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Related Experiment Videos

Fluorescence sensing techniques for vegetation assessment.

Lawrence A Corp1, Elizabeth M Middleton, James E McMurtrey

  • 1Science Systems and Applications, Inc., Lanham, Maryland 20706, USA. lcorp@hydrolab.arsusda.gov

Applied Optics
|March 4, 2006
PubMed
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Active fluorescence sensing can simulate solar-induced fluorescence (SIF) for vegetation assessment. This approach links laboratory data to large-scale remote sensing, aiding plant species identification and physiological status monitoring.

Area of Science:

  • Plant physiology
  • Remote sensing
  • Spectroscopy

Background:

  • Active fluorescence (F) sensing aids plant species identification and physiological status assessment.
  • Passive F systems for remote vegetation assessment rely on solar-induced F (SIF), potentially using the Fraunhofer line depth (FLD) principle.
  • Understanding the link between active and passive F systems is crucial.

Purpose of the Study:

  • To simulate solar-induced fluorescence (SIF) using active fluorescence (F) spectral data.
  • To evaluate SIF's potential for large-scale vegetation assessment using the Fraunhofer line depth (FLD) principle.
  • To compare different F approaches for vegetation analysis.

Main Methods:

  • Simulated SIF from active laboratory emission spectra of leaves at solar Fraunhofer lines (422–758 nm).

Related Experiment Videos

  • Applied passive FLD principle to telluric oxygen (O2) bands from field canopy reflectance spectra.
  • Examined dual-F excitation algorithms using laboratory data.

    • Main Results:

    • Active F laboratory data can effectively simulate SIF from whole-plant canopies.
    • SIF shows promise for large-scale vegetation assessment.
    • Demonstrated relationships between active and passive F measurements across species and nitrogen treatments.

    Conclusions:

    • Active fluorescence sensing provides a viable method for simulating SIF.
    • SIF derived from active systems has significant potential for remote vegetation assessment.
    • This research bridges the gap between active and passive fluorescence sensing techniques.