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Proceedings Paper

Optimized microwindows in atmospheric spectroscopy
Author(s): Thomas von Clarmann; Georg Echle; Herbert Fischer; Norbert Glatthor; Evelyn Kimmich
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Paper Abstract

Hyperspectral remote sensing is a challenge to data analysis due to the large data rate. Since it will often not by possible to analyze the entity of measured spectral data, so-called 'micro windows' are selected which contain the bulk of information on the target state parameters to be retrieved, while any interfering signal is minimized. We discuss the benefits of a quantitative method for automatic selection of optimized sets of such micro windows for the analysis of Michelson Interferometer for Passive Atmospheric Sounding (MIPAS) data. While MIPAS, which will be operated onboard the polar orbiting environmental satellite (ENVISAT), is not a hyperspectral instrument, it serves as an example to study the power of the micro window approach. The MIPAS instrument will measure the IR emission of various atmospheric trace gases by limb scans covering the altitude region from 6 to 68 km altitude.

Paper Details

Date Published: 8 February 2001
PDF: 8 pages
Proc. SPIE 4151, Hyperspectral Remote Sensing of the Land and Atmosphere, (8 February 2001); doi: 10.1117/12.417001
Show Author Affiliations
Thomas von Clarmann, Forschungszentrum Karlsruhe (Germany)
Georg Echle, Forschungszentrum Karlsruhe (Germany)
Herbert Fischer, Forschungszentrum Karlsruhe (Germany)
Norbert Glatthor, Forschungszentrum Karlsruhe (Germany)
Evelyn Kimmich, Forschungszentrum Karlsruhe (Germany)


Published in SPIE Proceedings Vol. 4151:
Hyperspectral Remote Sensing of the Land and Atmosphere
William L. Smith; Yoshifumi Yasuoka, Editor(s)

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