Paper
9 October 2008 Airborne SWIR FTS for GOSAT validation and calibration
Author Affiliations +
Proceedings Volume 7106, Sensors, Systems, and Next-Generation Satellites XII; 71060M (2008) https://doi.org/10.1117/12.799963
Event: SPIE Remote Sensing, 2008, Cardiff, Wales, United Kingdom
Abstract
In order to validate and calibrate TANSO-FTS data of the GOSAT satellite, and also to develop the retrieval algorism for deriving the column density of CO2 and CH4 from spectra, the airborne SWIR (Short Wave Infrared Region) FTS (Fourier transform spectrometer) has been developed, characterized and demonstrated. This instrument is named as TSUKUBA model. The basically performance test of TSUKUBA model was carried out in our laboratory, and the measured modulation efficiencies are 70% (Band1), 85% (Band2) and 88% (Band3), respectively. The measured values of SNR with the equivalent black body temperature for 30% surface albedo are 190 (13050cm-1), 148 (6200cm-1), and 165 (5000cm-1) without polarization measurement. The measured values of full width at half maximum (FWHM) of instrumental line shape functions are 0.38cm-1, 0.26cm-1, 0.25 cm-1 of band 1, 2, and 3, respectively. This instrument is also able to measure the scene flux with P and S polarization, simultaneously, as TANSO-FTS SWIR measures. In 2007, the first and second flight campaigns were arranged and the sunlight reflected spectra over the earth's surface was obtained. This instrument was mounted on high-altitude airplane with image motion compensator and damping platform, and flied over southern Australia and Siberia. The instrumental design and the results of performance tests as well as the flight campaign are presented.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hiroshi Suto, Akihiko Kuze, Masakatsu Nakajima, Takashi Hamazaki, Tatsuya Yokota, and Gen Inoue "Airborne SWIR FTS for GOSAT validation and calibration", Proc. SPIE 7106, Sensors, Systems, and Next-Generation Satellites XII, 71060M (9 October 2008); https://doi.org/10.1117/12.799963
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Cited by 5 scholarly publications.
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KEYWORDS
Fourier transforms

Short wave infrared radiation

Signal to noise ratio

Polarization

Sensors

Atmospheric modeling

CCD image sensors

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