Validation of SMOS Soil Moisture Products over the Maqu and Twente Regions
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 so...
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| Format: | Article |
| Language: | English |
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MDPI AG
2012-07-01
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| Series: | Sensors |
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| Online Access: | http://www.mdpi.com/1424-8220/12/8/9965 |
| _version_ | 1811185273985302528 |
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| author | Jun Wen Laura Dente Zhongbo Su |
| author_facet | Jun Wen Laura Dente Zhongbo Su |
| author_sort | Jun Wen |
| collection | DOAJ |
| description | 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 <em>in situ</em> 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 <em>in situ</em> 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<sup>3</sup>/m<sup>3</sup> for the Maqu region and 0.17 m<sup>3</sup>/m<sup>3</sup> 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. |
| first_indexed | 2024-04-11T13:26:40Z |
| format | Article |
| id | doaj.art-6504c767c40d47188e197924ea6e87de |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T13:26:40Z |
| publishDate | 2012-07-01 |
| publisher | MDPI AG |
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| series | Sensors |
| spelling | doaj.art-6504c767c40d47188e197924ea6e87de2022-12-22T04:22:02ZengMDPI AGSensors1424-82202012-07-011289965998610.3390/s120809965Validation of SMOS Soil Moisture Products over the Maqu and Twente RegionsJun WenLaura DenteZhongbo SuThe 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 <em>in situ</em> 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 <em>in situ</em> 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<sup>3</sup>/m<sup>3</sup> for the Maqu region and 0.17 m<sup>3</sup>/m<sup>3</sup> 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.http://www.mdpi.com/1424-8220/12/8/9965soil moistureSMOSvalidationTibetan PlateauMaquTwente |
| spellingShingle | Jun Wen Laura Dente Zhongbo Su Validation of SMOS Soil Moisture Products over the Maqu and Twente Regions Sensors soil moisture SMOS validation Tibetan Plateau Maqu Twente |
| title | Validation of SMOS Soil Moisture Products over the Maqu and Twente Regions |
| title_full | Validation of SMOS Soil Moisture Products over the Maqu and Twente Regions |
| title_fullStr | Validation of SMOS Soil Moisture Products over the Maqu and Twente Regions |
| title_full_unstemmed | Validation of SMOS Soil Moisture Products over the Maqu and Twente Regions |
| title_short | Validation of SMOS Soil Moisture Products over the Maqu and Twente Regions |
| title_sort | validation of smos soil moisture products over the maqu and twente regions |
| topic | soil moisture SMOS validation Tibetan Plateau Maqu Twente |
| url | http://www.mdpi.com/1424-8220/12/8/9965 |
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