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首页> 外文期刊>IEEE Transactions on Geoscience and Remote Sensing >Retrieval of surface temperature in boreal forest zone from SSM/I data
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Retrieval of surface temperature in boreal forest zone from SSM/I data

机译：从SSM / I数据反演寒带林地表温度

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摘要

Novel inversion methods for the retrieval of surface temperature (air temperature at ground level) in forested areas using space-borne multi-channel microwave radiometer data are presented and analyzed. The first technique is an inversion method based on the use of a constrained least squares algorithm for the inversion of a semi-empirical emission model. The other methods discussed are empirical approaches: multiple linear regression and polarization difference formulas. The validity of the inversion method, as well as the feasibility of the empirical approaches, are evaluated in the case of Finnish boreal forests employing SSM/I data. The results show that for conifer dominated boreal forests the surface temperature can be estimated reliably from SSM/I measurements during snow-free conditions. The highest test site-wise determined correlation coefficients (r) between the ground-based reference values (near-surface air temperature) and the SSM/I-based estimates are above 0.97 and the corresponding unbiased rms errors are smaller than 1.3/spl deg/C. These values were obtained using morning time overpasses of the SSM/I without any data rejection.
机译：提出并分析了利用星载多通道微波辐射计数据检索林区地表温度（地面温度）的新型反演方法。第一种技术是基于约束最小二乘算法用于半经验排放模型反演的反演方法。讨论的其他方法是经验方法：多元线性回归和极化差异公式。在使用SSM / I数据的芬兰北方森林中，评估了反演方法的有效性以及经验方法的可行性。结果表明，对于以针叶树为主的北方森林，在无雪条件下可以通过SSM / I测量可靠地估算地表温度。基于地面的参考值（近地空气温度）与基于SSM / I的估计之间的最高测试现场确定的相关系数（r）高于0.97，相应的无偏rms误差小于1.3 / spl度/C。这些值是使用SSM / I的凌晨时间超越而获得的，没有任何数据拒绝。

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