Visible-wavelength color and reflectance provide information about the geologic history of planetary surfaces. We present multispectral images (0.44 to 0.89 microns) of near-Earth asteroid (101955) Bennu. The surface has variable colors overlain on a moderately blue global terrain. Two primary boulder types are distinguishable by their reflectance and texture. Space weathering of Bennu surface materials does not simply progress from red to blue (or vice versa). Instead, freshly exposed, redder surfaces initially brighten in the near-ultraviolet (become bluer at shorter wavelengths), then brighten in the visible to near-infrared, leading to Bennu’s moderately blue average color. Craters indicate that the timescale of these color changes is ~105 years. We attribute the reflectance and color variation to a combination of primordial heterogeneity and varying exposure ages.

The NASA Perseverance rover Mast Camera Zoom (Mastcam-Z) system is a pair of zoomable, focusable, multi-spectral, and color charge-coupled device (CCD) cameras mounted on top of a 1.7 m Remote Sensing Mast, along with associated electronics and two calibration targets. The cameras contain identical optical assemblies that can range in focal length from 26 mm ($25.5^{\circ }\, \times 19.1^{\circ }\ \mathrm{FOV}$ 25.5 ∘ × 19.1 ∘ FOV ) to 110 mm ($6.2^{\circ } \, \times 4.2^{\circ }\ \mathrm{FOV}$ 6.2 ∘ × 4.2 ∘ FOV ) and will acquire data at pixel scales of 148-540 μm at a range of 2 m and 7.4-27 cm at 1 km. The cameras are mounted on the rover’s mast with a stereo baseline of $24.3\pm 0.1$ 24.3 ± 0.1  cm and a toe-in angle of $1.17\pm 0.03^{\circ }$ 1.17 ± 0.03 ∘ (per camera). Each camera uses a Kodak KAI-2020 CCD with $1600\times 1200$ 1600 × 1200 active pixels and an 8 position filter wheel that contains an IR-cutoff filter for color imaging through the detectors’ Bayer-pattern filters, a neutral density (ND) solar filter for imaging the sun, and 6 narrow-band geology filters (16 total filters). An associated Digital Electronics Assembly provides command data interfaces to the rover, 11-to-8 bit companding, and JPEG compression capabilities. Herein, we describe pre-flight calibration of the Mastcam-Z instrument and characterize its radiometric and geometric behavior. Between April 26$^{th}$ t h and May 9$^{th}$ t h , 2019, ∼45,000 images were acquired during stand-alone calibration at Malin Space Science Systems (MSSS) in San Diego, CA. Additional data were acquired during Assembly Test and Launch Operations (ATLO) at the Jet Propulsion Laboratory and Kennedy Space Center. Results of the radiometric calibration validate a 5% absolute radiometric accuracy when using camera state parameters investigated during testing. When observing using camera state parameters not interrogated during calibration (e.g., non-canonical zoom positions), we conservatively estimate the absolute uncertainty to be $<10\%$ < 10 % . Image quality, measured via the amplitude of the Modulation Transfer Function (MTF) at Nyquist sampling (0.35 line pairs per pixel), shows $\mathrm{MTF}_{\mathit{Nyquist}}=0.26-0.50$ MTF Nyquist = 0.26 − 0.50 across all zoom, focus, and filter positions, exceeding the $>0.2$ > 0.2 design requirement. We discuss lessons learned from calibration and suggest tactical strategies that will optimize the quality of science data acquired during operation at Mars. While most results matched expectations, some surprises were discovered, such as a strong wavelength and temperature dependence on the radiometric coefficients and a scene-dependent dynamic component to the zero-exposure bias frames. Calibration results and derived accuracies were validated using a Geoboard target consisting of well-characterized geologic samples.

