Abstract Detail
The Stress of Life with Light:: a Graeme Berlyn retrospective Goodale, Uromi Manage [1]. Meta-analysis of spectral reflectance measurements in plants. Spectral reflectance data, both for remote sensing and for ground-based field measurements to detect plant stress, is commonly used in the fields of agriculture, forestry, conservation, restoration and reforestation. Recent advances in sensor technology and image processing allow for more detailed hyperspectral data, and the identification of spectral indices specific to plant stress as reflected in the pigment concentrations and water content. Plant pigment concentration is strongly linearly related to the visible (VIS) and near-infrared (NIR) reflectance, while plant water content is linked to the spectral characteristics of the short-wave infrared (SWIR) region. While ground-truthing is essential to identifying useful reflectance information for detecting plant stress the experimental and observational methods used can be highly variable. Quantitative integration of the literature on the effect of elevated plant stress on plant spectral signatures is important to improve our understanding of plant health. Meta-analytical techniques are used here to provide robust, statistically defensible estimates of elevated stress effect sizes on the spectral signature of terrestrial plants against which new results may be compared for management applications and model parameterization. Broader Impacts:
The braad uses of spectral reflectance are being discussed.
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1 - University of California at San Diego , Ecology, Evolution and Rerle, 1115 Muir Biol. Building, 9500 Gilman #0116 , La Jolla , CA, 92093
Keywords:
Spectral reflectance
remote sensing
plant stress
reforestation
Agriculture.
Presentation Type: Symposium or Colloquium Presentation
Session: SY5
Location: 554/Convention Center
Date: Wednesday, August 4th, 2010
Time: 11:30 AM
Number: SY5009
Abstract ID:158 | 
