Application of the Geostationary Ocean Color Imager to Mapping the Diurnal and Seasonal Variability of Surface Suspended Matter in a Macro-Tidal Estuary
Abstract:Abstract:Total suspended particulate matter (TSM) in estuarine and coastal regions usually exhibits significant natural variations. The understanding of such variations is of great significance in coastal waters. The aim of this study is to investigate and assess the diurnal and seasonal variations of surface TSM distribution and its mechanisms in coastal waters based on Geostationary Ocean Color Imager (GOCI) data. As a case study, dynamic variations of TSM in the macro-tidal Yalu River estuary (YRE) of China… Show more
“…But, since all of them are aggregate and the plume is considered as a whole, their effect if negligible. Compared to other studies using GOCI data (He et al, 2013;Choi et al, 2014;Cheng et al, 2016;Eom et al, 2016), the same type of results were obtained also using SEVIRI for the Girone area. Nevertheless, thanks to its better spatial and spectral capabilities, GOCI has the potential to resolve more fine patterns of SPM dynamics and can perform better in clear waters.…”
Section: Daily Cycles Observed Using Modissupporting
confidence: 77%
“…This assures the identification of patterns otherwise not distinguishable. Nonetheless, there is an obvious need for future geostationary sensors with improved capabilities, as it was shown as well by other studies using geostationary data (He et al, 2013;Choi et al, 2014;Cheng et al, 2016;Eom et al, 2016), that such information can be very useful for coastal applications. Only through such technological advances, dynamic areas, such as the Gironde river mouth, will be properly monitored.…”
Section: Discussionmentioning
confidence: 99%
“…Nevertheless, thanks to its better spatial and spectral capabilities, GOCI has the potential to resolve more fine patterns of SPM dynamics and can perform better in clear waters. The Yalu River macro-tidal estuary is a good example of a similar area (compared to Gironde) analyzed based on GOCI data (Cheng et al, 2016). Nevertheless, the forcing factors of SPM dynamics are different, with wind stress playing a more important role.…”
Section: Daily Cycles Observed Using Modismentioning
confidence: 99%
“…The spectral bands configuration is much more suited for ocean color applications, compared to SEVIRI, with 8 channels that cover the visible and near-infrared regions. Therefore, the studies using GOCI concerning water quality and especially SPM dynamics are more numerous and cover multiple coastal areas, from shallow waters dominated by resuspension processes to estuaries (He et al, 2013;Choi et al, 2014;Cheng et al, 2016;Eom et al, 2016). It comes to show the true potential of an ocean color satellite sensor and sets up the target for future possible studies in the European regions.…”
Section: Introductionmentioning
confidence: 99%
“…GOCI was successfully used in highly turbid coastal areas and daily to seasonal observations were drawn (Choi et al, 2014). A micro-tidal estuary was also analyzed -Yalu River (Cheng et al, 2016) and high quality conclusions regarding the diurnal and seasonal SPM cycles were revealed.…”
“…But, since all of them are aggregate and the plume is considered as a whole, their effect if negligible. Compared to other studies using GOCI data (He et al, 2013;Choi et al, 2014;Cheng et al, 2016;Eom et al, 2016), the same type of results were obtained also using SEVIRI for the Girone area. Nevertheless, thanks to its better spatial and spectral capabilities, GOCI has the potential to resolve more fine patterns of SPM dynamics and can perform better in clear waters.…”
Section: Daily Cycles Observed Using Modissupporting
confidence: 77%
“…This assures the identification of patterns otherwise not distinguishable. Nonetheless, there is an obvious need for future geostationary sensors with improved capabilities, as it was shown as well by other studies using geostationary data (He et al, 2013;Choi et al, 2014;Cheng et al, 2016;Eom et al, 2016), that such information can be very useful for coastal applications. Only through such technological advances, dynamic areas, such as the Gironde river mouth, will be properly monitored.…”
Section: Discussionmentioning
confidence: 99%
“…Nevertheless, thanks to its better spatial and spectral capabilities, GOCI has the potential to resolve more fine patterns of SPM dynamics and can perform better in clear waters. The Yalu River macro-tidal estuary is a good example of a similar area (compared to Gironde) analyzed based on GOCI data (Cheng et al, 2016). Nevertheless, the forcing factors of SPM dynamics are different, with wind stress playing a more important role.…”
Section: Daily Cycles Observed Using Modismentioning
confidence: 99%
“…The spectral bands configuration is much more suited for ocean color applications, compared to SEVIRI, with 8 channels that cover the visible and near-infrared regions. Therefore, the studies using GOCI concerning water quality and especially SPM dynamics are more numerous and cover multiple coastal areas, from shallow waters dominated by resuspension processes to estuaries (He et al, 2013;Choi et al, 2014;Cheng et al, 2016;Eom et al, 2016). It comes to show the true potential of an ocean color satellite sensor and sets up the target for future possible studies in the European regions.…”
Section: Introductionmentioning
confidence: 99%
“…GOCI was successfully used in highly turbid coastal areas and daily to seasonal observations were drawn (Choi et al, 2014). A micro-tidal estuary was also analyzed -Yalu River (Cheng et al, 2016) and high quality conclusions regarding the diurnal and seasonal SPM cycles were revealed.…”
Wind‐waves, tidal currents, and some other dynamic factors dominate the suspended sediment concentration (SSC) variations in shallow seas and it is difficult to quantitatively evaluate the effects of individual dynamic factors on SSC modulation. This work used the long‐term Moderate Resolution Imaging Spectroradiometer (MODIS) and the high temporal‐resolution Geostationary Ocean Color Imager (GOCI) remote sensing data to quantify the sea surface SSC variations on multiple timescales (intratidal, spring‐neap, seasonal, and long‐term timescales) in the Bohai Sea, and further quantitatively evaluated the effects of corresponding dynamic factors on the SSC modulation. The results indicated that the monsoon associated wind‐waves and stratification played the most important role in modulating SSC, with seasonal SSC variation of 8.1 mg/L in the Bohai Sea. The intratidal current variations played the secondary important role, causing SSC variation of 5.8 mg/L. The spring‐neap tidal current variations led to SSC variation of 3.1 mg/L in the Bohai Sea. In the long run (2003–2014), the SSC of the Bohai Sea decreased slightly with SSC variation of 2.8 mg/L (decline rate: 0.23 mg/L/year), which may be caused by the weakening wind, decreasing sediment load from the Yellow River or the massive reclamation in recent decades. Probably due to the topography, sea bed sediment grain size and river plume, SSC variations in the southern Bohai Sea were more pronounced than those in the northern Bohai Sea.
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