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Al-Naimi, N, Raitsos, DE, Ben-Hamadou, R and Soliman, Y 2017 Evaluation of Satellite Retrievals of Chlorophyll-a in the Arabian Gulf. Remote Sensing, 9 (3). 301. https://doi.org/10.3390/rs9030301
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Abstract/Summary
The Arabian Gulf is a highly turbid, shallow sedimentary basin whose coastal areas have been classified as optically complex Case II waters (where ocean colour sensors have been proved to be unreliable). Yet, there is no such study assessing the performance and quality of satellite ocean-colour datasets in relation to ground truth data in the Gulf. Here, using a unique set of in situ Chlorophyll-a measurements (Chl-a; an index of phytoplankton biomass), collected from 24 locations in four transects in the central Gulf over six recent research cruises (2015–2016), we evaluated the performance of VIIRS and other merged satellite datasets, for the first time in the region. A highly significant relationship was found (r = 0.795, p < 0.001), though a clear overestimation in satellite-derived Chl-a concentrations is evident. Regardless of this constant overestimation, the remotely sensed Chl-a observations illustrated adequately the seasonal cycles. Due to the optically complex environment, the first optical depth was calculated to be on average 6–10 m depth, and thus the satellite signal is not capturing the deep chlorophyll maximum (DCM at ~25 m). Overall, the ocean colour sensors’ performance was comparable to other Case II waters in other regions, supporting the use of satellite ocean colour in the Gulf. Yet, the development of a regional-tuned algorithm is needed to account for the unique environmental conditions of the Gulf, and ultimately provide a better estimation of surface Chl-a in the region.
| Item Type: | Publication - Article |
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| Subjects: | Earth Observation - Remote Sensing |
| Divisions: | Plymouth Marine Laboratory > National Capability categories > National Centre for Earth Observation Plymouth Marine Laboratory > Science Areas > Earth Observation Science and Applications |
| Depositing User: | Dr Dionysios Raitsos |
| Date made live: | 28 Nov 2017 14:12 |
| Last Modified: | 25 Apr 2020 09:58 |
| URI: | https://plymsea.ac.uk/id/eprint/7626 |
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