Advanced remote sensing techniques and algorithms are combined to produce and analyse an improved 12-year multi-sensor time series of bio-optical properties for the Adriatic Sea. First, a multi-sensor series of normalized water-leaving radiance is created with an optically-based merging technique applied to SeaWiFS and MODIS data. Then, two empirical algorithms, embedded in a dynamic algorithm ...

15 Both sensor calibration and satellite retrieval algorithm play an important role in the ability to 16 determine accurately long-term trends from satellite data. Owing to the unprecedented 17 accuracy and long-term stability of its radiometric calibration, the SeaWiFS measurements 18 exhibit minimal uncertainty with respect to sensor calibration. In this study, we take 19 advantage of this we...

The Sea-viewing Wide Field-of-view Sensor (SeaWiFS) provides global monthly measurements of both oceanic phytoplankton chlorophyll biomass and light harvesting by land plants. These measurements allowed the comparison of simultaneous ocean and land net primary production (NPP) responses to a major El Niño to La Niña transition. Between September 1997 and August 2000, biospheric NPP varied by 6 ...

We addressed the question of bottom-up versus top-down control of marine ecosystem trophic interactions by using annual fish catch data and satellite-derived (SeaWiFS) chlorophyll a measurements for the continental margin of western North America. Findings reveal a marked alongshore variation in retained primary production that is highly correlated with the alongshore variation in resident fish...

[1] Sea-viewing Wide Field-of-View Sensor (SeaWiFS) images from June 1998 show a surprising early summer phytoplankton bloom in southern Lake Michigan that accounted for approximately 25% of the lake’s annual gross offshore algal primary production. By combining the satellite imagery with in situ measurements of water temperature and wind velocity we show that the bloom was triggered by a brief...