2013
DOI: 10.1002/jgre.20158
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Photometric properties of Mars soils analogs

Abstract: [1] We have measured the bidirectional reflectance of analogs of dry, wet, and frozen Martian soils over a wide range of phase angles in the visible spectral range. All samples were produced from two geologic samples: the standard JSC Mars-1 soil simulant and Hawaiian basaltic sand. In a first step, experiments were conducted with the dry samples to investigate the effects of surface texture. Comparisons with results independently obtained by different teams with similar samples showed a satisfying reproducibi… Show more

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Cited by 45 publications
(35 citation statements)
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“…Beck et al (2012) measured the bidirectional reflectance phase function of several meteorite samples in the VIS spectral range. Pommerol et al (2013) measured the bidirectional reflectance of Martian analogues in dry, wet, and frozen conditions over a wide range of phase angles in the visible spectral range. Visible/near-infrared reflectance measurements of lunar soil simulants, Apollo soils, and Martian analogue samples as functions of illumination and emission angles were described in Johnson et al (2013).…”
Section: Introductionmentioning
confidence: 99%
“…Beck et al (2012) measured the bidirectional reflectance phase function of several meteorite samples in the VIS spectral range. Pommerol et al (2013) measured the bidirectional reflectance of Martian analogues in dry, wet, and frozen conditions over a wide range of phase angles in the visible spectral range. Visible/near-infrared reflectance measurements of lunar soil simulants, Apollo soils, and Martian analogue samples as functions of illumination and emission angles were described in Johnson et al (2013).…”
Section: Introductionmentioning
confidence: 99%
“…It characterizes the angular distribution of energy for an average particle. We used the empirical 2-term Henyey-Greenstein function (Henyey and Greenstein, 1941) (hereafter referred to as HG2) for studying planetary surfaces (Cord et al, 2003;Jehl et al, 2008;Johnson et al, 2006b,a;Souchon et al, 2011;Beck et al, 2012;Pommerol et al, 2013):…”
Section: Direct Model: the Hapke's Photometric Modelmentioning
confidence: 99%
“…Please note that this method is somehow similar to genetic algorithms (Cord et al, 2003) and Particle Swarm Optimization (Beck et al, 2012;Pommerol et al, 2013), already used to solve this inverse problem empirically. Nevertheless, those previous methods, although much faster, are only heuristic since no convergence proof of the algorithms have been proposed.…”
Section: Monte Carlo Markov Chain (Mcmc) To Sample the Inverse Problemmentioning
confidence: 99%
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