Evaluation of chlorophyll retrievals from Geostationary Ocean Color Imager (GOCI) for the North-East Asian region SCIE SCOPUS

Cited 34 time in WEB OF SCIENCE Cited 37 time in Scopus
Title
Evaluation of chlorophyll retrievals from Geostationary Ocean Color Imager (GOCI) for the North-East Asian region
Author(s)
Kim, Wonkook; Moon, Jeong-Eon; Park, Young-Je; Ishizaka, Joji
KIOST Author(s)
Moon, Jeong Eon(문정언)Park, Young Je(박영제)
Publication Year
2016-10
Abstract
Estimation of chlorophyll concentration in the marine biosphere has been the central topic of ocean color remote sensing since its advent. While various algorithms were proposed in the literature so far and tested for oceanic waters of diverse constituent composition, an independent algorithm evaluation is needed for local ocean waters that have dynamic variation in optically active water constituents such as colored dissolved organic matters (CDOM) and suspended particulate matter (SPM). This paper evaluates the performance of chlorophyll algorithms for Geostationary Ocean Color Imager (GOCI) radiometric data, using in situ measurements collected at 491 stations around Korea Peninsula during 2010-2014 from which there were 130 match-ups with GOCI data. For the evaluation in areas with high variation in SPM, water samples were first classified into three levels of SPM, and then the coefficients of candidate algorithms were newly derived for the turbidity cases using the in situ and GOCI remote sensing reflectance (R-rs) data. Functional forms of traditional band ratio algorithms (e.g. OC algorithms (O'Reilly et al., 1998) and Tassan's algorithm (Tassan, 1994)), fluorescence line height algorithm, and near-infrared-to-red band ratio approach were tested. The evaluation results for the coincident in situ pairs of R-rs and chlorophyll measurements showed that the mean uncertainty was <35% with the correlation around 0.8 by using the 00 with turbidity consideration (OCT) and Tassan's algorithm with turbidity dependent coefficients (Tassan-TD). For the GOCI match-ups, the mean uncertainty for all turbidity levels was around 35% with correlation around 0.65, when OCT and Tassan-TD were used. (C) 2016 Elsevier Inc. All rights reserved.
ISSN
0034-4257
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/1432
DOI
10.1016/j.rse.2016.07.031
Bibliographic Citation
REMOTE SENSING OF ENVIRONMENT, v.184, pp.482 - 495, 2016
Publisher
ELSEVIER SCIENCE INC
Subject
TURBID PRODUCTIVE WATERS; VICARIOUS CALIBRATION; A CONCENTRATION; GLOBAL-SCALE; COASTAL; ALGORITHMS; MODIS; SEA; REFLECTANCE; VALIDATION
Keywords
Geostationary Ocean Color Imager; GOCI; Chlorophyll-a concentrations; Ocean color; Phytoplankton pigments; Case-2; Korea; North-East Asia
Type
Article
Language
English
Document Type
Article
Publisher
ELSEVIER SCIENCE INC
Related Researcher
Research Interests

Ocean Color Remote Sensing,Satellite Applications,Ocean color Algorithm,해양원격탐사,위성활용,해색 알고리즘

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