Results 11 to 20 of about 274 (160)

Observing the Ocean Submesoscale with Enhanced-Color GOES-ABI Visible Band Data [PDF]

Sensors, 2019
Ocean color remote sensing has long been utilized as a fundamental research tool in the oceanographic investigations of coupled biological-physical processes. Despite numerous technical advances in the application of space borne ocean-viewing radiometers,
Jason K. Jolliff, M. David Lewis, Sherwin Ladner, Richard L. Crout   +3 more
doaj   +2 more sources

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, Yu Yan
exaly   +3 more sources

Satellite‐Observed Hourly Chlorophyll Variability Associated With Solar Radiation in China's Marginal Seas

Geophysical Research Letters
Understanding sub‐daily variability in phytoplankton proxies is essential for interpreting satellite estimates of ocean productivity in marginal seas. Using high‐frequency observations from the Geostationary Ocean Color Imager (GOCI), we assess daytime ...
Jian Wang, Deyong Sun, Shengqiang Wang, Xin Zhang, Zishen Li, Yu Huan, Lijing Gao   +6 more
doaj   +2 more sources

Assessment of long-range transboundary aerosols in Seoul, South Korea from Geostationary Ocean Color Imager (GOCI) and ground-based observations

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.
, Jhoon Kim, Hanlim Lee
exaly   +3 more sources

Remote quantification of Cochlodinium polykrikoides blooms occurring in the East Sea using geostationary ocean color imager (GOCI)

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 ...
Jae-Hyun Ahn, Wonkook Kim, Young-Je Park   +2 more
exaly   +3 more sources

A Weighted Algorithm Based on Normalized Mutual Information for Estimating the Chlorophyll-a Concentration in Inland Waters Using Geostationary Ocean Color Imager (GOCI) Data [PDF]

Remote Sensing, 2015
Due to the spatiotemporal variations of complex optical characteristics, accurately estimating chlorophyll-a (Chl-a) concentrations in inland waters using remote sensing techniques remains challenging. In this study, a weighted algorithm was developed to estimate the Chl-a concentrations based on spectral classification and weighted matching using ...
, Qingjiu Tian, Tian Qingjiu
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

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, Myung-Sook Park, Jong-Kuk Choi, Jae-Hyun Ahn   +3 more
doaj   +1 more source

Hypothetical Product Generation of Geostationary Ocean Color Imager Bands Over the Yellow Sea and Bohai Sea Using Deep Learning Technique

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, J. Kim, J. Lee, M. Kim, Y.-J. Park, U. Jeong, W. Kim, H. Hong, B. Holben, T. F. Eck, C. H. Song, J.-H. Lim, C.-K. Song   +12 more
doaj   +1 more source