Ice sheet height retrievals from Spire grazing angle GNSS-R
peer reviewed Global Navigation Satellite System-Reflectometry (GNSS-R) leverages signals of opportunity for remote sensing, such as for mapping sea surface topography. This study investigates Grazing angle observations of GNSS-R (GG-R) to systematically retrieve ice sheet surface height in Greenlan...
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Online Access: | https://orbilu.uni.lu/handle/10993/57208 https://doi.org/10.1016/j.rse.2023.113757 |
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ftunivluxembourg:oai:orbilu.uni.lu:10993/57208 2024-10-13T14:01:46+00:00 Ice sheet height retrievals from Spire grazing angle GNSS-R Buendía, Raquel N. TABIBI, Sajad Talpe, Matthieu Otosaka, Inès Geophysics and Remote Sensing (GRS) 2023-11 https://orbilu.uni.lu/handle/10993/57208 https://doi.org/10.1016/j.rse.2023.113757 en eng Elsevier https://www.sciencedirect.com/science/article/pii/S0034425723003085 FNR12252781 - Data-driven Computational Modelling And Applications, 2017 (01/09/2018-28/02/2025) - Andreas Zilian urn:issn:0034-4257 urn:issn:1879-0704 https://orbilu.uni.lu/handle/10993/57208 info:hdl:10993/57208 doi:10.1016/j.rse.2023.113757 restricted access http://purl.org/coar/access_right/c_16ec info:eu-repo/semantics/restrictedAccess Remote Sensing of Environment, 297, 113757 (2023-11) GNSS Reflectometry GNSS-R Grazing angle Carrier phase altimetry Ice sheet Land reflections Physical chemical mathematical & earth Sciences Earth sciences & physical geography Space science astronomy & astrophysics Engineering computing & technology Aerospace & aeronautics engineering Computer science Electrical & electronics engineering Physique chimie mathématiques & sciences de la terre Sciences de la terre & géographie physique Aérospatiale astronomie & astrophysique Ingénierie informatique & technologie Ingénierie aérospatiale Sciences informatiques Ingénierie électrique & électronique journal article http://purl.org/coar/resource_type/c_6501 info:eu-repo/semantics/article peer reviewed 2023 ftunivluxembourg https://doi.org/10.1016/j.rse.2023.113757 2024-09-27T07:04:13Z peer reviewed Global Navigation Satellite System-Reflectometry (GNSS-R) leverages signals of opportunity for remote sensing, such as for mapping sea surface topography. This study investigates Grazing angle observations of GNSS-R (GG-R) to systematically retrieve ice sheet surface height in Greenland and Antarctica using Spire Global, Inc. CubeSats. Over a nine-month period, approximately 7800 coherent segments have been processed over the polar regions to compute relative height of the ice sheet above the WGS84 reference ellipsoid under grazing angle geometries. The retrieval of surface height is based on using ionosphere-free phase measurements from both the direct and reflected signals. Digital Elevation Models (DEMs) were used for the relative height adjustment and the validation of the GG-R retrievals, which presented a root mean square error (RMSE) of ∼1.7 m for both regions. Furthermore, the collocated GG-R profiles manifest good agreement among each other and reveal systematic behavior in the height residuals that might be caused by the DEMs. The results presented in this study demonstrate the potential of dual-frequency GG-R for measuring ice sheet surface heights. 13. Climate action Article in Journal/Newspaper Antarc* Antarctica Greenland Ice Sheet University of Luxembourg: ORBilu - Open Repository and Bibliography Greenland Remote Sensing of Environment 297 113757 |
institution |
Open Polar |
collection |
University of Luxembourg: ORBilu - Open Repository and Bibliography |
op_collection_id |
ftunivluxembourg |
language |
English |
topic |
GNSS Reflectometry GNSS-R Grazing angle Carrier phase altimetry Ice sheet Land reflections Physical chemical mathematical & earth Sciences Earth sciences & physical geography Space science astronomy & astrophysics Engineering computing & technology Aerospace & aeronautics engineering Computer science Electrical & electronics engineering Physique chimie mathématiques & sciences de la terre Sciences de la terre & géographie physique Aérospatiale astronomie & astrophysique Ingénierie informatique & technologie Ingénierie aérospatiale Sciences informatiques Ingénierie électrique & électronique |
