Assessment of long-term consistency of ocean-color satellite-derived chlorophyll-a products in the Persian Gulf
- سال انتشار: 1401
- محل انتشار: فصلنامه بین المللی مهندسی سواحل، فراسواحل و محیط زیست، دوره: 7، شماره: 3
- کد COI اختصاصی: JR_IJCOE-7-3_003
- زبان مقاله: انگلیسی
- تعداد مشاهده: 211
نویسندگان
Iranian National Institute of Oceanography and Atmospheric Science (INIOAS)
چکیده
Over the past two decades, several ocean color satellites have operated in parallel. The combination of different ocean color satellite sensor products is a vital task for studying the biogeochemistry of seas. In this study, we evaluated the temporal consistency of the monthly time-series and monthly interannual variations of satellite-derived chlorophyll-a concentrations (Chl-a) from four satellite sensors during ۲۰۰۲-۲۰۲۰ period over the Persian Gulf. Statistical correlation between Chl-a time series and anomalies from selected satellite sensors were significantly correlated for ۸۴% area of the Persian Gulf. Correlations were reasonably sensitive to the choice of Chl-a retrieval and atmospheric correction algorithms. The standard algorithms for Chl-a retrieval showed the lowest value of correlations, and it was indicated that these algorithms were not suitable for Chl-a estimations from satellite sensors over the Persian Gulf. The OCI algorithm for Chl-a retrieval showed more consistency among different satellite sensors and it was shown that it is more suitable than previous ones for estimation of Chl-a from selected satellite sensors. Also, it was shown that the SeaDAS and POLYMER atmospheric correction algorithms have a great influence on the Chl-a estimations from selected satellite sensors. It was shown that more than ۷۰% of the study area indicated imperfect consistency between selected atmospheric correction algorithms applied on different satellite sensors. Choosing the best atmospheric correction and Chl-a retrieval algorithms is the most important task in the estimation and utilization of Chl-a in the Persian Gulf.کلیدواژه ها
Remote Sensing, Ocean color, Atmospheric Correction, coastal waters, Correlation analysisاطلاعات بیشتر در مورد COI
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