Global satellite water classification data products over oceanic, coastal, and inland waters

Satellites have generated extensive data of remote sensing reflectance spectra (Rrs(?)) covering diverse water classes or types across global waters. Spectral classification satellite Rrs(?) allows for the distinguishing and grouping waters with characteristic bio-optical/biogeochemical features that may influence productivity a given body. This study reports new class products (Level-2 Level-3) from Visible Infrared Imaging Radiometer Suite (VIIRS). We developed implemented hyperspectral scheme accounts spectral shapes globally resolves oceanic, coastal, inland into 23 classes. characterized light absorption scattering coefficients, chlorophyll-a concentration, diffuse attenuation coefficient, suspended particulate matter individual It is shown are separable by their distinct bio-optical biogeochemical properties. Furthermore, validation result suggests VIIRS accurate globally. Finally, we examined spatial temporal variability in case studies demonstration applications. The open oceans reveal subtropical ocean gyres experienced dramatic expansion over last decade. In addition, appear to be valuable (and qualitative) indicator quality coastal compelling evidence. stress this product an excellent addition aquatic science database, despite need continuous improvement toward perfection.