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Study on Retrieval Strategy of SMOS Soil Moisture Retrieval Algorithm |
Congkun Lao(),Na Yang(),Shaobo Xu,Yanjie Tang,Hengjie Zhang |
School of Surveying and Land Information Engineering,Henan Polytechnic University, Jiaozuo 454000, China |
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Abstract In order to reduce the complexity of SMOS official soil moisture retrieval algorithm and improve the accuracy of soil moisture retrievals, a new retrieval strategy on SMOS soil moisture retrieval algorithm was developed. In the new retrieval strategy on SMOS soil moisture retrieval algorithm, the fixed step size (0.001 m3/m3) was used to replace the flexible step size obtained by the SMOS matrix operation. The multi-parameter was changed to a single-parameter in the cost function. The data from 44 USCRN sites in the United States were compared with the soil moisture retrieved from SMOS official algorithm as well as the adjustment of SMOS algorithm. The results show that compared with the SMOS official algorithm, the average absolute deviation, root mean square error,and unbiased root mean square error of the adjustment of SMOS algorithm are reduced by 0.012 m3/m3, 0.018 m3/m3,and 0.020 m3/m3,respectively.
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Received: 09 December 2019
Published: 01 April 2020
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Corresponding Authors:
Na Yang
E-mail: lck920911@foxmail.com;yangna800522@foxmail.com
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