DocumentCode :
2336284
Title :
Narrowband spectral indices for the estimation of chlorophyl along a precipitation gradient
Author :
Amiri, Reza ; Beringer, Jason ; Isaac, Peter
Author_Institution :
Sch. of Geogr. & Environ. Sci., Monash Univ., Clayton, VIC, Australia
fYear :
2011
fDate :
6-9 June 2011
Firstpage :
1
Lastpage :
4
Abstract :
Narrowband spectral indices have largely been used for the estimation of biochemical attributes of vegetation. However, most of the proposed indices were developed using a limited number of species and locations. In this study, a strong precipitation gradient in northern savannas of Australia was used to develop narrowband spectral indices for the estimation of leaf chlorophyll content and verify the spatial generality of the indices when applied to different species from different environmental conditions. Simple ratio indices (SRI) and normalized difference indices (NDI) were developed for samples taken from seven study sites along the transect. The results showed a limited transferability of the indices along the transect. Therefore, there is a need for more site-specific indices for large scale estimation of chlorophyll in the study area.
Keywords :
atmospheric precipitation; organic compounds; vegetation mapping; Australian northern savannas; environmental conditions; large scale chlorophyll estimation; leaf chlorophyll content; narrowband spectral indices; normalized difference indices; precipitation gradient; simple ratio indices; vegetation biochemical attribute estimation; Australia; Correlation; Estimation; Indexes; Narrowband; Reflectivity; Remote sensing; leaf chlorophyll content; northern Australian tropical transect; spectral index; transferability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2011 3rd Workshop on
Conference_Location :
Lisbon
ISSN :
2158-6268
Print_ISBN :
978-1-4577-2202-8
Type :
conf
DOI :
10.1109/WHISPERS.2011.6080952
Filename :
6080952
Link To Document :
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