Results 61 to 70 of about 412 (172)

Sargassum Detection Using Machine Learning Models: A Case Study with the First 6 Months of GOCI-II Imagery

Remote Sensing, 2021
A record-breaking agglomeration of Sargassum was packed along the northern Jeju coast in Korea in 2021, and laborers suffered from removing them from the beach.
Jisun Shin, Jong-Seok Lee, Lee-Hyun Jang, Jinwook Lim, Boo-Keun Khim, Young-Heon Jo   +5 more
doaj   +1 more source

A Cloud Screening Preprocessing Framework for GOCI‐II Aerosol Optical Depth: Development and Impact on Retrieval Errors

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 1, 16 January 2026.
Abstract Accurate retrieval of satellite‐derived aerosol optical depth (AOD) is critical for air quality forecasting, especially when AOD is assimilated into models. However, if retrieval errors in the satellite‐derived AOD are not corrected or characterized, they can lead to false analysis increments and ultimately degrade the quality of data ...
Joonhee Kim, Ukkyo Jeong, Sang‐Woo Kim, Yonghee Lee, Taehee Kim, Hyeong‐Ahn Kwon, Sang‐Moo Lee   +6 more
wiley   +1 more source

A novel quantitative analysis for diurnal dynamics of Ulva prolifera patch in the Yellow Sea from Geostationary Ocean Color Imager observation

Frontiers in Marine Science, 2023
IntroductionIn the last decade, the outbreak of large-scale green tides caused by Ulva prolifera has continuously occurred in the Yellow Sea. Satellite remote sensing techniques have been widely used to monitor the distribution area and duration of green
He Cui, He Cui, Jianyu Chen, Jianyu Chen, Xiaoyi Jiang, Yu Fu, Feng Qiao   +6 more
doaj   +1 more source

Exploiting Machine Learning to Develop Ocean Color Retrievals From the Tropospheric Emissions: Monitoring of Pollution Instrument

Earth and Space Science, Volume 12, Issue 11, November 2025.
Abstract Retrievals of ocean color (OC) properties from space are important for understanding the ocean ecosystem, the carbon cycle, and monitoring events such as harmful algal blooms (HABs). The recently launched U.S. National Aeronautics and Space Administration (NASA) Earth Venture Instrument, the geostationary Tropospheric Emissions: Monitoring of ...
Z. Fasnacht, J. Joiner, M. Bandel, A. Ibrahim, A. Heidinger, M. D. Himes, J. Allen, J. Carr, X. Liu, H. Chong, N. Krotkov   +10 more
wiley   +1 more source

Wintertime Trends of Fine Particulate Matter (PM2.5) in South Korea, 2012–2022: Response of Nitrate and Organic Components to Decreasing NOx Emissions

Geophysical Research Letters, Volume 52, Issue 19, 16 October 2025.
Abstract We analyze 2011–2022 trends in wintertime fine particulate matter (PM2.5) and its composition in South Korea using surface network data and machine learning. PM2.5 decreased nationwide by 1.2 μg m−3 per year after correcting for meteorology.
Drew C. Pendergrass, Daniel J. Jacob, Yujin J. Oak, Ruijun Dang, Laura Hyesung Yang, Ellie Beaudry, Nadia K. Colombi, Shixian Zhai, Hwajin Kim, Jin‐soo Choi, Jin‐soo Park, Soontae Kim, Ke Li, Hong Liao   +13 more
wiley   +1 more source

Diurnal Variability of Submesoscale Chlorophyll‐a Fronts Revealed by Hourly Geostationary Satellite Observations

Geophysical Research Letters, Volume 52, Issue 19, 16 October 2025.
Abstract The detection of submesoscale fronts is critical for understanding physical‐biological interactions and ecosystem variability. This study characterizes the diurnal variability of chlorophyll‐a (Chl‐a) fronts using hourly data from the geostationary satellite GK‐2B/GOCI‐II in the East/Japan Sea.
Hye‐Jin Woo, Kyung‐Ae Park, Peter C. Cornillon   +2 more
wiley   +1 more source

A Systematic Review of the Application of the Geostationary Ocean Color Imager to the Water Quality Monitoring of Inland and Coastal Waters

Remote Sensing
In recent decades, eutrophication in inland and coastal waters (ICWs) has increased due to anthropogenic activities and global warming, thus requiring timely monitoring. Compared with traditional sampling and laboratory analysis methods, satellite remote
Shidi Shao, Yu Wang, Ge Liu, Kaishan Song   +3 more
doaj   +1 more source

Estimating and validating instantaneous PAR from GOCI-I data

Optics Express
Geostationary-orbit sensors provide high-frequency observations, offering advantages over sun-synchronous sensors for studying short-term ocean dynamics, particularly in regions such as the East Sea/Japan Sea and Yellow Sea, where daily variability is significant.
Deuk-Jae Hwang, Robert Frouin, Jing Tan, Jae-Hyun Ahn, Kyeong-Sang Lee, Jeong Eon Moon, Jong-Kuk Choi   +6 more
openaire   +2 more sources

Daily Sun‐induced chlorophyll fluorescence vs. irradiance curves reflect the photoadaptation of phytoplankton in surface waters

Limnology and Oceanography, Volume 70, Issue 4, Page 1001-1015, April 2025.
Abstract Phytoplankton chlorophyll Sun‐induced fluorescence is observable in the upwelling light field of the ocean. This allows its observation by radiometers in situ or on satellite sensors. Since it is influenced by both biomass and physiology it can potentially provide information about both.
Yannick Huot, David Antoine, Vincenzo Vellucci   +2 more
wiley   +1 more source

Enhancing Sea Surface Current Retrieval From Geostationary Ocean Color Imager Observations: Multispectral Optimization and Validation With HF Radar

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Understanding surface current variability is critical for marine environmental monitoring and oceanographic applications. This study assesses the performance of the Geostationary Ocean Color Imager (GOCI) in retrieving sea surface currents using the ...
Zifeng Hu, Xiaodong Chen, Junfang Lin, Katsuto Uehara, Linke Yuan, Jian Zhou   +5 more
doaj   +1 more source