1995
DOI: 10.1117/12.227193
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<title>Temporal measurement and analysis of high-resolution spectral signatures of plants and relationships to biophysical characteristics</title>

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Cited by 9 publications
(8 citation statements)
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“…Successful algorithm development for feature characterization requires development of a quantitative understanding of complex interactions that occur between photons and the numerous absorbing and scattering components of targets (Bostater et al 1994, Asner 1998. For plants, these wavelength dependent interactions involve tissue optical properties, canopy biophysical attributes, bottom reflectance (soil and litter), and illumination characteristics.…”
Section: Resultsmentioning
confidence: 99%
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“…Successful algorithm development for feature characterization requires development of a quantitative understanding of complex interactions that occur between photons and the numerous absorbing and scattering components of targets (Bostater et al 1994, Asner 1998. For plants, these wavelength dependent interactions involve tissue optical properties, canopy biophysical attributes, bottom reflectance (soil and litter), and illumination characteristics.…”
Section: Resultsmentioning
confidence: 99%
“…A simple correlation analyses was run between the spectral reflectance data and the percent moisture to define first order relationships between reflectance values and leaf moisture. To assess possible relationships between leaf percent moisture and spectral curvature or inflection a three band inflection ratio (Grew 1980;Bostater et al 1994) was computed. Spectral smoothing was utilized to reduce influences of noise and maximize the signal (Demetriades-Shah et al 1990).…”
Section: Methodsmentioning
confidence: 99%
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“…Efforts to restore habitat endangered flora and fauna utilize non-destructive tools to provide spatial and temporal data for decision making. Remote sensing has been the fundamental tool used in determining some of the biophysical and biochemical variables for monitoring and research [5]. Use of airborne and satellite remote sensing works well in detecting bio-chemical, bio-physical attributes at the leaf and canopy level.…”
Section: Introductionmentioning
confidence: 99%
“…[4][5][6] Leaf water status was tested using spectral data. 1,7,8 Brightness spectral coefficients were used to test plant stresses and to evaluate photosynthesis. 9…”
Section: Introductionmentioning
confidence: 99%