Noise Mitigation of the SMOS L1C Multi-Angle Brightness Temperature Based on the Lookup Table.
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| Title: | Noise Mitigation of the SMOS L1C Multi-Angle Brightness Temperature Based on the Lookup Table. |
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| Authors: | Chen, Ke1,2 (AUTHOR), Wang, Ruile1,2 (AUTHOR), Yang, Qian1 (AUTHOR), Chen, Jiaming1,2 (AUTHOR), Gong, Jun1 (AUTHOR) gongjun@hust.edu.cn |
| Source: | Remote Sensing. Aug2025, Vol. 17 Issue 15, p2585. 17p. |
| Subjects: | Brightness temperature, Microwave radiometry, Seawater salinity, Noise control, Salinity, Calibration |
| Abstract: | Owing to the inherently lower sensitivity of microwave aperture synthesis radiometers (ASRs), Soil Moisture and Ocean Salinity (SMOS) satellite brightness temperature (TB) measurements exhibit significantly greater system noise than real-aperture microwave radiometers do. This paper introduces a novel noise mitigation method for the SMOS L1C multi-angle TB product. The proposed method develops a multi-angle sea surface TB relationship lookup table, enabling the mapping of SMOS L1C multi-angle TB data to any single-angle TB, thereby averaging to the measurements to reduce noise. Validation experiments demonstrate that the processed SMOS TB data achieve noise levels comparable to those of the Soil Moisture Active Passive (SMAP) satellite. Additionally, the salinity retrieval experiments indicate that the noise mitigation technique has a clear positive effect on SMOS salinity retrieval. [ABSTRACT FROM AUTHOR] |
| Copyright of Remote Sensing is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 187311653 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Noise Mitigation of the SMOS L1C Multi-Angle Brightness Temperature Based on the Lookup Table. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Chen%2C+Ke%22">Chen, Ke</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wang%2C+Ruile%22">Wang, Ruile</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yang%2C+Qian%22">Yang, Qian</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Chen%2C+Jiaming%22">Chen, Jiaming</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Gong%2C+Jun%22">Gong, Jun</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> gongjun@hust.edu.cn</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Remote+Sensing%22">Remote Sensing</searchLink>. Aug2025, Vol. 17 Issue 15, p2585. 17p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Brightness+temperature%22">Brightness temperature</searchLink><br /><searchLink fieldCode="DE" term="%22Microwave+radiometry%22">Microwave radiometry</searchLink><br /><searchLink fieldCode="DE" term="%22Seawater+salinity%22">Seawater salinity</searchLink><br /><searchLink fieldCode="DE" term="%22Noise+control%22">Noise control</searchLink><br /><searchLink fieldCode="DE" term="%22Salinity%22">Salinity</searchLink><br /><searchLink fieldCode="DE" term="%22Calibration%22">Calibration</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Owing to the inherently lower sensitivity of microwave aperture synthesis radiometers (ASRs), Soil Moisture and Ocean Salinity (SMOS) satellite brightness temperature (TB) measurements exhibit significantly greater system noise than real-aperture microwave radiometers do. This paper introduces a novel noise mitigation method for the SMOS L1C multi-angle TB product. The proposed method develops a multi-angle sea surface TB relationship lookup table, enabling the mapping of SMOS L1C multi-angle TB data to any single-angle TB, thereby averaging to the measurements to reduce noise. Validation experiments demonstrate that the processed SMOS TB data achieve noise levels comparable to those of the Soil Moisture Active Passive (SMAP) satellite. Additionally, the salinity retrieval experiments indicate that the noise mitigation technique has a clear positive effect on SMOS salinity retrieval. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Remote Sensing is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/rs17152585 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 17 StartPage: 2585 Subjects: – SubjectFull: Brightness temperature Type: general – SubjectFull: Microwave radiometry Type: general – SubjectFull: Seawater salinity Type: general – SubjectFull: Noise control Type: general – SubjectFull: Salinity Type: general – SubjectFull: Calibration Type: general Titles: – TitleFull: Noise Mitigation of the SMOS L1C Multi-Angle Brightness Temperature Based on the Lookup Table. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Chen, Ke – PersonEntity: Name: NameFull: Wang, Ruile – PersonEntity: Name: NameFull: Yang, Qian – PersonEntity: Name: NameFull: Chen, Jiaming – PersonEntity: Name: NameFull: Gong, Jun IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 08 Text: Aug2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 20724292 Numbering: – Type: volume Value: 17 – Type: issue Value: 15 Titles: – TitleFull: Remote Sensing Type: main |
| ResultId | 1 |