Publication: Sea surface multispectral index model for estimating chlorophyll a concentration of productive coastal waters in Thailand
Issued Date
2009-01-01
Resource Type
ISSN
17127971
07038992
07038992
DOI
Other identifier(s)
2-s2.0-77952782570
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Mahidol University
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SCOPUS
Bibliographic Citation
Canadian Journal of Remote Sensing. Vol.35, No.3 (2009), 287-296
Suggested Citation
Suwisa Mahasandana, Nitin Kumar Tripathi, Kiyoshi Honda Sea surface multispectral index model for estimating chlorophyll a concentration of productive coastal waters in Thailand. Canadian Journal of Remote Sensing. Vol.35, No.3 (2009), 287-296. doi:10.5589/m09-017 Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/27524
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Title
Sea surface multispectral index model for estimating chlorophyll a concentration of productive coastal waters in Thailand
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Abstract
Chlorophyll a (Chl a) concentration in water can be estimated using remote sensing methodology. This study uses Chl a high absorption and high reflectance wavelengths to produce indices stable for Chl a monitoring. The relationships between the indices and Chl a are determined and then applied to satellite bands for model development. The sea surface spectrum was measured in situ using a portable spectrometer, and Chl a concentration was analyzed in the laboratory. Satellite images were obtained from Landsat-5 for the day of sampling. The results of a three-band index from the spectrometer composed of wavelengths 435, 488, and 692 nm indicate the most significant correlation with Chl a concentration. The exponential relation was observed with the highest correlation coefficient of r2= 0.83. The index model was applied to Landsat-5 data, and the observed Chl a dataset was compared with that estimated from Landsat-5. This analysis gave a high correlation of r2= 0.73. © 2009 CASI.