journal article·2024-11-22Open access

Some Approaches for Light and Color on the Surface of Mars

Manuel Melgosa, Javier Hernández-Andrés, Manuel Sánchez-Marañón, Javier Cuadros, Álvaro Vicente-Retortillo

Applied Sciences· Volume 14· Issue 23

Abstract

We analyzed the main colorimetric characteristics of lights on Mars’ surface from 3139 total spectral irradiances provided by the COMIMART model (J. Space Weather Space Clim. 5, A33, 2015), modifying the parameters of ‘solar zenith angle’ and ‘opacity’, related to the time of day and the amount of dust in the atmosphere of Mars, respectively. Lights on Mars’ surface have chromaticities that are mainly located below the Planckian locus, correlated color temperature in the range of 2333 K–5868 K, and CIE 2017 color fidelity indices above 93. For the 24 samples in the X-Rite ColorChecker® and an extreme dust opacity change from 0.1 to 8.1 in the atmosphere, the average color inconstancy generated by the change in Mars’ light using the chromatic adaptation transform CIECAT16 was about 5 and 8 CIELAB units for solar zenith angles of 0° and 72°, respectively. We propose a method to compute total spectral irradiances on the surface of Mars from a selected value of correlated color temperature in the range of 2333 K–5868 K. This method is analogous to the one currently adopted by the International Commission on Illumination to compute daylight illuminants on the surface of Earth (CIE 015:2018, clause 4.1.2). The average accuracy of 3139 reconstructed total spectral irradiances using the proposed method was 0.9999558 using GFC (J. Opt. Soc. Am. A 14, 1007–1014, 1997) and 0.0009 ΔEu′v′ units, a value just below noticeable chromaticity differences perceptible by human observers at 50% probability. Total spectral irradiances proposed by Barnes for five correlated temperatures agreed with those obtained from the current proposed method: on the average, GFC = 0.9979521 and 0.0023 ΔE′v′ units.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Impact of Light on Environment and Health · Atmospheric aerosols and clouds · Urban Heat Island Mitigation

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Research Group FQM381 of the Andalusian Regional Government, Faculty of Sciences, University of Granada, 18071 Granada, Spain

Department of Optics, Faculty of Sciences, University of Granada, 18071 Granada, Spain

Department of Soil Science and Agricultural Chemistry, Faculty of Sciences, University of Granada, 18071 Granada, Spain

Natural History Museum, South Kensington, London SW7 5BD, UK

Astrobiology Center, National Research Council-National Institute of Aerospace Technology, 28850 Madrid, Spain

Funding

MICIU/AEI/10.13039/501100011033 and ERDF/EU

References (34)

