Validation of Surface Elevation from TanDEM-X Digital Elevation Models of Devon Island Ice Cap, Canadian High Arctic
Digital elevation models (DEMs) generated by the TanDEM-X mission from synthetic aperture radar interferometry (InSAR) provide an excellent potential resource to study the geodetic mass balance of glaciers. However, they typically suffer from a negative bias in surface elevations on glacierized terr...
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Université d'Ottawa / University of Ottawa
2019
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Online Access: | http://hdl.handle.net/10393/39863 https://doi.org/10.20381/ruor-24102 |
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ftunivottawa:oai:ruor.uottawa.ca:10393/39863 2023-05-15T14:50:51+02:00 Validation of Surface Elevation from TanDEM-X Digital Elevation Models of Devon Island Ice Cap, Canadian High Arctic Bernard-Grand'Maison, Claire Copland, Luke Burgess, David 2019-11-21 application/pdf http://hdl.handle.net/10393/39863 https://doi.org/10.20381/ruor-24102 en eng Université d'Ottawa / University of Ottawa http://hdl.handle.net/10393/39863 http://dx.doi.org/10.20381/ruor-24102 Devon Island Ice Cap Glaciology TanDEM-X Digital Elevation Model Canadian Arctic Glacier Mass Balance Thesis 2019 ftunivottawa https://doi.org/10.20381/ruor-24102 2021-01-04T18:32:45Z Digital elevation models (DEMs) generated by the TanDEM-X mission from synthetic aperture radar interferometry (InSAR) provide an excellent potential resource to study the geodetic mass balance of glaciers. However, they typically suffer from a negative bias in surface elevations on glacierized terrain due to penetration of radar waves into the snowpack and firn. In this thesis, TanDEM-X DEMs from 2010 to 2018 over Devon Island Ice Cap (DIC), Canadian High Arctic, are validated using independent surface elevation datasets from ArcticDEM, IceBridge laser altimetry and ground GPS transects. In agreement with previous studies using TanDEM-X DEMs, the bias is most significant in the percolation and saturation zones (i.e., accumulation area), where volume scattering and loss of interferometric coherence is greatest compared to the bare ice zone. The average elevation bias on DIC is -2.74 ±0.25 m, which should be accounted for in error budgets for geodetic mass balance estimates to be reliable. Thesis Arctic Devon Island Ice cap uO Research (University of Ottawa - uOttawa) Arctic Devon Island ENVELOPE(-88.000,-88.000,75.252,75.252) |
institution |
Open Polar |
collection |
uO Research (University of Ottawa - uOttawa) |
op_collection_id |
ftunivottawa |
language |
English |
topic |
Devon Island Ice Cap Glaciology TanDEM-X Digital Elevation Model Canadian Arctic Glacier Mass Balance |
spellingShingle |
Devon Island Ice Cap Glaciology TanDEM-X Digital Elevation Model Canadian Arctic Glacier Mass Balance Bernard-Grand'Maison, Claire Validation of Surface Elevation from TanDEM-X Digital Elevation Models of Devon Island Ice Cap, Canadian High Arctic |
topic_facet |
Devon Island Ice Cap Glaciology TanDEM-X Digital Elevation Model Canadian Arctic Glacier Mass Balance |
description |
Digital elevation models (DEMs) generated by the TanDEM-X mission from synthetic aperture radar interferometry (InSAR) provide an excellent potential resource to study the geodetic mass balance of glaciers. However, they typically suffer from a negative bias in surface elevations on glacierized terrain due to penetration of radar waves into the snowpack and firn. In this thesis, TanDEM-X DEMs from 2010 to 2018 over Devon Island Ice Cap (DIC), Canadian High Arctic, are validated using independent surface elevation datasets from ArcticDEM, IceBridge laser altimetry and ground GPS transects. In agreement with previous studies using TanDEM-X DEMs, the bias is most significant in the percolation and saturation zones (i.e., accumulation area), where volume scattering and loss of interferometric coherence is greatest compared to the bare ice zone. The average elevation bias on DIC is -2.74 ±0.25 m, which should be accounted for in error budgets for geodetic mass balance estimates to be reliable. |
author2 |
Copland, Luke Burgess, David |
format |
Thesis |
author |
Bernard-Grand'Maison, Claire |
author_facet |
Bernard-Grand'Maison, Claire |
author_sort |
Bernard-Grand'Maison, Claire |
title |
Validation of Surface Elevation from TanDEM-X Digital Elevation Models of Devon Island Ice Cap, Canadian High Arctic |
title_short |
Validation of Surface Elevation from TanDEM-X Digital Elevation Models of Devon Island Ice Cap, Canadian High Arctic |
title_full |
Validation of Surface Elevation from TanDEM-X Digital Elevation Models of Devon Island Ice Cap, Canadian High Arctic |
title_fullStr |
Validation of Surface Elevation from TanDEM-X Digital Elevation Models of Devon Island Ice Cap, Canadian High Arctic |
title_full_unstemmed |
Validation of Surface Elevation from TanDEM-X Digital Elevation Models of Devon Island Ice Cap, Canadian High Arctic |
title_sort |
validation of surface elevation from tandem-x digital elevation models of devon island ice cap, canadian high arctic |
publisher |
Université d'Ottawa / University of Ottawa |
publishDate |
2019 |
url |
http://hdl.handle.net/10393/39863 https://doi.org/10.20381/ruor-24102 |
long_lat |
ENVELOPE(-88.000,-88.000,75.252,75.252) |
geographic |
Arctic Devon Island |
geographic_facet |
Arctic Devon Island |
genre |
Arctic Devon Island Ice cap |
genre_facet |
Arctic Devon Island Ice cap |
op_relation |
http://hdl.handle.net/10393/39863 http://dx.doi.org/10.20381/ruor-24102 |
op_doi |
https://doi.org/10.20381/ruor-24102 |
_version_ |
1766321924478074880 |