Introduction The Sea-viewing Wide Field-of-view Sensor (SeaWiFS) was launched in September 1997 to provide quantitative data on global ocean bio-optical properties to the Earth science community. Using ratios of the water leaving radiance SeaWiFS imagery can be used to quantify properties such as the chlorophyll concentration (O’Reilly et al., 1998). Algorithms have been developed to use the su...

The PHYSAT method, which enables identification of four different phytoplankton groups from their impact on the normalized water-leaving radiance (nLw) spectra, is applied to coincident in situ measurements of both chlorophyll a concentration (Chl a) and nLw. Observations show that measurements acquired in waters dominated by haptophytes, diatoms and Synechococcus-like cyanobacteria have optica...

Multitemporal and multisatellite studies or comparisons between satellite data and local ground measurements require nowadays precise and automatic geometric correction of satellite images. This paper presents a fully automatic geometric correction system capable of georeferencing satellite images with high accuracy. An orbital prediction model, which provides initial earth locations, is combin...

Present work investigated the relationship between Chlorophyll (Chl), of phytoplankton biomass, and sea surface temperature (SST) of the Black Sea, using Sea-viewing Wide Field-of-view Sensor (SeaWiFS) and Advanced Very High Resolution Radiometer (AVHRR) satellite imagery. Satellite derived data could provide information on the amount of sea life present (Brown algae, called kelp, proliferate, ...

Quantifying change in ocean biology using satellites is a major scientific objective. We document trends globally for the period 1998-2012 by integrating three diverse methodologies: ocean color data from multiple satellites, bias correction methods based on in situ data, and data assimilation to provide a consistent and complete global representation free of sampling biases. The results indica...

Christina Hsu Goddard Earth Sciences and Technology Center University of Maryland Baltimore County NASA/Code 916 Greenbelt, Maryland 20771 Abstract. Satellite instruments currently provide global maps of surface UV irradiance by combining backscattered radiance data with radiative transfer models. The models are often limited by uncertainties in physical input parameters of the atmosphere and s...

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 uncertainties due to oceanic atmospheric optical properties. In study, accuracy of daily merged multi-sensor Ocean Color Climate Change Initiative (OC–CCI), Copernicus Marine Environmental Monitoring Service (CMEMS) GlobC...

[1] Many remote sensing techniques and passive sensors have been developed to measure global aerosol properties. While instantaneous comparisons between pixel-level data often reveal quantitative differences, here we use Empirical Orthogonal Function (EOF) analysis, also known as Principal Component Analysis, to demonstrate that satellite-derived aerosol optical depth (AOD) data sets exhibit es...

This study evaluated the ability to improve Sea-Viewing Wide Field-of-View Sensor (SeaWiFS) chl-a retrieval from optically shallow coastal waters by applying algorithms specific to the pixels' benthic class. The form of the Ocean Color (OC) algorithm was assumed for this study. The operational atmospheric correction producing Level 2 SeaWiFS data was retained since the focus of this study was o...