2007
DOI: 10.1016/j.csr.2007.02.004
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The Hillarys Transect (3): Optical and chlorophyll relationships across the continental shelf off Perth

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Cited by 9 publications
(3 citation statements)
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“…For such an assessment to be of value to future inferences of phytoplankton productivity (e.g., hotspots or anomalous productivity events) from satellite-derived surface chlorophyll data, it is imperative to ensure that depthintegrated values capture DCMs and that satellite remote sensing accurately reflects in situ conditions. While previous studies have touched on these topics, they were either spatiotemporally restricted (e.g., Hanson et al, 2005aHanson et al, , b, 2007Fearns et al, 2007;Twomey et al, 2007;Koslow et al, 2008;Chen et al, 2019) or based on discontinued satellite data (i.e., SeaWIFS, concluded in 2010; Koslow et al, 2008). Hence, this study assessed temporal patterns in water column stratification, DCM formation, and DCM characteristics (i.e., type, depth, width); analysed the relationship between surface and depth-integrated chlorophyll values; and validated satellite-derived against in situ chlorophyll measurements.…”
mentioning
confidence: 99%
“…For such an assessment to be of value to future inferences of phytoplankton productivity (e.g., hotspots or anomalous productivity events) from satellite-derived surface chlorophyll data, it is imperative to ensure that depthintegrated values capture DCMs and that satellite remote sensing accurately reflects in situ conditions. While previous studies have touched on these topics, they were either spatiotemporally restricted (e.g., Hanson et al, 2005aHanson et al, , b, 2007Fearns et al, 2007;Twomey et al, 2007;Koslow et al, 2008;Chen et al, 2019) or based on discontinued satellite data (i.e., SeaWIFS, concluded in 2010; Koslow et al, 2008). Hence, this study assessed temporal patterns in water column stratification, DCM formation, and DCM characteristics (i.e., type, depth, width); analysed the relationship between surface and depth-integrated chlorophyll values; and validated satellite-derived against in situ chlorophyll measurements.…”
mentioning
confidence: 99%
“…The good knowledge of the AOPs and IOPs of the water under investigation is necessary in the study of its bio-optical state and hereafter its color identity. Spectral variations in the optically marine constituents coupled with changes in distribution and abundance of each, lead to variations in the color of the ocean (Fearns et al, 2007). The basic classification of the seawater in Case-1 and Case-2 waters leads to an inaccurate bio-optical estimation of the marine environment, so as suggested by Mobley et al (2004), it is time to drop the above classification and focus on modeling water bodies according to whatever constituents are in the water column.…”
Section: Discussionmentioning
confidence: 99%
“…It concludes with a brief evaluation of the suitability of the data set for the validation of satellite SSST imagery, A more thorough description of the SST measurement component of the Hillarys Transects in given in [2]. Other elements of the cruise are discussed more fully in associated literature; the general oceanography in [1]; the optical and chlorophyll measurement programs for monitoring nutrients and validating satellite ocean colour imagery in [3] and [4]; numbers and distribution of fish larvae in [5] and [6].…”
Section: Introductionmentioning
confidence: 98%