Marghany, Maged and Hashim, Mazlan (2010) MODIS satellite data for modeling chlorophyll-a concentrations in Malaysian coastal waters. International Journal Of Physical Sciences , 5 (10). 1489 - 1495. ISSN 1992-1950
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This study is compared among four algorithms for mapping chlorophyll-a spatial variations from MODIS satellite data along the east coast of Malaysia. These algorithms are: (i) Aiken’s, (ii) Clark-3-bands, (iii) Gordon and (iv) Normalized Difference Chlorophyll Index (NDCI) algorithm. The results show that the Aiken’s algorithm is appropriate for accurately synoptic chlorophyll mapping distribution. In fact, the algorithm performs the lowest root mean square error of ±0.10 mg/ m3 as compared to other algorithms. In conclusion, MODIS data can be used as a computing tool for accurately mapping chlorophyll concentration along the coastal water of Malaysia with the implementation of Aiken’s algorithm.
|Uncontrolled Keywords:||MODIS satellite data, chlorophyll, aiken’s algorithm, clark-3-band algorithm, gordon algorithm|
|Divisions:||Geoinformation and Real Estate|
|Deposited By:||Liza Porijo|
|Deposited On:||29 Jun 2012 01:22|
|Last Modified:||08 Feb 2017 07:41|
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