首页> 外文期刊>IEEE Transactions on Geoscience and Remote Sensing >Long-Term Vicarious Calibration of GOSAT Short-Wave Sensors: Techniques for Error Reduction and New Estimates of Radiometric Degradation Factors
【24h】

Long-Term Vicarious Calibration of GOSAT Short-Wave Sensors: Techniques for Error Reduction and New Estimates of Radiometric Degradation Factors

机译:GOSAT短波传感器的长期替代校准:减少误差的技术和辐射度下降因子的新估计

获取原文
获取原文并翻译 | 示例
           

摘要

This work describes the radiometric calibration of the short-wave infrared (SWIR) bands of two instruments aboard the Greenhouse gases Observing SATellite (GOSAT), the Thermal And Near infrared Sensor for carbon Observations Fourier Transform Spectrometer (TANSO-FTS) and the Cloud and Aerosol Imager (TANSO-CAI). Four vicarious calibration campaigns (VCCs) have been performed annually since June 2009 at Railroad Valley, NV, USA, to estimate changes in the radiometric response of both sensors. While the 2009 campaign $( hbox{VCC}^{2009})$ indicated significant initial degradation in the sensors compared to the prelaunch values, the results presented here show that the stability of the sensors has improved with time. The largest changes were seen in the 0.76 $muhbox{m}$ oxygen A-band for TANSO-FTS and in the 0.380 and 0.674 $muhbox{m}$ bands for TANSO-CAI. This paper describes techniques used to optimize the vicarious calibration of the GOSAT SWIR sensors. We discuss error reductions, relative to previous work, achieved by using higher quality and more comprehensive in situ measurements and proper selection of reference remote sensing products from the Moderate Resolution Imaging Spectroradiometer used in radiative transfer calculations to model top-of-the-atmosphere radiances. In addition, we present new estimates of TANSO-FTS radiometric degradation factors derived by combining the new vicarious calibration results with the time-dependent model provided by Yoshida (2012), which is based on analysis of on-board solar diffuser data. We conclude that this combined model provides a robust correction for TANSO-FTS Level 1B spectra. A detailed error budget for TANSO-FTS vicarious calibration is also provided.
机译:这项工作描述了温室气体观测卫星(GOSAT),用于碳观测的热和近红外传感器,傅里叶变换光谱仪(TANSO-FTS)以及云和红外光谱仪上的两种仪器的短波红外(SWIR)波段的辐射校准。气溶胶成像仪(TANSO-CAI)。自2009年6月以来,每年在美国内华达州铁路谷进行四次替代校准活动(VCC),以估算两个传感器的辐射响应变化。尽管2009年竞选$(hbox {VCC} ^ {2009})$表明传感器的初始性能与启动前的值相比有显着下降,但此处显示的结果表明传感器的稳定性随时间而提高。最大的变化出现在TANSO-FTS的0.76 muhbox {m} $氧气A波段和TANSO-CAI的0.380和0.674 $ muhbox {m} $波段中。本文介绍了用于优化GOSAT SWIR传感器替代校准的技术。我们将讨论通过使用更高质量,更全面的原位测量以及从中等分辨率成像光谱仪中正确选择参考遥感产品(通过用于辐射传输计算来模拟大气最高辐射)实现的相对于先前工作的减少误差。 。另外,我们提出了新的TANSO-FTS辐射降解因子估计值,该估计值是通过将新的替代校准结果与吉田(2012)提供的基于时间的模型相结合而得出的,该模型基于对车载太阳能扩散器数据的分析。我们得出的结论是,该组合模型为TANSO-FTS 1B级光谱提供了可靠的校正。还提供了TANSO-FTS替代校准的详细误差预​​算。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号