A simple sea fog prediction approach using GOCI observations and sea surface winds
Sign Up to like & getrecommendations! Published in 2018 at "Remote Sensing Letters"
DOI: 10.1080/2150704x.2017.1375609
Abstract: ABSTRACT In this paper, we have proposed a method of sea fog prediction using model sea surface wind (SSW) data and hourly optical satellite data with 500 m spatial resolution. Three sea fog cases in… read more here.
Keywords: sea fog; sea; sea surface; fog prediction ... See more keywords
A Probability-Based Daytime Algorithm for Sea Fog Detection Using GOES-16 Imagery
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2020.3036815
Abstract: Fog is a hazardous weather event that can endanger navigation, aviation, and transportation. While human has several limitations in detecting and forecasting offshore fog, satellite remote sensing offers cost-effective images. In this study, a probability-based… read more here.
Keywords: fog; fog detection; sea fog; probability ... See more keywords
A Correlation Context-Driven Method for Sea Fog Detection in Meteorological Satellite Imagery
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2021.3095731
Abstract: Sea fog detection is a challenging and essential issue in satellite remote sensing. Although conventional threshold methods and deep learning methods can achieve pixel-level classification, it is difficult to distinguish ambiguous boundaries and thin structures… read more here.
Keywords: fog detection; sea fog; context driven; correlation context ... See more keywords
Dual-Branch Neural Network for Sea Fog Detection in Geostationary Ocean Color Imager
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3196177
Abstract: Sea fog significantly threatens the safety of maritime activities. This article develops a sea fog detection dataset (SFDD) and a dual-branch sea fog detection network (DB-SFNet). We investigate all the observed sea fog events in… read more here.
Keywords: fog detection; sea fog; dual branch; sea ... See more keywords
Monitoring and analysis of sea fog in an offshore waterway using lidar
Sign Up to like & getrecommendations! Published in 2021 at "Optical Engineering"
DOI: 10.1117/1.oe.60.6.064103
Abstract: Abstract. Until now, sea fog monitoring relied mainly on point monitoring equipment, such as a forward scatter visibility sensor mounted on the shore or on an island, which produce non-ideal data during a variable and… read more here.
Keywords: lidar; fog monitoring; sea fog; sea ... See more keywords
Sea Fog Analysis Using Jeju Island GNSS Observables to Prevent Marine Accidents
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Coastal Research"
DOI: 10.2112/si91-070.1
Abstract: Ha, J.; Lee, J.K., and Park, S. J., 2019. Sea fog analysis using Jeju Island GNSS observables to prevent marine accidents. In: Lee, J.L.; Yoon, J.-S.; Cho, W.C.; Muin, M., and Lee, J. (eds.), The… read more here.
Keywords: marine accidents; gnss; fog; island ... See more keywords
A Comparison between 3DVAR and EnKF for Data Assimilation Effects on the Yellow Sea Fog Forecast
Sign Up to like & getrecommendations! Published in 2018 at "Atmosphere"
DOI: 10.3390/atmos9090346
Abstract: The data assimilation method to improve the sea fog forecast over the Yellow Sea is usually three-dimensional variational assimilation (3DVAR), whereas ensemble Kalman filter (EnKF) has not yet been applied to this weather phenomenon. In… read more here.
Keywords: assimilation; sea; fog forecast; yellow sea ... See more keywords