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

By Guerric le Maire, Christophe François, Kamel Soudani, Daniel Berveiller, J. Pontailler, Nathalie Bréda, H. Genet, H. Davi, Eric Dufrene. 2008

508 citations recorded by the source corpus.

Subfields: Ecology, Environmental Engineering, Plant Science

View Paper: https://www.semanticscholar.org/paper/0b7b8c924f17c091a55a98e0a4df76a32c313bf9

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In Ecology

In Environmental Engineering

In Plant Science

Citations in the corpus

Optimizing spectral indices and chemometric analysis of leaf chemical properties using radiative transfer modeling (2011, methodology): “In this study, the distribution of le Maire et al. (2008) is reproduced for N, Cab, EWT and LMA, with the addition of Cxc for which eleven levels are uniformly selected between 2.5 and 25 μg.cm− 2 (Table 3).”
LAI assessment of wheat and potato crops by VENμS and Sentinel-2 bands (2011, methodology): “In general, upscaling increases errors (le Maire et al., 2008) but for the potato case it might result in better LAI prediction since it will be visible as amore uniform crop than on ground level.”
Estimating crop chlorophyll content with hyperspectral vegetation indices and the hybrid inversion method (2016, methodology): “PROSAIL model and simulated spectra database The PROSAIL model, which combines the PROSPECT and SAIL models, exists in several versions (le Maire et al. 2008; Verhoef et al. 2007; Kötz et al. 2004; Bowyer and Danson 2004; Weiss et al. 2001).”
Optical remote sensing and the retrieval of terrestrial vegetation bio-geophysical properties - A review (2015, methodology): “It is beyond the scope of this work to list all published VIs (see Le Maire et al., 2004, 2008, for an overview), though they can be categorized according to their mathematical definition.”
An investigation into robust spectral indices for leaf chlorophyll estimation (2011, background): “R(710 + 50)) Canopy chl total le Maire et al. (2008) DPI (Double Peak Index) (D688*D710) / D697 2 Canopy chl fluorescence Zarco-Tejada et al. (2003) dRE Maximum value of first derivative in red-edge region Leaf chl, stress Filella and Peñuelas (1994) D1* D2* D730 / D706 D705 / D722 Canopy Canopy…”
Machine learning regression algorithms for biophysical parameter retrieval: Opportunities for Sentinel-2 and -3 (2012, background): “Several authors concluded that maximum sensitivity to Chl appears in the region from 520 to 630 nm and also around 700 nm (Carter, 1994; Datt, 1998; Gitelson & Merzlyak, 1997; Gitelson et al., 1996, 2003; le Maire et al., 2008; Sims & Gamon, 2002).”