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Altimetry Measurements From Planetary Radar Sounders and Application to SHARAD on Mars.

Authors :
Steinbrugge, Gregor
Haynes, Mark S.
Schroeder, Dustin M.
Scanlan, Kirk M.
Stark, Alexander
Young, Duncan A.
Grima, Cyril
Kempf, Scott
Ng, Gregory
Buhl, Dillon
Voigt, Joana R. C.
Roatsch, Thomas
Blankenship, Donald D.
Source :
IEEE Transactions on Geoscience & Remote Sensing. Mar2022, Vol. 60, p1-14. 14p.
Publication Year :
2022

Abstract

Low-frequency radar sounders have the potential to generate altimetric profiles, but the feasibility of utilizing planetary radar sounding data as an alternative to laser altimetry has not been assessed using existing data to date. Therefore, we have developed, implemented, and evaluated an algorithm to process SHAllow RADar sounder (SHARAD) data on Mars (Experiment Data Records as available on the planetary data system) first into altimetry profiles and ultimately into digital terrain models (DTMs). The minimally processed data are pulse compressed, corrected for ionospheric distortion, zero-Doppler filtered, and incoherently summed. We then apply pulse re-tracking techniques adapted from terrestrial ocean altimetry to identify the surface return. From the surface return we compute the time-of-flight and hence the range from the spacecraft to the surface of the planet. The altimetry groundtracks are then co-registrated with Mars Orbiter Laser Altimeter (MOLA) to remove any biases resulting from residual ionospheric effects or timing issues. The altimetric profiles are finally used to create DTMs based on SHARAD data. While the SHARAD altimetry data have coarser inherent resolution than laser altimeters or imaging radars, we demonstrate that radar sounding data is still a viable source for satellite-based altimetry measurements. This is particularly important for future planetary missions not carrying laser altimeters but radar sounders, such as the upcoming Europa Clipper mission. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
01962892
Volume :
60
Database :
Academic Search Index
Journal :
IEEE Transactions on Geoscience & Remote Sensing
Publication Type :
Academic Journal
Accession number :
156372195
Full Text :
https://doi.org/10.1109/TGRS.2021.3134638