Application of Geostationary Ocean Color Imager Data to the extraction of ocean fronts

Spatio‐Temporal Variability of Suspended Sediment Fronts (SSFs) on the Inner Shelf of the East China Sea: The Contribution of Multiple Factors

“…The distribution of SSFs in estuaries and coastal waters can be affected by topography (Framinan & Brown, 1996; Jaureguizar et al., 2003; Kirby & Parker, 1982; H. Yang et al., 2016). For instance, Framinan and Brown (1996) and Jaureguizar et al.…”

“…For example, previous studies have demonstrated that GOCI‐derived SSC images could be applied to highly turbid coastal waters (Choi et al., 2014; H. Yang, Choi, et al., 2014). GOCI Level‐2 SSC data were used to validate the model simulation results in the ECS (Y. Wang, Wu, Lin, et al., 2019) and extract SSFs in the Yellow Sea (Hu et al., 2016), Gyeonggi Bay (H. Yang et al., 2016), the ECS (Yin & Huang, 2016), and over the Yangtze Bank (Y. Zhou, Xuan, et al., 2020). Rather than estimating SSCs, we specifically focus on SSF dynamics based on the hourly SSC data obtained for the 10‐year period from April 1, 2011, to March 31, 2021.…”

“…For satellite data, extracting ocean fronts is a key step in describing the frontal features in areas involving complex dynamic processes (Belkin, 2021). At present, several methods have been applied to extract SSFs from satellite images, including: (a) selecting a threshold SSC value as the front (Ge et al., 2020; Hafeez et al., 2021; Min et al., 2014; Wu et al., 2016), (b) histogram‐based edge detection algorithms (Miller, 2004; H. Yang et al., 2016), (c) Sobel gradient‐based edge extraction algorithms (Y. Yang & Pang, 2012), (d) entropy‐based edge detection algorithms (Hu et al., 2016), (e) the GRIDHIST method (Kirches et al., 2016), and (f) quantitative and qualitative methods based on reflectance gradients and SSC gradients (Framinan & Brown, 1996; Jaureguizar et al., 2003; Nagy et al., 2008; Yin & Huang, 2016; Y. Zhou, Xuan, et al., 2020). These methods have been applied to a variety of satellite datasets including GOCI, Advanced Very High‐Resolution Radiometer (AVHRR), Medium‐Resolution Imaging Spectrometer (MERIS), and Sea‐viewing Wide Field‐of‐View Sensor (SeaWiFS).…”

“…For satellite data, extracting ocean fronts is a key step in describing the frontal features in areas involving complex dynamic processes (Belkin, 2021). At present, several methods have been applied to extract SSFs from satellite images, including: (a) selecting a threshold SSC value as the front (Ge et al, 2020;Hafeez et al, 2021;Min et al, 2014;Wu et al, 2016), (b) histogram-based edge detection algorithms (Miller, 2004;H. Yang et al, 2016), (c) Sobel gradient-based edge extraction algorithms (Y.…”

“…Finally, SSFs can emerge, evolve, migrate, decay, and disappear on a timescale of less than 1 month (Yin & Huang, 2016). At the same time, tidal advection can cause offshore-shore oscillations in SSFs (Hafeez et al, 2021;Hu et al, 2016;Min et al, 2014;H. Yang et al, 2016;Yin & Huang, 2016;Y.…”