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面向平流层传感器的红外多光谱地表温度反演仿真 被引量:1

Simulation of Land Surface Temperature Inversion for Stratospheric Sensor
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摘要 针对平流层载荷在对地观测应用中精确获取地表温度的需求,基于SeeBor大气廓线集和MODIS分裂窗通道的参数建立了平流层仿真数据集,分析了通用分裂窗算法在平流层高度获取地物温度的有效性;开展了反演精度对观测高度、发射率、水汽含量、噪声等效温差(NETD)和光谱响应漂移的敏感性分析。仿真结果表明,算法的理论误差为0.185 K,其中发射率和NETD对反演误差的贡献最大。最后分析了不同影响因素的偏差约束需求,结果表明在发射率不确定性优于1%、NETD优于0.4 K、光谱响应漂移在-3~3 nm的条件下,温度反演精度可以实现优于2 K的水平。 In order to accurately obtain land surface temperature(LST)from stratospheric platform,a simulation data set was established based on the SeeBor atmospheric profile training dataset and MODIS split window channel parameters.Firstly,the effectiveness of the general split window algorithm obtaining surface temperature at stratospheric altitude was analyzed;then,the sensitivities of several key parameters such as observation height,emissivity,water vapor content,noise equivalent temperature difference(NETD),and spectral response drift were analyzed.The LST simulation shows a theoretical error of 0.185 K,in which the emissivity and NETD dominate inversion error.Finally,the deviation constraint demand of different influencing factors is analyzed.Results show that if the uncertainty of emissivity and NETD can be controlled within 1%and 0.4 K,respectively,with spectral response drift within±3 nm,the temperature inversion accuracy can be better than 2 K.
作者 叶松 夏侯琪 吴军 熊伟 崔方晓 李大成 Ye Song;Xiahou Qi;Wu Jun;Xiong Wei;Cui Fangxiao;Li Dacheng(School of Electronic Engineering and Automation,Guilin University of Electronic Technology,Guilin 541004,Guangai,China;Key Laboratory of General Optical Calibration and Characterization of Chinese Academy of Sciences,Anhui Institute of Optics and Fine Mechanics,Chinese Academy of Sciences,Hefei 230031,Anhui,China;Guangxi Key Laboratory of Optoelectronic Information Processing,Guilin 541004,Guangxi,China)
出处 《光学学报》 EI CAS CSCD 北大核心 2022年第12期55-65,共11页 Acta Optica Sinica
基金 高分专项(52-L10D01-0613-20/22)。
关键词 大气光学 平流层 地表温度 分裂窗算法 敏感性分析 atmospheric optics stratosphere land surface temperature split-window algorithm sensitivity analysis
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