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Open Access item Leaf Biochemistry Estimation on EU High-Value Crops with ROSIS and DAIS Hyperspectral Data and Radiative Transfer Simulation
|Authors:||Zarco-Tejada, Pablo J.|
Miller, J. R.
Rodríguez, A. J.
Martín Muñoz, Antonio Pedro
|Keywords:||Chlorophyll content, Olive tree, Vineyard, Hyperspectral, Remote sensing, Radiative transfer, FLIM|
|Abstract:||This manuscript provides a description of progress made on the investigation of estimation of leaf biochemistry on
high-value crops using hyperspectral remote sensing imagery. Hyperspectral optical indices related to leaf
chlorophyll content were used to test different assumptions under open and row-crop canopies, specifically Olea
europaea L. (olive trees) and Vitis vinifera L. (vineyards). Scaling-up methods were tested as a function of the
different spatial resolutions of ROSIS and DAIS datasets acquired over two olive groves and ten vineyard fields in
southern and northern Spain, respectively, during the HySens 2002 campaign. Leaf-level biochemical estimation
from 1-m ROSIS and 5-m DAIS data required different modeling assumptions, enabling in some cases the use of
PROSPECT-SAILH radiative transfer simulation when targeting olive-tree crowns. At lower spatial resolutions the
soil and shadow scene components were considered through the linked PROSPECT-SAILH-FLIM models. These
considerations along with the calculation of predictive equations using MCARI/OSAVI to minimize soil
background variations in these canopies are also discussed.|
|Description:||3rd EARSeL WORKSHOP on IMAGING SPECTROSCOPY, pp. 597-602, Munich, Germany, 13-16 May 2003|
|Appears in Collections:||(IAS) Comunicaciones congresos|
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