大气环境红外甚高光谱分辨率探测仪数字建模与仿真
|
摘要
"高分五号"卫星是中国高分专项工程中的唯一一颗实现高光谱分辨率的遥感卫星,其中搭载的大气环境红外甚高光谱分辨率探测仪(Atmospheric Infrared Ultra-spectral Sounder,AIUS)是中国第一个星载超高光谱掩星探测载荷,是中国目前光谱分辨率最高的星载傅里叶变换光谱仪。文章基于AIUS的探测原理,以掩星观测路径的能量传输为线索,研究探测仪数据获取链路中各个环节的辐射传输过程,建立了包括大气红外辐射传输仿真和探测器仿真的数字化建模与仿真模型,并对仿真模型进行了精度验证,充分验证了数字仿真模型的有效性和准确性。验证试验结果表明:数字仿真模型具有高精度的数据仿真能力,所有通道仿真数据与实际测量数据相比,相对误差小于2%,数据相似度优于0.99。因此,数字仿真模型能够为"高分五号"卫星大气环境红外甚高光谱分辨率探测仪在轨成像质量预测、指标参数优化和应用能力评价提供重要的数据支撑。
GF-5 is a Hyperspectral remote sensing satellite in the GF series of satellites. The key payload, the Atmospheric Infrared Ultra-spectral Sounder(AIUS), is the first spaceborne occultation sensor with ultra-spectral resolution, as well as the spaceborne fourier transform spectrometer with finest spectral resolution. A digital simulation model is established based on the sounding theory of AIUS. This paper takes the energy transmission of the occultation path as a clue and then simulates the radiative transfer process of each link in chain approach of AIUS. Then an experiment for accuracy evaluation is accomplished by applying the digital simulation model to an in-situ measurement. Experimental results indicate that the overall relative error is below 2% and the similarity is better than 0.99, which prove that the digital model can simulate the AIUS data with good accuracy and perfect performance in subsequent application.
GF-5 is a Hyperspectral remote sensing satellite in the GF series of satellites. The key payload, the Atmospheric Infrared Ultra-spectral Sounder(AIUS), is the first spaceborne occultation sensor with ultra-spectral resolution, as well as the spaceborne fourier transform spectrometer with finest spectral resolution. A digital simulation model is established based on the sounding theory of AIUS. This paper takes the energy transmission of the occultation path as a clue and then simulates the radiative transfer process of each link in chain approach of AIUS. Then an experiment for accuracy evaluation is accomplished by applying the digital simulation model to an in-situ measurement. Experimental results indicate that the overall relative error is below 2% and the similarity is better than 0.99, which prove that the digital model can simulate the AIUS data with good accuracy and perfect performance in subsequent application.
引文
[1]WALKER K A,BERNATH P F.Validation Measurement Program for the Atmospheric Chemistry Experiment[J].Proc.of SPIE,2002,4814:91-101.
[2]江澄,赵慧洁,李娜.改进的地基红外超光谱数据痕量气体反演方法[J].光学学报,2011,31(7):10-14.JIANG Cheng,ZHAO Huijie,LI Na.Improved Retrieval Algorithm of Trace Gas from Ground-based Infrared Ultra-spectral Data[J].Acta Optica Sinica,2011,31(7):10-14.(in Chinese)
[3]程洁,柳钦火,李小文.星载高光谱红外传感器反演大气痕量气体综述[J].遥感信息,2007(2):90-97.CHENG Jie,LIU Qinhuo,LI Xiaowen.Review of Trace Gases Inversion Utilizing Space-borne Hyperspectral Infrared Remote Sensor Data[J].Remote Sensing Information,2007(2):90-97.(in Chinese)
[4]齐卫红,尉昊赟,阴丽娜.大气成分探测红外光谱仪系统指标分析[J].航天返回与遥感,2013,34(5):36-45.QI Weihong,WEI Haoyun,YIN Lina.Analysis on Infrared Spectrometer System Specification for Atmospheric Composition Detecting[J].Spacecraft Recovery&Remote Sensing,2013,34(5):36-45.(in Chinese)
[5]巫晓丽,范东栋,王平.空间大气成分探测傅立叶变换红外光谱仪[J].航天返回与遥感,2007,28(2):15-20.WU Xiaoli,FAN Dongdong,WANG Ping.Fourier-transform Infrared Spectrometer for Space Atmospheric Component Detecting[J].Spacecraft Recovery&Remote Sensing,2007,28(2):15-20.(in Chinese)
[6]范斌,陈旭,李碧岑,等.“高分五号”卫星光学遥感载荷的技术创新[J].红外与激光工程,2017,46(1):8-14.FAN Bin,CHEN Xu,LI Bicen,et al.Technical Innovation of Optical Remote Sensing Payloads Onboard GF-5 Satellite[J].Infrared and Laser Engineering,2017,46(1):8-14.(in Chinese)
[7]TAKAGI H,SAEKI T,ODA T,et al.On the Benefit of GOSAT Observations to the Estimation of Regional CO2Fluxes[J].Scientific Online Letters on the Atmosphere Sola,2011,7(1):161-164.
