多角度热红外亮温值的模型拟合与应用

通过二向性反射率分布函数(BRDF)核驱动模型对黑河试验多角度热红外机载数据的拟合,证明了核驱动模型具有热红外波段的外延能力,确定了适用于多角度热红外数据的最佳核函数组合.在热辐射方向性核系数组合因子与地表温度(LST)构成的特征空间中构建、提取了多角度热红外干旱指数(MTDI).在黑河各试验区,MTDI和温度植被干旱指数(TVDI)的反演结果非常相近(相关系数大于0.87),表明核驱动模型在热红外波段也是分析方向性辐射信息的有效模型....

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Published in红外与毫米波学报 Vol. 30; no. 4; pp. 361 - 365
Main Author 彭菁菁 刘强 柳钦火 李加洪 马红章 方莉
Format Journal Article
LanguageChinese
Published 中国科学院遥感应用研究所遥感科学国家重点实验室,北京,100101%中国科学院遥感应用研究所遥感科学国家重点实验室,北京100101 2011
北京师范大学全球变化与地球系统科学研究院,北京100875%中国科学院遥感应用研究所遥感科学国家重点实验室,北京100101
国家遥感中心,北京100036
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ISSN1001-9014

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Summary:通过二向性反射率分布函数(BRDF)核驱动模型对黑河试验多角度热红外机载数据的拟合,证明了核驱动模型具有热红外波段的外延能力,确定了适用于多角度热红外数据的最佳核函数组合.在热辐射方向性核系数组合因子与地表温度(LST)构成的特征空间中构建、提取了多角度热红外干旱指数(MTDI).在黑河各试验区,MTDI和温度植被干旱指数(TVDI)的反演结果非常相近(相关系数大于0.87),表明核驱动模型在热红外波段也是分析方向性辐射信息的有效模型.
Bibliography:multiangular remote sensing; thermal infrared remote sensing; kernel-driven model; soil moisture; wide-angle infrared dual-mode line/area array scanner(WiDAS)
This paper has proved the data fitting and extrapolating ability of the kernel-driven model in TIR band by simulation of the multi-angle thermal infrared images of Linze grassland acquired in WATER campaign with the model.Additionally,the most suitable kernel-driven model available for multi-angle thermal imagery has been identified.In the feature space of land surface temperature(LST) and a combination of model coefficients which describes the actual surface directional radiative characteristics,a multi-angle thermal infrared dryness index(MTDI) is constructed and extracted out.The correlation coefficient of simulated MTDI and corresponding Temperature-Vegetation Dryness Index(TVDI) is greater than 0.87.It can be inferred that the kernel driven model is also effective in the analysis of directional radiative information in thermal infrared band.
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ISSN:1001-9014