We use a novel satellite time series of size-partitioned phytoplankton biomass to construct and analyze classical and novel seasonality metrics. Biomass is computed from SeaWiFS ocean color data using retrievals of the particle size distribution with the KSM09 algorithm and existing allometric relationships to convert volume to carbon. The phenological metrics include the peak blooming date, bl...

The NDVI3g time series is an improved 8-km normalized difference vegetation index (NDVI) data set produced from Advanced Very High Resolution Radiometer (AVHRR) instruments that extends from 1981 to the present. The AVHRR instruments have flown or are flying on fourteen polar-orbiting meteorological satellites operated by the National Oceanic and Atmospheric Administration (NOAA) and are curren...

Remote sensing of ocean color from space, a problem that consists in retrieving spectral marine reflectance from spectral top-of-atmosphere reflectance, is considered as a collection of similar inverse problems continuously indexed by the angular variables influencing the observation process. A general solution is proposed in the form of a field of non-linear regression models over the set T of...

Offward transport of surface coastal waters was studied in the Eastern Mediterranean from 31° to 37° N between 31° to 36° E using cluster analysis of water-leaving radiance spectra from SeaWiFS color scanner imagery for spring-summer period of 1998. Some types of spectra were found to be characteristic of products of mixing of coastal and offshore waters and served as a quasiconservative tracer...

In addition to nutrients and light, temperature plays a crucial role in marine biogeochemical processes. this study, the sensitivity of growth rate phytoplankton was systematically studied by using two-level nested physical–biogeochemical coupled model for Yangtze River estuary East China Sea. The physical component is configured from Regional Ocean Modeling System (ROMS) with highest horizonta...

Satellite research methods are frequently used in observations of water bodies. One the most important problems satellite is presence missing data due to internal malfunction sensors and poor atmospheric conditions. We proceeded on assumption that use recovery based spatial relationships can increase accuracy. In this paper, we present a method for reconstruction from remote sensors. refer our ...