Top layers charaterization of the Martian surface: Permittivity estimation based on geomorphology analysis

Computer Science – Sound

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

4

Scientific paper

Mars Express spacecraft inserted successfully Martian orbit at the end of 2003. On board this probe, a radar instrument called MARSIS (for Mars Advanced Radar for Surface and Ionosphere Sounding) is looking for water inside the first kilometers of Martian crust. To support MARSIS planning and data inversion, Laboratoire de Planétologie de Grenoble developed a MARSIS signal simulator. We show in this paper that MARSIS can also characterize some surface features, in addition to subsurface water and ionosphere sounding. We study a Martian surface region of special interest: Nilokeras Mensae, inside Acidalia Planitia. We discuss the previous geological studies of this region, and show the geomorphologies analyze of this surface area could lead to a simple terrain model. Then, we present a possible data inversion scheme and applying the MARSIS simulator, we test a first radar data inversion. Finally, we will show that complete dielectric characteristics of surface top layers can be retrieved, at least as often Mars Express flies over some layered terrain (at wavelength scale).

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Top layers charaterization of the Martian surface: Permittivity estimation based on geomorphology analysis does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Top layers charaterization of the Martian surface: Permittivity estimation based on geomorphology analysis, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Top layers charaterization of the Martian surface: Permittivity estimation based on geomorphology analysis will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-1608492

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.