Enhancing SMOS brightness temperatures over the ocean using the nodal sampling image reconstruction technique

Special issue ESA's Soil Moisture and Ocean Salinity Mission - Achievements and Applications.-- 16 pages, 18 figures, 2 tables Abrupt changes in the Soil Moisture and Ocean Salinity (SMOS) brightness temperatures, such as those produced by land/sea/ice transitions and Radio-Frequency Interferen...

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Published in:Remote Sensing of Environment
Main Authors: González Gambau, Verónica, Olmedo, Estrella, Turiel, Antonio, Martínez, Justino, Ballabrera-Poy, Joaquim, Portabella, Marcos, Piles, María
Other Authors: Ministerio de Economía y Competitividad (España), European Commission
Format: Article in Journal/Newspaper
Language:unknown
Published: Elsevier 2016
Subjects:
RFI
Online Access:http://hdl.handle.net/10261/135167
https://doi.org/10.1016/j.rse.2015.12.032
https://doi.org/10.13039/501100003329
https://doi.org/10.13039/501100000780
id ftcsic:oai:digital.csic.es:10261/135167
record_format openpolar
spelling ftcsic:oai:digital.csic.es:10261/135167 2024-02-11T10:08:33+01:00 Enhancing SMOS brightness temperatures over the ocean using the nodal sampling image reconstruction technique González Gambau, Verónica Olmedo, Estrella Turiel, Antonio Martínez, Justino Ballabrera-Poy, Joaquim Portabella, Marcos Piles, María Ministerio de Economía y Competitividad (España) European Commission 2016-07 http://hdl.handle.net/10261/135167 https://doi.org/10.1016/j.rse.2015.12.032 https://doi.org/10.13039/501100003329 https://doi.org/10.13039/501100000780 unknown Elsevier https://dx.doi.org/10.1016/j.rse.2015.12.032 Sí doi:10.1016/j.rse.2015.12.032 issn: 0034-4257 e-issn: 1879-0704 Remote Sensing of Environment 180: 205-220 (2016) http://hdl.handle.net/10261/135167 http://dx.doi.org/10.13039/501100003329 http://dx.doi.org/10.13039/501100000780 none Soil Moisture and Ocean Salinity SMOS Interferometry Radiometry Image reconstruction Nodal sampling Nodal points Sidelobes Radio frequency interferences Salinity retrievals RFI artículo http://purl.org/coar/resource_type/c_6501 2016 ftcsic https://doi.org/10.1016/j.rse.2015.12.03210.13039/50110000332910.13039/501100000780 2024-01-16T10:16:41Z Special issue ESA's Soil Moisture and Ocean Salinity Mission - Achievements and Applications.-- 16 pages, 18 figures, 2 tables Abrupt changes in the Soil Moisture and Ocean Salinity (SMOS) brightness temperatures, such as those produced by land/sea/ice transitions and Radio-Frequency Interference (RFI) sources, produce artificial rippling patterns (i.e. the so-called Gibbs-like contamination) that propagate through the SMOS-reconstructed image. A nodal sampling technique, focused on the reduction of this kind of contamination by sampling at the points where the perturbation cancels, was introduced by González-Gambau et al. (2015). In this work we show that the quality of nodal sampling can be largely improved by refining the determination of the nodal grid. In addition, we have carried out an extensive validation of the resulting data over the ocean. Nodal sampling reduces sidelobe levels and ripples in the reconstructed images leading to brightness temperatures in better agreement with the theoretically modeled ones. Validation of the salinity retrievals against close-to-surface Argo salinity observations shows that nodal sampling leads to improved salinity retrievals in open ocean, while close to the coast land–sea contamination seems to deteriorate the quality. Besides, spectral analysis shows that nodal sampled salinities become closer to what is geophysically expected without loss of effective spatial resolution This work has been funded by the Spanish Ministry of Economy through the National R + D Plan by means of MIDAS-7 project AYA2012-39356-C05-03 and previous grants. The validation part of this work has been done with the support of the FP7-SPACE E-AIMS project (grant agreement 312642) Peer Reviewed Article in Journal/Newspaper Sea ice Digital.CSIC (Spanish National Research Council) Remote Sensing of Environment 180 205 220
institution Open Polar
collection Digital.CSIC (Spanish National Research Council)
op_collection_id ftcsic
language unknown
topic Soil Moisture and Ocean Salinity
SMOS
Interferometry
Radiometry
Image reconstruction
Nodal sampling
Nodal points
Sidelobes
