Validation of SMOS Soil Moisture Products over the Maqu and Twente Regions

被引:115
作者
Dente, Laura [1 ]
Su, Zhongbo [1 ]
Wen, Jun [2 ]
机构
[1] Univ Twente, Fac Geoinformat Sci & Earth Observat ITC, NL-7514 AE Enschede, Netherlands
[2] Chinese Acad Sci, CAREERI, Key Lab Land Surface Proc & Climate Change Cold &, Lanzhou 730000, Peoples R China
基金
美国国家科学基金会;
关键词
soil moisture; SMOS; validation; Tibetan Plateau; Maqu; Twente; BAND MICROWAVE EMISSION; RESOLUTION; MODEL; RETRIEVAL; SATELLITE; DISCOVER; DATABASE; NETWORK;
D O I
10.3390/s120809965
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
The validation of Soil Moisture and Ocean Salinity (SMOS) soil moisture products is a crucial step in the investigation of their inaccuracies and limitations, before planning further refinements of the retrieval algorithm. Therefore, this study intended to contribute to the validation of the SMOS soil moisture products, by comparing them with the data collected in situ in the Maqu (China) and Twente (The Netherlands) regions in 2010. The seasonal behavior of the SMOS soil moisture products is generally in agreement with the in situ measurements for both regions. However, the validation analysis resulted in determination coefficients of 0.55 and 0.51 over the Maqu and Twente region, respectively, for the ascending pass data, and of 0.24 and 0.41, respectively, for the descending pass data. Moreover, a systematic dry bias of the SMOS soil moisture was found of approximately 0.13 m(3)/m(3) for the Maqu region and 0.17 m(3)/m(3) for the Twente region for ascending pass data. Several factors might have affected the retrieval accuracy, such as the presence of Radio Frequency Interference (RFI), the use of inaccurate land cover information and the presence of frozen soils not correctly detected in winter. Improving the RFI filtering method and the quality of the retrieval algorithm inputs, such as land surface temperature and land cover, would certainly improve the accuracy of the retrieved soil moisture.
引用
收藏
页码:9965 / 9986
页数:22
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