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] |
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| Database: | Engineering Source |
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| 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] |
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| ISSN: | 20724292 |
| DOI: | 10.3390/rs17152585 |
