Articles | Volume 5, issue 10
https://doi.org/10.5194/amt-5-2515-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/amt-5-2515-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
26 Oct 2012
Research article |
| 26 Oct 2012
On-orbit radiometric calibration of SWIR bands of TANSO-FTS onboard GOSAT
Y. Yoshida
National Institute for Environmental Studies, 16-2 Onogawa, Tsukuba 305-8506, Japan
N. Kikuchi
National Institute for Environmental Studies, 16-2 Onogawa, Tsukuba 305-8506, Japan
T. Yokota
National Institute for Environmental Studies, 16-2 Onogawa, Tsukuba 305-8506, Japan
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- Radiometric Comparison of 1.6-μm CO2 Absorption Band of Greenhouse Gases Observing Satellite (GOSAT) TANSO-FTS with Suomi-NPP VIIRS SWIR Band S. Uprety & C. Cao https://doi.org/10.1175/JTECH-D-15-0157.1
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26 citations as recorded by crossref.
- Five years of GOSAT-2 retrievals with RemoTeC: XCO2 and XCH4 data products with quality filtering by machine learning A. Barr et al. https://doi.org/10.5194/amt-18-6093-2025
- Using ocean-glint scattered sunlight as a diagnostic tool for satellite remote sensing of greenhouse gases A. Butz et al. https://doi.org/10.5194/amt-6-2509-2013
- Consistent satellite XCO2 retrievals from SCIAMACHY and GOSAT using the BESD algorithm J. Heymann et al. https://doi.org/10.5194/amt-8-2961-2015
- Impact of Aerosol Property on the Accuracy of a CO2 Retrieval Algorithm from Satellite Remote Sensing Y. Jung et al. https://doi.org/10.3390/rs8040322
- Three-dimensional view of CO2 variability in the atmosphere over the Indian region M. Pathakoti et al. https://doi.org/10.1016/j.atmosres.2023.106785
- MCF-XCO2: A cross-mission consistency and fusion framework for integrating multi-satellite XCO2 observations Y. Yu et al. https://doi.org/10.1016/j.atmosres.2026.108747
- Radiometric Comparison of 1.6-μm CO2 Absorption Band of Greenhouse Gases Observing Satellite (GOSAT) TANSO-FTS with Suomi-NPP VIIRS SWIR Band S. Uprety & C. Cao https://doi.org/10.1175/JTECH-D-15-0157.1
- Spectral Dependent Degradation of the Solar Diffuser on Suomi-NPP VIIRS Due to Surface Roughness-Induced Rayleigh Scattering X. Shao et al. https://doi.org/10.3390/rs8030254
- Regional CO2 flux estimates for 2009–2010 based on GOSAT and ground-based CO2 observations S. Maksyutov et al. https://doi.org/10.5194/acp-13-9351-2013
- CO2 concentration and its spatiotemporal variation in the troposphere using multi-sensor satellite data, carbon tracker, and aircraft observations S. Lee et al. https://doi.org/10.1080/15481603.2017.1317120
- Evaluating Radiometric Responsivity Degradations of TANSO-FTS/GOSAT Using Principal Component Analysis Y. Someya & Y. Yoshida https://doi.org/10.1175/JTECH-D-19-0224.1
- High Accuracy Solar Diffuser BRDF Measurement for On-Board Calibration in the Solar Reflective Band Z. Zhang et al. https://doi.org/10.3390/rs15153783
- Long-Term Vicarious Calibration of GOSAT Short-Wave Sensors: Techniques for Error Reduction and New Estimates of Radiometric Degradation Factors A. Kuze et al. https://doi.org/10.1109/TGRS.2013.2278696
- The increasing atmospheric CO2 over India: Comparison to global trends J. Kuttippurath et al. https://doi.org/10.1016/j.isci.2022.104863
- Column-averaged CO2 concentrations in the subarctic from GOSAT retrievals and NIES transport model simulations D. Belikov et al. https://doi.org/10.1016/j.polar.2014.02.002
- On the zero-level offset in the GOSAT TANSO-FTS O2 A band and the quality of solar-induced chlorophyll fluorescence (SIF): comparison of SIF between GOSAT and OCO-2 H. Oshio et al. https://doi.org/10.5194/amt-12-6721-2019
- Vicarious Radiometric Calibration of the AHSI Instrument Onboard ZY1E on Dunhuang Radiometric Calibration Site L. Yan et al. https://doi.org/10.1109/TGRS.2022.3180120
- Intercomparison of XH2O Data from the GOSAT TANSO-FTS (TIR and SWIR) and Ground-Based FTS Measurements: Impact of the Spatial Variability of XH2O on the Intercomparison H. Ohyama et al. https://doi.org/10.3390/rs9010064
- XCO2 satellite retrieval experiments in short-wave and infrared spectra with SCIATRAN model for Sahara Desert Y. Li et al. https://doi.org/10.1007/s11430-015-0198-x
- Assessment of seasonal variations of carbon dioxide concentration in Iran using GOSAT data S. Mousavi et al. https://doi.org/10.1111/1477-8947.12121
- Bias Correction of the Ratio of Total Column CH4 to CO2 Retrieved from GOSAT Spectra H. Oshio et al. https://doi.org/10.3390/rs12193155
- ColorSate: A Color Correction Network for Satellite Imagery With Channel-Specific Distortion Decoder D. Kim et al. https://doi.org/10.1109/JSTARS.2026.3694576
- A comparison of satellite observations with the XCO 2 surface obtained by fusing TCCON measurements and GEOS-Chem model outputs L. Zhang et al. https://doi.org/10.1016/j.scitotenv.2017.06.018
- Surface Roughness-Induced Spectral Degradation of Multi-Spaceborne Solar Diffusers Due to Space Radiation Exposure X. Shao et al. https://doi.org/10.1109/TGRS.2019.2922070
- Update on the GOSAT TANSO–FTS SWIR Level 2 retrieval algorithm Y. Someya et al. https://doi.org/10.5194/amt-16-1477-2023
- Improvement of the retrieval algorithm for GOSAT SWIR XCO2 and XCH4 and their validation using TCCON data Y. Yoshida et al. https://doi.org/10.5194/amt-6-1533-2013
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