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Near-end solution for lidar signals that includes a multiple-scattering component.

Vladimir A Kovalev1

  • 1Fire Sciences Laboratory, US Department of Agriculture, PO Box 8089, Missoula, Montana 59807, USA. vkovalev@fs.fed.us

Applied Optics
|January 14, 2004
PubMed
Summary

This study introduces a new lidar solution to account for multiple scattering in distant cloud and smoke measurements. The method improves accuracy by incorporating a multiple-to-single scattering ratio, enhancing remote sensing capabilities.

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Area of Science:

  • Atmospheric optics
  • Remote sensing
  • Lidar technology

Background:

  • Lidar measurements of clouds and smoke are often affected by multiple scattering, complicating data interpretation.
  • Existing single-scattering lidar equations may not accurately represent signals from optically dense aerosols.
  • Accurate characterization of atmospheric particles is crucial for climate and air quality monitoring.

Purpose of the Study:

  • To present a modified near-end lidar solution that incorporates multiple scattering effects.
  • To develop an inversion method (brink solution) that avoids a priori assumptions about the extinction-to-backscatter ratio.
  • To enhance the accuracy of lidar measurements for distant clouds and dense smoke plumes.

Main Methods:

  • A modified single-scattering lidar equation is proposed, including a term for the range-dependent multiple-to-single scattering ratio.

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  • A brink solution is developed for data inversion, eliminating the need for pre-selected extinction-to-backscatter ratios.
  • The solution utilizes either experimentally determined or analytically derived multiple-to-single scattering ratios, employing an iterative technique when needed.

    • Main Results:

    • The presented variant of the near-end solution effectively accounts for multiple scattering in lidar signals.
    • The brink solution allows for accurate inversion of lidar data without prior knowledge of the extinction-to-backscatter ratio.
    • The method is applicable to optically dense aerosol formations like clouds and dense smoke.

    Conclusions:

    • The proposed lidar solution offers a more robust approach for analyzing atmospheric phenomena affected by multiple scattering.
    • This advancement improves the reliability of remote sensing data for clouds and smoke.
    • The brink solution provides a flexible and accurate inversion technique for complex atmospheric conditions.