Publication
Title
Model inversion for chlorophyll estimation in open canopies from hyperspectral imagery
Author
Abstract
This 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 µg cm-2 (MCRM) and 4.7 µg cm-2 (FLIGHT) were obtained for chlorophyll retrieval on canopy level.
Language
English
Source (journal)
International journal of remote sensing. - London
Publication
London : 2008
ISSN
0143-1161
Volume/pages
29:17/18(2008), p. 5093-5111
ISI
000258923500014
Full text (Publisher's DOI)
UAntwerpen
Faculty/Department
Research group
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identification
Creation 28.01.2009
Last edited 10.07.2017
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