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On the colors of distant objects.

David K Lynch1, S Mazuk

  • 1Thule Scientific, 22914 Portage Circle Drive, Topanga, California 90290, USA. thule@earthlink.net

Applied Optics
|October 6, 2005
PubMed
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Distant object colors change with atmospheric conditions and distance. This study analyzes how atmospheric effects alter the perceived colors of celestial bodies and landscapes.

Area of Science:

  • Atmospheric optics
  • Radiative transfer
  • Color science

Background:

  • The perceived color of distant objects deviates from their intrinsic hues due to atmospheric scattering and absorption.
  • This phenomenon is observable in natural elements like clouds, mountains, and the Sun, with color shifts intensifying at greater distances or optical depths.

Purpose of the Study:

  • To investigate and quantify the color alterations of distant objects as a function of atmospheric conditions and viewing distance.
  • To compute the CIE chromaticity coordinates of various celestial and terrestrial objects under different atmospheric scenarios.

Main Methods:

  • Utilized MODTRAN4 radiative-transfer calculations to simulate spectral transmission through the atmosphere.
  • Computed CIE chromaticity coordinates from retrieved spectra to objectively measure perceived colors.

Related Experiment Videos

  • Analyzed color variations for the Sun, stars, sky, clouds, and mountains across different solar elevations and atmospheric conditions.

    • Main Results:

    • Demonstrated a quantifiable relationship between atmospheric optical depth and the observed color shifts in distant objects.
    • Presented spectral data and chromaticity coordinates illustrating how the Sun appears redder at low elevations, and clouds/snow gain yellow or pink hues.
    • Showcased the blue/purple shift in mountains and the color changes of stars and the sky as a function of solar elevation.

    Conclusions:

    • Atmospheric effects significantly alter the perceived colors of distant objects, a phenomenon directly linked to optical depth.
    • The study provides a quantitative framework for understanding these color changes, crucial for applications in remote sensing, astronomy, and visual perception research.
    • Spectral analysis and radiative transfer modeling offer robust methods for predicting and explaining observed color phenomena in diverse atmospheric environments.