A Method for Automatic Three-Dimensional Reconstruction of Ice Sheets by Using Radar Sounder and Altimeter Data
Understanding the processes occurring at the ice sheets requires reliable three-dimensional (3-D) models of the ice sheet geometry. To address this challenge, we propose a technique for the 3-D reconstruction of the ice sheet geometry that uses radar sounder (RS) and altimeter (ALT) data to automati...
Published in: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
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Online Access: | http://hdl.handle.net/11572/218216 https://doi.org/10.1109/JSTARS.2017.2787199 https://ieeexplore.ieee.org/abstract/document/8275482 |
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ftutrentoiris:oai:iris.unitn.it:11572/218216 2024-02-11T09:56:04+01:00 A Method for Automatic Three-Dimensional Reconstruction of Ice Sheets by Using Radar Sounder and Altimeter Data Ilisei, Ana-Maria Bruzzone, Lorenzo Ilisei, Ana-Maria Bruzzone, Lorenzo 2018 STAMPA http://hdl.handle.net/11572/218216 https://doi.org/10.1109/JSTARS.2017.2787199 https://ieeexplore.ieee.org/abstract/document/8275482 eng eng country:USA info:eu-repo/semantics/altIdentifier/wos/WOS:000425661700007 volume:2018, 11 issue:2 firstpage:401 lastpage:415 numberofpages:15 journal:IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING http://hdl.handle.net/11572/218216 doi:10.1109/JSTARS.2017.2787199 info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85041403202 https://ieeexplore.ieee.org/abstract/document/8275482 info:eu-repo/semantics/closedAccess altimeter ice sheet radar sounder remote sensing Three-dimensional (3-D) reconstruction Computers in Earth Science Atmospheric Science info:eu-repo/semantics/article 2018 ftutrentoiris https://doi.org/10.1109/JSTARS.2017.2787199 2024-01-16T23:11:04Z Understanding the processes occurring at the ice sheets requires reliable three-dimensional (3-D) models of the ice sheet geometry. To address this challenge, we propose a technique for the 3-D reconstruction of the ice sheet geometry that uses radar sounder (RS) and altimeter (ALT) data to automatically identify the scale (or grid size) for interpolation. Existing studies derive the interpolation scale empirically, by qualitatively analyzing the RS data sampling and often neglecting the surface topography effects. Our method initially performs the interpolation of RS data at several potential scales. At each scale, it uses the ordinary kriging interpolation method that enables the quantitative analysis of both the RS data sampling and the surface topography. The optimal scale for the estimation of the surface map is identified according to an objective criterion that minimizes the difference to a subset of reference ALT data. Thereafter, the identified optimum scale on the surface is used to estimate the bedrock and ice thickness maps. Thus, the technique is a best-effort approach to the reconstruction of the ice sheet geometry, given the reference surface data and in the absence of reference bedrock data. Results obtained by applying the method to RS and ALT data acquired over the Byrd Glacier in Antarctica, in four regions characterized by different RS sampling and surface topography, confirm its effectiveness. Moreover, they point out that the method could be used for guiding future RS surveys, since the identified optimal scales are typically larger than those needed for addressing specific science objectives. Article in Journal/Newspaper Antarc* Antarctica Byrd Glacier Ice Sheet Università degli Studi di Trento: CINECA IRIS Byrd Byrd Glacier ENVELOPE(160.333,160.333,-80.250,-80.250) IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 11 2 401 415 |
institution |
Open Polar |
collection |
Università degli Studi di Trento: CINECA IRIS |
op_collection_id |
ftutrentoiris |
language |
English |
topic |
altimeter ice sheet radar sounder remote sensing Three-dimensional (3-D) reconstruction Computers in Earth Science Atmospheric Science |
spellingShingle |
