Abstract

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.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.