Radio frequency interferences
Salinity retrievals
RFI
spellingShingle Soil Moisture and Ocean Salinity
SMOS
Interferometry
Radiometry
Image reconstruction
Nodal sampling
Nodal points
Sidelobes
Radio frequency interferences
Salinity retrievals
RFI
González Gambau, Verónica
Olmedo, Estrella
Turiel, Antonio
Martínez, Justino
Ballabrera-Poy, Joaquim
Portabella, Marcos
Piles, María
Enhancing SMOS brightness temperatures over the ocean using the nodal sampling image reconstruction technique
topic_facet Soil Moisture and Ocean Salinity
SMOS
Interferometry
Radiometry
Image reconstruction
Nodal sampling
Nodal points
Sidelobes
Radio frequency interferences
Salinity retrievals
RFI
description Special issue ESA's Soil Moisture and Ocean Salinity Mission - Achievements and Applications.-- 16 pages, 18 figures, 2 tables Abrupt changes in the Soil Moisture and Ocean Salinity (SMOS) brightness temperatures, such as those produced by land/sea/ice transitions and Radio-Frequency Interference (RFI) sources, produce artificial rippling patterns (i.e. the so-called Gibbs-like contamination) that propagate through the SMOS-reconstructed image. A nodal sampling technique, focused on the reduction of this kind of contamination by sampling at the points where the perturbation cancels, was introduced by González-Gambau et al. (2015). In this work we show that the quality of nodal sampling can be largely improved by refining the determination of the nodal grid. In addition, we have carried out an extensive validation of the resulting data over the ocean. Nodal sampling reduces sidelobe levels and ripples in the reconstructed images leading to brightness temperatures in better agreement with the theoretically modeled ones. Validation of the salinity retrievals against close-to-surface Argo salinity observations shows that nodal sampling leads to improved salinity retrievals in open ocean, while close to the coast land–sea contamination seems to deteriorate the quality. Besides, spectral analysis shows that nodal sampled salinities become closer to what is geophysically expected without loss of effective spatial resolution This work has been funded by the Spanish Ministry of Economy through the National R + D Plan by means of MIDAS-7 project AYA2012-39356-C05-03 and previous grants. The validation part of this work has been done with the support of the FP7-SPACE E-AIMS project (grant agreement 312642) Peer Reviewed
author2 Ministerio de Economía y Competitividad (España)
European Commission
format Article in Journal/Newspaper
author González Gambau, Verónica
Olmedo, Estrella
Turiel, Antonio
Martínez, Justino
Ballabrera-Poy, Joaquim
Portabella, Marcos
Piles, María
author_facet González Gambau, Verónica
Olmedo, Estrella
Turiel, Antonio
Martínez, Justino
Ballabrera-Poy, Joaquim
Portabella, Marcos
Piles, María
author_sort González Gambau, Verónica
title Enhancing SMOS brightness temperatures over the ocean using the nodal sampling image reconstruction technique
title_short Enhancing SMOS brightness temperatures over the ocean using the nodal sampling image reconstruction technique
title_full Enhancing SMOS brightness temperatures over the ocean using the nodal sampling image reconstruction technique
title_fullStr Enhancing SMOS brightness temperatures over the ocean using the nodal sampling image reconstruction technique
title_full_unstemmed Enhancing SMOS brightness temperatures over the ocean using the nodal sampling image reconstruction technique
title_sort enhancing smos brightness temperatures over the ocean using the nodal sampling image reconstruction technique
publisher Elsevier
publishDate 2016
url http://hdl.handle.net/10261/135167
https://doi.org/10.1016/j.rse.2015.12.032
https://doi.org/10.13039/501100003329
https://doi.org/10.13039/501100000780
genre Sea ice
genre_facet Sea ice
op_relation https://dx.doi.org/10.1016/j.rse.2015.12.032

doi:10.1016/j.rse.2015.12.032
issn: 0034-4257
e-issn: 1879-0704
Remote Sensing of Environment 180: 205-220 (2016)
http://hdl.handle.net/10261/135167
http://dx.doi.org/10.13039/501100003329
http://dx.doi.org/10.13039/501100000780
op_rights none
op_doi https://doi.org/10.1016/j.rse.2015.12.03210.13039/50110000332910.13039/501100000780
container_title Remote Sensing of Environment
container_volume 180
container_start_page 205
op_container_end_page 220
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