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An RFI-suppressed SMOS L-band multi-angular brightness temperature dataset spanning over a decade (since 2010)

The Soil Moisture Ocean Salinity (SMOS) was the first mission providing L-band multi-angular brightness temperature (TB) at the global scale. However, radio frequency interferences (RFI) and aliasing effects degrade, when present SMOS TBs, and thus affect the retrieval of land parameters. To allevia...

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Autores principales: Peng, Zhiqing, Zhao, Tianjie, Shi, Jiancheng, Kerr, Yann H., Rodríguez-Fernández, Nemesio J., Yao, Panpan, Che, Tao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10491810/
https://www.ncbi.nlm.nih.gov/pubmed/37684228
http://dx.doi.org/10.1038/s41597-023-02499-z
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author Peng, Zhiqing
Zhao, Tianjie
Shi, Jiancheng
Kerr, Yann H.
Rodríguez-Fernández, Nemesio J.
Yao, Panpan
Che, Tao
author_facet Peng, Zhiqing
Zhao, Tianjie
Shi, Jiancheng
Kerr, Yann H.
Rodríguez-Fernández, Nemesio J.
Yao, Panpan
Che, Tao
author_sort Peng, Zhiqing
collection PubMed
description The Soil Moisture Ocean Salinity (SMOS) was the first mission providing L-band multi-angular brightness temperature (TB) at the global scale. However, radio frequency interferences (RFI) and aliasing effects degrade, when present SMOS TBs, and thus affect the retrieval of land parameters. To alleviate this, a refined SMOS multi-angular TB dataset was generated based on a two-step regression approach. This approach smooths the TBs and reconstructs data at the incidence angle with large TB uncertainties. Compared with Centre Aval de Traitement des Données SMOS (CATDS) TB product, this dataset shows a better relationship with the Soil Moisture Active Passive (SMAP) TB and enhanced correlation with in-situ measured soil moisture. This RFI-suppressed SMOS TB dataset, spanning more than a decade (since 2010), is expected to provide opportunities for better retrieval of land parameters and scientific applications.
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spelling pubmed-104918102023-09-10 An RFI-suppressed SMOS L-band multi-angular brightness temperature dataset spanning over a decade (since 2010) Peng, Zhiqing Zhao, Tianjie Shi, Jiancheng Kerr, Yann H. Rodríguez-Fernández, Nemesio J. Yao, Panpan Che, Tao Sci Data Data Descriptor The Soil Moisture Ocean Salinity (SMOS) was the first mission providing L-band multi-angular brightness temperature (TB) at the global scale. However, radio frequency interferences (RFI) and aliasing effects degrade, when present SMOS TBs, and thus affect the retrieval of land parameters. To alleviate this, a refined SMOS multi-angular TB dataset was generated based on a two-step regression approach. This approach smooths the TBs and reconstructs data at the incidence angle with large TB uncertainties. Compared with Centre Aval de Traitement des Données SMOS (CATDS) TB product, this dataset shows a better relationship with the Soil Moisture Active Passive (SMAP) TB and enhanced correlation with in-situ measured soil moisture. This RFI-suppressed SMOS TB dataset, spanning more than a decade (since 2010), is expected to provide opportunities for better retrieval of land parameters and scientific applications. Nature Publishing Group UK 2023-09-08 /pmc/articles/PMC10491810/ /pubmed/37684228 http://dx.doi.org/10.1038/s41597-023-02499-z Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Data Descriptor
Peng, Zhiqing
Zhao, Tianjie
Shi, Jiancheng
Kerr, Yann H.
Rodríguez-Fernández, Nemesio J.
Yao, Panpan
Che, Tao
An RFI-suppressed SMOS L-band multi-angular brightness temperature dataset spanning over a decade (since 2010)
title An RFI-suppressed SMOS L-band multi-angular brightness temperature dataset spanning over a decade (since 2010)
title_full An RFI-suppressed SMOS L-band multi-angular brightness temperature dataset spanning over a decade (since 2010)
title_fullStr An RFI-suppressed SMOS L-band multi-angular brightness temperature dataset spanning over a decade (since 2010)
title_full_unstemmed An RFI-suppressed SMOS L-band multi-angular brightness temperature dataset spanning over a decade (since 2010)
title_short An RFI-suppressed SMOS L-band multi-angular brightness temperature dataset spanning over a decade (since 2010)
title_sort rfi-suppressed smos l-band multi-angular brightness temperature dataset spanning over a decade (since 2010)
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10491810/
https://www.ncbi.nlm.nih.gov/pubmed/37684228
http://dx.doi.org/10.1038/s41597-023-02499-z
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