The search of water in Mars using radars Toms Ahumada Motivation - - PowerPoint PPT Presentation

the search of water in mars using radars
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The search of water in Mars using radars Toms Ahumada Motivation - - PowerPoint PPT Presentation

The search of water in Mars using radars Toms Ahumada Motivation First publication Following publications How to do it? ESA The Satellite Mars Explorer MARSIS Radar specifics Radargram Diagram to explain


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SLIDE 1

The search of water in Mars using radars

Tomás Ahumada

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SLIDE 2

Motivation

  • First publication
  • Following

publications

  • How to do it?
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SLIDE 3

The Satellite

  • Mars Explorer
  • MARSIS
  • Radar specifics

ESA

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SLIDE 4

Radargram

  • Diagram to

explain

  • Permittivity
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SLIDE 5

The data

  • Data downloaded
  • Signal to Noise
  • Location of the

footprints

  • Radargrams
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SLIDE 6

Radar Reduction sequence

Step 1: Decompress the level 1A data. Step 2: Transform the data to power expresses in the units of dBm. Step 3: Convert power to the antenna by correcting for system gain. The system gain is frequency dependent and data are corrected for variations in system gain over frequency via a lookup table Step 4: Divide by the bandwidth (10.9KHz) and antenna length squared; (20m2)

Raw Telemetry data Decompress + express in dBm Power - Gain Divide by bandwidth and antenna length squared V2/m2/Hz

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SLIDE 7

Methods

  • Image analysis
  • Threshold

detection per line

  • Detection

algorithm

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SLIDE 8

Methods

  • Image analysis
  • Threshold

detection per line

  • Detection

algorithm

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SLIDE 9

Methods

  • Image analysis
  • Threshold

detection per line

  • Detection

algorithm

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SLIDE 10

Methods

  • Image analysis
  • Threshold

detection per line

  • Detection

algorithm

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SLIDE 11

Methods

  • Image analysis
  • Threshold

detection per line

  • Detection

algorithm

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SLIDE 12

Results

  • Power spectra of

layer features

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SLIDE 13

Future work

  • Getting the

permittivity

  • Spatial

comparison

For the surface (s) For the layer underground

Porcello et al. 1974

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SLIDE 14

Conclusions

  • SNR constraints over

MARSIS data

  • Data management
  • Determination of the

composition of subsurface layers is based on the estimate

  • f their dielectric

properties.

Carter et al. 2009