Remote Sensing Applications in Ocean Observation (MDPI - Multidisciplinary Digital Publishing Institute, 2023)
Keywords: 3D-C BAM; aerosols; AI explanation; algal blooms; alongshore current; Arabian Gulf; atmospheric correction; backward scattering intensity; baroclinic instability; barotropic instability; bathymetry; Bayesian algorithm; bias correction; bibliometric analysis; CFOSAT; chlorophyll-a; chlorophyll-a bloom; cloud masking; CNN; coastal upwelling; coastal waters of Myanmar; cold-core anticyclonic eddy; ConvLSTM; data fusion; Daya Bay Nuclear Power Plants; deep learning; drifter; East China Sea; ebb tide; energy cascade; energy flux; environmental change; fish assemblage; flood tide; flow pattern; Forel-Ule Scale; GDPS; geostationary ocean color imager (GOCI); gravest empirical modes; gulf of Mexico; Gulf of Oman; high-frequency radar; Himawari-8; HYCOM reanalysis results; in situ observation; inherent optical properties; internal solitary waves; internal tides; Kuroshio branch; Kuroshio Current Loop; Kuroshio intrusion; Landsat; lidar; long-term changes; loop current rings; machine learning; mapping; marine heatwaves; mesoscale eddies; meteorological data; modal structure; MODIS; monsoon; n/a; New South Wales; noise equivalent reflectance difference; nonlinearity; normalized water-leaving radiance; North Pacific subtropical gyre; North Pacific Subtropical High; northwestern Pacific Ocean; ocean color; ocean Scheimpflug lidar; ocean subsurface salinity structure; offshore detection; oil detection; oil slicks; OLCI; plane wave fit method; power plant installed capacity; quantitative mapping; radiation sensitivity; radiative transfer equation; reclamation; Reference, Information and Interdisciplinary subjects; remote equatorial forcing; remote sensing; remote sensing sensors; Research and information: general; salinity; SAR; SAR images; Sargassum; satellite observation; satellite observations; satellite remote sensing; satellite remote sensing data; scatterometer; sea ice; sea level anomaly