Relationships between leaf chlorophyll content and spectral reflectance and algorithms for non-destructive chlorophyll assessment in higher plant leaves.

By Anatoly A. Gitelson, Yuri A. Gritz, M. Merzlyak. Journal of plant physiology, 2003

2,496 citations recorded by the source corpus.

Subfields: Analytical Chemistry, Ecology, Plant Science

View Paper: https://www.semanticscholar.org/paper/aef80c000ed32d6558c63ef9d962046e6fb5f226

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Citations in the corpus

Three‐band model for noninvasive estimation of chlorophyll, carotenoids, and anthocyanin contents in higher plant leaves (2006, methodology): “…increase in thickness resulted in no noticeable differences in reflectance, was found to be closely related to the reciprocal of reflectance, R 1 [Gitelson et al., 2003]: R 1 / R1 ¼ a=bb ð1Þ where a and bb are the absorption and backscattering coefficients, respectively. a is a sum of absorption…”
Green leaf area index estimation in maize and soybean: Combining vegetation indices to achieve maximal sensitivity (2012, background): “Others constitute semianalytical procedures for estimating pigment content in diffuse media, such as the CIs (Gitelson et al., 2003a).”
Remote Sensing of Irrigated Agriculture: Opportunities and Challenges (2010, background): “A large body of research of spectral remote sensing of vegetation canopies indicates that moisture stress in vegetation is strongly manifested in spectral indices related to chlorophyll content [78,79].”
Application of Reflectance Spectroscopy for Analysis of Higher Plant Pigments (2003, background): “Both ratios were highly sensitive to Chl content in a wide range of its changes in leaves and fruits of diverse plant species and depended linearly on the pigment content [20, 24, 36, 37, 41, 43].”
Spectral signatures of sugar beet leaves for the detection and differentiation of diseases (2010, background): “The strongest linear relationship with total chlorophyll content is near 700 nm (Carter and Knapp 2001; Gitelson et al. 2003).”