Mapping the distribution of suspended particulate matter concentrations influenced by storm surge in the Yellow River Estuary using FY-3A MERSI 250-m data
Keywords:
remote sensing, spatio-temporal distribution, Bohai Bay, Bohai Sea, lookup-table-based methodAbstract
This is a study observing the application of Medium Resolution Spectral Imager 250-m data on-board Fengyun-3A in the analysis of spatio-temporal distributions of suspended particulate matter influenced by storm surge in the Yellow River Estuary. Based on in situ suspended particulate matter concentrations and remote sensing reflectance (Rrs) obtained from the Yellow River Estuary in 2011, a statistical retrieval algorithm was developed for Fengyun-3A Medium Resolution Spectral Imager data with 250-m spatial resolution. The best correlation was obtained for the reflectance ratios Rrs(865)/Rrs(550) and Rrs(650)/Rrs(550). With this simple empirical relationship, the absolute percentage difference (APD) was 29% (linear scale) and the correlation coefficient was 0.97, based on an independent validation data set. Furthermore, the model was proved to be insensitive to the input noise and could be considered stable and reliable. With a lookup-table-based method on atmospheric correction and developed suspended particulate matter retrieval model, these 250-m images were used to map the spatio-temporal distributions under the influence of a storm surge. This research showed that suspended particulate matter distribution and diffusion changes were predominant features during a storm surge in the entire Bohai Sea, especially in the Yellow River Estuary. This study also demonstrated that the moderately high resolution of this 250-m data had great potential in monitoring the transport of ocean colour constituents, particularly in small bodies of water such as bays and estuaries.
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