2012
DOI: 10.1029/2012jc008046
|View full text |Cite
|
Sign up to set email alerts
|

GOCI, the world's first geostationary ocean color observation satellite, for the monitoring of temporal variability in coastal water turbidity

Abstract: [1] The primary advantage of the Geostationary Ocean Color Imager (GOCI), the world's first geostationary ocean color observation satellite, over other ocean color satellite imagers is that it can obtain data every hour during the daytime, allowing ocean monitoring in near real time. Here, we investigated temporal variation in turbidity along a coastal region. To estimate suspended sediment concentrations (SSC), water samples and radiometric data were collected from waters in the Mokpo coastal area, located al… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

2
139
0
2

Year Published

2014
2014
2018
2018

Publication Types

Select...
10

Relationship

1
9

Authors

Journals

citations
Cited by 228 publications
(152 citation statements)
references
References 34 publications
2
139
0
2
Order By: Relevance
“…In 2010, South Korea launched the world's first geostationary orbit ocean color sensor, GOCI [25]. The observation range of GOCI is 2500 km × 2500 km, which covers the Yangtze estuary, China's …”
Section: Satellite Imagesmentioning
confidence: 99%
“…In 2010, South Korea launched the world's first geostationary orbit ocean color sensor, GOCI [25]. The observation range of GOCI is 2500 km × 2500 km, which covers the Yangtze estuary, China's …”
Section: Satellite Imagesmentioning
confidence: 99%
“…The Geostationary Ocean Color Imager (GOCI), launched in 2010 as the first ocean color imager in geostationary orbit (GEO), observes East Asia eight times per day from 00:30 to 07:30 Coordinated Universal Time (UTC; 09:30 to 16:30 Korea Standard Time (KST); Choi et al, 2012). Using the radiance measurements from eight spectral channels (412,443,490,555,660,680,745, and 865 nm) with high spatial resolution (500 m × 500 m), the GOCI Yonsei aerosol retrieval (YAER) version 1 (V1) algorithm was developed to retrieve hourly aerosol optical properties such as aerosol optical depth (AOD) with simple diagnostic parameters such as fine-mode fraction (FMF), Ångström exponent (AE), and single-scattering albedo (SSA; Choi et al, 2016).…”
mentioning
confidence: 99%
“…Already South Korea has launched the GEO GOCI satellite to monitor ocean color in the Korean Sea at 500 m spatial resolution (Choi et al, 2012). GEO satellites can be expensive and high mission costs of the US GEO-CAPE instrument (~$2 billion) have delayed that project (Fishman et al, 2012).…”
Section: An African Geostationary Observation Platformmentioning
confidence: 99%