Scaling-up and model inversion methods with narrowband optical indices for chlorophyll content estimation in closed forest canopies with hyperspectral data

By Pablo J. Zarco-Tejada, John R. Miller, T. Noland, G. Mohammed, P. H. Sampson. IEEE Transactions on Geoscience and Remote Sensing, 2001

744 citations recorded by the source corpus.

Subfields: Ecology, Environmental Engineering, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/08586287a940c885c72b066f5c05451111a37bf2

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Citations in the corpus

Hyperspectral vegetation indices and novel algorithms for predicting green LAI of crop canopies: Modeling and validation in the context of precision agriculture (2004, methodology): “…ffi R 670 p Þ À 0:5 q ð13Þ These two indices were used to determine green LAI predicting functions, which were based on simulations with PROSPECT and SAILH radiative transfer models, as well as on an optical-index scaling-up approach discussed in detail in Zarco-Tejada et al. (2001).”
Evaluating hyperspectral vegetation indices for estimating nitrogen concentration of winter wheat at different growth stages (2010, background): “710 Zarco-Tejada et al. (2001) Pigment specific simple ratio a (PSSRa) R”
Optical remote sensing and the retrieval of terrestrial vegetation bio-geophysical properties - A review (2015, methodology): “Numerical optimization: Iterative optimization is a classical technique to invert RTMs in RS (Jacquemoud et al., 1995; Kuusk, 1998; Zarco-Tejada et al., 2001).”
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): “The ND925,710 index was found to be significantly correlated to leaf chlorophyll content in earlier studies (Hansen and Schjoerring, 2003; Zarco-Tejada et al., 2004b; Zarco-Tejada et al., 2001 ), with the 925 nm wavelength being sometimes 800 or 750 nm (same minimum area in Fig. 2). The wavelength ”
Hyperspectral remote sensing of plant pigments. (2006, methodology): “…based on the ratio of reflectance in narrow bands in the red edge (e.g. at 750 and 710 nm), provides a suitable merit function for the inversion of coupled leaf and canopy models, with which to predict Chl from airborne hyperspectral data (Zarco-Tejada et al., 2001, 2004a; Sampson et al., 2003).”
Estimation of dry matter content in leaves using normalized indexes and PROSPECT model inversion (2012, background): “Other parameters also have an influence on the reflectance of leaves (Zarco-Tejada et al. 2001, Chuvieco 2008).”
Estimating chlorophyll content from hyperspectral vegetation indices : Modeling and validation (2008, methodology): “…which have promoted the development of various approaches, based on model inversion or the use of empirical and semi-empirical methods, to estimate the chlorophyll content both at the leaf and canopy scales (Daughtry et al., 2000; Demarez and Gastellu-Etchegorry, 2000; Zarco-Tejada et al., 2001).”
Assessing the effects of forest health on sun-induced chlorophyll fluorescence using the FluorFLIGHT 3-D radiative transfer model to account for forest structure (2017, methodology): “Ca+b was retrieved using the RE (Zarco-Tejada et al., 2001) 454 that showed robustness to shadow and structural effects in forest canopies.”