Hyperspectral remote sensing of plant pigments.

By George Alan Blackburn. Journal of Experimental Botany, 2006

732 citations recorded by the source corpus.

Subfields: Ecology, Media Technology, Plant Science

View Paper: https://www.semanticscholar.org/paper/e507c4b2552b0484b1c0fbd4d6494735e68d9537

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Citations in the corpus

Diseases in tropical and plantation crops as affected by climate changes: current knowledge and perspectives (2011, background): “Blackburn (2007) proposed the use of hyperspectral data combined with light detection and ranging (lidar) remote sensing for quantifying chlorophyll pigments of plants. According toOsama et al. (2007), numerous studies have shown the applicability of lidar-based remote sensing to estimate plant prop”
Remote estimation of nitrogen and chlorophyll contents in maize at leaf and canopy levels (2013, background): “…the green and red-edge spectral regions was shown to be optimal for non-destructive estimation of leaf Chl content in a wide range of its variation (Blackburn, 2006; Gitelson et al., 2003b; Gitelson, 2011a; Hatfield et al., 2008; le Maire et al., 2004; Richardson et al., 2002; Ustin et al., 2009).”
Different units of measurement of carotenoids estimation in cotton using hyperspectral indices and partial least square regression (2014, background): “Among them, plant pigments are the most studied traits (Blackburn, 2007; Ustin et al., 2009).”
Calibration and validation of hyperspectral indices for the estimation of broadleaved forest leaf chlorophyll content, leaf mass per area, leaf area index and leaf canopy biomass (2008, methodology): “Different methods exist to retrieve canopy characteristics from reflectancemeasurements (Blackburn, 2007; Kimes et al., 2000;Weiss & Baret, 1999):”
PROSPECT-D: towards modeling leaf optical properties through a complete lifecycle (2017, unknown): “Present leaf optical properties models do not include pigments other than chlorophylls and carotenoids, limiting the application of the physical approach to the study of these pigments (Blackburn, 2007).”
A physically-based model for retrieving foliar biochemistry and leaf orientation using close-range imaging spectroscopy (2016, unknown): “For example, these data canbeusedtoidentifyplantpigments(Blackburn,2007),freezingstress (Nicotra, Hofmann, Siebke, & Ball, 2003) or leaf diseases (Mahlein et al., 2013),eachofwhichisoftremendousimportancetofollowuptheplant physiological status.”
Wavelet decomposition of hyperspectral data: a novel approach to quantifying pigment concentrations in vegetation (2007, background): “An extensive appraisal of the existing analytical techniques to retrieve pigment concentrations from leaf and canopy spectra is provided by Blackburn ( 2006 ).”
Retrieval of foliar information about plant pigment systems from high resolution spectroscopy (2009, background): “Table 1 provides examples of these indexes; see more comprehensive reviews of chlorophyll indexes in Blackburn (1998, 2007), le Maire et al. (2004), and Zarco-Tejada et al. (2005a, 2005b).”