Automatic detection of subglacial lakes in radar sounder data acquired in Antarctica
Subglacial lakes decouple the ice sheet from the underlying bedrock, thus facilitating the sliding of the ice masses towards the borders of the continents, consequently raising the sea level. This motivated increasing attention in the detection of subglacial lakes. So far, about 70% of the total num...
Published in: | Image and Signal Processing for Remote Sensing XXIII |
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ftutrentoiris:oai:iris.unitn.it:11572/193494 2024-02-11T09:58:50+01:00 Automatic detection of subglacial lakes in radar sounder data acquired in Antarctica Ana-Maria Ilisei Mahdi Khodadadzadeh Emanuele Dalsasso Lorenzo Bruzzone Bruzzone, L Ilisei, Ana - Maria Khodadadzadeh, Mahdi Dalsasso, Emanuele Bruzzone, Lorenzo 2017 ELETTRONICO http://hdl.handle.net/11572/193494 https://doi.org/10.1117/12.2279431 https://www.spiedigitallibrary.org/conference-proceedings-of-spie/10427/2279431/Automatic-detection-of-subglacial-lakes-in-radar-sounder-data-acquired/10.1117/12.2279431.full eng eng SPIE country:USA place:Bellingham, WA, USA info:eu-repo/semantics/altIdentifier/wos/WOS:000425842500035 ispartofbook:Proc. SPIE 10427, Image and Signal Processing for Remote Sensing XXIII SPIE Remote Sensing volume:10427 issue:1042718 firstpage:1 lastpage:10 numberofpages:10 alleditors:Bruzzone, L http://hdl.handle.net/11572/193494 doi:10.1117/12.2279431 info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85041062953 https://www.spiedigitallibrary.org/conference-proceedings-of-spie/10427/2279431/Automatic-detection-of-subglacial-lakes-in-radar-sounder-data-acquired/10.1117/12.2279431.full info:eu-repo/semantics/closedAccess Subglacial lakes radar sounder automatic detection ice sheet remote sensing info:eu-repo/semantics/conferenceObject 2017 ftutrentoiris https://doi.org/10.1117/12.2279431 2024-01-16T23:10:26Z Subglacial lakes decouple the ice sheet from the underlying bedrock, thus facilitating the sliding of the ice masses towards the borders of the continents, consequently raising the sea level. This motivated increasing attention in the detection of subglacial lakes. So far, about 70% of the total number of subglacial lakes in Antarctica have been detected by analysing radargrams acquired by radar sounder (RS) instruments. Although the amount of radargrams is expected to drastically increase, from both airborne and possible future Earth observation RS missions, currently the main approach to the detection of subglacial lakes in radargrams is by visual interpretation. This approach is subjective and extremely time consuming, thus difficult to apply to a large amount of radargrams. In order to address the limitations of the visual interpretation and to assist glaciologists in better understanding the relationship between the subglacial environment and the climate system, in this paper, we propose a technique for the automatic detection of subglacial lakes. The main contribution of the proposed technique is the extraction of features for discriminating between lake and non-lake basal interfaces. In particular, we propose the extraction of features that locally capture the topography of the basal interface, the shape and the correlation of the basal waveforms. Then, the extracted features are given as input to a supervised binary classifier based on Support Vector Machine to perform the automatic subglacial lake detection. The effectiveness of the proposed method is proven both quantitatively and qualitatively by applying it to a large dataset acquired in East Antarctica by the MultiChannel Coherent Radar Depth Sounder. Conference Object Antarc* Antarctica East Antarctica Ice Sheet Università degli Studi di Trento: CINECA IRIS East Antarctica Image and Signal Processing for Remote Sensing XXIII 48 |
institution |
Open Polar |
collection |
Università degli Studi di Trento: CINECA IRIS |
op_collection_id |
ftutrentoiris |
language |
English |
topic |
Subglacial lakes radar sounder automatic detection ice sheet remote sensing |
spellingShingle |
Subglacial lakes radar sounder automatic detection ice sheet remote sensing Ana-Maria Ilisei Mahdi Khodadadzadeh Emanuele Dalsasso Lorenzo Bruzzone Automatic detection of subglacial lakes in radar sounder data acquired in Antarctica |
