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Radar Properties and Block Abundance of
       Impact Craters on the Moon


          Maria Arias de Saavedra Benitez
                     Duke University

         LPI Visiting Summer Undergraduate Student


         Advisors: P.D. Spudis and S.M. Baloga
Project Goals

•   Studying the features of a number of craters with an anomalous
    radar signal identified by previous work, creating a detailed
    database

•   Contribute to our understanding of how block fields are created in
    the Moon and how they evolve

•   Determine how these craters differ from polar, permanently
    shadowed craters with similar radar signal but which are
    candidates for ice
Objectives
•   Understand the mechanisms of diffuse backscatter in radar
    images of lunar craters

•   Determine the density of decimeter-scale (~10 cm) rocks in
    relation to impact craters

•   Determine how such rock densities correlate (or not) with Mini-
    RF measurements of circular polarization ratio

•   Use these results to distinguish high-CPR ice deposits from
    blocky impact ejecta in radar images of the poles
Data Used

•   LRO-MRF (S band λ=12.6 cm, 30 m/pixel, 48° incidence) for
    measuring CPR



•   The Lunar Reconnaissance Orbiter Narrow Angle Camera
    images(0.5-1.6 m/pixel) for counting blocks
Mini-RF
                     Imaging Radar on Chandrayaan-1 and LRO

Mini-RF is a two frequency (S-
   band (12.6 cm) and X-band
   (4.5 cm) imaging radar with
   hybrid polarity architecture
Map both polar regions at 30
   m/pixel, 48° incidence
 Transmit LCP, receive H and V
   linear, coherently
Use Stokes parameters and
   derived “daughter” products to
   describe backscattered field
Map locations and extent of
   anomalous radar reflectivity
Cross-correlate with other data
   sets     (topography,    thermal,
   neutron)
Circular Polarization Ratio (CPR)

Ratio of received power in both
    right and left senses
Normal rocky planet surfaces =
    polarization inversion (receive
    opposite sense from that
    transmitted)
“Same sense” received indicates
    something unusual:
      double- or even-multiple-
          bounce reflections
      Volume scattering from RF-
          transparent material
High CPR (enhanced “same
    sense” reception) is common
    for fresh, rough (at wavelength
    scale) targets and water ice
Radar Data Collection Procedure


• Identify and collect Mini-RF images from
  Planetary Database System (PDS)
• Convert images to raw files via USGS “ISIS”
  imaging software
• Analyze images with NIH “ImageJ”
• Record mean and σ for each distribution
CPR Values:
       Results for Gardner crater




 All                           Floor




Wall                          Exterior
Rock Count Data Collection Procedure

•   LROC and NAC images obtained from Quickmap (LROC image
    browser)

•   Images orthographic map projected with ISIS


•   Analyze with feature function of ArcGIS, taking long dimensions
    of blocks and counting at least ~200 rocks per crater.

•   Areas coincide with CPR areas as closely as possible
Gardner Crater Rock Counting
Block abundance in Gardner




Pixel Height: 0.88m; Pixel Width: 0.81m
Data Processing (ongoing)




• Cumulative rock count plotted as a function of diameter
• Data trimmed where rollover due to resolution occurs
So far, identified 3 classes
of rock distributions
(post-impact processes?)

Departure from power law
Ongoing Research

• Modeling fits for extrapolation to smaller rock
  sizes (wavelength-scale)

• Correlation of decimeter-scale surface
  roughness with CPR values
Future Results useful for:

• Understanding uneven processes of erosion
  (high block abundance inside crater, low in the
  exterior)

• Understanding radar properties of possible ice
  deposits in permanently shadowed craters in the
  poles

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Radar Properties and Block Abundance of Lunar Impact Craters

  • 1. Radar Properties and Block Abundance of Impact Craters on the Moon Maria Arias de Saavedra Benitez Duke University LPI Visiting Summer Undergraduate Student Advisors: P.D. Spudis and S.M. Baloga
  • 2. Project Goals • Studying the features of a number of craters with an anomalous radar signal identified by previous work, creating a detailed database • Contribute to our understanding of how block fields are created in the Moon and how they evolve • Determine how these craters differ from polar, permanently shadowed craters with similar radar signal but which are candidates for ice
  • 3. Objectives • Understand the mechanisms of diffuse backscatter in radar images of lunar craters • Determine the density of decimeter-scale (~10 cm) rocks in relation to impact craters • Determine how such rock densities correlate (or not) with Mini- RF measurements of circular polarization ratio • Use these results to distinguish high-CPR ice deposits from blocky impact ejecta in radar images of the poles
  • 4. Data Used • LRO-MRF (S band λ=12.6 cm, 30 m/pixel, 48° incidence) for measuring CPR • The Lunar Reconnaissance Orbiter Narrow Angle Camera images(0.5-1.6 m/pixel) for counting blocks
  • 5. Mini-RF Imaging Radar on Chandrayaan-1 and LRO Mini-RF is a two frequency (S- band (12.6 cm) and X-band (4.5 cm) imaging radar with hybrid polarity architecture Map both polar regions at 30 m/pixel, 48° incidence Transmit LCP, receive H and V linear, coherently Use Stokes parameters and derived “daughter” products to describe backscattered field Map locations and extent of anomalous radar reflectivity Cross-correlate with other data sets (topography, thermal, neutron)
  • 6. Circular Polarization Ratio (CPR) Ratio of received power in both right and left senses Normal rocky planet surfaces = polarization inversion (receive opposite sense from that transmitted) “Same sense” received indicates something unusual: double- or even-multiple- bounce reflections Volume scattering from RF- transparent material High CPR (enhanced “same sense” reception) is common for fresh, rough (at wavelength scale) targets and water ice
  • 7. Radar Data Collection Procedure • Identify and collect Mini-RF images from Planetary Database System (PDS) • Convert images to raw files via USGS “ISIS” imaging software • Analyze images with NIH “ImageJ” • Record mean and σ for each distribution
  • 8. CPR Values: Results for Gardner crater All Floor Wall Exterior
  • 9. Rock Count Data Collection Procedure • LROC and NAC images obtained from Quickmap (LROC image browser) • Images orthographic map projected with ISIS • Analyze with feature function of ArcGIS, taking long dimensions of blocks and counting at least ~200 rocks per crater. • Areas coincide with CPR areas as closely as possible
  • 11. Block abundance in Gardner Pixel Height: 0.88m; Pixel Width: 0.81m
  • 12. Data Processing (ongoing) • Cumulative rock count plotted as a function of diameter • Data trimmed where rollover due to resolution occurs
  • 13. So far, identified 3 classes of rock distributions (post-impact processes?) Departure from power law
  • 14. Ongoing Research • Modeling fits for extrapolation to smaller rock sizes (wavelength-scale) • Correlation of decimeter-scale surface roughness with CPR values
  • 15. Future Results useful for: • Understanding uneven processes of erosion (high block abundance inside crater, low in the exterior) • Understanding radar properties of possible ice deposits in permanently shadowed craters in the poles