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Station-centric geographically weighted regression (SCGWR): a novel framework for chlorophyll-a prediction with Sentinel-2NARA Subscribed
Chlorophyll-a (Chl-a) is a key indicator of phytoplankton biomass and serves as an essential parameter for evaluating marine pollution. As an optically active constituent (OAC), its spatial distribution can be effectively monitored using multi-spectral satellite imagery, which captures variations in water-leaving reflectance associated with phytoplankton dynamics. While traditional predictive modeling approaches, including mac...
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