English   español  
Por favor, use este identificador para citar o enlazar a este item: http://hdl.handle.net/10261/9750
Compartir / Impacto:
Estadísticas
Add this article to your Mendeley library MendeleyBASE
Citado 19 veces en Web of Knowledge®  |  Ver citas en Google académico
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL
Exportar otros formatos: Exportar EndNote (RIS)Exportar bibText (RIS)Exportar csv (RIS)
Título

Model inversion for chlorophyll estimation in open canopies from hyperspectral imagery

Autor Kempeneers, P.; Zarco-Tejada, Pablo J. ; North, Peter R. J.; Backer, Steve de; Delalieux, S.; Sepulcre-Cantó, G. ; Morales Iribas, Fermín ; Aardt, J. A. N. van; Sagardoy Calderón, Ruth ; Coppin, P.; Scheunders, P.
Palabras clave Chlorophyll estimation
Model inversion
Fecha de publicación 2008
EditorTaylor & Francis
Citación International Journal of Remote Sensing Vol. 29, Nos. 17–18, September 2008, 5093–5111
ResumenThis paper presents the results of estimation of leaf chlorophyll concentration through model inversion, from hyperspectral imagery of artificially treated orchard crops. The objectives were to examine model inversion robustness under changing viewing conditions, and the potential of multi-angle hyperspectral data to improve accuracy of chlorophyll estimation. The results were compared with leaf chlorophyll measurements from laboratory analysis and field spectroscopy. Two state-of-the-art canopy models were compared. The first is a turbid medium canopy reflectance model (MCRM) and the second is a 3D model (FLIGHT). Both were linked to the PROSPECT leaf model. A linear regression using a single band was also performed as a reference. The different techniques were able to detect nutrient deficiencies that caused stress from the hyperspectral data obtained from the airborne AHS sensor. However, quantitative chlorophyll retrieval was found largely dependent on viewing conditions for regression and the turbid medium model inversion. In contrast, the 3D model was successful for all observations. It offers a robust technique to extract chlorophyll quantitatively from airborne hyperspectral data. When multi-angular data were combined, the results for both the turbid medium and 3D model increased. Final RMSE values of 5.8 mg cm-2 (MCRM) and 4.7 mg cm-2 (FLIGHT) were obtained for chlorophyll retrieval on canopy level.
Versión del editorhttp://dx.doi.org/10.1080/01431160802036458
URI http://hdl.handle.net/10261/9750
DOI10.1080/01431160802036458
ISSN0143-1161 (Print)
1366-5901 (Online)
Aparece en las colecciones: (EEAD) Artículos
(IAS) Artículos
Ficheros en este ítem:
No hay ficheros asociados a este ítem.
Mostrar el registro completo
 



NOTA: Los ítems de Digital.CSIC están protegidos por copyright, con todos los derechos reservados, a menos que se indique lo contrario.