On Hyperspectral Remote Sensing of Leaf Biophysical Constituents: Decoupling Vegetation Structure and Leaf Optics Using CHRIS–PROBA Data Over Crops in Barrax
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Other documents of the author: Latorre Carmona, Pedro; Knyazikhin, Yuri; Alonso, Luis; Moreno, José F.; Pla, Filiberto; Yang, Yan
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Title
On Hyperspectral Remote Sensing of Leaf Biophysical Constituents: Decoupling Vegetation Structure and Leaf Optics Using CHRIS–PROBA Data Over Crops in BarraxAuthor (s)
Date
2014Publisher
IEEEISSN
1545-598XType
info:eu-repo/semantics/articlePublisher version
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6747962Version
info:eu-repo/semantics/publishedVersionSubject
Abstract
Scattering from a leaf responds differently at different
wavelengths to changes in leaf properties such as pigment
concentrations, chemical constituents, internal structure,
and leaf-surface properties. Radiation ... [+]
Scattering from a leaf responds differently at different
wavelengths to changes in leaf properties such as pigment
concentrations, chemical constituents, internal structure,
and leaf-surface properties. Radiation scattered by leaves and exiting
the vegetation canopy toward the sensor is affected by canopy
structure. The concept of canopy spectral invariants is used
to decompose multiangular hyperspectral Compact High Resolution
Imaging Spectroradiometer–PROBA surface reflectances
over agricultural crops during peak growth season into structural
and optical components. The former, called the directional
area scattering factor, is determined by the canopy geometrical
properties and varies with crop type. The latter is a function of
the leaf scattering properties and more directly related to the
leaf interior. For dense crops, the decomposition technique does
not require the use of canopy radiation models, prior knowledge,
or ancillary information regarding the leaf scattering properties
and thus provides a powerful means to remove canopy structural
influences in hyperspectral remote sensing of leaf biochemical constituents.
Our results also suggest that leaf-surface characteristics
can increase canopy scattering spectra. This may decrease the
ability to remotely sense leaf biochemistry. [-]
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Geoscience and Remote Sensing Letters, IEEE, 2014, vol. 11, nº 9Rights
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