Summary of Abstract Submission

Abstract Submission No. IO50-09-0026PresentationPoster


Monolisha S*1, Trevor Platt2, Shubha Sathyendranath2, J. Jayasankar1, Grinson George1

1 Central Marine Fisheries Research Institute, Kochi ¿ 682 018, In, India
2 Plymouth marine Laboratory, Plymouth, Devon PL1 3DH, United Kingdom, United Kingdom


Coastal waters are optically diverse and studying optical characteristics of coastal regions, marginal seas and large inland water bodies is an important application of satellite oceanography. This work is an attempt towards identification of distinct optical classes in the coastal regions of the northern Indian Ocean using the satellite-derived RRS (remote sensing reflectance) at six different wavebands in the visible, corresponding to the SeaWiFS wavebands. Optical classification is based on the fuzzy logic method according to Moore et al. (2009). Two classifications are presented and compared: one is based on Mélin et al. (2015) and relies on a global classification of coastal waters; the second classification is based on samples of RRS from the northern Indian Ocean. Both classifications are applied to the northern Indian Ocean using RRS data from the Ocean Colour Climate Change Initiative (OC-CCI, see The OC-CCI merged data were used for the analysis because of the better data coverage for the study area. The ecological implications of the optical provinces revealed by the classification, especially with respect to fisheries in Indian coastal waters is analyzed. [Keywords: Coastal ecosystems, Satellite Ocean colour, Classification, Remote sensing reflectance, ecosystem management]