Validation of SMOS, SMAP, and ESA CCI Soil Moisture Over a Humid Region

With recent advances in satellite microwave soil moisture estimation, there is a demand for up-to-date validation of satellite soil moisture products. This article presents a sparse network validation over a humid region within the Laurentian Great Lakes basin for five state-of-the-art satellite soi...

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Autores principales: Xiaoyong Xu, Steven Frey
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Publicado: IEEE 2021
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spelling oai:doaj.org-article:042f0e2d7e9e441bb6b4802ac688e5342021-11-09T00:00:19ZValidation of SMOS, SMAP, and ESA CCI Soil Moisture Over a Humid Region2151-153510.1109/JSTARS.2021.3122068https://doaj.org/article/042f0e2d7e9e441bb6b4802ac688e5342021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9583898/https://doaj.org/toc/2151-1535With recent advances in satellite microwave soil moisture estimation, there is a demand for up-to-date validation of satellite soil moisture products. This article presents a sparse network validation over a humid region within the Laurentian Great Lakes basin for five state-of-the-art satellite soil moisture datasets, including the Soil Moisture and Ocean Salinity (SMOS) Level 2 Soil Moisture User Data Product (MIR_SMUDP2) V650, the Soil Moisture Active Passive (SMAP) Enhanced Level 3 Radiometer Soil Moisture (SPL3SMP_E) Version 4, and the European Space Agency Climate Change Initiative (CCI) Soil Moisture v05.2 (containing the Active, Passive, and Combined sets). Unsurprisingly, the five sets of soil moisture products performed differently. With respect to the unbiased root-mean-squared error (ubRMSE), the CCI Combined product performed best (an average ubRMSE of about 0.04 m<sup>3</sup> m<sup>&#x2212;3</sup>), whereas the CCI Passive had the lowest performance with an average ubRMSE exceeding 0.10 m<sup>3</sup> m<sup>&#x2212;3</sup>. Overall, in terms of correlation measure, the SMAP and CCI Combined performed better than other products, with the lowest skill from the SMOS product. The SMAP product performed best in the context of the soil moisture anomaly detection, whereas the SMOS and CCI Passive showed the lowest anomaly correlation with the <italic>in situ</italic> observations. The validation results provide an important guidance for hydrological and meteorological applications involving satellite soil moisture datasets in the study region or other similar areas.Xiaoyong XuSteven FreyIEEEarticleEuropean Space Agency (ESA) Climate Change Initiative (CCI)satellitesoil moistureSoil Moisture Active Passive (SMAP)Soil Moisture and Ocean Salinity (SMOS)Ocean engineeringTC1501-1800Geophysics. Cosmic physicsQC801-809ENIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 10784-10793 (2021)
institution DOAJ
collection DOAJ
language EN
topic European Space Agency (ESA) Climate Change Initiative (CCI)
satellite
soil moisture
Soil Moisture Active Passive (SMAP)
Soil Moisture and Ocean Salinity (SMOS)
Ocean engineering
TC1501-1800
Geophysics. Cosmic physics
QC801-809
spellingShingle European Space Agency (ESA) Climate Change Initiative (CCI)
satellite
soil moisture
Soil Moisture Active Passive (SMAP)
Soil Moisture and Ocean Salinity (SMOS)
Ocean engineering
TC1501-1800
Geophysics. Cosmic physics
QC801-809
Xiaoyong Xu
Steven Frey
Validation of SMOS, SMAP, and ESA CCI Soil Moisture Over a Humid Region
description With recent advances in satellite microwave soil moisture estimation, there is a demand for up-to-date validation of satellite soil moisture products. This article presents a sparse network validation over a humid region within the Laurentian Great Lakes basin for five state-of-the-art satellite soil moisture datasets, including the Soil Moisture and Ocean Salinity (SMOS) Level 2 Soil Moisture User Data Product (MIR_SMUDP2) V650, the Soil Moisture Active Passive (SMAP) Enhanced Level 3 Radiometer Soil Moisture (SPL3SMP_E) Version 4, and the European Space Agency Climate Change Initiative (CCI) Soil Moisture v05.2 (containing the Active, Passive, and Combined sets). Unsurprisingly, the five sets of soil moisture products performed differently. With respect to the unbiased root-mean-squared error (ubRMSE), the CCI Combined product performed best (an average ubRMSE of about 0.04 m<sup>3</sup> m<sup>&#x2212;3</sup>), whereas the CCI Passive had the lowest performance with an average ubRMSE exceeding 0.10 m<sup>3</sup> m<sup>&#x2212;3</sup>. Overall, in terms of correlation measure, the SMAP and CCI Combined performed better than other products, with the lowest skill from the SMOS product. The SMAP product performed best in the context of the soil moisture anomaly detection, whereas the SMOS and CCI Passive showed the lowest anomaly correlation with the <italic>in situ</italic> observations. The validation results provide an important guidance for hydrological and meteorological applications involving satellite soil moisture datasets in the study region or other similar areas.
format article
author Xiaoyong Xu
Steven Frey
author_facet Xiaoyong Xu
Steven Frey
author_sort Xiaoyong Xu
title Validation of SMOS, SMAP, and ESA CCI Soil Moisture Over a Humid Region
title_short Validation of SMOS, SMAP, and ESA CCI Soil Moisture Over a Humid Region
title_full Validation of SMOS, SMAP, and ESA CCI Soil Moisture Over a Humid Region
title_fullStr Validation of SMOS, SMAP, and ESA CCI Soil Moisture Over a Humid Region
title_full_unstemmed Validation of SMOS, SMAP, and ESA CCI Soil Moisture Over a Humid Region
title_sort validation of smos, smap, and esa cci soil moisture over a humid region
publisher IEEE
publishDate 2021
url https://doaj.org/article/042f0e2d7e9e441bb6b4802ac688e534
work_keys_str_mv AT xiaoyongxu validationofsmossmapandesaccisoilmoistureoverahumidregion
AT stevenfrey validationofsmossmapandesaccisoilmoistureoverahumidregion
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