Channel alignment and radiometry in hyperspectral atmospheric infrared sounders

Denis A. Elliott; H. H. Aumann; Thomas S. Pagano; Kenneth R. Overoye; Rudolf A. Schindler

doi:10.1117/12.604450

1 June 2005 Channel alignment and radiometry in hyperspectral atmospheric infrared sounders

Denis A. Elliott, H. H. Aumann, Thomas S. Pagano, Kenneth R. Overoye, Rudolf A. Schindler

Proceedings Volume 5806, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XI; (2005) https://doi.org/10.1117/12.604450
Event: Defense and Security, 2005, Orlando, Florida, United States

Abstract

The Atmospheric Infrared Sounder (AIRS) is a hyper-spectral infrared sounder which covers the 3.7 to 15.4 micron region with 2378 spectral channels. The AIRS instrument specification called for spatial co-registration of all channels to better than 2% of the field of view. Pre-launch testing confirmed that this requirement was met, since the standard deviations in the centroids was about 1% of the 13.5 km IFOV in scan and 3% in track. Detailed analysis of global AIRS data show that the typical scene gradient in 10-micron window channels is about 1.3K/km rms. The way these gradients, which are predominantly caused by clouds, manifest themselves in the data depends on the details of the instrument design and the way the spectral channels are used in the data analysis. AIRS temperature and moisture retrievals use 328 of the 2378 channels from 17 independent arrays. As a result, the effect of the boresight misalignment averages to zero mean. Any increase in the effective noise is less than 0.2K. Also, there is no discernable performance degradation of products at the 45 km spatial resolution in the presence of partially cloudy scenes with up to 80% cloudiness. Single pixel radiometric differences between channels with boresight alignment differences can be appreciable and can affect scientific investigations on a single 15km footprint scale, particularly near coastlines, thunderstorms and surface emissivity inhomogeneities.

Citation Download Citation

Denis A. Elliott, H. H. Aumann, Thomas S. Pagano, Kenneth R. Overoye, and Rudolf A. Schindler "Channel alignment and radiometry in hyperspectral atmospheric infrared sounders", Proc. SPIE 5806, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XI, (1 June 2005); https://doi.org/10.1117/12.604450

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KEYWORDS

Sensors

Infrared radiation

Clouds

Detector arrays

Radiometry

Calibration

Climatology

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