An Approach to Estimating Spatially Correlated Error Covariance of Remote Sensing Retrieved Soil Moisture

WU Kai; SHU Hong; NIE Lei; JIAO Zhenhang

doi:10.13203/j.whugis20170133

Volume 44 Issue 5

May 2019

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Geomatics and Information Science of Wuhan University > 2019 > 44(5): 751-757. > DOI: 10.13203/j.whugis20170133

WU Kai, SHU Hong, NIE Lei, JIAO Zhenhang. An Approach to Estimating Spatially Correlated Error Covariance of Remote Sensing Retrieved Soil Moisture[J]. Geomatics and Information Science of Wuhan University, 2019, 44(5): 751-757. DOI: 10.13203/j.whugis20170133

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An Approach to Estimating Spatially Correlated Error Covariance of Remote Sensing Retrieved Soil Moisture

1.
State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China

Funds:

National Natural Science Foundation of China 41331175

Fundamental Research Funds for the Central Universities 2042016kf0176

Fundamental Research Funds for the Central Universities 2042016kf1035

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Author Bio:
WU Kai, PhD candidate, specializes in remote sensing data assimilation. E-mail: 932361864@qq.com
Corresponding author:
SHU Hong, PhD, professor. E-mail: shu_hong@whu.edu.cn
Received Date: December 28, 2017
Published Date: May 04, 2019

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Abstract

Abstract

We have designed an approach TC_Cov based on triple collocation covariance, which can be used to estimate spatially correlated error covariance of three soil moisture data sets retrieved from satellite data. In theory, we formalize each grid into one random variable and soil moisture time series of two grids into samples of two random variables, then the covariance of two random variables are estimated. An element of multivariate covariance matrix takes bivariate covariance. The experimental results are analyzed in a qualitative way. In the experimental region of Murrumbidgee catchment located in Australia, the error covariances of soil moisture data sets retrieved from ASCAT scatterometer, TRMM radiometer and ERA-Interim reanalysis data are estimated, and experimental results obey the Tobler's first law well and explain real soil moisture error covariance estimation effectively.
- soil moisture,
- error spatial covariance,
- triple collocation,
- TC_Cov

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An Approach to Estimating Spatially Correlated Error Covariance of Remote Sensing Retrieved Soil Moisture

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