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dc.contributor.authorMiller, John R.-
dc.contributor.authorMoreno, José-
dc.contributor.authorZarco-Tejada, Pablo J.-
dc.contributor.authorAlonso, Luis-
dc.contributor.authorHaboudane, D.-
dc.descriptionIn Proceedings of the First International Sysmposium on Recent Advances in Quantitative Remote Sensing, Valencia, Spain, 16-20 September, 2002.en_US
dc.description.abstractThe use of combined leaf and canopy models to retrieve biophysical crop variables are increasingly thought to provide an effective means of providing quantitative input needed to determine stress condition and improve crop yield predictions based on physiological condition. Nevertheless, the sensitivity of such retrieval results to changes in view and sun angle are needed if efficient single-view optical image data are to attain operational agriculture use. Although some studies have been carried out using synthetic model data, similar studies using real data have been very limited due to the unavailability of such data sets. In this research the focus is on the retrieval of leaf pigment (chlorophyll a+b). Some recent studies have demonstrated modelbased retrievals of leaf chlorophyll with RMSEs <5 mg/cm2 by comparison with field sampling and subsequent laboratory chemical analysis. The research reported here uses the extensive DAISEX data set acquired at Barrax, Spain in 1999 and 2000. Airborne data collection strategies provided DAIS, ROSIS and HyMap hyperspectral data in which various field study plots have been observed under widely varying view angles and also at significantly different solar zenith angle. Nearly simultaneously, a comprehensive field data set was acquired on specific crop plots which provided measurements of the following relevant crop variables among others: LAI, percent vegetation cover, leaf chlorophyll content, biomass, leaf and canopy water content, and soil reflectance. We use a combined modeling and indices-based approach, which predicts the leaf chlorophyll content while minimizing LAI influence and underlying soil effects. The sensitivity of leaf chlorophyll predictions with changes in view and sun angle are reported and analyzed through modeling studies for a range of plots in the DAISEX data set.en_US
dc.format.extent70146 bytes-
dc.subjectPhysiological conditionen_US
dc.titleLeaf Pigment retrievals from DAISEX data for crops at BARRAX: Effects of sun-angle and view-angle on inversion resultsen_US
dc.typecomunicación de congresoen_US
dc.description.peerreviewedPeer revieweden_US
Appears in Collections:(IAS) Comunicaciones congresos
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