Illumination conditions within permanently shadowed regions at the lunar poles: Implications for in-situ passive remote sensing

Kloos, Jacob L.; Moores, John E.; Godin, Paul; Cloutis, E. A.

doi:10.1016/j.actaastro.2020.09.012

Cited by 16 publications

(24 citation statements)

References 57 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The amount of noise in the images was determined by looking at the variability of pixels in the far corners of the images. For the UV images, the standard deviation of corner pixels was ∼ 127 digital pixel numbers; while for the visible images it was [21] and [22], and regolith albedo from [20].…”

Section: Resultsmentioning

confidence: 99%

“…For regolith, the albedo is taken as an average of the Apollo samples measured by Hapke et al [20]. For ice, there are multiple modeled reflectance data sets available; there is the directional hemispheric reflectance work by Kloos et al [22] and bi-directional reflectance modeling using optical constants from Warren and Brandt [21]. While there exist experimental measurements of UV albedo of ice [20], there are potential issues with these measurements, such as red leak and contamination [25].…”

Section: Resultsmentioning

confidence: 99%

“…Reflectance data from the Apollo samples measured by Hapke et al [20] show that lunar regolith has an albedo of 3-5% in the deep UV. Water ice however has an albedo of 1-3% in the deep UV [19,21,22]. LAMP builds up reflectance data from multiple fly overs of PSRs to search for this small, but detectable change in surface albedo to distinguish ice from regolith.…”

Section: Introductionmentioning

confidence: 99%

“…LAMP builds up reflectance data from multiple fly overs of PSRs to search for this small, but detectable change in surface albedo to distinguish ice from regolith. A similar method can be applied using visible wavelengths: studies have show that there is significant visible light emission in the PSRs from the background starfield [22] and Earthshine is another source of illumination in the PSRs [22,23,24]. Over visible wavelengths, lunar regolith averages an albedo of ∼10% [20], while water ice has an albedo of 80-90% in the visible [20,21,22].…”

Section: Introductionmentioning

confidence: 99%

“…A similar method can be applied using visible wavelengths: studies have show that there is significant visible light emission in the PSRs from the background starfield [22] and Earthshine is another source of illumination in the PSRs [22,23,24]. Over visible wavelengths, lunar regolith averages an albedo of ∼10% [20], while water ice has an albedo of 80-90% in the visible [20,21,22]. The upcoming Korea Pathfinder Lunar Orbiter ShadowCam plans to survey PSRs using reflected light.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Laboratory investigations of Lunar ice imaging in permanently shadowed regions using reflected starlight

Godin¹,

Kloos²,

Seguin³

et al. 2020

Preprint

Self Cite

View full text Add to dashboard Cite

A proof of concept for a frost detection imager using reflected starlight is presented; the limitations of this technique are explored experimentally. An ice-covered lunar surface is simulated inside a vacuum chamber, which is then illuminated with a lamp containing UV and visible output to simulate the wavelengths of the background starfield. The simulated lunar surface is imaged with a camera utilizing a UV and visible filter pairing. At Lyman-α wavelengths, ice has low reflectivity, and on average appears darker than the regolith in the UV image. In visible wavelengths, this behaviour is reversed, with ice appearing brighter than regolith.UV/VIS image ratioing is subsequently performed in order to discern frost from the lunar regolith simulant in order to demonstrate the capability of this technology for locating the presence of ice on the lunar surface. When the two images are ratioed, the signal to noise ratio to distinguish ice from regolith improves by 36%. In cases where the presence of shadows and specular reflection make distinguishing ice from regolith in either a single UV or visible image difficult, ratioing the images makes the distinction clear.

show abstract

Section: Resultsmentioning

confidence: 99%