Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/10720
Título : Estimation of leaf and canopy variables on EU high-value crops with hyperspectral remote sensing and 3-D models: integration of methods with precision agriculture
Autor : Zarco-Tejada, Pablo J., Berjón, A., Morales, A., Cachorro, V., Agüera, J., Miller, J. R., Rodríguez, A. J., Martín Muñoz, Antonio Pedro, Frutos, A.
Palabras clave : Hyperspectral
Remote sensing
Radiative transfer
Olea europaea
Chlorophyll
Fecha de publicación : 2003
Resumen: Research work conducted under the European Union HySens project aimed to investigate physical methods with ROSIS and DAIS 7915 high-spatial hyperspectral remote sensing imagery to estimate leaf biochemical and canopy biophysical variables in Olea europaea L. and Vitis vinifera L. canopies. Successful demonstration of accurate estimation of biophysical variables in these crops is critical for the development of effective precision agriculture management practices. Leaf chlorophyll a+b (Ca+b) and leaf area index (LAI) are indicators of stress and growth that can be estimated by remote sensing in the 400-2500 nm region.
Descripción : 4th European Conference on Precision Agriculture, 4th ECPA, Berlin, June 15-19th, 2003.
URI : http://hdl.handle.net/10261/10720
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