Retrieval of foliar information about plant pigment systems from high resolution spectroscopy

By Susan L. Ustin, Anatoly A. Gitelson, Stephane Jacquemoud, Michael E. Schaepman, Gregory P. Asner, John A. Gamon, Pablo J. Zarco-Tejada. 2009

739 citations recorded by the source corpus.

Subfields: Analytical Chemistry, Ecology, Plant Science

View Paper: https://www.semanticscholar.org/paper/577038374013798e46bb2b9d88bad0848bd88da5

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Analytical Chemistry

In Ecology

In Plant Science

Citations in the corpus

PROSPECT-D: towards modeling leaf optical properties through a complete lifecycle (2017, background): “The presence of overlapping features in the specific absorption coefficient (SAC) of carotenoids and anthocyanins makes it difficult to separate and quantify these accessory pigments using basic methods such as spectral indices, especially at canopy scale (Ustin et al., 2009).”
Bayesian object-based estimation of LAI and chlorophyll from a simulated Sentinel-2 top-of-atmosphere radiance image (2014, background): “statistical relationships, however, require extensive field data collection and are only valid for the specific conditions for which they were developed, including sensor, acquisition geometry, and vegetation type (Dorigo et al., 2007; Ustin et al., 2009).”
Benefits of hyperspectral remote sensing for tracking plant invasions (2011, background): “It is expected that variations in spectral signatures (shape and the depth of the shape) should be found across environmental gradients or taxonomic lines (Kokaly et al., 2009; Ustin et al., 2009) (Figs 1 & 2).”
Multi-method ensemble selection of spectral bands related to leaf biochemistry (2015, neutral): “In general, no method can always be considered superior to others (Ustin et al., 2009).”
Review of optical-based remote sensing for plant trait mapping (2013, background): “Plant 88 pigments are the most studied traits (Blackburn, 2007; Ustin et al., 2009) and among them 89 chlorophylls a and b (Cab) have received most attention (Haboudane et al., 2002; le Maire et 90 al., 2004; Malenovský et al., 2013; Schlerf et al., 2010; Zarco-Tejada et al., 2004), whereas…”
A physically-based model for retrieving foliar biochemistry and leaf orientation using close-range imaging spectroscopy (2016, neutral): “Interestingly, this pro ﬁ le is also similar to the contribution of the average leaf angle (ALA) to the PROSAIL model (Jacquemoud et al., 2009).”
Urban tree species mapping using hyperspectral and lidar data fusion (2014, background): “Within a single tree crown, leaf-level spectral reflectance may vary considerably as a function of biochemistry and water content (Cochrane, 2000; Ustin et al., 2009).”
Earth system science related imaging spectroscopy — an assessment (2009, background): “Topics suchasmapping biological soil crusts (Ustin et al., 2009;Weber et al., 2008),mapping desert surface grain size (Okin”
Sources of variability in canopy reflectance and the convergent properties of plants. (2011, methodology): “These include methods using laboratory- and field-based spectrometers (e.g. Sims & Gamon, 2002; Gitelson et al., 2006, 2009) as well as aircraft- and space-based imaging spectrometers (Ustin et al., 2009).”