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Independent Digital Elevation Model of Greenland from GNSS-R data from TechDemoSat-1

Independent Digital Elevation Model of Greenland from GNSS-R data from TechDemoSat-1
Independent Digital Elevation Model of Greenland from GNSS-R data from TechDemoSat-1
SGR-ReSI, TechDemoSat-1,Improved Digital Elevation Model (DEM) of the Greenland Ice Sheet derived from Global Navigation Satellite Systems-Reflectometry (GNSS-R). This builds on a previous study (Cartwright et al., 2018) using GNSS-R to derive an Antarctic DEM but uses improved processing and an additional 13 months of measurements. A median bias of under 10 m and root-mean-square (RMS) errors of under 166 m are obtained, as compared to existing DEMs. Funding was provided by NERC grant NE/L002531/1.,Gridded group delay altimetry from TechDemoSat-1's GNSS-R data collected between September 2014 and December 2018. For full details see Cartwright et al., 2020.,A median bias of under 10 m and root-mean-square (RMS) errors of under 166 m are obtained, as compared to existing DEMs.
Natural Environment Research Council
Cartwright, Jessica
8a249815-a421-41ad-b13a-eb48c97ee95d
Cartwright, Jessica
8a249815-a421-41ad-b13a-eb48c97ee95d

(2020) Independent Digital Elevation Model of Greenland from GNSS-R data from TechDemoSat-1. Natural Environment Research Council doi:10.5285/783515b1-ac01-4615-a24c-629fe37a63a2 [Dataset]

Record type: Dataset

Abstract

SGR-ReSI, TechDemoSat-1,Improved Digital Elevation Model (DEM) of the Greenland Ice Sheet derived from Global Navigation Satellite Systems-Reflectometry (GNSS-R). This builds on a previous study (Cartwright et al., 2018) using GNSS-R to derive an Antarctic DEM but uses improved processing and an additional 13 months of measurements. A median bias of under 10 m and root-mean-square (RMS) errors of under 166 m are obtained, as compared to existing DEMs. Funding was provided by NERC grant NE/L002531/1.,Gridded group delay altimetry from TechDemoSat-1's GNSS-R data collected between September 2014 and December 2018. For full details see Cartwright et al., 2020.,A median bias of under 10 m and root-mean-square (RMS) errors of under 166 m are obtained, as compared to existing DEMs.

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More information

Published date: 1 May 2020

Identifiers

Local EPrints ID: 448828
URI: http://eprints.soton.ac.uk/id/eprint/448828
PURE UUID: 15f848eb-1370-443c-841c-62f1e688911b

Catalogue record

Date deposited: 06 May 2021 16:32
Last modified: 09 Aug 2023 17:09

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Contributors

Contributor: Jessica Cartwright

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