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Proceedings Paper

Radiometric calibration accuracy of GOSAT-TANSO-FTS (TIR) relating to CO2 retrieval error
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Paper Abstract

Radiometric calibration accuracy of 0.3 K in Tbb is necessary to retrieve CO2 concentration profile with accuracy of 1 % in the upper atmosphere. In case of the thermal infrared (TIR) band (band 4) of GOSAT-TANSO-FTS, interferometric phase correction procedure is very important because the total transmittance of the optics at the band is about 70 % because of opacity of dichroic mirrors of band 1-3 placed obstructing the field of view of band 4, and the mirrors reflect the radiation emitted from inside of the optics. Based on the results from the thermal vacuum tests (TVTs) of the sensor, it is found that interferometric signal is almost zero when the sensor view a target of which temperature is about 280- 300K because the radiation emitted from inside of the spectrometer controlled at about 296 K has completely opposite phase to that of the target. It is also found that the interferometric final phase of the calibrated signal varies when the total signal is almost zero because of weak signals that have phases differ from both of those of targets and calibrators. A candidate phase correction procedure is proposed based on that adopted for a previous space FTS sensor, IMG/ADEOS. Non-linearity correction for the detector and polarization efficiency correction are also desccussed.

Paper Details

Date Published: 11 December 2008
PDF: 8 pages
Proc. SPIE 7149, Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques, and Applications II, 71490B (11 December 2008);
Show Author Affiliations
Ryoichi Imasu, The Univ. of Tokyo (Japan)
Naoko Saitoh, The Univ. of Tokyo (Japan)
Yosuke Niwa, The Univ. of Tokyo (Japan)
Hiroshi Suto, Japan Aerospace Exploration Agency (Japan)
Akihiko Kuze, Japan Aerospace Exploration Agency (Japan)
Kei Shiomi, Japan Aerospace Exploration Agency (Japan)
Masakatsu Nakajima, Japan Aerospace Exploration Agency (Japan)

Published in SPIE Proceedings Vol. 7149:
Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques, and Applications II
Allen M. Larar; Mervyn J. Lynch; Makoto Suzuki, Editor(s)

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