topic_facet |
Subglacial lakes radar sounder automatic detection ice sheet remote sensing |
description |
Subglacial lakes decouple the ice sheet from the underlying bedrock, thus facilitating the sliding of the ice masses towards the borders of the continents, consequently raising the sea level. This motivated increasing attention in the detection of subglacial lakes. So far, about 70% of the total number of subglacial lakes in Antarctica have been detected by analysing radargrams acquired by radar sounder (RS) instruments. Although the amount of radargrams is expected to drastically increase, from both airborne and possible future Earth observation RS missions, currently the main approach to the detection of subglacial lakes in radargrams is by visual interpretation. This approach is subjective and extremely time consuming, thus difficult to apply to a large amount of radargrams. In order to address the limitations of the visual interpretation and to assist glaciologists in better understanding the relationship between the subglacial environment and the climate system, in this paper, we propose a technique for the automatic detection of subglacial lakes. The main contribution of the proposed technique is the extraction of features for discriminating between lake and non-lake basal interfaces. In particular, we propose the extraction of features that locally capture the topography of the basal interface, the shape and the correlation of the basal waveforms. Then, the extracted features are given as input to a supervised binary classifier based on Support Vector Machine to perform the automatic subglacial lake detection. The effectiveness of the proposed method is proven both quantitatively and qualitatively by applying it to a large dataset acquired in East Antarctica by the MultiChannel Coherent Radar Depth Sounder. |
author2 |
Bruzzone, L Ilisei, Ana - Maria Khodadadzadeh, Mahdi Dalsasso, Emanuele Bruzzone, Lorenzo |
format |
Conference Object |
author |
Ana-Maria Ilisei Mahdi Khodadadzadeh Emanuele Dalsasso Lorenzo Bruzzone |
author_facet |
Ana-Maria Ilisei Mahdi Khodadadzadeh Emanuele Dalsasso Lorenzo Bruzzone |
author_sort |
Ana-Maria Ilisei |
title |
Automatic detection of subglacial lakes in radar sounder data acquired in Antarctica |
title_short |
Automatic detection of subglacial lakes in radar sounder data acquired in Antarctica |
title_full |
Automatic detection of subglacial lakes in radar sounder data acquired in Antarctica |
title_fullStr |
Automatic detection of subglacial lakes in radar sounder data acquired in Antarctica |
title_full_unstemmed |
Automatic detection of subglacial lakes in radar sounder data acquired in Antarctica |
title_sort |
automatic detection of subglacial lakes in radar sounder data acquired in antarctica |
publisher |
SPIE |
publishDate |
2017 |
url |
http://hdl.handle.net/11572/193494 https://doi.org/10.1117/12.2279431 https://www.spiedigitallibrary.org/conference-proceedings-of-spie/10427/2279431/Automatic-detection-of-subglacial-lakes-in-radar-sounder-data-acquired/10.1117/12.2279431.full |
geographic |
East Antarctica |
geographic_facet |
East Antarctica |
genre |
Antarc* Antarctica East Antarctica Ice Sheet |
genre_facet |
Antarc* Antarctica East Antarctica Ice Sheet |
op_relation |
info:eu-repo/semantics/altIdentifier/wos/WOS:000425842500035 ispartofbook:Proc. SPIE 10427, Image and Signal Processing for Remote Sensing XXIII SPIE Remote Sensing volume:10427 issue:1042718 firstpage:1 lastpage:10 numberofpages:10 alleditors:Bruzzone, L http://hdl.handle.net/11572/193494 doi:10.1117/12.2279431 info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85041062953 https://www.spiedigitallibrary.org/conference-proceedings-of-spie/10427/2279431/Automatic-detection-of-subglacial-lakes-in-radar-sounder-data-acquired/10.1117/12.2279431.full |
op_rights |
info:eu-repo/semantics/closedAccess |
op_doi |
https://doi.org/10.1117/12.2279431 |
container_title |
Image and Signal Processing for Remote Sensing XXIII |
container_start_page |
48 |
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1790594602399432704 |