Results 111 to 120 of about 793 (204)

Preliminary Study of Validation for the Geostationary Ocean Color Imager (GOCI)

, 2010
In order to provide quantitative control of the standard products of Geostationary Ocean Color Imager (GOCI), on-board radiometric correction, atmospheric correction, and bio-optical algorithm are obtained continuously by comprehensive and consistent ...
심재설, 민지은, 문정언, 조성익, 유주형, 안재현, 안유환, 손영백   +7 more
core   +1 more source

Estimation of ocean environmental information from the Geostationary Ocean Color Imager (GOCI) series

The ocean color provides environmental information from underwater colored constituents such as phytoplankton, inorganic suspended particles, detritus, and dissolved organic matter.
Lee, Sun Ju, Choi, Jong Kuk, Moon, Jeong Eon, Bae, Su Jung, Ahn, Jae Hyun, Lee, Eun Kyung, Park, Myung Sook, Lee, Kyeong-Sang, Han, Tai Hyun, Kim, Min Sang, Jang, Eunna   +10 more
core  

Operational application service of Geostationary Ocean Color Imager (GOCI)

, 2018
The Korea Ocean Satellite Center (KOSC) of the Korea Institute of Ocean Science & Technology (KIOST) is main data managing center of Geostationary Ocean Color Imager (GOCI), launched in 2010. The distribution of GOCI data was started in April, 2011 after
최우창, 박영제, 조성익, 배상수, 김광석   +4 more
core  

Real-time detection of harmful algal blooms using GOCI II and buoy-based dissolved oxygen variations

Environmental Research Letters
Harmful algal blooms (HABs) threaten aquatic ecosystems and water quality, necessitating timely monitoring. Traditional satellite observations, including high-frequency sensors like Geostationary Ocean Color Imager II (GOCI-II), are often hindered by ...
Jiarui Shi, He Qin, Jinghua Cheng, Jie Xu, Ge Liu, Zuchuan Li, Kaishan Song   +6 more
doaj   +1 more source

The implication of the air quality pattern in South Korea after the COVID-19 outbreak. [PDF]

Sci Rep, 2020
Koo JH, Kim J, Lee YG, Park SS, Lee S, Chong H, Cho Y, Kim J, Choi K, Lee T.   +9 more
europepmc   +1 more source

High Spatial-Resolution Red Tide Detection in the Southern Coast of Korea Using U-Net from PlanetScope Imagery. [PDF]

Sensors (Basel), 2021
Shin J, Jo YH, Ryu JH, Khim BK, Kim SM.
europepmc   +1 more source

Multi-Scale Validation of Suspended Sediment Retrievals in Dynamic Estuaries: Integrating Geostationary and Low-Earth-Orbiting Optical Imagery for Hangzhou Bay

Remote Sensing
Water color remote sensing is vital for the monitoring and quantification of marine suspended sediment dynamics and their distributions. Yet validations of these observables in coastal regions and deltaic estuaries, including the Hangzhou Bay in the East
Yi Dai, Jiangfei Wang, Bin Zhou, Wangbing Liu, Ben Wang, C. K. Shum, Xiaohong Yuan, Zhifeng Yu   +7 more
doaj   +1 more source

Mission and user requirements of geostationary ocean color imager-II (GOCI-II)

, 2010
Geostationary Ocean Color Imager(GOCI-I), the World’s fi rst spaceborne ocean color observation geostationary satellite, was successfully launched on 27 July 2010.
조성익, 안유환, 유주형
core  

GOCI-II Ocean Color Algorithm Development Environment

, 2018
In 2019, Geostationary Ocean Color Imager– II (GOCI-II), the follow-up satellite sensor of GOCI, will be launched. GOCI-II will observe 2 more ocean color images (8 times for GOCI) a day for 5 more spectral bands (8 bands for GOCI) than GOCI. Also,
이태경, 허웅, 정재훈, 곽성희, 양현, 허재무, 한희정   +6 more
core  

Applications of Machine Learning in Chemical and Biological Oceanography. [PDF]

ACS Omega, 2023
Sadaiappan B, Balakrishnan P, C R V, Vijayan NT, Subramanian M, Gauns MU.   +5 more
europepmc   +1 more source