spellingShingle |
GNSS Reflectometry GNSS-R Grazing angle Carrier phase altimetry Ice sheet Land reflections Physical chemical mathematical & earth Sciences Earth sciences & physical geography Space science astronomy & astrophysics Engineering computing & technology Aerospace & aeronautics engineering Computer science Electrical & electronics engineering Physique chimie mathématiques & sciences de la terre Sciences de la terre & géographie physique Aérospatiale astronomie & astrophysique Ingénierie informatique & technologie Ingénierie aérospatiale Sciences informatiques Ingénierie électrique & électronique Buendía, Raquel N. TABIBI, Sajad Talpe, Matthieu Otosaka, Inès Ice sheet height retrievals from Spire grazing angle GNSS-R |
topic_facet |
GNSS Reflectometry GNSS-R Grazing angle Carrier phase altimetry Ice sheet Land reflections Physical chemical mathematical & earth Sciences Earth sciences & physical geography Space science astronomy & astrophysics Engineering computing & technology Aerospace & aeronautics engineering Computer science Electrical & electronics engineering Physique chimie mathématiques & sciences de la terre Sciences de la terre & géographie physique Aérospatiale astronomie & astrophysique Ingénierie informatique & technologie Ingénierie aérospatiale Sciences informatiques Ingénierie électrique & électronique |
description |
peer reviewed Global Navigation Satellite System-Reflectometry (GNSS-R) leverages signals of opportunity for remote sensing, such as for mapping sea surface topography. This study investigates Grazing angle observations of GNSS-R (GG-R) to systematically retrieve ice sheet surface height in Greenland and Antarctica using Spire Global, Inc. CubeSats. Over a nine-month period, approximately 7800 coherent segments have been processed over the polar regions to compute relative height of the ice sheet above the WGS84 reference ellipsoid under grazing angle geometries. The retrieval of surface height is based on using ionosphere-free phase measurements from both the direct and reflected signals. Digital Elevation Models (DEMs) were used for the relative height adjustment and the validation of the GG-R retrievals, which presented a root mean square error (RMSE) of ∼1.7 m for both regions. Furthermore, the collocated GG-R profiles manifest good agreement among each other and reveal systematic behavior in the height residuals that might be caused by the DEMs. The results presented in this study demonstrate the potential of dual-frequency GG-R for measuring ice sheet surface heights. 13. Climate action |
author2 |
Geophysics and Remote Sensing (GRS) |
format |
Article in Journal/Newspaper |
author |
Buendía, Raquel N. TABIBI, Sajad Talpe, Matthieu Otosaka, Inès |
author_facet |
Buendía, Raquel N. TABIBI, Sajad Talpe, Matthieu Otosaka, Inès |
author_sort |
Buendía, Raquel N. |
title |
Ice sheet height retrievals from Spire grazing angle GNSS-R |
title_short |
Ice sheet height retrievals from Spire grazing angle GNSS-R |
title_full |
Ice sheet height retrievals from Spire grazing angle GNSS-R |
title_fullStr |
Ice sheet height retrievals from Spire grazing angle GNSS-R |
title_full_unstemmed |
Ice sheet height retrievals from Spire grazing angle GNSS-R |
title_sort |
ice sheet height retrievals from spire grazing angle gnss-r |
publisher |
Elsevier |
publishDate |
2023 |
url |
https://orbilu.uni.lu/handle/10993/57208 https://doi.org/10.1016/j.rse.2023.113757 |
geographic |
Greenland |
geographic_facet |
Greenland |
genre |
Antarc* Antarctica Greenland Ice Sheet |
genre_facet |
Antarc* Antarctica Greenland Ice Sheet |
op_source |
Remote Sensing of Environment, 297, 113757 (2023-11) |
op_relation |
https://www.sciencedirect.com/science/article/pii/S0034425723003085 FNR12252781 - Data-driven Computational Modelling And Applications, 2017 (01/09/2018-28/02/2025) - Andreas Zilian urn:issn:0034-4257 urn:issn:1879-0704 https://orbilu.uni.lu/handle/10993/57208 info:hdl:10993/57208 doi:10.1016/j.rse.2023.113757 |
op_rights |
restricted access http://purl.org/coar/access_right/c_16ec info:eu-repo/semantics/restrictedAccess |
op_doi |
https://doi.org/10.1016/j.rse.2023.113757 |
container_title |
Remote Sensing of Environment |
container_volume |
297 |
container_start_page |
113757 |
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1812812733890953216 |