A triple collocation-based 2D soil moisture merging methodology considering spatial and temporal non-stationary errors
A triple collocation-based 2D soil moisture merging methodology considering spatial and temporal non-stationary errors
复制标题
考虑时空非平稳误差的基于三重配置的二维土壤水分合并方法
DOI：
10.1016/j.rse.2021.112509
复制
发表时间：
2021-09
影响因子：
13.5
通讯作者：
Feng Huihui
中科院分区：
文献类型：
--
作者：
Zhou Jianhong;Crow Wade T.;Wu Zhiyong;Dong Jianzhi;He Hai;Feng Huihui
在遥感（RS）和模拟土壤水分（SM）产品的随机误差通常被假定为统计平稳的SM合并应用的目的。实际上，这种误差通常是非平稳的，这可能会破坏基于平稳假设的应用。在这里，我们介绍了一个双时空（2D）SM合并方法，考虑一类推断的错误，这是非平稳的，在时间（或空间），但在空间（或时间）是固定的和可检测的。这种2D合并是在最小二乘框架中实现的，其中每个产品的空间和时间误差方差通过三重配置（TC）分析来估计。作为测试用例，通过组合三个独立的SM产品（包括两个RS SM产品和一个建模SM产品）来获得二维合并SM产品。结果表明，二维合并方法可以有效地处理非平稳误差，因此，产生一个上级合并SM产品比经典的一维合并方法。与现场观测的空间和时间相关性平均为0.62和0.63 [−]，对于二维合并方法，平均为0.58和0.59 [−]，对于经典的一维合并方法。该方法能够更有效地检测和消除多源SM产品融合过程中的非平稳误差，对未来的全局多源SM产品融合具有重要的意义。
Random error in remotely sensed (RS) and modeled soil moisture (SM) products is typically assumed to be statistically stationary for the purpose of SM merging applications. In reality, such error is often non-stationary, which may undermine applications based on a stationary assumption. Here, we introduce a dual time-space (2D) SM merging approach that considers a class of inferred error that is non-stationary and undetectable in time (or space) but stationary and detectable in space (or time). Such 2D merging is realized in a least-squares framework where spatial and temporal error variances for each product are estimated via a triple collocation (TC) analysis. As a test case, a 2D-merged SM product is obtained by combining three independent SM products – including two RS SM products and one modeled SM product. Results show that the 2D merging method can effectively handle non-stationary errors and, as a result, produces a superior merged SM product than classical 1D merging methods. The spatial and temporal correlations with in-situ observations are 0.62 and 0.63 [−] on average for 2D merging methods, and 0.58 and 0.59 [−] on average for classical 1D merging methods. By providing a more effective way to detect and remove non-stationary errors during the process of merging multi-source SM products, this approach will improve future global multi-source merged SM products.
登录
查看更多内容
影响因子：
5.4
作者：
G. Nearing;S. Yatheendradas;W. Crow;X. Zhan;Jicheng Liu;Fan Chen
通讯作者：
G. Nearing;S. Yatheendradas;W. Crow;X. Zhan;Jicheng Liu;Fan Chen
影响因子：
4.6
作者：
W. Lahoz;Gabriëlle J. M. De Lannoy
通讯作者：
W. Lahoz;Gabriëlle J. M. De Lannoy
影响因子：
5.4
作者：
C. Reynolds;T. Jackson;W. Rawls
通讯作者：
C. Reynolds;T. Jackson;W. Rawls
影响因子：
4.4
作者：
Ek, MB;Mitchell, KE;Tarpley, JD
通讯作者：
Tarpley, JD
影响因子：
13.5
作者：
W. Wagner;G. Lemoine;H. Rott
通讯作者：
W. Wagner;G. Lemoine;H. Rott