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Please use this identifier to cite or link to this item: http://hdl.handle.net/2067/1399

Title: Estimation of maize canopy properties from remote sensing by inversion of 1-D and 4-D models
Authors: Casa, Raffaele
Baret, Fréderic
Buis, Samuel
Lopez-Lozano, Raul
Pascucci, Simone
Palombo, Angelo
Jones, Hamlyn G.
Keywords: Multiple-look-angle
Prospect sail
Leaf area index (LAI)
Leaf inclination distribution function (LIDF)
Average leaf inclination angle (ALA)
Issue Date: 2010
Publisher: Springer-Verlag
Citation: Casa, R. et al. 2010. Estimation of maize canopy properties from remote sensing by inversion of 1-D and 4-D models. "Precision Agriculture" 11(4):319-334
Abstract: The inversion of canopy reflectance models is widely used for the retrieval of vegetation properties from remote sensing. However the accuracy of the estimates depends on a range of factors, most notably the realism with which the canopy is represented by the models and the possibility of introducing a priori knowledge on canopy characteristics to constrain the inversion procedure. The objective of the present work was to compare the performances and operational limitations of two contrasti
Description: L'articolo é disponibile sul sito dell'editore: http://www.springerlink.com
DOI: 10.1007/s11119-010-9162-9
URI: http://hdl.handle.net/2067/1399
ISSN: 1385-2256
Appears in Collections:DIPROV - Archivio della produzione scientifica

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