Show source-provided references
1. Spectral distribution of typical daylight as a function of correlated color temperature10.1364/JOSA.54.001031 ↗
2. Color and spectral analysis of daylight in southern Europe10.1364/JOSAA.18.001325 ↗
3. International Commission on Illumination (2018). CIE 015:2018. Colorimetry, CIE Central Bureau. [4th ed.].
4. Reconstruction of daylight spectral power distribution based on correlated color temperature: A comparative study between the CIE approach and localized procedures in assessing non-image forming effects10.1080/15502724.2021.1989310 ↗
5. Andrekson, P. (2024, January 16–19). Optical communication in very long space links. Proceedings of the Book of Abstracts VI International Conference on Application of Optics and Photonics, AOP2024, Aveiro, Portugal.
6. The Mars Science Laboratory Curiosity rover Mastcam instruments: Preflight and in-flight calibration, validation, and data archiving10.1002/2016EA000219 ↗
7. Barnes, D. (2024, November 18). Mars Rover Colour Vision: Generating the True Colours of Mars. The 12th Symposium on Advanced Space Technologies in Automation and Robotics. Available online: http://robotics.estec.esa.int/ASTRA/Astra2013/Papers/barnes_2811165.pdf.
8. Interpolation, extrapolation, and truncation in computations of CIE tristimulus values10.1002/col.22016 ↗
9. A model to calculate solar radiation fluxes on the Martian surface10.1051/swsc/2015035 ↗
10. Wavelength dependence of dust aerosol single scattering albedo as observed by the Compact Reconnaissance Imaging Spectrometer10.1029/2009JE003350 ↗
11. Ultraviolet dust aerosol properties as observed by MARCI10.1016/j.icarus.2010.01.010 ↗
12. Another one derives the dust: Ultraviolet dust aerosol properties retrieved from MAVEN/IUVS data10.1016/j.icarus.2022.115177 ↗
13. The delta-Eddington approximation for radiative flux transfer10.1175/1520-0469(1976)033<2452:TDEAFR>2.0.CO;2 ↗
14. Numerically stable algorithm for discrete-ordinate-method radiative transfer in multiple scattering and emitting layered media10.1364/AO.27.002502 ↗
15. A color-rendition chart
16. Color correction of Mars images: A study of illumination discrimination along solight locus10.2352/J.ImagingSci.Technol.2023.67.5.050410 ↗
17. Calculating correlated color temperatures across the entire gamut of daylight and skylight chromaticities10.1364/AO.38.005703 ↗
18. Practical use and calculation of CCT and Duv10.1080/15502724.2014.839020 ↗
19. International Commission on Illumination (2017). CIE 224:2017. CIE 2017 Colour Fidelity Index for Accurate Scientific Use, CIE Central Bureau.
20. Berns, R.S. (2000). Billmeyer and Saltzman’s Principles of Color Technology, John Wiley & Sons, Inc.. [3rd ed.]. Appendix F.
21. Fairchild, M.D. (2005). Color Appearance Models, John Wiley & Sons. Ltd.. [2nd ed.]. Chapters 8 and 9.
22. International Commission on Illumination (2022). CIE 248:2022. The CIE 2016 Colour Appearance Model for Colour Management Systems: CIECAM16, CIE Central Bureau. Annex A.
23. Power functions improving the performance of color-difference formulas10.1364/OE.23.000597 ↗
24. Linear bases for representation of natural and artificial illuminants10.1364/JOSAA.14.001007 ↗
25. International Commission on Illumination (2014). CIE TN 001:2014. Chromaticity Difference Specification for Light Sources, CIE Central Bureau. Available online: https://cie.co.at/publications/chromaticity-difference-specification-light-sources.
26. Roatgi, A. (2024, November 18). WebPlotDigitizer. Available online: https://apps.automeris.io/wpd4/.
27. Murcia-Piñeros, J., Prado, A.F.B.A., Dimino, I., and de Moraes, R.V. (2024). Optimal gliding trajectories for descent on Mars. Appl. Sci., 14.10.3390/app14177786 ↗
28. Zhang, T., Peng, S., Jia, Y., Tian, H., Sun, J., and Yan, C. (2022). Slip estimation for Mars rover Zhurong based on data drive. Appl. Sci., 12.10.3390/app12031676 ↗
29. Rodin, A., Vinogradov, A., Zenevich, S., Spiridonov, M., Gazizov, I., Kazakov, V., Meshcherinov, V., Golovin, I., Kozlova, T., and Lebedev, Y. (2020). Martian multichannel diode laser spectrometer (M-DLS) for in-situ atmospheric composition measurements on Mars onboard ExoMars-2022 landing platform. Appl. Sci., 10.10.3390/app10248805 ↗
30. National Renewable Energy Laboratory (NREL) (2024, November 18). 2000 ASTM Standard Extraterrestrial Spectrum Reference E-490-00, Available online: https://www.nrel.gov/grid/solar-resource/spectra-astm-e490.html.
31. Mars Reconnaissance Orbiter Mars Color Imager (MARCI): Instrument description, calibration, and performance
32. The Mars Science Laboratory (MSL) Mast cameras and Descent imager: Investigation and instrument descriptions10.1002/2016EA000252 ↗
33. Barnouin-Jha, O., Barnouin-Jha, K., Bishop, J., Johnson, J., McSween, H., and Morris, R. (2024, November 18). New Insights into the Geology of the Mars Pathfinder Landing Site from Spectral and Morphologic Analysis of the 12-Color Superpan Panorama. 6th International Conference on Mars, Abstract 3060. Available online: https://www.lpi.usra.edu/meetings/sixthmars2003/pdf/3060.pdf.
34. Identification of iron in Earth analogues of Martian phyllosilicates using visible reflectance spectroscopy: Spectral derivatives and color parameters10.1016/j.clay.2018.08.016 ↗