Monitoring water quality parameters and their ecological effects in transitional waters is
usually performed through in situ sampling programs. These are expensive and time …

The ocean surface is organized into regions with distinct properties reflecting the complexity
of interactions between environmental forcing and biological responses. The delineation of …

Remote sensing reflectance (Rrs) values measured by satellite sensors involve large
amounts of uncertainty leading to non-negligible noise in remote Chlorophyll-a (Chl-a) …

Over the last two decades, satellite-derived estimates of biophysical variables have been
increasingly used in operational services, requiring quantification of their accuracy and …

Abstract The Gulf of Guinea represents a wide tract of the African coast with complex and
rich coastal ecosystems undergoing various pressures. The seasonal variations of …

Supervised learning allows the prediction of variables measured in-situ from variables that
can be measured from satellites. A labeled data set for this purpose is typically created by …

The variation of suspended sediment concentration (SSC) in coastal waters plays a key role
in the marine physical and chemical processes. Hangzhou Bay is a macrotidal estuary in …

Ocean colour data are crucial for monitoring and assessing marine ecosystems. In this
study, the Data Interpolating Empirical Orthogonal Functions (DINEOF) approach was …

Phytoplankton bloom phenology studies are fundamental for the understanding of marine
ecosystems. Mismatches between fish spawning and plankton peak biomass will become …

Persian Gulf is a highly turbid and optically complex marginal sea. Satellite remotely sensed
chlorophyll-a (Chl-a) products have been widely used in this marine area, despite …