Spectral range sensitivity analysis to improve hyperspectral remote sensing of phytoplankton biodiversity in the ocean

Author(s):  
E. Torrecilla ◽  
J. Piera ◽  
A. Bracher ◽  
B. B. Taylor ◽  
A. Bernhardt
2015 ◽  
Vol 73 (5) ◽  
Author(s):  
W. C. Chew ◽  
A. M. S. Lau ◽  
K. D. Kanniah ◽  
N. H. Idris

Spectral variability analysis has been carried out on in-situ hyperspectral remote sensing data for 20 tree species available in tropical forest in Malaysia. Five different spectral ranges have been tested to evaluate the influence of intra-species spectral variability at specific spectral range given by different spatial scales (i.e. leaf to branch scales). The degree of intra-species spectral variability was not constant among different spectral ranges where the influence of spatial scale towards intra-species spectral variability at these spectral ranges was found increasing from leaf to branch scale. The ratio of leaves to non-photosynthetic tissues has made branch scale significantly influent the intra-species spectral variability. Results have shown that a specific spectral range was species sensitive on the intra-species and inter-species spectral variability in this study. This study also suggested the use of species sensitive wavelengths extracted from specific spectral range in hyperspectral remote sensing data in order to achieve good accuracy in tree species classification.


1997 ◽  
Author(s):  
Tom Wilson ◽  
Rebecca Baugh ◽  
Ron Contillo ◽  
Tom Wilson ◽  
Rebecca Baugh ◽  
...  

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