Decadal Measurements of the First Geostationary Ocean Color Satellite (GOCI) Compared with MODIS and VIIRS Data SCIE SCOPUS

Cited 2 time in WEB OF SCIENCE Cited 2 time in Scopus
Title
Decadal Measurements of the First Geostationary Ocean Color Satellite (GOCI) Compared with MODIS and VIIRS Data
Author(s)
Park, Myung Sook; Lee, Seon Ju; Ahn, Jae Hyun; Lee, Sun Ju; Choi, Jong Kuk; Ryu, Joo Hyung
KIOST Author(s)
Park, Myung Sook(박명숙)Lee, Seon Ju(이선주)Ahn, Jae Hyun(안재현)Choi, Jong Kuk(최종국)Ryu, Joo Hyung(유주형)
Alternative Author(s)
박명숙; 이선주; 안재현; 이순주; 최종국; 유주형
Publication Year
2022-01
Abstract
The first geostationary ocean color data from the Geostationary Ocean Color Imager (GOCI) onboard the Communication, Ocean, and Meteorological Satellite (COMS) have been accumulating for more than ten years from 2010. This study performs a multi-year quality assessment of GOCI chlorophyll-a (Chl-a) and radiometric data for 2012–2021 with an advanced atmospheric correction technique and a regionally specialized Chl-a algorithm. We examine the consistency and stability of GOCI, Moderate Resolution Imaging Spectroradiometer (MODIS), and Visible Infrared Imaging Radiometer Suite (VIIRS) level 2 products in terms of annual and seasonal climatology, two-dimensional frequency distribution, and multi-year time series. Overall, the GOCI agrees well with MODIS and VIIRS on annual and seasonal variability in Chl-a, as the central biological pattern of the most transparent waters over the western North Pacific, productive waters over the East Sea, and turbid waters over the Yellow Sea are reasonably represented. Overall, an excellent agreement is remarkable for western North Pacific oligotrophic waters (with a correlation higher than 0.91 for Chl-a and 0.96 for band-ratio). However, the sporadic springtime overestimation of MODIS Chl-a values compared with others is notable over the Yellow Sea and East Sea due to the underestimation of MODIS blue-green band ratios for moderate-high aerosol optical depth. The persistent underes-timation of VIIRS Chl-a values compared with GOCI and MODIS occurs due to inherent sensor calibration differences. In addition, the artificially increasing trends in GOCI Chl-a (+0.48 mg m−3 per 9 years) arise by the decreasing trends in the band ratios. However, decreasing Chl-a trends in MODIS and VIIRS (−0.09 and −0.08 mg m−3, respectively) are reasonable in response to increasing sea surface temperature. The results indicate GOCI sensor degradation in the late mission period. The long-term application of the GOCI data should be done with a caveat, however; planned adjustments to GOCI calibration (2022) in the following GOCI-II satellite will essentially eliminate the bias in Chl-a trends. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
ISSN
2072-4292
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/42066
DOI
10.3390/rs14010072
Bibliographic Citation
Remote Sensing, v.14, no.1, 2022
Publisher
Multidisciplinary Digital Publishing Institute (MDPI)
Keywords
Remote sensing for climate application; Sensor calibration; Atmospheric correction; Chlorophyll-a concentration; Geostationary Ocean Color Satellite
Type
Article
Language
English
Document Type
Article
Publisher
Multidisciplinary Digital Publishing Institute (MDPI)
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