Sea Ice Thickness Measurement Using Spaceborne GNSS-R: First Results With TechDemoSat-1 Data
In this article, an effective schematic is developed for estimating sea ice thickness (SIT) from the reflectivity (Γ) produced with TechDemoSat-1 (TDS-1) Global Navigation Satellite System-Reflectometry data. Here, Γ is formulated as the product of the propagation loss due to S...
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ftdoajarticles:oai:doaj.org/article:c87e7c824eec41e08abf19f32f30c323 2023-05-15T18:17:25+02:00 Sea Ice Thickness Measurement Using Spaceborne GNSS-R: First Results With TechDemoSat-1 Data Qingyun Yan Weimin Huang 2020-01-01T00:00:00Z https://doi.org/10.1109/JSTARS.2020.2966880 https://doaj.org/article/c87e7c824eec41e08abf19f32f30c323 EN eng IEEE https://ieeexplore.ieee.org/document/8966611/ https://doaj.org/toc/2151-1535 2151-1535 doi:10.1109/JSTARS.2020.2966880 https://doaj.org/article/c87e7c824eec41e08abf19f32f30c323 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 577-587 (2020) Global navigation satellite system-reflectometry (GNSS-R) sea ice thickness (SIT) soil moisture ocean salinity (SMOS) soil moisture active passive (SMAP) TechDemoSat-1 (TDS-1) Ocean engineering TC1501-1800 Geophysics. Cosmic physics QC801-809 article 2020 ftdoajarticles https://doi.org/10.1109/JSTARS.2020.2966880 2022-12-31T06:12:11Z In this article, an effective schematic is developed for estimating sea ice thickness (SIT) from the reflectivity (Γ) produced with TechDemoSat-1 (TDS-1) Global Navigation Satellite System-Reflectometry data. Here, Γ is formulated as the product of the propagation loss due to SIT and the reflection coefficient of underlying seawater. The effect of surface roughness on Γ is neglected when only considering signals of coherent reflection. In practice, Γ at the specular point is first generated using TDS-1 data. Afterwards, SIT is calculated from TDS-1 Γ based on the proposed reflectivity model, and verified with two sets of reference SIT data; one is obtained by the Soil Moisture Ocean Salinity (SMOS) satellite, and the other is the combined SMOS/Soil Moisture Active Passive (SMAP) measurements. This analysis is performed on the data with SIT less than 1m. Through comparison, good consistency between the derived TDS-1 SIT and the reference SIT is obtained, with a correlation coefficient (r) of 0.84 and a root-mean-square difference (RMSD) of 9.39 cm with SMOS, and an r of 0.67 and an RMSD of 9.49 cm with SMOS/SMAP, which demonstrates the applicability of the developed model and the utility of TDS-1 data for SIT estimation. In addition, this method is proved to be useful for improving existing sea ice detection accuracy. Article in Journal/Newspaper Sea ice Directory of Open Access Journals: DOAJ Articles IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 13 577 587 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Global navigation satellite system-reflectometry (GNSS-R) sea ice thickness (SIT) soil moisture ocean salinity (SMOS) soil moisture active passive (SMAP) TechDemoSat-1 (TDS-1) Ocean engineering TC1501-1800 Geophysics. Cosmic physics QC801-809 |
spellingShingle |
Global navigation satellite system-reflectometry (GNSS-R) sea ice thickness (SIT) soil moisture ocean salinity (SMOS) soil moisture active passive (SMAP) TechDemoSat-1 (TDS-1) Ocean engineering TC1501-1800 Geophysics. Cosmic physics QC801-809 Qingyun Yan Weimin Huang Sea Ice Thickness Measurement Using Spaceborne GNSS-R: First Results With TechDemoSat-1 Data |
topic_facet |
Global navigation satellite system-reflectometry (GNSS-R) sea ice thickness (SIT) soil moisture ocean salinity (SMOS) soil moisture active passive (SMAP) TechDemoSat-1 (TDS-1) Ocean engineering TC1501-1800 Geophysics. Cosmic physics QC801-809 |
description |
In this article, an effective schematic is developed for estimating sea ice thickness (SIT) from the reflectivity (Γ) produced with TechDemoSat-1 (TDS-1) Global Navigation Satellite System-Reflectometry data. Here, Γ is formulated as the product of the propagation loss due to SIT and the reflection coefficient of underlying seawater. The effect of surface roughness on Γ is neglected when only considering signals of coherent reflection. In practice, Γ at the specular point is first generated using TDS-1 data. Afterwards, SIT is calculated from TDS-1 Γ based on the proposed reflectivity model, and verified with two sets of reference SIT data; one is obtained by the Soil Moisture Ocean Salinity (SMOS) satellite, and the other is the combined SMOS/Soil Moisture Active Passive (SMAP) measurements. This analysis is performed on the data with SIT less than 1m. Through comparison, good consistency between the derived TDS-1 SIT and the reference SIT is obtained, with a correlation coefficient (r) of 0.84 and a root-mean-square difference (RMSD) of 9.39 cm with SMOS, and an r of 0.67 and an RMSD of 9.49 cm with SMOS/SMAP, which demonstrates the applicability of the developed model and the utility of TDS-1 data for SIT estimation. In addition, this method is proved to be useful for improving existing sea ice detection accuracy. |
format |
Article in Journal/Newspaper |
author |
Qingyun Yan Weimin Huang |
author_facet |
Qingyun Yan Weimin Huang |
author_sort |
Qingyun Yan |
title |
Sea Ice Thickness Measurement Using Spaceborne GNSS-R: First Results With TechDemoSat-1 Data |
title_short |
Sea Ice Thickness Measurement Using Spaceborne GNSS-R: First Results With TechDemoSat-1 Data |
title_full |
Sea Ice Thickness Measurement Using Spaceborne GNSS-R: First Results With TechDemoSat-1 Data |
title_fullStr |
Sea Ice Thickness Measurement Using Spaceborne GNSS-R: First Results With TechDemoSat-1 Data |
title_full_unstemmed |
Sea Ice Thickness Measurement Using Spaceborne GNSS-R: First Results With TechDemoSat-1 Data |
title_sort |
sea ice thickness measurement using spaceborne gnss-r: first results with techdemosat-1 data |
publisher |
IEEE |
publishDate |
2020 |
url |
https://doi.org/10.1109/JSTARS.2020.2966880 https://doaj.org/article/c87e7c824eec41e08abf19f32f30c323 |
genre |
Sea ice |
genre_facet |
Sea ice |
op_source |
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 577-587 (2020) |
op_relation |
https://ieeexplore.ieee.org/document/8966611/ https://doaj.org/toc/2151-1535 2151-1535 doi:10.1109/JSTARS.2020.2966880 https://doaj.org/article/c87e7c824eec41e08abf19f32f30c323 |
op_doi |
https://doi.org/10.1109/JSTARS.2020.2966880 |
container_title |
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
container_volume |
13 |
container_start_page |
577 |
op_container_end_page |
587 |
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1766191619490447360 |