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-  2016 

利用MODIS温度产品进行秩修正滤波FRF时空插值
Using Fixed Rank Filtering to Make Spatio-Temporal Interpolation of MODIS Temperature

DOI: 10.13203/j.whugis20140495

Keywords: 秩修正滤波,时空,秩修正克里金,MODIS温度产品,时空随机效应模型,
fixed rank filtering
,spatio-temporal,fixed rank kriging,MODIS temperature product,spatio-Temporal Random effects

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Abstract:

普通克里金方法具有空间结构探索及插值分析(给出插值结果及其精度)的功能。但是,绝大部分的克里金方法主要用于空间插值,在时空插值方面的研究还较少。综合考虑具体的实验区域和观测数据构建基函数,使用秩修正滤波(fixed rank filtering, FRF)方法对MODIS平流层温度数据进行时空插值预测并将其结果与秩修正克里金(Fixed rank Kriging, FRK)方法的插值结果进行对比分析。实验结果表明,在空间数据(空间点)整体分布均匀且有已知点的情况下,FRK方法预测的数据精度更高,略优于FRF;而对于较大空间范围内缺失数据的情况,考虑温度在时间维上具有一定的相关性,FRF方法在缺失空间信息时能够引入更多时空信息从而获得较其他方法更高质量的插值结果

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