Conventional wisdom is that lidar pulses do not significantly penetrate clouds having optical thickness exceeding about z = 2, and that no returns are detectible from more than a shallow skin depth. Yet optically thicker clouds of z >> 2 reflect a larger fraction of visible photons, and account for much of Earth's global average albedo. As cloud layer thickness grows, an increasing fraction of reflected photons are scattered multiple times within the cloud, and return from a diffuse concentric halo that grows around the incident pulse, increasing in horizontal area with layer physical thickness. The reflected halo is largely undetected by narrow field-of-view (FoV) receivers commonly used in lidar applications. THOR -Thickness from Offbeam Returns -is an airborne wide-angle detection system with multiple FoVs, capable of observing the diffuse halo, detecting wide-angle signal from which physical thickness of optically thick clouds can be retrieved. In this paper we describe the THOR system, demonstrate that the halo signal is stronger for thicker clouds, and validate physical thickness retrievals for clouds having z > 20, from NASA P-3B flights over the Department of Energy/Atmospheric Radiation MeasurementBouthern Great Plains site, using the lidar, radar and other ancillary ground-based data. 2,
<p><strong>Introduction:</strong>&#160; The ability to discriminate between different mineral phases in lunar materials is critical in reconstructing the origin and evolution of the moon and understanding its relationship to Earth. &#160;Resource identification is also critical to develop a viable long-term lunar exploration program enabling a continued human presence. Mineral-bound metals are important resource targets in regolith and mare basalts [1]. Minerals in lunar basalts and regolith such as ilmenite and pyroxene are known hosts of metals like Cr, Ni, Co, and Mn, and ilmenite in particular has been considered for Fe and O<sub>2</sub> extraction [2][3]. &#160;</p> <p>&#160;&#160;&#160;&#160; Raman spectroscopy non-destructively provides structural information to identify trace compounds and minerals in a matter of seconds. Raman spectroscopy has been used for decades to measure the composition of returned lunar samples and analog materials ([4][5][6] and references therein). Raman measurements can be undertaken with multiple excitation wavelengths, (UV ~244nm, VIS ~532nm, NIR ~785nm, and IR ~1064nm), with advantages to using one excitation wavelength over another. The 532 nm wavelength provides high-energy excitation with good sensitivity and low noise for most materials covering a wide spectral range (~0 &#8211; 4000 cm<sup>-1</sup>). This wide range is essential for the identification of volatiles, in which spectral shift for functional groups like OH occur within ~3000 - 3700 cm<sup>-1</sup>, and minerals with peak shifts ~100-200 cm<sup>-1</sup>, such as sulfides, feldspars, and quartz polymorphs. NIR Raman has been shown to exhibit better signal-to-noise, particularly for opaque minerals, like sulfides and oxides, and is the typical wavelength utilized in portable Raman instruments for terrestrial resource prospecting ([7][8]).&#160; The two wavelengths used together ensure near-comprehensive identification and accurate characterization of lunar materials suitable for resource extraction.</p> <p><strong>Materials and Methods:</strong>&#160; This study looks at a suite of lunar analog mineral samples (olivine, plagioclase, pyroxene, ilmenite, apatite) and relevant terrestrial analog rocks using portable and benchtop VIS (532nm) and NIR (780nm) Raman spectroscopy and Fourier transform infrared spectroscopy for comprehensive characterization of composition. Samples were probed either in tact or as powders at room temperature. A subset of powdered samples was heated &#160;(T= 298K, 325K, and 373K) and characterized using NIR Raman to study temperature dependence of Raman spectra.</p> <p><strong>Initial Results:</strong> The mineral samples included in the study were all identifiable using both VIS and NIR Raman spectroscopy, and in some cases the portable instruments performed better than the high-resolution benchtop systems. Basalt and ilmenite samples were better characterized under NIR excitation, while the silicate minerals had a better response under VIS excitation (Fig. 1). FTIR measurements of the silicate minerals were informative, but the opaque nature of ilmenite results in low reflectance under higher wavelengths. For both Raman and FTIR measurements, better results were achieved with the pure minerals in comparison to the rocks composed of multiple minerals. The NIR Raman temperature experiments showed an enhancement of spectral peak intensity for minerals like plagioclase as the temperature increased up to 373K.</p> <p><img src="data:image/png;base64, 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