Triple collocation-based estimation of spatially correlated observation error covariance in remote sensing soil moisture data assimilation
Author:
Affiliation:
1. Wuhan University, State Key Laboratory of Information Engineering in Surveying, Mapping and Remote S
Publisher
SPIE-Intl Soc Optical Eng
Subject
General Earth and Planetary Sciences
Reference54 articles.
1. SMOS soil moisture assimilation for improved hydrologic simulation in the Murray Darling Basin, Australia
2. Recent advances in (soil moisture) triple collocation analysis
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4. An objective methodology for merging satellite- and model-based soil moisture products
5. International Journal for Numerical Methods in Fluids
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2. Integration of Three Standardized Drought Indices utilizing Modified Triple Collocation and Scaled Triple Collocation relative to Triple Collocation;Water Resources Management;2023-09-16
3. A global-scale intercomparison of Triple Collocation Analysis- and ground-based soil moisture time-variant errors derived from different rescaling techniques;Remote Sensing of Environment;2023-02
4. Uncertainty Estimation for SMAP Level-1 Brightness Temperature Assimilation at Different Timescales;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2022
5. Time-variant error characterization of SMAP and ASCAT soil moisture using Triple Collocation Analysis;Remote Sensing of Environment;2021-04
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