Algorithm for low-salinity plume in the East China Sea during the summer season using two-step empirical approach for GOCI and MODIS satellite sensors

Title
Algorithm for low-salinity plume in the East China Sea during the summer season using two-step empirical approach for GOCI and MODIS satellite sensors
Author(s)
손영백; 박광섭; 유주형; 최종국
KIOST Author(s)
Son, Young Baek(손영백)Park, Gwang Seob(박광섭)Ryu, Joo Hyung(유주형)Choi, Jong Kuk(최종국)
Publication Year
2018-10-10
Abstract
To detect and trace offshore surface low-salinity water (LSW) in the East China Sea, a proxy was developed using surface water beam attenuation coefficient (cp), and salinity matched with synchronous GOCI and MODIS satellite data from 15-year summer cruises (2003-2017) using a two-step empirical approach. First, a relationship between in situ salinity and cp was obtained. Second, in situ cp was matched with GOCI and MODIS radiance ratios of all available blue-to-green wavelengths. Finally, satellite-derived surface salinity was determined directly by combining the two empirical relationships, providing a robust estimate over a range of salinities (22-34 psu). Our algorithm was then compared with other salinity algorithms based on CDOM. This significantly improves the limited spatial and temporal resolution of surface salinity distribution obtained by shipboard sampling. The resulting correlation is best explained as mixing between low-salinity plume waters and around normal saline waters. The empirical relationships were used to map satellite-derived salinity using the average of GOCI images during each summer cruise. As expected for summer, spatial patterns of LSW plumes with high cp were connected to the mouth of the Changjiang River and extended to the east-northeast. Saline water with lower cp was confined to the warm current and upper slope in the eastern part of the study area. This proxy approach can be appliear summer cruises (2003-2017) using a two-step empirical approach. First, a relationship between in situ salinity and cp was obtained. Second, in situ cp was matched with GOCI and MODIS radiance ratios of all available blue-to-green wavelengths. Finally, satellite-derived surface salinity was determined directly by combining the two empirical relationships, providing a robust estimate over a range of salinities (22-34 psu). Our algorithm was then compared with other salinity algorithms based on CDOM. This significantly improves the limited spatial and temporal resolution of surface salinity distribution obtained by shipboard sampling. The resulting correlation is best explained as mixing between low-salinity plume waters and around normal saline waters. The empirical relationships were used to map satellite-derived salinity using the average of GOCI images during each summer cruise. As expected for summer, spatial patterns of LSW plumes with high cp were connected to the mouth of the Changjiang River and extended to the east-northeast. Saline water with lower cp was confined to the warm current and upper slope in the eastern part of the study area. This proxy approach can be applie
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/23082
Bibliographic Citation
2018 Ocean Optics XXIV, pp.1, 2018
Publisher
The
Type
Conference
Language
English
Publisher
The
Related Researcher
Research Interests

Coastal Remote Sensing,RS based Marine Surveillance System,GOCI Series Operation,연안 원격탐사,원격탐사기반 해양감시,천리안해양관측위성 운영

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