Displaying 1 publication

Abstract:
Sort:
  1. Md. Suffian, I., Nurhafiza, R., Noor Hazwani, M.A.
    MyJurnal
    This study presents an empirical approach for estimating sea surface salinity (SSS) from remote sensing
    of ocean colour. The analysis is based on two important empirical relationships of in-water optical
    properties. The first involves the behaviour of the optical properties of coloured dissolved organic matter
    (CDOM) under conservative mixing along the salinity gradient. The second is the tight relationship
    between CDOM and water-leaving radiance. Our results showed that CDOM absorption coefficients
    in ultra-violet wavelengths (350 and 380 nm) can be best estimated using the blue-green band ratio
    Rrs(412/547) with a R2
    value of 0.87. It was also found that the absorption coefficient of CDOM in
    the study area was tightly correlated with the salinity (R2
    ≈0.83); however, the data indicate that this
    relationship may be dependent on freshwater flow and the intensity of vertical mixing. During the wet
    and well-mixed season (Northeast monsoon), CDOM was almost conservative with salinity but tended
    to behave non-conservatively during the dry and stratified season (Southwest monsoon). These resulting
    empirical relationships allow CDOM and salinity in the study area to be estimated from satellite ocean
    colour data. Validation using independent datasets showed that the algorithms for CDOM and salinity
    perform relatively well with the RMS error of 0.04 m-1 and 0.30`, respectively, over a range of salinity
    from 30` to 33`. The ability of the algorithm to predict salinity as those presented in this study can be
    further improved using more independent tests with in-situ and satellite bio-optical measurements.
Related Terms
Filters
Contact Us

Please provide feedback to Administrator (afdal@afpm.org.my)

External Links