Cassini radar images a certain number of areas with peculiar features has been identified, such as: dark and bright areas (Ta, T3), periodic structure ("sand dunes") and, above all, hydrocarbon lakes [2],[11]. The proof for the presence of hydrocarbons lakes on Titan has been obtained during the T16, the radar pass performed on Titan by the Cassini spacecraft on 22 July 2006 [12]. In this paper, the investigation of Titan\´s surface parameters (physical and morphological) has been carried out by the means of Bayesian inversion technique, and simulations of the wave motion for the hypothesized hydrocarbons liquid surfaces has been performed.
Keywords
Bayes methods; Saturn; astrophysical fluid dynamics; capillary waves; gravity waves; inverse problems; organic compounds; planetary surfaces; radioastronomical techniques; remote sensing by radar; space vehicles; synthetic aperture radar; AD 2006 07 22; Bayesian inversion technique; Cassini mission; Cassini radar; SAR imagery; Titan surface morphological parameters; Titan surface morphology; Titan surface parameters; Titan surface physical parameters; gravity capillary waves modelling; liquid hydrocarbon surfaces; Bayesian methods; Hydrocarbons; Image analysis; Lakes; Periodic structures; Radar imaging; Space vehicles; Spaceborne radar; Surface morphology; Surface waves; Cassini; Titan; lakes;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 2007. IGARSS 2007. IEEE International
Conference_Location
Barcelona
Print_ISBN
978-1-4244-1211-2
Electronic_ISBN
978-1-4244-1212-9
Type
conf
DOI
10.1109/IGARSS.2007.4422894
Filename
4422894
Link To Document