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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Bibliographic Details
Published in:Remote Sensing of Environment
Main Authors: Buendía, Raquel N., TABIBI, Sajad, Talpe, Matthieu, Otosaka, Inès
Other Authors: Geophysics and Remote Sensing (GRS)
Format: Article in Journal/Newspaper
Language:English
Published: Elsevier 2023
Subjects:
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
Antarc*
Antarctica
Greenland
Ice Sheet
Online Access:https://orbilu.uni.lu/handle/10993/57208
https://doi.org/10.1016/j.rse.2023.113757
Description
Summary: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

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