altimeter ice sheet radar sounder remote sensing Three-dimensional (3-D) reconstruction Computers in Earth Science Atmospheric Science Ilisei, Ana-Maria Bruzzone, Lorenzo A Method for Automatic Three-Dimensional Reconstruction of Ice Sheets by Using Radar Sounder and Altimeter Data |
topic_facet |
altimeter ice sheet radar sounder remote sensing Three-dimensional (3-D) reconstruction Computers in Earth Science Atmospheric Science |
description |
Understanding the processes occurring at the ice sheets requires reliable three-dimensional (3-D) models of the ice sheet geometry. To address this challenge, we propose a technique for the 3-D reconstruction of the ice sheet geometry that uses radar sounder (RS) and altimeter (ALT) data to automatically identify the scale (or grid size) for interpolation. Existing studies derive the interpolation scale empirically, by qualitatively analyzing the RS data sampling and often neglecting the surface topography effects. Our method initially performs the interpolation of RS data at several potential scales. At each scale, it uses the ordinary kriging interpolation method that enables the quantitative analysis of both the RS data sampling and the surface topography. The optimal scale for the estimation of the surface map is identified according to an objective criterion that minimizes the difference to a subset of reference ALT data. Thereafter, the identified optimum scale on the surface is used to estimate the bedrock and ice thickness maps. Thus, the technique is a best-effort approach to the reconstruction of the ice sheet geometry, given the reference surface data and in the absence of reference bedrock data. Results obtained by applying the method to RS and ALT data acquired over the Byrd Glacier in Antarctica, in four regions characterized by different RS sampling and surface topography, confirm its effectiveness. Moreover, they point out that the method could be used for guiding future RS surveys, since the identified optimal scales are typically larger than those needed for addressing specific science objectives. |
author2 |
Ilisei, Ana-Maria Bruzzone, Lorenzo |
format |
Article in Journal/Newspaper |
author |
Ilisei, Ana-Maria Bruzzone, Lorenzo |
author_facet |
Ilisei, Ana-Maria Bruzzone, Lorenzo |
author_sort |
Ilisei, Ana-Maria |
title |
A Method for Automatic Three-Dimensional Reconstruction of Ice Sheets by Using Radar Sounder and Altimeter Data |
title_short |
A Method for Automatic Three-Dimensional Reconstruction of Ice Sheets by Using Radar Sounder and Altimeter Data |
title_full |
A Method for Automatic Three-Dimensional Reconstruction of Ice Sheets by Using Radar Sounder and Altimeter Data |
title_fullStr |
A Method for Automatic Three-Dimensional Reconstruction of Ice Sheets by Using Radar Sounder and Altimeter Data |
title_full_unstemmed |
A Method for Automatic Three-Dimensional Reconstruction of Ice Sheets by Using Radar Sounder and Altimeter Data |
title_sort |
method for automatic three-dimensional reconstruction of ice sheets by using radar sounder and altimeter data |
publisher |
country:USA |
publishDate |
2018 |
url |
http://hdl.handle.net/11572/218216 https://doi.org/10.1109/JSTARS.2017.2787199 https://ieeexplore.ieee.org/abstract/document/8275482 |
long_lat |
ENVELOPE(160.333,160.333,-80.250,-80.250) |
geographic |
Byrd Byrd Glacier |
geographic_facet |
Byrd Byrd Glacier |
genre |
Antarc* Antarctica Byrd Glacier Ice Sheet |
genre_facet |
Antarc* Antarctica Byrd Glacier Ice Sheet |
op_relation |
info:eu-repo/semantics/altIdentifier/wos/WOS:000425661700007 volume:2018, 11 issue:2 firstpage:401 lastpage:415 numberofpages:15 journal:IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING http://hdl.handle.net/11572/218216 doi:10.1109/JSTARS.2017.2787199 info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85041403202 https://ieeexplore.ieee.org/abstract/document/8275482 |
op_rights |
info:eu-repo/semantics/closedAccess |
op_doi |
https://doi.org/10.1109/JSTARS.2017.2787199 |
container_title |
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
container_volume |
11 |
container_issue |
2 |
container_start_page |
401 |
op_container_end_page |
415 |
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