Paper
6 February 1997 Application of a multispectral interpretation algorithm to remote sensing data over the Baltic Sea
Harald Krawczyk, Andreas Neumann, Thomas Walzel, Matthias Hetscher, Herbert Siegel
Author Affiliations +
Proceedings Volume 2963, Ocean Optics XIII; (1997) https://doi.org/10.1117/12.266448
Event: Ocean Optics XIII, 1996, Halifax, Nova Scotia, Canada
Abstract
In the Institute for Space Sensor Technology a new generation of remote sensing imaging spectrometers was developed, measuring the reflected from the ocean atmosphere system radiance in the visible to near-infrared spectral range. This Modular Optical Scanner was successfully launched on 21 March 1996 with an Indian satellite to a polar sunsynchronous orbit, and on 23 April 1996 with the Russian Priroda Module on the MIR station. For the purpose of interpretation of these measurements over oceans and coastal zones has been developed a special algorithm based on Principal Component Analysis, using a special inversion technique for a given ocean-atmosphere physical mode. An important question in the description of such models are the inherent optical properties of the water. In the paper will be given a description of the derivation of the interpretation algorithm for different water constituents, with an inherent atmospheric correction. It will be shown how specific optical properties are influencing the interpretation results. This work was performed in cooperation with the Baltic Sea Research Institute Warnemuende.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Harald Krawczyk, Andreas Neumann, Thomas Walzel, Matthias Hetscher, and Herbert Siegel "Application of a multispectral interpretation algorithm to remote sensing data over the Baltic Sea", Proc. SPIE 2963, Ocean Optics XIII, (6 February 1997); https://doi.org/10.1117/12.266448
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Cited by 3 scholarly publications.
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KEYWORDS
Atmospheric modeling

Remote sensing

Algorithm development

Water

Atmospheric corrections

Atmospheric sensing

Satellites

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