[8]YOSHIDA Y,OTA Y,EGUCHI N,et al.Retrieval Algorithm for CO2 and CH4 Column Abundances from Short-wavelength Infrared Spectral Observations by the Greenhouse Gases Observing Satellite[J].Atmospheric Measurement Techniques,2011,4(4):717-734.
[9]BERNATH P F.Atmospheric Chemistry Experiment(ACE):An Overview Spectroscopy from Space[M].Netherlands:Springer,2002:147-161.
[10]BERNATH P F.Atmospheric Chemistry Experiment(ACE):Analytical Chemistry from Orbit[J].Trac-Trends in Analytical Chemistry,2006,25(7):647-654.
[11]LION K N.An Introduction to Atmospheric Radiation[M].2ed.USA:Elsevier Science,2002:68-104.
[12]白文广,张鹏,张文建,等.一种高效计算高光谱分辨率红外大气辐射传输的方法[J].红外与毫米波学报,2016,35(1):99-108.BAI Wenguang,ZHANG Peng,ZHANG Wenjian,et al.An Efficient Method for Hyper-spectral Infrared Atmospheric Radiation Transfer Calculation[J].Journal of Infrared and Millime Waves,2016,35(1):99-108.(in Chinese)
[13]SHEPHARD M W,CLOUGH S A,PAYNE V H,et al.Performance of the Line-by-line Radiative Transfer Model(LBLRTM)for Temperature and Species Retrievals:IASI Case Studies from JAIVEx[J].Atmos Chem Phys Atmospheric Chemistry&Physics,2009,9(2):7397-7417.
[14]ROZANOV A,ROZANOV V,BUCHWITZ M,et al.SCIATRAN 2.0—A New Radiative Transfer Model for Geophysical Applications in the 175~2400 nm Spectral Region[J].Advances in Space Research,2005,36(5):1015-1019.
[15]ROZANOV V,ROZANOV A,KOKHANOVSKY A A,et al.Radiative Transfer through Terrestrial Atmosphere and Ocean:Software Package SCIATRAN[J].Journal of Quantitative Spectroscopy&Radiative Transfer,2014,133(2):13-71.
[16]BLUM M,ROZANOV V,BURROWS J P,et al.Coupled Ocean-atmosphere Radiative Transfer Model in the Framework of Software Package SCIATRAN:Selected Comparisons to Model and Satellite Data[J].Advances in Space Research,2012,49(12):1728-1742.
[17]张恭正,陈圣波,王明常,等.基于SCIATRAN模型的Limb大气辐射传输模拟[J].科学技术与工程,2010,10(6):1506-1509.ZHAGN Gongzheng,CHEN Shengbo,WANG Mingchang,et al.SCIATRAN Based Limb Atmospheric Radiative Transfer Simulation[J].Science Technology and Engineering,2010,10(6):1506-1509.(in Chinese)
[18]陈世平.空间相机设计与试验[M].北京:中国宇航出版社,2003:203-210.CHEN Shiping.Design and Experiment of Space Cameras[M].Beijing:China Astronautic Publishing House,2003:203-210.(in Chinese)
[19]王倩,杨忠东,毕研盟.CO2高光谱遥感仪器的光谱参数和信噪比要求[J].应用气象学报,2014,25(5):600-609.WANG Qian,YANG Zhongdong,BI Yanmeng.Spectral Parameters and Signal-to-noise Ratio Requirement for CO2Hyper Spectral Remote Sensor[J].Journal of Applied Meteorological Science,2014,25(5):600-609.(in Chinese)
[20]施海亮,熊伟,罗海燕,等.新型超光谱大气CO2遥感探测技术[J].光电工程,2013,40(8):36-41.SHI Hailiang,XIONG Wei,LUO Haiyan,et al.Novel Hyper-spectral Technology for Atmospheric Carbon Dioxide Detection[J].Opto-electronic Engineering,2013,40(8):36-41.(in Chinese)
[2]江澄,赵慧洁,李娜.改进的地基红外超光谱数据痕量气体反演方法[J].光学学报,2011,31(7):10-14.JIANG Cheng,ZHAO Huijie,LI Na.Improved Retrieval Algorithm of Trace Gas from Ground-based Infrared Ultra-spectral Data[J].Acta Optica Sinica,2011,31(7):10-14.(in Chinese)
[3]程洁,柳钦火,李小文.星载高光谱红外传感器反演大气痕量气体综述[J].遥感信息,2007(2):90-97.CHENG Jie,LIU Qinhuo,LI Xiaowen.Review of Trace Gases Inversion Utilizing Space-borne Hyperspectral Infrared Remote Sensor Data[J].Remote Sensing Information,2007(2):90-97.(in Chinese)
[4]齐卫红,尉昊赟,阴丽娜.大气成分探测红外光谱仪系统指标分析[J].航天返回与遥感,2013,34(5):36-45.QI Weihong,WEI Haoyun,YIN Lina.Analysis on Infrared Spectrometer System Specification for Atmospheric Composition Detecting[J].Spacecraft Recovery&Remote Sensing,2013,34(5):36-45.(in Chinese)
[5]巫晓丽,范东栋,王平.空间大气成分探测傅立叶变换红外光谱仪[J].航天返回与遥感,2007,28(2):15-20.WU Xiaoli,FAN Dongdong,WANG Ping.Fourier-transform Infrared Spectrometer for Space Atmospheric Component Detecting[J].Spacecraft Recovery&Remote Sensing,2007,28(2):15-20.(in Chinese)
[6]范斌,陈旭,李碧岑,等.“高分五号”卫星光学遥感载荷的技术创新[J].红外与激光工程,2017,46(1):8-14.FAN Bin,CHEN Xu,LI Bicen,et al.Technical Innovation of Optical Remote Sensing Payloads Onboard GF-5 Satellite[J].Infrared and Laser Engineering,2017,46(1):8-14.(in Chinese)
[7]TAKAGI H,SAEKI T,ODA T,et al.On the Benefit of GOSAT Observations to the Estimation of Regional CO2Fluxes[J].Scientific Online Letters on the Atmosphere Sola,2011,7(1):161-164.
