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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Published in:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Main Authors: Qingyun Yan, Weimin Huang
Format: Article in Journal/Newspaper
Language:English
Published: IEEE 2020
Subjects:
Online Access:https://doi.org/10.1109/JSTARS.2020.2966880
https://doaj.org/article/c87e7c824eec41e08abf19f32f30c323
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spelling 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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