Study of the Penetration Bias of ENVISAT Altimeter Observations over Antarctica in Comparison to ICESat Observations
The aim of this article is to characterize the penetration bias of the ENVIronmental SATellite (ENVISAT) radar altimeter over the Antarctic ice sheet through comparison with the more accurate measurements of the Ice, Cloud and land Elevation Satellite (ICESat) altimeter at crossover points. We studi...
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ftmdpi:oai:mdpi.com:/2072-4292/6/10/9412/ 2023-08-20T04:02:32+02:00 Study of the Penetration Bias of ENVISAT Altimeter Observations over Antarctica in Comparison to ICESat Observations Aurélie Michel Thomas Flament Frédérique Rémy agris 2014-09-29 application/pdf https://doi.org/10.3390/rs6109412 EN eng Multidisciplinary Digital Publishing Institute https://dx.doi.org/10.3390/rs6109412 https://creativecommons.org/licenses/by/4.0/ Remote Sensing; Volume 6; Issue 10; Pages: 9412-9434 radar altimetry laser altimetry ENVISAT ICESat AltiKa Antarctica ice sheet remote sensing Text 2014 ftmdpi https://doi.org/10.3390/rs6109412 2023-07-31T20:39:31Z The aim of this article is to characterize the penetration bias of the ENVIronmental SATellite (ENVISAT) radar altimeter over the Antarctic ice sheet through comparison with the more accurate measurements of the Ice, Cloud and land Elevation Satellite (ICESat) altimeter at crossover points. We studied the difference between ENVISAT and ICESat fluctuations over six years. We observed the same patterns between the leading edge width and the elevation difference. Both parameters are linked, and the major bias is due to the lengthening of the leading edge width due to the radar penetration. We show that the elevation difference between both altimeters and the leading edge width are linearly well-linked with a 0.8 Pearson correlation coefficient, whereas the slope effect over the coasts is difficult to analyze. When we analyze each crossover point temporal evolution locally, the linear correlation between the leading edge width and the elevation difference is between −0.6 and −1. Fitting a linear model between them, we find a reliability index greater than 0.7 for the Antarctic Plateau and Dronning Maud Land, which confirms that the penetration effect has a linear influence on the retrieved height. Moreover, we present results from SARAL/AltiKa (launched in February 2013) that confirm SARAL/AltiKa accuracy and the promising information it will provide. Text Antarc* Antarctic Antarctica Dronning Maud Land Ice Sheet MDPI Open Access Publishing Antarctic Dronning Maud Land The Antarctic Remote Sensing 6 10 9412 9434 |
institution |
Open Polar |
collection |
MDPI Open Access Publishing |
op_collection_id |
ftmdpi |
language |
English |
topic |
radar altimetry laser altimetry ENVISAT ICESat AltiKa Antarctica ice sheet remote sensing |
spellingShingle |
radar altimetry laser altimetry ENVISAT ICESat AltiKa Antarctica ice sheet remote sensing Aurélie Michel Thomas Flament Frédérique Rémy Study of the Penetration Bias of ENVISAT Altimeter Observations over Antarctica in Comparison to ICESat Observations |
topic_facet |
radar altimetry laser altimetry ENVISAT ICESat AltiKa Antarctica ice sheet remote sensing |
description |
The aim of this article is to characterize the penetration bias of the ENVIronmental SATellite (ENVISAT) radar altimeter over the Antarctic ice sheet through comparison with the more accurate measurements of the Ice, Cloud and land Elevation Satellite (ICESat) altimeter at crossover points. We studied the difference between ENVISAT and ICESat fluctuations over six years. We observed the same patterns between the leading edge width and the elevation difference. Both parameters are linked, and the major bias is due to the lengthening of the leading edge width due to the radar penetration. We show that the elevation difference between both altimeters and the leading edge width are linearly well-linked with a 0.8 Pearson correlation coefficient, whereas the slope effect over the coasts is difficult to analyze. When we analyze each crossover point temporal evolution locally, the linear correlation between the leading edge width and the elevation difference is between −0.6 and −1. Fitting a linear model between them, we find a reliability index greater than 0.7 for the Antarctic Plateau and Dronning Maud Land, which confirms that the penetration effect has a linear influence on the retrieved height. Moreover, we present results from SARAL/AltiKa (launched in February 2013) that confirm SARAL/AltiKa accuracy and the promising information it will provide. |
format |
Text |
author |
Aurélie Michel Thomas Flament Frédérique Rémy |
author_facet |
Aurélie Michel Thomas Flament Frédérique Rémy |
author_sort |
Aurélie Michel |
title |
Study of the Penetration Bias of ENVISAT Altimeter Observations over Antarctica in Comparison to ICESat Observations |
title_short |
Study of the Penetration Bias of ENVISAT Altimeter Observations over Antarctica in Comparison to ICESat Observations |
title_full |
Study of the Penetration Bias of ENVISAT Altimeter Observations over Antarctica in Comparison to ICESat Observations |
title_fullStr |
Study of the Penetration Bias of ENVISAT Altimeter Observations over Antarctica in Comparison to ICESat Observations |
title_full_unstemmed |
Study of the Penetration Bias of ENVISAT Altimeter Observations over Antarctica in Comparison to ICESat Observations |
title_sort |
study of the penetration bias of envisat altimeter observations over antarctica in comparison to icesat observations |
publisher |
Multidisciplinary Digital Publishing Institute |
publishDate |
2014 |
url |
https://doi.org/10.3390/rs6109412 |
op_coverage |
agris |
geographic |
Antarctic Dronning Maud Land The Antarctic |
geographic_facet |
Antarctic Dronning Maud Land The Antarctic |
genre |
Antarc* Antarctic Antarctica Dronning Maud Land Ice Sheet |
genre_facet |
Antarc* Antarctic Antarctica Dronning Maud Land Ice Sheet |
op_source |
Remote Sensing; Volume 6; Issue 10; Pages: 9412-9434 |
op_relation |
https://dx.doi.org/10.3390/rs6109412 |
op_rights |
https://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.3390/rs6109412 |
container_title |
Remote Sensing |
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6 |
container_issue |
10 |
container_start_page |
9412 |
op_container_end_page |
9434 |
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1774713032373436416 |