Bathymetry mapping and sea floor classification using multispectral satellite data and standardized physics based data processing

Sabine Ohlendorf; Andreas Müller; Thomas Heege; Sergio Cerdeira-Estrada; Halina T. Kobryn

doi:10.1117/12.898652

7 October 2011 Bathymetry mapping and sea floor classification using multispectral satellite data and standardized physics-based data processing

Sabine Ohlendorf, Andreas Müller, Thomas Heege, Sergio Cerdeira-Estrada, Halina T. Kobryn

Author Affiliations +

Proceedings Volume 8175, Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2011; 817503 (2011) https://doi.org/10.1117/12.898652
Event: SPIE Remote Sensing, 2011, Prague, Czech Republic

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.

Citation Download Citation

Sabine Ohlendorf, Andreas Müller, Thomas Heege, Sergio Cerdeira-Estrada, and Halina T. Kobryn "Bathymetry mapping and sea floor classification using multispectral satellite data and standardized physics-based data processing", Proc. SPIE 8175, Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2011, 817503 (7 October 2011); https://doi.org/10.1117/12.898652

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