Initial Validation of GOCI Water Products against in situ Data Collected around Korean Peninsula for 2010-2011 SCIE SCOPUS KCI

Cited 39 time in WEB OF SCIENCE Cited 43 time in Scopus
Title
Initial Validation of GOCI Water Products against in situ Data Collected around Korean Peninsula for 2010-2011
Author(s)
Moon, Jeong-Eon; Park, Young-Je; Ryu, Joo-Hyung; Choi, Jong-Kuk; Ahn, Jae-Hyun; Min, Jee-Eun; Son, Young-Baek; Lee, Sun-Ju; Han, Hee-Jeong; Ahn, Yu-Hwan
KIOST Author(s)
Moon, Jeong Eon(문정언)Park, Young Je(박영제)Ryu, Joo Hyung(유주형)Choi, Jong Kuk(최종국)Ahn, Jae Hyun(안재현)Son, Young Baek(손영백)
Publication Year
2012-09
Abstract
This paper provides initial validation results for GOCI-derived water products using match-ups between the satellite and ship-borne in situ data for the period of 2010-2011, with a focus on remote-sensing reflectance (R-rs). Match-up data were constructed through systematic quality control of both in situ and GOCI data, and a manual inspection of associated GOCI images to identify pixels contaminated by cloud, land and inter-slot radiometric discrepancy. Efforts were made to process and quality check the in situ R-rs data. This selection process yielded 32 optimal match-ups for the R-rs spectra, chlorophyll a concentration (Chl_a) and colored dissolved organic matter (CDOM), and with 20 match-ups for suspended particulate matter concentration (SPM). Most of the match-ups are located close to shore and thus the validation should be interpreted limiting to near-shore coastal waters. The R-rs match-ups showed the mean relative errors of 18-33% for the visible bands with the lowest 18-19% for the 490 nm and 555 nm bands and 33% for the 412 nm band. Correlation for the R-rs match-ups was high in the 490-865 nm bands (R-2-0.72-0.84) and lower in the 412 nm band (R-2=0.43) and 443 nm band (R-2-0.66). The match-ups for Chl_a showed a low correlation (<0.41) although the mean absolute percentage error was 35% for the GOCI standard Chl_a. The CDOM match-ups showed an even worse comparison with R-2<0.2. These match-up comparison for Chl_a and CDOM would imply the difficulty to estimate Chl_a and CDOM in near-shore waters where the variability in SPM would dominate the variability in R-rs. Clearly, the match-up statistics for SPM was better with R-2=0.73 and 0.87 for two evaluated algorithms, although GOCI-derived SPM overestimated low concentration and underestimated high concentration. Based on this initial match-up analysis, we made several recommendations -1) to collect more offshore under-water measurements of the R-rs data, 2) to include quality flags in level-2 products, 3) to introduce an ISRD correction in the GOCI processing chain, 4) to investigate other types of in-water algorithms such as semi-analytical ones, and 5) to investigate vicarious calibration for GOCI data and to maintain accurate and consistent calibration of field radiometric instruments.
ISSN
1738-5261
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/3566
DOI
10.1007/s12601-012-0027-1
Bibliographic Citation
OCEAN SCIENCE JOURNAL, v.47, no.3, pp.261 - 277, 2012
Publisher
KOREA OCEAN RESEARCH DEVELOPMENT INST
Subject
REMOTE-SENSING REFLECTANCE; OCEAN-COLOR PRODUCTS; AEROSOL OPTICAL-THICKNESS; ABSORPTION-COEFFICIENTS; VICARIOUS CALIBRATION; COASTAL WATERS; SEAWIFS DATA; RETRIEVAL; PHYTOPLANKTON; SPECTRUM
Keywords
CDOM; chlorophyll; GOCI; remote sensing; SPM; validation; water reflectance
Type
Article
Language
English
Document Type
Article
Publisher
KOREA OCEAN RESEARCH DEVELOPMENT INST
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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