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Feature identification and location experiment.

W E Sivertson, R G Wilson, G F Bullock

    Science (New York, N.Y.)
    |December 3, 1982
    PubMed
    Summary
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    The Feature Identification and Location Experiment (FILE) uses spectral bands to classify Earth features like water and vegetation. Its radiance ratio algorithm successfully automated data selection for real-time analysis.

    Area of Science:

    • Earth observation science
    • Remote sensing technology
    • Atmospheric and Earth surface studies

    Background:

    • Understanding Earth's surface composition is crucial for environmental monitoring.
    • Remote sensing offers a non-invasive method for large-scale feature identification.
    • Previous methods required manual data selection, limiting real-time analysis.

    Purpose of the Study:

    • To evaluate the performance of the Feature Identification and Location Experiment (FILE) algorithm.
    • To assess the effectiveness of real-time classification of Earth's primary features.
    • To validate the automated data-selection capabilities of the radiance ratio algorithm.

    Main Methods:

    • Utilizing the Feature Identification and Location Experiment (FILE) instrument to sense Earth's radiation.

    Related Experiment Videos

  • Analyzing reflected solar radiation in spectral bands at 0.65 and 0.85 micrometers.
  • Employing a radiance ratio classification algorithm for automated feature identification.

    • Main Results:

    • The radiance ratio classification algorithm demonstrated successful automatic data-selection.
    • Real-time classification decisions were made for four primary features: water, vegetation, bare land, and cloud-snow-ice.
    • A classification image from the mission provided data for algorithm and system performance evaluation.

    Conclusions:

    • The FILE algorithm and system are effective for real-time Earth feature classification.
    • Automated data selection enhances the efficiency of remote sensing data analysis.
    • The mission data supports the evaluation and potential refinement of the FILE system.