[8]YOSHIDA Y,OTA Y,EGUCHI N,et al.Retrieval Algorithm for CO2 and CH4 Column Abundances from Short-wavelength Infrared Spectral Observations by the Greenhouse Gases Observing Satellite[J].Atmospheric Measurement Techniques,2011,4(4):717-734.
[9]BERNATH P F.Atmospheric Chemistry Experiment(ACE):An Overview Spectroscopy from Space[M].Netherlands:Springer,2002:147-161.
[10]BERNATH P F.Atmospheric Chemistry Experiment(ACE):Analytical Chemistry from Orbit[J].Trac-Trends in Analytical Chemistry,2006,25(7):647-654.
[11]LION K N.An Introduction to Atmospheric Radiation[M].2ed.USA:Elsevier Science,2002:68-104.
[12]白文广,张鹏,张文建,等.一种高效计算高光谱分辨率红外大气辐射传输的方法[J].红外与毫米波学报,2016,35(1):99-108.BAI Wenguang,ZHANG Peng,ZHANG Wenjian,et al.An Efficient Method for Hyper-spectral Infrared Atmospheric Radiation Transfer Calculation[J].Journal of Infrared and Millime Waves,2016,35(1):99-108.(in Chinese)
[13]SHEPHARD M W,CLOUGH S A,PAYNE V H,et al.Performance of the Line-by-line Radiative Transfer Model(LBLRTM)for Temperature and Species Retrievals:IASI Case Studies from JAIVEx[J].Atmos Chem Phys Atmospheric Chemistry&Physics,2009,9(2):7397-7417.
[14]ROZANOV A,ROZANOV V,BUCHWITZ M,et al.SCIATRAN 2.0—A New Radiative Transfer Model for Geophysical Applications in the 175~2400 nm Spectral Region[J].Advances in Space Research,2005,36(5):1015-1019.
[15]ROZANOV V,ROZANOV A,KOKHANOVSKY A A,et al.Radiative Transfer through Terrestrial Atmosphere and Ocean:Software Package SCIATRAN[J].Journal of Quantitative Spectroscopy&Radiative Transfer,2014,133(2):13-71.
[16]BLUM M,ROZANOV V,BURROWS J P,et al.Coupled Ocean-atmosphere Radiative Transfer Model in the Framework of Software Package SCIATRAN:Selected Comparisons to Model and Satellite Data[J].Advances in Space Research,2012,49(12):1728-1742.
[17]张恭正,陈圣波,王明常,等.基于SCIATRAN模型的Limb大气辐射传输模拟[J].科学技术与工程,2010,10(6):1506-1509.ZHAGN Gongzheng,CHEN Shengbo,WANG Mingchang,et al.SCIATRAN Based Limb Atmospheric Radiative Transfer Simulation[J].Science Technology and Engineering,2010,10(6):1506-1509.(in Chinese)
[18]陈世平.空间相机设计与试验[M].北京:中国宇航出版社,2003:203-210.CHEN Shiping.Design and Experiment of Space Cameras[M].Beijing:China Astronautic Publishing House,2003:203-210.(in Chinese)
[19]王倩,杨忠东,毕研盟.CO2高光谱遥感仪器的光谱参数和信噪比要求[J].应用气象学报,2014,25(5):600-609.WANG Qian,YANG Zhongdong,BI Yanmeng.Spectral Parameters and Signal-to-noise Ratio Requirement for CO2Hyper Spectral Remote Sensor[J].Journal of Applied Meteorological Science,2014,25(5):600-609.(in Chinese)
[20]施海亮,熊伟,罗海燕,等.新型超光谱大气CO2遥感探测技术[J].光电工程,2013,40(8):36-41.SHI Hailiang,XIONG Wei,LUO Haiyan,et al.Novel Hyper-spectral Technology for Atmospheric Carbon Dioxide Detection[J].Opto-electronic Engineering,2013,40(8):36-41.(in Chinese)