Article
Environmental Sciences
Min-Sun Lee, Kyung-Ae Park, Fiorenza Micheli
Summary: The newly developed normalized red tide index (NRTI) uses Geostationary Ocean Color Imager (GOCI) data to detect red tides by observing spectral characteristics of red tides and sea water in coastal regions. A formulation to calculate red tide density using GOCI data is proposed based on the high correlation between the NRTI and red tide density. The methodology developed in this study is anticipated to be applicable to other ocean color satellite data and regions globally, enhancing the capacity to quantify and track red tides in real-time.
Article
Environmental Sciences
Min Zhao, Yan Bai, Hao Li, Xianqiang He, Fang Gong, Teng Li
Summary: This study established an FLH retrieval algorithm suitable for GOCI, significantly improving data availability and FLH inversion results, achieving good performance in spatial resolution and consistency with other satellite data.
Article
Engineering, Electrical & Electronic
Sumin Ryu, Sungwook Hong
Summary: This study proposes a deep learning model using CGAN technique to generate daytime visible and near infrared bands by combining data from different sensors. The results show a high correlation between the generated simulation and real observations, demonstrating the effectiveness of the deep learning technique in improving temporal resolution for ocean color studies.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2021)
Article
Environmental Sciences
Kyeong-Sang Lee, Eunkyung Lee, Donghyun Jin, Noh-Hun Seong, Daeseong Jung, Suyoung Sim, Kyung-Soo Han
Summary: This study describes the land atmospheric correction algorithm and evaluates the results of the Geostationary Ocean Color Imager (GOCI) in observing land surface reflectance (LSR) by comparing it with Moderate Resolution Imaging Spectroradiometer (MODIS) and in-situ data. The results show that GOCI LSR has similar spatial distribution and quantity compared to MODIS LSR, and highly correlates with in-situ reference LSR with low error. The GOCI LSR also effectively captures seasonal variation and phenological dynamics. Furthermore, the estimated uncertainty in GOCI LSR is within a reasonable range even under high solar zenith angles.
Article
Remote Sensing
Menghua Wang, Wei Shi, Lide Jiang
Summary: Through the use of GOCI measurements on the COMS satellite, we have identified and quantified some advantages and applications of satellite geostationary measurements compared to polar-orbiting satellites. The GOCI measurements in the western Pacific Ocean show significant diurnal variability in ocean color properties, particularly in highly turbid coastal regions. Comparisons with measurements from VIIRS in different years have shown consistent results.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2023)
Article
Environmental Sciences
Seoyoung Lee, Minseok Kim, Seung-Yeon Kim, Dong-Won Lee, Hanlim Lee, Jhoon Kim, Sophia Le, Yang Liu
Summary: This study used geostationary satellite measurements and modeling to assess the impact of aerosol long-range transport (LRT) on air quality in South Korea. The findings showed that during LRT events, PM2.5 concentrations in Seoul increased by 52% to 81%, with LRT contributing up to 33% of PM2.5 concentrations.
ENVIRONMENTAL POLLUTION
(2021)
Article
Geochemistry & Geophysics
Cheng-Chien Liu
Summary: This article discusses the development of a satellite image-matching system (SIMS) that can detect and track ocean surface features from GOCI data, thereby gaining a better understanding of ocean surface currents.
IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE
(2021)
Article
Environmental Sciences
Zifeng Hu, Lan Li, Jun Zhao, Dongxiao Wang
Summary: This study develops an objective method by combining maximum cross-correlation (MCC) and multivariate optimum interpolation (MOI) analysis to improve the reliability and accuracy of satellite-derived velocity fields.
Article
Environmental Sciences
Zhi Huang, Jianyu Hu, Weian Shi
Summary: This study used satellite data to map and quantitatively analyze coastal upwelling along the Taiwan east coast during the summer monsoon season, showing evidence of seasonal upwelling influenced by southwest/south winds. The results indicate three broad upwelling centers in the north, central, and south, with the northern center having the longest upwelling season lasting from May to September, and larger extents between June and August during the peak of the summer monsoon.
Article
Remote Sensing
Yuye Huang, Shilin Tang, Jie Wu
Summary: This study employed a new remote sensing technology to construct a Chl-a inversion model in the Pearl River Estuary, demonstrating better monitoring capabilities for Chl-a concentration in coastal and estuarial waters. Results showed that the model outperformed other state-of-the-art models in accuracy and match, indicating high potential for practical application.
INTERNATIONAL JOURNAL OF REMOTE SENSING
(2021)
Article
Geosciences, Multidisciplinary
Mehrshad Foroughan, Seyed Mahmood Hamze-Ziabari, Ulrich Lemmin, David Andrew Barry
Summary: This study documented for the first time the presence of frontal slick in a lake, indicating the formation of submesoscale fronts. The sharpening of temperature gradient in the submesoscale created an active front with strong convergent flow.