This work details the laboratory analysis of a suite of 10 samples collected from an inverted fluvial channel near Hanksville, Utah, USA as a part of the CanMars Mars Sample Return Analogue Deployment (MSRAD). The samples were acquired along the rover traverse for detailed off-site analysis to evaluate the TOC and astrobiological significance of the samples selected based on site observations, and to address one of the science goals of the CanMars mission: to evaluate the ability of different analytical techniques being employed by the Mars2020 mission to detect and characterize any present biosignatures. Analytical techniques analogous to those on the ExoMars, MSL and the MER rovers were also applied to the samples. The total organic carbon content of the samples was <0.02% for all but 4 samples, and organic biosignatures were detected in multiple samples by UV-Vis-NIR reflectance spectroscopy and Raman spectroscopy (532 nm, time-resolved, and UV), which was the most effective of the techniques. The total carbon content of the samples is < 0.3 wt% for all but one calcite rich sample, and organic C was not detectable by FTIR. Carotene and chlorophyll were detected in two samples which also contained gypsum and mineral phases of astrobiological importance for paleoenvironment/habitability and biomarker preservation (clays, gypsum, calcite) were detected and characterized by multiple techniques, of which passive reflectance was most effective. The sample selected in the field (S2) as having the highest potential for TOC did not have the highest TOC values, however, when considering the sample mineralogy in conjunction with the detection of organic carbon, it is the most astrobiologically relevant. These results highlight importance of applying multiple techniques for sample characterization and provide insights into their strengths and limitations.

The LunaR concept study investigated the scientific value, feasibility, and deployment options for a Raman spectrometer on future lunar landed missions. It consists of a breadboard instrument that covers the 150–4000 cm−1 wavelength range with a resolution of ∼6 cm−1; Raman scattering is induced by a 532 nm continuous wave laser. The current conceptual design envisions the Raman spectrometer performing a downward-looking, 90-point one-dimensional across-track scan (±45°off nadir) of the lunar surface with the instrument mounted on the underside of a rover. A downward-looking context camera would provide information on the physical nature of targets interrogated by the Raman spectrometer and localization of the Raman spectra. Our laboratory investigations indicate that Raman spectroscopy is applicable to addressing a wide range of lunar surface exploration goals related to geology, in situ resource identification, and condensed volatile detection in diverse geological terrains, including permanently shadowed regions. Testing of a breadboard and commercial instrument on lunar samples and analogues indicates that a complete spectral scan of a target of interest can be completed in ∼90 min, permitting its use on even short-duration lunar landed missions. All of the major minerals present on the Moon can be detected, and in many cases their compositions can be quantified or constrained.

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&lt;p&gt;Finding suitable quantities of key resources for life-support and refueling is vital to future sustained lunar manned bases and commercial activities. There are large uncertainties in the lunar near-surface distribution of water ice volatiles and relevant in-situ resources, such as ilmenite (FeTiO&lt;sub&gt;3&lt;/sub&gt;). Moreover, planned future lunar orbiter missions have relatively limited spatial resolution, in the km range, for the volatile mappings relative to typical lander and rover range capabilities, especially for operations within the lunar Permanently Shadowed Regions (PSRs) that could shelter accumulated water ice deposits.&lt;/p&gt;&lt;p&gt;VMMO, for &lt;strong&gt;V&lt;/strong&gt;olatile and &lt;strong&gt;M&lt;/strong&gt;ineralogy &lt;strong&gt;M&lt;/strong&gt;apping &lt;strong&gt;O&lt;/strong&gt;rbiter, &amp;#160;is a low-cost 20 kg 12U Cubesat that comprises the Lunar Volatile and Mineralogy Mapper (LVMM) multi-wavelength chemical lidar science payload, the Compact LunAr Ionizing Radiation Environment(CLAIRE) monitoring payload, a COTS electronics test bed, and the supporting 12U Cubesat bus with propulsion, direct to Earth S-band and 1560 nm optical communications, on board data processing and a suite of altitude and pointing sensors for semiautonomous vision-assisted navigation from lunar orbit.