Abstract
Multispectral satellite data (WordView-2, IKONOS, QuickBird) are used to map bathymetry and spectral sea floor classes in a range of coastal areas. The standardized physics-based data processing integrates MODIS satellite data for the radiometric intercalibration and estimates of turbidity. This process includes corrections for sunglitter, the adjacency and the atmospheric effect. The water depth is calculated iteratively in combination with the spectral unmixing of the respective bottom reflectance on base of the subsurface reflectance. The final step of the processing classifies the bottom reflectance due to the spectral signature of different bottom types and biota using a specific cluster and classification approach. The comparison with in situ data at different sites worldwide proves the approach, but also emphasizes the necessity of radiometric well calibrated satellite data.
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