Paper
8 February 2001 Optimized microwindows in atmospheric spectroscopy
Thomas von Clarmann, Georg Echle, Herbert Fischer, Norbert Glatthor, Evelyn Kimmich
Author Affiliations +
Proceedings Volume 4151, Hyperspectral Remote Sensing of the Land and Atmosphere; (2001) https://doi.org/10.1117/12.417001
Event: Second International Asia-Pacific Symposium on Remote Sensing of the Atmosphere, Environment, and Space, 2000, Sendai, Japan
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.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Thomas von Clarmann, Georg Echle, Herbert Fischer, Norbert Glatthor, and Evelyn Kimmich "Optimized microwindows in atmospheric spectroscopy", Proc. SPIE 4151, Hyperspectral Remote Sensing of the Land and Atmosphere, (8 February 2001); https://doi.org/10.1117/12.417001
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KEYWORDS
Matrices

Error analysis

Data analysis

Databases

Gases

Stratosphere

Data processing

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