&lt;/p&gt;&lt;p&gt;VMMO will most likely be deployed from a commercial lunar transportation provider, such as Astrobotics, into a suitable near-polar injection orbit. The on-board propulsion will be used to achieve a stable lunar frozen orbit for the subsequent science operations with a perilune over the south pole under 100 km to assist the LVMM volatile and mineralogy mappings.&lt;/p&gt;&lt;p&gt;The compact LVMM is a multi-wavelength Chemical Lidar (&lt;6.1 kg) which will use single-mode (SM) fiber lasers emitting simultaneously at 532 nm, 1064 nm and 1560 nm.&amp;#160; This will permit stand-off mapping of the lunar water ice distribution using active laser illumination, with a focus on selected permanently-shadowed craters in the lunar south pole;Shackleton, Faustini and Cabeus. This combination of selected laser spectral channels can provide very sensitive discrimination of water/ice in various types of Mare and Highland regolith, based on breadboard validation. The use of the SM fiber lasers enables a small laser beam divergence to provide high spatial resolution in the 10 m range at the lunar surface. There is some relevant flight heritage as part of the Fiber Sensor Demonstrator (FSD) payload on ESA&amp;#8217;s Proba-2 spacecraft that is still operational after more than 10 years in low earth orbit.&lt;/p&gt;&lt;p&gt;LVMM can also be used in a passive multispectral mode at 300 nm, 532 nm, 1064 nm and 1560 nm to map the lunar ilmenite in-situ resource distribution during the lunar day using the characteristic surface-reflected solar illumination. By combining the passive lunar day measurements with the active lunar night measurements, some new insights into the lunar diurnal water cycle should be possible.&lt;/p&gt;&lt;p&gt;This paper discusses the VMMO science requirements and the supporting 12U Cubesat platform and LVMM multiwavelength chemical lidar payload and some of the associated design trade-offs.&lt;/p&gt;

&lt;p&gt;Spectral (and compositional) analogues of hydrated carbonaceous chondrite (CCs) meteorites are an important material for furthering our exploration of dark/carbonaceous asteroids and possible CC parent bodies. The scientific importance of CCs is underscored by the fact that the target asteroids of the Hayabusa2, OSIRIS-REx, and Dawn missions are believed to be CC-like.&lt;/p&gt; &lt;p&gt;To attempt to reproduce the spectral reflectance properties and spectral reflectance variations of dark blue-sloped asteroids, we produced and developed a series of analogues. Our initial results focus on simple two-component mixtures of an Mg-rich saponite (containing ~25 wt.% dolomite) and two forms of carbon (graphite and lampblack). We produced a series of mixture spanning a range of carbonaceous material abundances (-10 wt.%).&lt;/p&gt; &lt;p&gt;We used Mg-rich saponite as the primary phyllosilicate because it is the most abundant phyllosilicate in the most hydrated CCs (e.g., Browning et al., 1993; Buseck and Hua, 1993; Zolensky et al., 1993; Howard et al., 2011). We used fine-grained amorphous carbon and graphite because both are known to induce a bluing (reflectance decreasing toward longer wavelengths) in mixtures with phyllosilicates (Cloutis et al., 2011a, 2011b).&lt;/p&gt; &lt;p&gt;We produced a series of saponite+lampblack and saponite+graphite mixtures with carbonaceous phase abundances that encompasses (and exceeds) the range of carbonaceous phase abundances in CI1 and CM1-2 carbonaceous chondrites (Pearson et al., 2006).&lt;/p&gt; &lt;p&gt;Our mixtures included a natural saponite, a fine-grained synthetic lampblack, and a synthetic graphite. SAP105 is a saponite sourced from Amargosa Valley, CA-NV, USA. It was provided by IMV Minerals (Lhoist North America), and is marketed under the trade name Imvite. It was supplied as a fine-grained beige powder. For opaque carbonaceous materials, we used either a fine-grained sample of synthetic carbon black (lampblack; our sample #LCA101; Johnson Matthey, #14237A; &lt;0.021&amp;#181;m particle size) or a synthetic graphite (our sample #GRP102: Johnson Matthey, #10130A, -300 mesh, 99.5% pure).&lt;/p&gt; &lt;p&gt;SAP105 was also found to contain 3.43 wt.% carbon; equivalent to ~26 wt.% dolomite if all C is present in dolomite (which was detected by XRD). Both GRP102 and LCA101 are high-purity samples.