GEOPHYSICAL RESEARCH LETTERS
(2022)
Article
Geography, Physical
Ganghan Kim, Seunghee Lee, Jungho Im, Chang-Keun Song, Jhoon Kim, Myong-in Lee
Summary: The study developed an aerosol data assimilation and forecast system using the WRF-Chem model and 3D-VAR data assimilation method, which improves aerosol forecast skill by assimilating AOD from the GOCI satellite and surface PM observations. The results show that assimilating surface PM has a more significant effect on skill improvement compared to assimilating GOCI AOD.
GISCIENCE & REMOTE SENSING
(2021)
Article
Geochemistry & Geophysics
Yuan Zhou, Keran Chen, Xiaofeng Li
Summary: This article develops a sea fog detection dataset and a dual-branch sea fog detection network, which can accurately detect sea fog and extract discriminative features, resulting in good detection results and stability.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Environmental Sciences
Youzhi Ma, Wenbin Yin, Zheng Guo, Jiliang Xuan
Summary: In this study, surface flow fields in the East China Sea were estimated using geostationary satellite data and the maximum cross-correlation algorithm. The inversion results were validated against modeled tidal current and measured tidal elevation data, demonstrating their reliability. The research findings provide valuable data support for the study of local ocean dynamics and verify the reliability of short-period surface flow inversion using geostationary satellites in high-turbidity waters.
Article
Multidisciplinary Sciences
Joan Villalonga, Angel Amores, Sebastia Monserrat, Marta Marcos, Damia Gomis, Gabriel Jorda
Summary: The Hunga Tonga-Hunga Ha'apai volcano eruption in January 2022 caused a global atmospheric and oceanic response that was recorded by a significant number of sensors. The eruption created an atmospheric disturbance that traveled around the Earth multiple times, and its effects were observed by numerous barographs worldwide. The disturbance produced complex patterns of amplitude and spectral energy in the atmosphere, with most of the energy concentrated in the 2-120 minute band. Additionally, strong sea level oscillations were recorded by tide gauges globally, indicating a global meteotsunami phenomenon.
SCIENTIFIC REPORTS
(2023)
Article
Oceanography
Wenbin Yin, Daji Huang
JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS
(2019)
Article
Environmental Sciences
Shiming Lu, Mingjun He, Shuangyan He, Shuo He, Yunhe Pan, Wenbin Yin, Peiliang Li
Summary: The research proposes an improved cloud masking method that can accurately identify cloud positions and shapes, while retaining pixels in turbid waters. This method is suitable for typical turbid coastal waters and has the potential to be used in cloud masking procedures of spaceborne ocean color sensors without short-wave infrared bands.
Article
Environmental Sciences
Wenbin Yin, Youzhi Ma, Dian Wang, Shuangyan He, Daji Huang
Summary: This study utilizes a sea surface temperature gradient-based upwelling detection algorithm and satellite data to explore the statistical features, seasonal variations, and short-term variations of the Zhoushan upwelling. The findings reveal a monthly migration in the location of the upwelling center and the clustering of potential upwelling spots in areas with large topographic gradients. The short-term variations have a lifecycle of approximately 24 hours with intensification and decay stages.
Article
Oceanography
Yunfei Du, Jicai Zhang, Zilu Wei, Wenbin Yin, Hui Wu, Yeping Yuan, Ya Ping Wang
Summary: Modulated by complex processes, suspended sediment fronts (SSFs) on the inner shelf of the East China Sea persist and vary notably. Frontal activity is mainly confined to nearshore waters and influenced by bottom topography and tide-induced mixing. The seasonal cycle dominates the variability of SSFs, with the highest frontal probability in winter and hindrance of frontogenesis in summer. The discharge of the Yangtze River and the El Nino-Southern Oscillation also impact the variability of SSFs.
JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS
(2022)
Article
Environmental Sciences
Youzhi Ma, Wenbin Yin, Zheng Guo, Jiliang Xuan
Summary: In this study, surface flow fields in the East China Sea were estimated using geostationary satellite data and the maximum cross-correlation algorithm. The inversion results were validated against modeled tidal current and measured tidal elevation data, demonstrating their reliability. The research findings provide valuable data support for the study of local ocean dynamics and verify the reliability of short-period surface flow inversion using geostationary satellites in high-turbidity waters.
Article
Environmental Sciences
Changlong Feng, Wenbin Yin, Shuangyan He, Mingjun He, Xiaoxia Li
Summary: This study assesses the accuracy of sea surface temperature (SST) datasets obtained from four satellites in the Bohai-Yellow-East China Sea region. The results show strong correlation between satellite and in situ data, but with variability in accuracy among the satellites. The study also identifies spatial and temporal disparities in the deviations of the satellite datasets from a benchmark dataset.
