2011
DOI: 10.1029/2010je003751
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Thermal removal from near-infrared imaging spectroscopy data of the Moon

Abstract: [1] In the near-infrared from about 2 mm to beyond 3 mm, the light from the Moon is a combination of reflected sunlight and emitted thermal emission. There are multiple complexities in separating the two signals, including knowledge of the local solar incidence angle due to topography, phase angle dependencies, emissivity, and instrument calibration. Thermal emission adds to apparent reflectance, and because the emission's contribution increases over the reflected sunlight with increasing wavelength, absorptio… Show more

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Cited by 118 publications
(136 citation statements)
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“…Consequently, inference of surface temperature from IR spectra is not possible without imposing some a priori constraints on the expected values of solution. A variety of approaches have been adopted in the past to cope with this condition (e.g., Clark, 1979;Clark et al, 2011). In most cases, the emissivity and the surface temperature are not retrieved simultaneously.…”
Section: Appendix a Virtis Surface Temperature Processing Algorithmmentioning
confidence: 99%
“…Consequently, inference of surface temperature from IR spectra is not possible without imposing some a priori constraints on the expected values of solution. A variety of approaches have been adopted in the past to cope with this condition (e.g., Clark, 1979;Clark et al, 2011). In most cases, the emissivity and the surface temperature are not retrieved simultaneously.…”
Section: Appendix a Virtis Surface Temperature Processing Algorithmmentioning
confidence: 99%
“…Beyond 2 lm, the spectrum of the Moon is composed of light reflected from the surface plus thermal emission. The thermal emission is removed using the algorithm developed by Clark et al (2011) for the M 3 observations. The improved calibration and the thermal correction are used prior to defining an accurate photometric correction for all M 3 observations.…”
Section: Introductionmentioning
confidence: 99%
“…All of the VNIR spectra used in this study were collected from the Moon Mineralogy Mapper (M 3 ) dataset Clark et al, 2011;Green et al, 2011;Besse et al, 2013). M 3 was a VNIR imaging spectrometer aboard the Chandrayaan-1 spacecraft that collected mineralogic information about the Moon's surface in 85 bands, from approximately 0.4-3.0 μm, at a spatial resolution of 140-280 m/pixel, depending on the spacecraft altitude (Pieters et al, 2009;Green et al, 2011).…”
Section: Collection Of Vnir Spectramentioning
confidence: 99%