1. A Comparison of Radar Polarimetry Data of the Moon From the LRO Mini-RF Instrument and Earth-Based Systems
- Author
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D. B. J. Bussey, Lynn M. Carter, Catherine D. Neish, Bruce A. Campbell, Michael C. Nolan, J. Robert Jensen, and G. Wesley Patterson
- Subjects
Physics ,010504 meteorology & atmospheric sciences ,business.industry ,Polarimetry ,01 natural sciences ,Space-based radar ,law.invention ,Continuous-wave radar ,Bistatic radar ,Optics ,Radar astronomy ,law ,Radar imaging ,0103 physical sciences ,General Earth and Planetary Sciences ,Electrical and Electronic Engineering ,Radar ,business ,010303 astronomy & astrophysics ,Circular polarization ,0105 earth and related environmental sciences ,Remote sensing - Abstract
The Mini-RF radar, launched on the Lunar Reconnaissance Orbiter, imaged the lunar surface using hybrid-polarimetric, transmitting one circular polarization and receiving linear H and V polarizations. Earth-based radar operating at the same frequency has acquired data of the same terrains using circular-polarized transmit waves and sampling circular polarizations. For lunar targets where the viewing geometry is nearly the same, the polarimetry derived from Mini-RF and the earth-based data should be very similar. However, we have discovered that there is a considerable difference in circular polarization ratio (CPR) values between the two data sets. We investigate possible causes for this discrepancy, including cross-talk between channels, sampling, and the ellipticity of the Mini-RF transmit wave. We find that none of these can reproduce the observed CPR differences, though a nonlinear block adaptive quantization function used to compress the data will significantly distort some other polarimetry products. A comparison between earth-based data sets acquired using two different sampling modes (sampling received linear polarizations and sampling circular polarizations) suggests that the CPR differences may be partially due to sampling the data in a different receive polarimetry bases.
- Published
- 2017