High time-resolution Remote Sensing

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Research Background

Investigating the diurnal variations in suspended matter concentration (SPM), chlorophyll-a (Chl-a), and water transparency (TD) holds significant scientific importance in the realm of carbon cycle research in coastal waters, flow field dynamics, and atmospheric correction of second-class water bodies. Presently, the primary data sources employed to study the intraday fluctuations of SPM, Chl-a, and TD in highly dynamic nearshore water bodies encompass ocean model simulation data, buoy observations, and geostationary satellite retrieval products. Ocean numerical models enable a comprehensive examination of the dynamic mechanisms underlying the intraday changes in SPM, Chl-a, and TD in coastal waters. However, accurately simulating these parameters proves challenging due to the complex hydrodynamic conditions prevalent in coastal areas. Buoy observations, while capable of capturing the intraday variations of SPM, Chl-a, and TD at fixed locations with high precision, fail to provide insights into the continuous spatial characteristics of these variables. Geostationary satellite remote sensing, on the other hand, facilitates repeated observations of the Earth within a single day, boasting a high temporal resolution. Consequently, this approach offers a promising avenue for studying the diurnal variation characteristics and patterns of SPM, Chl-a, and TD in highly dynamic nearshore regions.

Drawing upon the existing advancements in intraday monitoring of suspended particulate matter (SPM), chlorophyll-a (Chl-a), and water transparency (TD) in highly dynamic offshore water bodies both domestically and internationally, this study leverages the availability of eight-hourly high-frequency images(08:30-15:30,Beijing time)obtained from the Geostationary Ocean Color Imager (GOCI). These images facilitate effective SPM, Chl-a and TD observation in environments characterized by high turbidity and dynamic water conditions. By capitalizing on the ocean water color elements observed through GOCI, this study enhances the temporal resolution and coverage duration of the observations.

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Figures

  • Fig.1 Multi-Year Average (2011-2018) Spatial Distribution of Chlorophyll-a

    Fig.1 Multi-Year Average (2011-2018) Spatial Distribution of Chlorophyll-a

  • Fig.3 Multi-Year Average (2011-2018) Spatial Distribution of Sea Water Transparency

    Fig.3 Multi-Year Average (2011-2018) Spatial Distribution of Sea Water Transparency

  • Fig.2 Multi-Year Average (2011-2018) Spatial Distribution of Suspended Particles

    Fig.2 Multi-Year Average (2011-2018) Spatial Distribution of Suspended Particles

Scientific Progress

This study utilized the GOCI (Geostationary Ocean Color Imager) data spanning from 2011 to 2018 to acquire a comprehensive set of GOCI SPM (Suspended Particulate Matter), Chl-a (Chlorophyll-a), and TD (Total Dissolved) products for the western Pacific Ocean water body. The data was collected on an hourly, daily, monthly, seasonal, and yearly basis. Furthermore, the study examined the Bohai Sea (GOB), the North Yellow Sea (GON), Subei Shoal (GOS), Yangtze River Estuary (GOC), and the western waters of the Korean Peninsula (GOK) to establish time-series analyses encompassing hourly, daily, monthly, seasonal, and yearly variations in GOCI SPM, Chl-a, and TD products.

This research rigorously investigates and presents the spatiotemporal distribution patterns of marine water color environmental elements in the region under the context of daily high-frequency observations. The findings of this study offer fundamental data support for various fields, including marine environmental water protection, fishery resource development, and water environmental dynamics in the study area.

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References

1. Ding, Xiaosong, Xianqiang He, Yan Bai, Qiankun Zhu, Fang Gong, Hao Li, and Jiajia Li. 2020. “High-Frequency and Tidal Period Observations of Suspended Particulate Matter in Coastal Waters by AHI/Himawari-8.” Optics Express 28 (19): 27387–404. https://doi.org/10.1364/OE.401323.
2. Ding, Xiaosong, Xianqiang He, Yan Bai, Jiajia Li, Yuzhuang Xu, Xiao Wang, and Qiankun Zhu. 2022. “Requirement on the Diurnal Observation Frequency for Satellite Remote Sensing of Photosynthetically Available Radiation.” Optics Express 30 (6): 9021–34. https://doi.org/10.1364/OE.451207.

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