Titlebook: Remote Sensing of the European Seas; Vittorio Barale,Martin Gade Book 2008 Springer Science+Business Media B.V. 2008 Atlantic Ocean.Coast.

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Case Studies of Optical Remote Sensing in the Barents Sea, Black Sea and Caspian Sea and analyzed. A common feature of these seas is high freshwater inflow, all of the seas are classified with Case 2 waters. Optical remote sensing of them requires modified processing algorithms regionally adapted. Some interesting phenomena were revealed from satellite data in the seas under study:

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Optical Remote Sensing of the North Seaestimates of Chlorophyll ., total suspended matter and diffuse attenuation coefficient and related parameters. These are used for harmful algal bloom detection, eutrophication assessment, ecosystem and sediment transport modeling, and estimation of air-sea carbon fluxes.

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Open Waters Optical Remote Sensing of the Mediterranean SeaIn particular, a complete review on the definition and validation of specific regional ocean colour bio-optical algorithms for this area is presented. The need for specific algorithms in the Mediterranean is explained mainly by the observed failure of standard procedures. Latest results, mostly focu

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Visible and Infrared Remote Sensing of the White Sea Bio-Geo-Chemistry and Hydrologyand dissolved organic carbon (.) from space sensor data, was employed to monitor the surface expressions of some biotic and abiotic processes in the White Sea (WS). A special technique has been de- veloped to reconstruct the seasonal variations of the above substances in pixels occasionally masked b

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On the Use of Thermal Images for Circulation Studies: Applications to the Eastern Mediterranean Basinean Sea. Although the first schema of the surface circulation for Atlantic Water in the Mediterranean Sea is one century old, its real path in the Eastern basin is still debated nowadays. Does it flow along the Libyan and Egyptian slopes in a counterclockwise circuit at basin scale, or as an offsho

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Current Tracking in the Mediterranean Sea Using Thermal Satellite Imagery and follow temperature gradients and hence represent advective surface motion. One of these techniques, the Maximum Cross Correlation technique, is based on a comparison of individual subscenes of sequential images, to estimate where a feature has moved from one image to the next. It has distinct a