Monitoring the Bio-optical State of the Baltic Sea Ecosystem with Remote Sensing and Autonomous In Situ Techniques - The Baltic Sea Basin - page 427

Fig. 20.12 ( a )Total
suspended matter (TSM) load
in the Baltic Sea on 23 April
2008. RGB-composite ( b )
zoom of TSM load of
southwestern Baltic with river
runoff. Geo-physical products
were derived from ENVISAT
MERIS RR data (Algorithm
description in Schroeder et al.
2007b ) . Courtesy of Institute
for Space Science, Freie
Universität Berlin. Longitude
in ◦ E, Latitude in ◦ N
the gradients in SPM concentrations, and the clear differences between the southern
and the northern Baltic Sea. The processor used has been especially developed for
coastal areas and showed good retrieval of TSM and chlorophyll in the northwestern
Baltic Sea (Kratzer et al. 2008 ) . In coastal areas, the percent error for SPMwas about
16% and in the open sea approximately 6%. For chlorophyll, the percent error was
approximately 67% error in coastal areas and -35% in the open Baltic Sea.
The absorption coefficient of CDOM, g440, was underestimated by 37% in the
coastal waters and by -74% in the open Baltic Sea. The FUB/WeW showed overall
best results when taking into account all optical in-water constituents as well as
K d (490) (Vinterhav 2008 ) .
However, when first applying the adjacency correction using ICOL (Santer et al.
2007 ) to the level 1 data, and then reprocessing the level 2 data, both the MERIS
standard processor and the FUB/WeW Water Processor showed rather good results
(Kratzer and Vinterhav 2010 ) . The MERIS standard processor retrieved chlorophyll