Synthetic advanced baseline imager true-color imagery

Hillger, Donald; Grasso, Louie; Miller, Steven; Brummer, Renate; DeMaria, Robert

doi:doi:10.1117/1.3576112

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Journal of Applied Remote Sensing / Volume 5 / Research Papers

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Synthetic advanced baseline imager true-color imagery

J. Appl. Remote Sens. 5, 053520 (Apr 26, 2011); http://dx.doi.org/10.1117/1.3576112

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Abstract

References (18)

Donald Hillger

Colorado State University, National Oceanic and Atmospheric Administration/National Environmental Satellite, Data, and Information Service/Center for Satellite Applications and Research/Regional and Mesoscale Meteorology Branch, CIRA – 1375, Fort Collins Colorado 80523-1375

Louie Grasso, Steven Miller, Renate Brummer, and Robert DeMaria

Colorado State University, Cooperative Institute for Research in the Atmosphere (CIRA), CIRA – 1375, Fort Collins Colorado 80523-1375

True-color imagery, which is formed via a weighted combination of red, green, and blue (RGB) spectral information, has important operational applications for qualitative environmental characterization, including the detection of smoke plumes, volcanic ash, and other aerosols that are not as easily discerned in conventional visible or infrared imagery, but may be more readily characterized via color properties. Despite its universal popularity, true-color is currently unavailable from geostationary satellites, and the next-generation GOES-R advanced baseline imager (ABI) will fall one band (green; 0.55 μm) short of doing so. However, approximations exist, and a process for simulating true-color imagery representative of capabilities anticipated from the ABI is presented and assessed here. High-resolution atmospheric model simulations are used to produce the ABI reflective band imagery required for true-color imagery. Those simulations are then rendered at ABI spatial (0.5-km visible) and temporal (5 min) resolution, to provide realistic data, long before the anticipated 2015 launch of GOES-R. An additional analysis, a color-space transformation, is used to assess the true-color (RGB) ABI images. The resulting hue images verify the less-green bias in the synthetic-green band and synthetic-RGB images created on ABI simulated data. Assessing the deficiencies in the RGB process will hopefully lead to an improved and standard means for generating an RGB product from the ABI data stream. Finally, as one of the many product applications of true-color imagery, an example of synthetic true-color imagery with added smoke is presented. The incorporation of aerosol properties into simulated imagery may help reveal the limits of detectability for atmospheric aerosols with future ABI.

History

Received Aug 12, 2010
Accepted Mar 18, 2011
Revised Mar 01, 2011
Published online Apr 26, 2011

Digital Object Identifier

http://dx.doi.org/10.1117/1.3576112

Citation

Donald Hillger, Louie Grasso, Steven Miller, Renate Brummer and Robert DeMaria, "Synthetic advanced baseline imager true-color imagery", J. Appl. Remote Sens. 5, 053520 (Apr 26, 2011); http://dx.doi.org/10.1117/1.3576112