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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Published in:Remote Sensing
Main Authors: Aurélie Michel, Thomas Flament, Frédérique Rémy
Format: Text
Language:English
Published: Multidisciplinary Digital Publishing Institute 2014
Subjects:
Online Access:https://doi.org/10.3390/rs6109412
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spelling 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
container_volume 6
container_issue 10
container_start_page 9412
op_container_end_page 9434
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