Leaf optical properties in higher plants: linking spectral characteristics to stress and chlorophyll concentration.

By G. Carter, A. Knapp. American-Eurasian journal of botany, 2001

897 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/9cb1a12ebd901e2f320f37d06cab07bb1010b89b

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Citations in the corpus

Combining leaf physiology, hyperspectral imaging and partial least squares-regression (PLS-R) for grapevine water status assessment (2015, background): “…(e.g., Yu et al., 2000); namely, as the same stressing agent may produce distinctly different spectral responses across species and growing environments (Carter and Knapp, 2001), the effectiveness of a general spectral model – tested on a given plant and exported to others – is highly questionable.”
Wavelength selection and spectral discrimination for paddy rice, with laboratory measurements of hyperspectral leaf reflectance (2011, background): “Society for Photogrammetry and R (Carter, 1994; Carter and Knapp, 2001; Hansen and Schjoerring, 2003).”
Retrieval of foliar information about plant pigment systems from high resolution spectroscopy (2009, background): “It is known that pigment composition varies with species and environmental conditions (e.g., Peñuelas et al., 1995a; Carter and Knapp, 1991; Asner et al., 2008).”
Relationships between endophyte diversity and leaf optical properties (2011, methodology): “Spectral sampling protocols followed those presented by Castro-Esau et al. (2006b). A UV-excitable chlorophyll fluorescence index was formulated from measurements collected by a dual excitation fluorimeter (Dualex , ForceOne CNRS-LURE, France).”
Sentinel‐2 accurately maps green‐attack stage of European spruce bark beetle (Ips typographus, L.) compared with Landsat‐8 (2018, background): “…the red-edge region has superior sensitivity when detecting changes that are induced in plants by stressors such as dehydration, disease and insect attack, and can, therefore, improve the early detection of plant stress (Ahern 1988; Carter and Miller 1994; Carter and Knapp 2001; Eitel et al. 2011).”
Hyperspectral remote sensing of plant pigments. (2006, background): “…is most sensitive to pigment concentrations over the normal range found in most leaves (Lichtenthaler et al., 1996; Mariotti et al., 1996; Carter and Knapp, 2001; Buscaglia and Varco, 2002; Carter and Spiering, 2002; Zhao et al., 2003) and canopies (Fillella et al., 1995; O'Neill…”