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- 2016
HJ-1B热红外LST反演及利用偏微分对其误差精度分析
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Abstract:
针对HJ-1B热红外波段特点，采用修正型QK&B算法，反演广州市2013-01-14的地表温度（land surface temperature，LST）。建立偏微分方程得出，当辐射率误差为0.01时，引起的LST误差约为0.6 K，LST误差与大气透过率成反比，与大气透过率误差成正比，0.1的透过率误差引起LST误差约1 K。大气水汽含量w误差与LST误差成线性关系，当大气水汽含量误差为0.1 g/cm2时，引起LST误差约为0.2 K。LST反演误差与近地表气温误差和大气平均作用温度误差均成正比，1 K的近地表气温误差引起LST反演误差约1K。总的来说，LST反演误差与区间比值和大气平均作用温度误差和近地表气温误差相关。用算法反演出来的广州市地表温度与MOD11_L2温度产品具有较强的空间一致性，温度差值曲线呈正态分布，主要集中在-0.9~0.9℃区域，选取广州市6个观测点，得出修正型QK&B算法和实测地温平均值相差约为0.31 K，MOD11_L2与实测地温的温度平均值相差0.65 K，误差均小于1 K。通过对修正型QK&B算法偏微分方程的推导，可对HJ-1B/IRS中的LST反演进行更细致和精确的分析，为其他针对环境卫星热红外波段类似反演LST的算法提供一定的借鉴，也为后续提高LST反演精度提供科学依据
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