Assessing Carotenoid Content in Plant Leaves with Reflectance Spectroscopy¶
By Anatoly A. Gitelson, Y. Zur, O. Chivkunova, M. Merzlyak. Photochemistry and Photobiology, 2002
761 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/e5085bb46a7d14452c36c9f661d6d662c4e1d7d6
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Jean-Baptiste F'eret
- Anatoly A. Gitelson
- Susan L. Ustin
- Gregory P. Asner
- Stephane Jacquemoud
- George Alan Blackburn
- Jan G. P. W. Clevers
- Z. Malenovsky
Citations in the corpus
- Optimizing spectral indices and chemometric analysis of leaf chemical properties using radiative transfer modeling (2011, methodology): “Quantifications of Cxc and LMA are much more challenging, because they are masked by stronger absorbers like Cab in the visible and EWT in the infrared (Gitelson et al., 2002; Kokaly et al., 2009; Zur et al., 2000).”
- Screening of visible and UV radiation as a photoprotective mechanism in plants (2008, background): “Detailed characteristics of the in vivo optical properties were obtained for the Car of higher plant leaves [25, 100, 103, 104] and fruit [37, 104], as well as microalgae [26, 105].”
- Application of Reflectance Spectroscopy for Analysis of Higher Plant Pigments (2003, background): “The analysis of carotenoids absorbing in the blue region of the spectrum is greatly complicated by an overlapping absorption of Chl present in high amounts in plant tissues [6, 15, 24].”
- Relationships between leaf chlorophyll content and spectral reflectance and algorithms for non-destructive chlorophyll assessment in higher plant leaves. (2003, methodology): “These newer methods are non-destructive, inexpensive, quick and now possible in the field (Buschmann and Nagel 1993, Gitelson and Merzlyak 1994 a, b, Markwell et al. 1995, Gamon and Surfus 1999, Gitelson et al. 2001, 2002).”
- Estimation of biomass in wheat using random forest regression algorithm and remote sensing data (2016, unknown): “16 [21] (RG–RR) / (RG + RR) [22] (RNIR–RG) / (RNIR + RG) [23] (RNIR–RB) / (RNIR + RB) [24] (RR–RB) / RNIR [25] RNIR / RR [26] 1/RG + 1/RNIR [27] 2.”
- Hyperspectral remote sensing of plant pigments. (2006, background): “510 nm, 550 or 700 nm) and near-infrared regions appears to offer a robust solution at the leaf scale ( Gitelson et al., 2002; Gitelson and Merzlyak, 2004).”
- Photostability of pigments in ripening apple fruit: a possible photoprotective role of carotenoids during plant senescence (2002, methodology): “Accordingly, a physiological significance of Car build up in senescing leaves and ripening fruit occurring in lipid environment of plastoglobuli could be addressed both to their dominant contribution to light absorption [10,13,19,25] and stability to photodestruction at the terminate stages of Chl b”
- Remote estimation of chlorophyll concentration in hyper-eutrophic aquatic systems: Model tuning and accuracy optimization (2006, methodology): “The conceptual model (Eq. (1)) has been used for non-destructive pigment retrieval from reflectance spectra of plant leaves (anthocyanins: Gitelson et al., 2001; carotenoids: Gitelson et al., 2002; chlorophyll: Gitelsonetal.,2003a),fruitpeels(Merzlyaketal.,2003), crop canopies (Gitelson et al., 20”
- Response of Chlorophyll, Carotenoid and SPAD-502 Measurement to Salinity and Nutrient Stress in Wheat (Triticum aestivum L.) (2017, background): “Similar relationships have been demonstrated with variable strengths of the coefficients [63,64,115].”
- FIELD EVALUATION OF THE RELATIONSHIP BETWEEN CHLOROPHYLL CONTENT IN BASIL LEAVES AND A PORTABLE CHLOROPHYLL METER (SPAD-502) READINGS (2010, background): “…quick and now possible in the field (Buschmann and Nagel, 1993; Gitelson and Merzlyak, 1994a, 1994b; Markwell et al., 1995; Gamon and Surfus, 1999; Gitelson et al., 2001, 2002) and have been demonstrated to predict chlorophyll content for different species of plants (Yadava, 1986; Marquard and…”
- Remote sensing of native and invasive species in Hawaiian forests (2008, background): “However, 2nd-d spectral weightings had definitive peaks at 450, 460, 500, and 510 nm associated with either carotenoids, chl-a, or a combination of these pigments (Gitelson et al., 2002).”
- Vegetation classification method with biochemical composition estimated from remote sensing data (2011, unknown): “2002 , 2006 ), 708 and 860 nm (Datt 1998 ) bands were used.”
- Three‐band model for noninvasive estimation of chlorophyll, carotenoids, and anthocyanin contents in higher plant leaves (2006, methodology): “Carotenoids (Car) contribute to light-harvesting and also play a photo-protective role, preventing damage to the photosynthetic systems [e.g., Chappelle et al., 1992; Dawson et al., 1998; Gitelson et al., 2002, 2003; Merzlyak et al., 2003].”