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Satellite-sensor calibration verification with the cloud-shadow method.

P N Reinersman, K L Carder, F I Chen

    Applied Optics
    |February 21, 2008
    PubMed
    Summary
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    A new cloud-shadow method accurately corrects atmospheric interference in remote sensing. This technique uses shaded pixels and neighboring areas to derive ocean reflectance, aiding sensor calibration.

    Area of Science:

    • Earth and Space Sciences
    • Optical Remote Sensing
    • Atmospheric Science

    Background:

    • Accurate atmospheric correction is crucial for quantitative analysis of remote sensing data.
    • High-spatial-resolution sensors require specialized methods due to scene heterogeneity.
    • Cloud-shadows offer a unique opportunity for in-scene atmospheric calibration.

    Purpose of the Study:

    • To develop and validate an atmospheric correction method utilizing cloud-shadows for high-spatial-resolution imagery.
    • To enable accurate retrieval of ocean remote-sensing reflectance.
    • To provide a method for in-scene sensor calibration using known ground targets.

    Main Methods:

    • Comparing radiance from cloud-shaded pixels with adjacent, optically similar regions.

    Related Experiment Videos

  • Subtracting common atmospheric radiance contributions (path radiance, skylight).
  • Normalizing residual signal by surface solar irradiance and applying corrections for adjacency effects.

    • Main Results:

    • The cloud-shadow method effectively removes atmospheric contributions, isolating subsurface-scattered light.
    • Accurate remote-sensing reflectance of the ocean was retrieved.
    • Demonstrated potential for land target analysis with scene homogeneity.

    Conclusions:

    • The cloud-shadow method is a robust approach for atmospheric correction in high-spatial-resolution remote sensing.
    • This technique facilitates reliable ocean color data acquisition and sensor calibration.
    • The method shows promise for extending to land-based remote sensing applications.