&lt;/p&gt; &lt;p&gt;In order to produce samples with intimately-mixed phyllosilicates+opaques, we adapted a procedure developed by Hildebrand et al. (2015) for their Bennu analogues. The end members were all fine-grained (&lt;45 &amp;#181;m), so no additional sample crushing was required. Approximately 50 grams of each mixture was produced. The end members were weighed out and placed into an alumina mortar and pestle and ground together for one minute to reduce clumping. The powders were then mixed with reverse osmosis (RO) water at a volumetric ratio of roughly 2:1 water:powder in a stainless steel cup with agitators. The resulting slurries were mixed together with a commercial grade drink mixer for roughly 10 minutes and then poured into aluminum pie trays with crenulated bottoms. The mixtures were then heated to 150&amp;#176;C in air and kept at that temperature for 4 days using a drying oven. The slurries were initially ~10 cm thick, and the heating process resulted in a very large volume loss and formation of mostly small chunks due to desiccation cracking about 1 cm thick. The resulting sample had a rough upper surface with a coating of light-colored precipitate (likely halite). The sample was separated into dry chunks (with rough upper surfaces and rough/crenulated lower surfaces). The upper portions were scraped with a razor blade to remove the salt crust &amp;#160;and then sanded with 60 grit aluminum oxide sandpaper to produce a matte surface. Other portions of the sample were ground by hand in the alumina mortar and pestle and dry-sieved to produce &lt;1000 and &lt;45 &amp;#181;m powders after removing the salt crusts. This resulted in four different types of samples for spectral analysis: slabs with flat-rough and flat-matte surfaces, &lt;1000 &amp;#181;m powders, and &lt;45 &amp;#181;m powders.&lt;/p&gt; &lt;p&gt;SEM and microscopy indicated that the lampblack was not fully dispersed, with opaque aggregates with sizes up to a few tens of microns. This is similar to the sizes of carbonaceous materials in CM chondrites (e.g., Croat et al., 2003; Amari et al., 2005); therefore that incomplete disaggregation of the lampblack more closely reproduces CC matrix textures.&lt;/p&gt; &lt;p&gt;&lt;strong&gt;Results:&lt;/strong&gt; The mixtures containing &gt;5 wt.% carbonaceous material show the greatest similarities to dark presumed carbonaceous asteroids, exhibiting low reflectance and a variety of spectral slopes that are a function of physical properties. The most blue-sloped spectra are associated with solid surfaces.&lt;/p&gt; &lt;p&gt;&lt;strong&gt;Acknowledgements:&lt;/strong&gt; We thank Dave Rachford and IMV Minerals for providing the SAP105 sample, and Dr. Stan Mertzman of Franklin and Marshall College for the SAP105 analysis. This study was supported by CSA, NSERC, MRIF, CFI, and UWinnipeg.&lt;/p&gt; &lt;p&gt;&amp;#160;&lt;/p&gt; &lt;p&gt;&lt;strong&gt;References&lt;/strong&gt;&lt;/p&gt; &lt;p&gt;Amari, C.E., et al. (2005) The micro-distribution of carbonaceous matter in the Murchison meteorite as investigated by Raman imaging. Spectrochimica Acta A, 61, 2049-2056.&lt;/p&gt; &lt;p&gt;Browning, L.B., et al. (1993) Correlated alteration effects in CM carbonaceous chondrites. Geochimica et Cosmochimica Acta, 60, 2621-2633.&lt;/p&gt; &lt;p&gt;Buseck, P.R., and X. Hua (1993) Matrices of carbonaceous chondrite meteorites. Annual Reviews of Earth and Planetary Science, 21, 255-305.&lt;/p&gt; &lt;p&gt;Cloutis, E.A., et al. (2011a) Spectral reflectance properties of carbonaceous chondrites: 1. CI chondrites. Icarus, 212, 180-209.&lt;/p&gt; &lt;p&gt;Cloutis, E.A., et al. (2011b) Spectral reflectance properties of carbonaceous chondrites: 2. CM chondrites. Icarus, 216, 309-346.&lt;/p&gt; &lt;p&gt;Croat, T.K., et al. (2003) Structural, chemical, and isotopic microanalytical investigations of graphite from supernovae. Geochimica et Cosmochimica Acta, 67, 4705-4725.&lt;/p&gt; &lt;p&gt;Hildebrand, A.R., et al. (2015) An asteroid regolith simulant for hydrated carbonaceous chondrite lithologies (HCCL-1). 78&lt;sup&gt;th&lt;/sup&gt; Meteoritical Society Meeting; abstract #5368.&lt;/p&gt; &lt;p&gt;Howard, K.T., et al. (2011) Modal mineralogy of CM chondrites by X-ray diffraction (PSD-XRD): Part 2. Degree, nature and settings of aqueous alteration. Geochimica et Cosmochimica Acta, 75, 2735-2751.&lt;/p&gt; &lt;p&gt;Pearson, V.K., et al. (2006) Carbon and nitrogen in carbonaceous chondrites: Elemental abundances and stable isotopic compositions. Meteoritics and Planetary Science, 41, 1899-1918.&lt;/p&gt; &lt;p&gt;Zolensky M. E., et al. (1993) Mineralogy and composition of matrix and chondrule rims in carbonaceous chondrites. Geochimica et Cosmochimica Acta 57, 3123-3148.&lt;/p&gt; &lt;p&gt;Below: LCA101+SAP105 mixtures: 2 and 5 wt.% LCA101 mixtures for different sample types.&lt;/p&gt; &lt;p&gt;&lt;img src=&quot;data:image/jpeg;base64, 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