A visible and near-infrared photometric correction for Moon Mineralogy Mapper (M3)

Besse, S.; Sunshine, J. M.; Staid, M.; Boardman, Joseph W.; Pieters, C. M.; Guasqui, P.; Malaret, E.; McLaughlin, S. A.; Yokota, Yasuhiro; Li, J.-Y.

doi:10.1016/j.icarus.2012.10.036

Cited by 99 publications

(91 citation statements)

References 24 publications

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“…The inferred parameters are derived from all available co-registered images and do not show signicant inuence of the local surface topography as shown by a comparison to the reference method by Besse et al (2013a).…”

Section: Discussionmentioning

confidence: 99%

“…by decreasing the order of the polynomial, the accuracy of the model decreases as well. Furthermore, the estimated parameters of the phase function are often global or semi-global estimates, such as in McEwen et al (1998), Hicks et al (2011) and Besse et al (2013a), which contradicts the necessity for parameter estimation on small spatial scales. Furthermore, McEwen (1991) states that the Hapke model provides accurate ts to planetary surfaces and relates all regarded photometric functions to the model by Hapke (1981Hapke ( , 1984Hapke ( , 1986.…”

Section: Commonly Used Modelsmentioning

confidence: 99%

“…To compensate topographic artefacts, the local incidence and emittance angles were computed based on the gridded LOLA DEM. Later, it became known that the sensor temperature had a large inuence on the measured reectanceBesse et al, 2013a). The empirical correction approach is describedin the technical note describing the software interface of the M 3 data (Lundeen et al, 2011).…”

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confidence: 99%

“…Pieters et al, 2013;Lundeen et al, 2011;Besse et al, 2013a). A correction based on an area observed under six dierent sensor temperature conditions has been presented byLundeen et al (2011) and applied to the published v3 version of the M 3 dataset.…”

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confidence: 99%

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A normalisation framework for (hyper-)spectral imagery

Grumpe

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Wöhler

2015

Planetary and Space Science

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Section: Discussionmentioning

confidence: 99%

Section: Commonly Used Modelsmentioning

confidence: 99%

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confidence: 99%

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confidence: 99%

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A normalisation framework for (hyper-)spectral imagery

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“…The 3um absorption was present only at higher latitudes while the 2.8um absorption, although less intense, was present even at the equator. Complicating the interpretation of the signal were the effects of surface geometry and thermal emission corrections [Besse et al, 2013;Clark et al, 2011]. ].…”

Section: Astrophysical Motivationmentioning

confidence: 99%

The Role of Solar Wind in the Formation of Hydroxyl on Airless Silicate Bodies in Space

Schaible

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Dedicated to all individuals who work for the betterment of themselves, their world, and their connection with the oneness that binds us all. To all my family and friends that have seen my needs and helped me to the position I am in, thank you. AbstractStudies of the interaction of solar radiation with the surfaces of moons, asteroids and comets can provide fundamental information about the early history of our solar system and help elucidate the ways in which such systems evolve. Airless bodies in space such as the Moon, asteroids and interplanetary dust particles are subject to bombardment from energetic solar wind electrons and ions, ultraviolet photons, micrometeorites and cosmic rays. This process is known as space weathering and the cumulative effect of the radiation modifies the chemical and physical nature of the ices and minerals that make up such surfaces. The work presented here investigates the interaction of solar wind hydrogen and helium with analog minerals and lunar soil using infrared spectroscopy (FTIR), mass spectrometry (SIMS), and optical photometry. Experiments were performed under Ultra High Vacuum (UHV) pressures and over a temperature range of 15 K to 400 K to simulate lunar surface conditions, and radiation was performed using a mass analyzed ion accelerator that allowed samples to be irradiated with specific ions at energies in the range of the solar wind.

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Characterization of melt and ejecta deposits of Kepler crater from remote sensing data

2014

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We used Moon Mineralogy Mapper (M3), Arecibo and Mini‐RF radar, and Diviner radiometer data with Lunar Reconnaissance Orbiter (LRO) Camera and Kaguya Terrain Camera images to characterize the target, ejecta, and impact melt‐rich lithologies in and around lunar central peak crater Kepler. M3 data indicate the impact melt rocks of crater floor to be high‐Ca pyroxene dominated, distinct from the low‐Ca pyroxene‐dominated crater wall. The central uplift is high‐Ca pyroxene dominated, and has higher albedo. These observations are consistent with thin mare basalts underlain by noritic Imbrium ejecta, underlain by gabbroic crustal material. M3 data reveal an enigmatic, splash‐like feature of melt‐rich material on the southeastern (uprange) crater wall and flank. M3 data also highlight halos around Kepler. In detail the halos are slightly variable, but in broad terms they define a consistent feature, offset to the inferred downrange direction, and interpreted to reflect the distribution of glass‐bearing impact breccia. The radar data sets show most of the proximal ejecta to be radar‐bright. However, Diviner rock abundance data do not indicate the presence of blocks on the surface nor can they be seen using LRO Narrow Angle Camera images. Thus, the blocks giving rise to the enhanced radar signal are buried. Beyond the radar‐bright zone, a subtle radar‐dark halo emerges, coincident with a region of very low rock abundance in Diviner data. This multidisciplinary approach provides a robust analysis of the main characteristics of a lunar complex crater and reveals previously unidentified features related to the distribution of impact melt.

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A visible and near-infrared photometric correction for Moon Mineralogy Mapper (M3)

Cited by 99 publications

References 24 publications

A normalisation framework for (hyper-)spectral imagery

A normalisation framework for (hyper-)spectral imagery

The Role of Solar Wind in the Formation of Hydroxyl on Airless Silicate Bodies in Space

Characterization of melt and ejecta deposits of Kepler crater from remote sensing data

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