A Bayesian approach to retrieve surface temperatures

Details A Bayesian approach to retrieve surface temperatures A Bayesian approach to retrieve surface temperatures

Oct 2011

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2011epsc.conf..895t&link_type=abstract

EPSC-DPS Joint Meeting 2011, held 2-7 October 2011 in Nantes, France. http://meetings.copernicus.org/epsc-dps2011, p.895

Physics

Scientific paper

The inference of surface temperature of planetary targets has been a major scientific objective of infrared instrumentation since its first usage in the spaceborn platforms. Nonetheless, this study requires a number of assumptions, for the complexity of radiative transfer involved. We have developed a Bayesian approach to nonlinear inversion for mapping surface temperature of Vesta by using the Dawn Visual and Infrared Mapping Spectrometer (VIR). A Bayesian approach relies on the knowledge of the general properties of the physical system before it is measured: in our case, this translates into knowledge of the target body in terms of composition and expected range of temperatures. Upon selection of initial guesses for the temperature and the spectral emissivity, combined with the standard deviation of these unknown parameters, the method iteratively and simultaneously computes surface temperature and spectral emissivity from the measured radiance. We successfully implemented this method to data of asteroid 2867 Steins and 21 Lutetia returned by the Visible and Infrared Thermal Imaging Spectrometer (VIRTIS) onboard Rosetta. Knowledge of the surface temperature allows one to retrieve information on surface properties such as thermal conductivity, porosity, and thermal inertia.

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