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dc.contributor.authorLatorre Carmona, Pedro
dc.contributor.authorKnyazikhin, Yuri
dc.contributor.authorAlonso, Luis
dc.contributor.authorMoreno, José F.
dc.contributor.authorPla, Filiberto
dc.contributor.authorYang, Yan
dc.date.accessioned2015-07-13T12:05:03Z
dc.date.available2015-07-13T12:05:03Z
dc.date.issued2014
dc.identifier.issn1545-598X
dc.identifier.urihttp://hdl.handle.net/10234/127465
dc.description.abstractScattering 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.ca_CA
dc.format.mimetypeapplication/pdfca_CA
dc.language.isoengca_CA
dc.publisherIEEEca_CA
dc.relation.isPartOfGeoscience and Remote Sensing Letters, IEEE, 2014, vol. 11, nº 9ca_CA
dc.rights(c) 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.ca_CA
dc.subjectcanopy structureca_CA
dc.subjecthyperspectral remote sensingca_CA
dc.subjectleaf biochemical constituentca_CA
dc.subjectleaf opticsca_CA
dc.subjectspectral invariantsca_CA
dc.titleOn Hyperspectral Remote Sensing of Leaf Biophysical Constituents: Decoupling Vegetation Structure and Leaf Optics Using CHRIS–PROBA Data Over Crops in Barraxca_CA
dc.typeinfo:eu-repo/semantics/articleca_CA
dc.identifier.doihttp://dx.doi.org/10.1109/LGRS.2014.2305168
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca_CA
dc.relation.publisherVersionhttp://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6747962ca_CA


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