Results 11 to 20 of about 793 (204)
Suspended Particle Size Retrieval Based on Geostationary Ocean Color Imager (GOCI) in the Bohai Sea [PDF]
Journal of Coastal Research, 2016 ABSTRACT Jiang, D. J.; Zhang, H.; Zou, T.; Li, Y. F.; Tang C., and Li, R. Z., 2016. Suspended particle size retrieval based on Geostationary Ocean Color Imager (GOCI) in the Bohai Sea. The suspended particle size has an important effect on the settling velocity of particles, the penetration of sunlight into the sea and the transmission of sound.
Dejuan Jiang +5 more
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Monitoring the Characteristics of the Bohai Sea Ice Using High-Resolution Geostationary Ocean Color Imager (GOCI) Data [PDF]
Sustainability, 2019 Satellite remote sensing data, such as moderate resolution imaging spectroradiometers (MODIS) and advanced very high-resolution radiometers (AVHRR), are being widely used to monitor sea ice conditions and their variability in the Bohai Sea, the southernmost frozen sea in the Northern Hemisphere.
Yu Yan, Dongdong Shao, Shao Dongdong
exaly +3 more sources
Environmental Pollution, 2021 To better understand air quality issues in South Korea, it is essential to identify the main contributors of air pollution and to quantify the effects of transboundary transport. In this study, geostationary satellite measurements were used to assess the effects of aerosol transport on air quality in South Korea.
Seoyoung Lee +2 more
exaly +3 more sources
Harmful Algae, 2018 Accurate and timely quantification of widespread harmful algal bloom (HAB) distribution is crucial to respond to the natural disaster, minimize the damage, and assess the environmental impact of the event. Although various remote sensing-based quantification approaches have been proposed for HAB since the advent of the ocean color satellite sensor ...
Wonkook Kim, Jae-Hyun Ahn
exaly +3 more sources
GEO-KOMPSAT-2A/2B AMI/GOCI-II/GEMS Data & Products [PDF]
Geo Data, 2022 Two geostationary satellites developed by the Korea Aerospace Research Institute and currently in operation are the GEO-KOMPSAT-2A (GK-2A) and the GEO-KOMPSAT-2B (GK-2B).
Sungsik Huh, Kyoung-Wook Jin
doaj +1 more source
Data Processing System for the Geostationary Ocean Color Imager (GOCI)
KIISE Transactions on Computing Practices, 2017 세계 최초의 정지궤도 해양관측위성 센서인 천리안해양관측위성(Geostationary Ocean Color Imager; GOCI)은 적조, 녹조, 모자반, 냉수대, 태풍 등의 해양재해를 실시간으로 모니터링하여 피해를 최소화하는데 활용될 수 있다. 이와 같은 활용성을 극대화하기 위해, 이 논문에서는 천리안해양관측위성의 자료처리 방법 및 절차에 관하여 기술하고 있다. 천리안해양관측위성의 자료처리는 크게 수신, 처리, 저장, 배포로 구분되며, 자료의 종류는
Hyun Yang +4 more
openaire +2 more sources
Improvement of GOCI-II Water Vapor Absorption Correction through Fusion with GK-2A/AMI Data
Remote Sensing, 2023 In remote sensing of the ocean color, in particular, in coarse-resolution global model simulations, atmospheric trace gases including water vapor are generally treated as auxiliary data, which create uncertainties in atmospheric correction.
Kyeong-Sang Lee +3 more
doaj +1 more source
Korean Journal of Remote SensingSince the launch of the Geostationary Ocean Color Imager (GOCI), the world’s first geostationary ocean color satellite, in 2010, and its successor, GOCI-II, in 2020, these satellites have made substantial contributions to advancing ocean color monitoring
Joo-Hyung Ryu, Donguk Lee, Minju Kim
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 This study presents a deep learning model, using the conditional generative adversarial nets (CGAN) technique, that can produce daytime visible (VIS) band information, mimicking a narrow band sensor, by combining VIS and infrared (IR) broadband ...
Sumin Ryu, Sungwook Hong
doaj +1 more source
GOCI Yonsei Aerosol Retrieval (YAER) algorithm and validation during the DRAGON-NE Asia 2012 campaign [PDF]
Atmospheric Measurement Techniques, 2016 The Geostationary Ocean Color Imager (GOCI) onboard the Communication, Ocean, and Meteorological Satellite (COMS) is the first multi-channel ocean color imager in geostationary orbit.
M. Choi +12 more
doaj +1 more source