Fast and robust algorithm to estimate the state of an atmosphere ocean system with multispectral satellite data

Harald Krawczyk; Andreas Neumann; Gerhard Zimmermann

doi:10.1117/12.406593

15 November 2000 Fast and robust algorithm to estimate the state of an atmosphere ocean system with multispectral satellite data

Harald Krawczyk, Andreas Neumann, Gerhard Zimmermann

Author Affiliations +

Proceedings Volume 4132, Imaging Spectrometry VI; (2000) https://doi.org/10.1117/12.406593
Event: International Symposium on Optical Science and Technology, 2000, San Diego, CA, United States

Abstract

In March 1996 the German Aerospace Agency successfully launched an imaging spectrometer on the Indian IRS-P3 satellite. The Modular Optical Scanner (MOS) is a pushbroom scanner. It was designed for the investigation of the atmosphere ocean system, to gather information about the state of the water body in consideration of the atmospheric influence. Coastal zones are of special interest, because of the presence of different classes of water-constituents. The combination of chlorophyll, sediments and yellow substance (C,S,Y) is characteristic for case-2 waters which are of high importance for recent ecological problems. The main problem for remote sensing is the interpretation of the satellite radiances in terms of geophysical quantities. This paper introduces a model based inversion technique, using principal component analysis as a tool for optimal information extraction for multispectral radiance data. The parameters of interest are estimated as linear combinations of measured radiances. A new aspect of the algorithm is that the atmosphere and water parameters are treated equally throughout the procedure, so that no extra atmospheric correction procedure is required.

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Harald Krawczyk, Andreas Neumann, and Gerhard Zimmermann "Fast and robust algorithm to estimate the state of an atmosphere ocean system with multispectral satellite data", Proc. SPIE 4132, Imaging Spectrometry VI, (15 November 2000); https://doi.org/10.1117/12.406593

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