Algorithm development for the retrieval of coastal water constituents from satellite Modular Optoelectronic Scanner images

Matthias Hetscher; Harald Krawczyk; Andreas Neumann; Thomas Walzel; Gerhard Zimmermann

doi:10.1117/12.283824

31 October 1997 Algorithm development for the retrieval of coastal water constituents from satellite Modular Optoelectronic Scanner images

Matthias Hetscher, Harald Krawczyk, Andreas Neumann, Thomas Walzel, Gerhard Zimmermann

Author Affiliations +

Proceedings Volume 3118, Imaging Spectrometry III; (1997) https://doi.org/10.1117/12.283824
Event: Optical Science, Engineering and Instrumentation '97, 1997, San Diego, CA, United States

Abstract

DLR's imaging spectrometer the Modular Optoelectronic Scanner (MOS) on the Indian remote sensing satellite IRS-P3 has been orbiting since March 1996. MOS consists of two spectrometers, one narrow band spectrometer around 760 nm for retrieval of atmospheric parameters and a second one in the IVS/NIR region with an additional line camera at 1,6 micrometers . The instrument was especially designed for the remote sensing of coastal zone water and the determination and distinction of its constituents. MOS was developed and manufactured at the Institute of Space Sensor Technology (ISST) and launched in a joint effort with the Indian Space Research Organization (ISRO). The high spectral resolution of MOS offers the possibility of using the differences in spectral signatures of remote sensing objects for quantitative determination of geophysical parameters. In ISST a linear estimator to derive water constituents and aerosol optical thickness has been developed, exploiting Principal Component Inversion (PCI) of modeled top-of- atmosphere and experimental radiance data sets. The estimator results in sets of weighting coefficients for each measurement band, depending on the geophysical situations. Because of systematic misinterpretation due to non- adequateness of model and real situation the further development implies the parallel improvement of used water models and recalibration with in-situ data. The paper will present for selected test sites of the European coasts results of algorithm application. It will show the improvement of the estimated water constituents by using regional specific model parameter. Derived maps of chlorophyll like pigments, sediments and aerosol optical thickness ar presented.

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Matthias Hetscher, Harald Krawczyk, Andreas Neumann, Thomas Walzel, and Gerhard Zimmermann "Algorithm development for the retrieval of coastal water constituents from satellite Modular Optoelectronic Scanner images", Proc. SPIE 3118, Imaging Spectrometry III, (31 October 1997); https://doi.org/10.1117/12.283824

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KEYWORDS

Atmospheric modeling

Data modeling

Algorithm development

Molybdenum

Satellites

Atmospheric corrections

Spectroscopy

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