Spectral Spectral characteristics of the green and golden tide in the Yellow Sea and East China Sea of the green and golden tide in the Yellow Sea and East China Sea

Title
Spectral Spectral characteristics of the green and golden tide in the Yellow Sea and East China Sea of the green and golden tide in the Yellow Sea and East China Sea
Author(s)
Son, Young Baek; Choi, Jong Kuk
KIOST Author(s)
Son, Young Baek(손영백)Choi, Jong Kuk(최종국)
Alternative Author(s)
손영백; 최종국
Publication Year
2022-10-04
Abstract
The Yellow Sea (YS) and East China Sea (ECS) have the world’s largest supply of floating algae. The green and golden tides appear mainly in the YS and ECS, but become entangled as they drift. The floating algae obstructs navigation and is a huge socioeconomic problem in the vicinity of coastal areas. To manage these floating algae more systematically, a method of distinguishing between the green and golden tides is required. In this study, the spectral characteristics of green and golden tides appearing in the YS and ECS were investigated, based on which a classification method was proposed and applied to satellite sensors. First, we measured the reflectance of Ulva prolifera and Sargassum horneri, which are the major causative species of green and golden tides in the YS and ECS. Under visible light, the reflectance of U. prolifera increased at 555 nm, and that of S. horneri increased at 602 and 646 nm and decreased at 632 nm. To distinguish the two algae, we proposed a method based on the red and green reflectance slope (slope of red-green; SRG). U. prolifera exhibited SRG that was always negative, whereas that of S. horneri was always positive. When the SRG was applied to the difference in reflectance values between floating algae and nearby water detected in satellite imagery, the green tide was always negative, and the golden tide was always positive.
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/43439
Bibliographic Citation
Ocean Optics Conference 2022, 2022
Publisher
The Oceanography Society (TOS)
Type
Conference
Language
English
Files in This Item:
There are no files associated with this item.

qrcode

Items in ScienceWatch@KIOST are protected by copyright, with all rights reserved, unless otherwise indicated.

Browse