Title | ||
---|---|---|
TIR Spectral Radiance Calibration of the GOSAT Satellite Borne TANSO-FTS With the Aircraft-Based S-HIS and the Ground-Based S-AERI at the Railroad Valley Desert Playa. |
Abstract | ||
---|---|---|
The thermal infrared (TIR) band of Thermal and Near-Infrared Sensor for carbon Observations Fourier Transform Spectrometer (TANSO-FTS) on the Greenhouse gases Observing SATellite (GOSAT) measures a wide range of scene temperatures using a single detector band with broad spectral coverage. This work describes the vicarious radiometric calibration over a large footprint (10.5 km) and high temperature surface using well-calibrated ground-based and airborne FTS sensors. The vicarious calibration campaign of GOSAT was conducted at Railroad Valley, NV in June 2011. During the campaign, the Scanning High-resolution Interferometer Sounder (S-HIS) mounted on the high-altitude NASA ER-2 aircraft observed upwelling radiation and the ground-based Surface-Atmospheric Emitted Radiance Interferometer (S-AERI) observed infrared thermal emission from the atmosphere and the surface at the same location and time as the GOSAT TANSO-FTS. We validated TANSO-FTS TIR radiance with S-HIS radiance using double difference method, which reduces the effect of differences in the observation geometry. In this paper, we estimated the TANSO-FTS Instantaneous Field of View average temperature and emissivity by the coincident S-AERI and S-HIS observed radiance. The double difference between TANSO-FTS and S-HIS result in a difference of 0.5 K at atmospheric window channels (800 similar to 900 cm(-1)) and CO2 warm brightness temperature channels (700 similar to 750 cm(-1)), 0.1 K at ozone channels (980 similar to 1080 cm(-1)), and more than 2 K at CO2 cool brightness temperature channels (650 similar to 700 cm(-1)). The main reason of remaining errors is attributed to a calibration error in the TANSO-FTS Level 1B product version under evaluation. |
Year | DOI | Venue |
---|---|---|
2014 | 10.1109/TGRS.2012.2236561 | IEEE T. Geoscience and Remote Sensing |
Keywords | Field | DocType |
Fourier transform spectrometers,atmospheric spectra,atmospheric techniques,atmospheric temperature,calibration,emissivity,infrared imaging,remote sensing,AD 2011 06,CO2 warm brightness temperature channels,GOSAT satellite borne TANSO-FTS,Greenhouse gases Observing SATellite,NASA ER-2 aircraft,Railroad Valley Desert Playa,Scanning High-resolution Interferometer Sounder,TANSO-FTS Instantaneous Field of View average temperature,TIR spectral radiance calibration,Thermal and Near-Infrared Sensor for carbon Observations Fourier Transform Spectrometer,aircraft-based S-HIS,broad spectral coverage,calibration error,double difference method,ground-based S-AERI,ground-based Surface-Atmospheric Emitted Radiance Interferometer,high temperature surface,infrared thermal emission,observation geometry,scene temperatures,single detector band,thermal infrared band,upwelling radiation,vicarious calibration campaign,vicarious radiometric calibration,Aircraft,atmospheric measurements,calibration,infrared radiometry,remote sensing,satellites | Radiometric calibration,Satellite,Brightness temperature,Remote sensing,Atmospheric temperature,Atmospheric sciences,Emissivity,Radiance,Calibration,Mathematics,Infrared window | Journal |
Volume | Issue | ISSN |
52 | 1 | 0196-2892 |
Citations | PageRank | References |
1 | 0.63 | 4 |
Authors | ||
14 |
Name | Order | Citations | PageRank |
---|---|---|---|
Fumie Kataoka | 1 | 10 | 5.04 |
Robert O. Knuteson | 2 | 4 | 2.49 |
Akihiko Kuze | 3 | 11 | 6.80 |
Hiroshi Suto | 4 | 10 | 4.37 |
Kei Shiomi | 5 | 15 | 8.91 |
Masatomo Harada | 6 | 1 | 1.30 |
Elise M. Garms | 7 | 1 | 0.63 |
Jacola A. Roman | 8 | 1 | 0.63 |
David C. Tobin | 9 | 1 | 1.98 |
Joe K. Taylor | 10 | 1 | 0.63 |
Henry E. Revercomb | 11 | 6 | 2.94 |
Nami Sekio | 12 | 2 | 1.11 |
Riko Higuchi | 13 | 1 | 0.63 |
Yasushi Mitomi | 14 | 14 | 4.40 |