DocumentCode :
1607102
Title :
A simple inversion model for the estimation of subsurface features of Mars poles
Author :
Lauro, S.E. ; Mattei, E. ; Pettinelli, E. ; Orosei, R. ; Soldovieri, F.
Author_Institution :
Dept. of Phys. E. Amaldi, Univ. of Roma Tre, Rome, Italy
fYear :
2010
Firstpage :
1
Lastpage :
4
Abstract :
Radar observations from Marsis have demonstrated that Martian Polar Layered Deposits (PLD´s) are very transparent to radar waves. Thus, the sounder is able to detect the presence of subsurface reflections in the polar regions below the ice-rich layered deposits. The analysis of radar data makes it possible to gain information about some physical features of Mars surface. In this work an electromagnetic inversion model is used to characterize the shallower structures. This approach assumes that structure consists of layers with parallel plane interfaces and that the electromagnetic properties of the first layer are known a priori. Under these assumptions it is possible to estimate the dielectric permittivity of the subsurface structure. The inversion method has been tested in an area of South Pole and reconstruction results are shown.
Keywords :
Mars; planetary remote sensing; planetary surfaces; radar astronomy; radioastronomical techniques; spaceborne radar; Mars poles; Martian Polar Layered Deposits; Martian exploration; South Pole; dielectric permittivity; electromagnetic inversion model; ice-rich layered deposits; radar data analysis; radar observations; radar waves; subsurface features; Acoustic reflection; Data analysis; Dielectrics; Electromagnetic modeling; Electromagnetic reflection; Information analysis; Mars; Permittivity; Radar detection; Testing; Inversion method; Martian exploration; Radar data analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Ground Penetrating Radar (GPR), 2010 13th International Conference on
Conference_Location :
Lecce
Print_ISBN :
978-1-4244-4604-9
Electronic_ISBN :
978-1-4244-4605-6
Type :
conf
DOI :
10.1109/ICGPR.2010.5550229
Filename :
5550229
Link To Document :
بازگشت