English   español  
Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/10720
Share/Impact:
Statistics
logo share SHARE   Add this article to your Mendeley library MendeleyBASE
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL
Exportar a otros formatos:
Title

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

AuthorsZarco-Tejada, Pablo J. ; Berjón, A.; Morales, Arturo ; Cachorro, V.; Agüera, Juan; Miller, John R.; Rodríguez, A. J.; Martín, Antonio ; Frutos, Ángel de
KeywordsHyperspectral
Remote sensing
Radiative transfer
Olea europaea
Chlorophyll
Issue Date2003
AbstractResearch 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.
Description4th European Conference on Precision Agriculture, 4th ECPA, Berlin, June 15-19th, 2003.
URIhttp://hdl.handle.net/10261/10720
Appears in Collections:(IAS) Comunicaciones congresos
Files in This Item:
File Description SizeFormat 
31-a.pdf10,55 kBAdobe PDFThumbnail
View/Open
31-b.pdf104,95 kBAdobe PDFThumbnail
View/Open
Show full item record
Review this work
 


WARNING: Items in Digital.CSIC are protected by copyright, with all rights reserved, unless otherwise indicated.