Results 91 to 100 of about 1,837,672 (176)

Development of the next geostationary ocean color imager, GOCI-II

, 2015
Imager (GOCI), the first pathfinder of ocean color remote sensing in geostationary orbit from 2010, necessity of succession of GOCI mission after the expected lifetime by 2018, is gradually increasing into the international ocean color remote sensing ...
오은송, 안기범, 박영제, 조성익, 안유환   +4 more
core  

Improving GOCI ocean color data under high solar-zenith angle over open oceans using neural networks

GIScience & Remote Sensing
With hourly measurements available during daytime between local times of 09:00–16:00, ocean color data derived from the Geostationary Ocean Color Imager (GOCI) onboard the Korean Communication, Ocean, and Meteorological (COMS) satellite have been useful ...
Xiaoming Liu, Menghua Wang
doaj   +1 more source

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  

USER REQUIREMENTS OF NEXT GEOSTATIONARY OCEAN COLOR IMAGER

, 2010
Geostationary Ocean Color Imager (GOCI-I), the world’s first space-borne ocean color observation geostationary satellite, was launched on June 2010. Development of GOCI-I took about 6 years, and its expected lifetime is about 7 years.
조성익, 유주형, 안유환
core  

Retrieval of suspended sediment concentration in the coastal waters of yellow Sea from Geostationary Ocean Color Imager (GOCI)

, 2013
In this study we developed two different types of SSC algorithms, one is the empirical algorithm and the other one is the semi-analytical model based algorithm.
민지은, 박영제, 유주형, 최종국   +3 more
core  

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

Coastal water quality estimation from Geostationary Ocean Color Imager (GOCI) satellite data using machine learning approaches

, 2014
It is important to monitor coastal water quality using key parameters such as chlorophyll-a concentration and suspended sediment to better manage coastal areas as well as to better understand the natre of biophysical processes in coastal seawater. Remote
Miae Kim, Yong Hoon Kim, Jungho Im, Hokyung Ha, Sunghyun Ha, 최종국   +5 more
core  

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

RADIOMETRIC CALIBRATION AND VALIDATION PLAN OF GEOSTATIONARY OCEAN COLOR IMAGER (GOCI)

, 2009
Geostationary Ocean Color Imager (GOCI) is the first ocean observation imager in geostationary orbit,and it is one of the three main payloads in Communication, Ocean and Meteorological Satellite (COMS)which is scheduled to be launched in 2009.
양찬수, 조성익, 안유환, 유주형, 한희정   +4 more
core