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Channel selection using information content analysis: A case study of CO2 retrieval from near infrared measurements by Le Kuai; Vijay Natraj; Run-Lie Shia; Charles Miller; Yuk L. Yung is a Engineering article available to read on EtoBox.

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A major challenge in retrieving CO 2 concentrations from thermal infrared remote sensing comes from the fact that measurements in the 4.3 and 15 mm absorption bands (AIRS or TES) are sensitive to both temperature and CO 2 variations. This complicates the selection of absorption channels with maximum CO 2 concentration information content. In contrast, retrievals using near infrared (NIR) CO 2 absorption bands are relatively insensitive to temperature and are most sensitive to changes of CO 2 near the surface, where the sources and sinks are located. The Orbiting Carbon Observatory (OCO) was built to measure reflected sunlight in three NIR spectral regions (the 0.76 mm O 2 A-band and two CO 2 bands at 1.61 and 2.06 mm). In an effort to significantly increase the speed of accurate CO 2 retrieval algorithms for OCO, we performed an information content analysis to identify the 20 best channels from each CO 2 spectral region to use in OCO retrievals. Retrievals using these 40 channels provide as much as 75% of the total CO 2 information content compared to retrievals using all 1016 channels in each spectral region. The CO 2 retrievals using our selected channels have a precision better

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Author

Le Kuai; Vijay Natraj; Run-Lie Shia; Charles Miller; Yuk L. Yung

Publisher

Elsevier Science; Elsevier ; Elsevier Ltd.; Elsevier BV (ISSN 0022-4073)

Published

2010

Language

EN

Field

Engineering (Physical Sciences)