Geomorphological mapping of ice-free areas using polarimetric RADARSAT-2 data on Fildes Peninsula and Ardley Island, Antarctica

International audience Satellite-borne Synthetic Aperture Radar (SAR) has been used for characterizing and mapping in two relevant ice-free areas in the South Shetland Islands. The objective has been to identify and characterize land surface covers that mainly include periglacial and glacial landfor...

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Published in:Geomorphology
Main Authors: Schmid, Thomas, López-Martínez, Jerónimo, Guillaso, Stéphane, Serrano, Enrique, D'Hondt, Olivier, Koch, Magaly, Nieto, Ana, O'Neill, Tanya, Mink, Sandra, Durán Valsero, Juan José, Maestro, Adolfo
Other Authors: Centro de Investigaciones Energéticas Medioambientales y Tecnológicas Madrid (CIEMAT), Universidad Autonoma de Madrid (UAM), GIPSA - Signal Images Physique (GIPSA-SIGMAPHY), Département Images et Signal (GIPSA-DIS), Grenoble Images Parole Signal Automatique (GIPSA-lab ), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut Polytechnique de Grenoble - Grenoble Institute of Technology-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes 2016-2019 (UGA 2016-2019 )-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut Polytechnique de Grenoble - Grenoble Institute of Technology-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes 2016-2019 (UGA 2016-2019 )-Grenoble Images Parole Signal Automatique (GIPSA-lab ), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut Polytechnique de Grenoble - Grenoble Institute of Technology-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes 2016-2019 (UGA 2016-2019 )-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut Polytechnique de Grenoble - Grenoble Institute of Technology-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes 2016-2019 (UGA 2016-2019 ), Technische Universität Berlin (TU), Universidad de Valladolid Valladolid (UVa), Boston University Boston (BU), University of Waikato Hamilton, Instituto Geológico y Minero de España (IGME)
Format: Article in Journal/Newspaper
Language:English
Published: HAL CCSD 2017
Subjects:
Online Access:https://hal.archives-ouvertes.fr/hal-01407386
https://doi.org/10.1016/j.geomorph.2016.09.031
id ftccsdartic:oai:HAL:hal-01407386v1
record_format openpolar
institution Open Polar
collection Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe)
op_collection_id ftccsdartic
language English
topic Periglacial
Ice-free areas
RADARSAT-2
Polarimetry
South Shetland Islands
Geomorphology
[SDE]Environmental Sciences
[SPI]Engineering Sciences [physics]
spellingShingle Periglacial
Ice-free areas
RADARSAT-2
Polarimetry
South Shetland Islands
Geomorphology
[SDE]Environmental Sciences
[SPI]Engineering Sciences [physics]
Schmid, Thomas
López-Martínez, Jerónimo
Guillaso, Stéphane
Serrano, Enrique
D'Hondt, Olivier
Koch, Magaly
Nieto, Ana
O'Neill, Tanya
Mink, Sandra
Durán Valsero, Juan José
Maestro, Adolfo
Geomorphological mapping of ice-free areas using polarimetric RADARSAT-2 data on Fildes Peninsula and Ardley Island, Antarctica
topic_facet Periglacial
Ice-free areas
RADARSAT-2
Polarimetry
South Shetland Islands
Geomorphology
[SDE]Environmental Sciences
[SPI]Engineering Sciences [physics]
description International audience Satellite-borne Synthetic Aperture Radar (SAR) has been used for characterizing and mapping in two relevant ice-free areas in the South Shetland Islands. The objective has been to identify and characterize land surface covers that mainly include periglacial and glacial landforms, using fully polarimetric SAR C band RADARSAT-2 data, on Fildes Peninsula that forms part of King George Island, and Ardley Island. Polarimetric parameters obtained from the SAR data, a selection of field based training and validation sites and a supervised classification approach, using the support vector machine were chosen to determine the spatial distribution of the different landforms. Eight periglacial and glacial landforms were characterized according to their scattering mechanisms using a set of 48 polarimetric parameters. The mapping of the most representative surface covers included colluvial deposits, stone fields and pavements, patterned grounds, glacial till and rock outcrops, lakes and glacier ice. The overall accuracy of the results was estimated at 81%, a significant value when mapping areas that are within isolated regions where access is limited. Periglacial surface covers such as stone fields and pavements occupy 25% and patterned grounds over 20% of the ice-free areas. These are results that form the basis for an extensive monitoring of the ice-free areas throughout the northern Antarctic Peninsula region.
author2 Centro de Investigaciones Energéticas Medioambientales y Tecnológicas Madrid (CIEMAT)
Universidad Autonoma de Madrid (UAM)
GIPSA - Signal Images Physique (GIPSA-SIGMAPHY)
Département Images et Signal (GIPSA-DIS)
Grenoble Images Parole Signal Automatique (GIPSA-lab )
Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut Polytechnique de Grenoble - Grenoble Institute of Technology-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes 2016-2019 (UGA 2016-2019 )-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut Polytechnique de Grenoble - Grenoble Institute of Technology-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes 2016-2019 (UGA 2016-2019 )-Grenoble Images Parole Signal Automatique (GIPSA-lab )
Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut Polytechnique de Grenoble - Grenoble Institute of Technology-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes 2016-2019 (UGA 2016-2019 )-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut Polytechnique de Grenoble - Grenoble Institute of Technology-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes 2016-2019 (UGA 2016-2019 )
Technische Universität Berlin (TU)
Universidad de Valladolid Valladolid (UVa)
Boston University Boston (BU)
University of Waikato Hamilton
Instituto Geológico y Minero de España (IGME)
format Article in Journal/Newspaper
author Schmid, Thomas
López-Martínez, Jerónimo
Guillaso, Stéphane
Serrano, Enrique
D'Hondt, Olivier
Koch, Magaly
Nieto, Ana
O'Neill, Tanya
Mink, Sandra
Durán Valsero, Juan José
Maestro, Adolfo
author_facet Schmid, Thomas
López-Martínez, Jerónimo
Guillaso, Stéphane
Serrano, Enrique
D'Hondt, Olivier
Koch, Magaly
Nieto, Ana
O'Neill, Tanya
Mink, Sandra
Durán Valsero, Juan José
Maestro, Adolfo
author_sort Schmid, Thomas
title Geomorphological mapping of ice-free areas using polarimetric RADARSAT-2 data on Fildes Peninsula and Ardley Island, Antarctica
title_short Geomorphological mapping of ice-free areas using polarimetric RADARSAT-2 data on Fildes Peninsula and Ardley Island, Antarctica
title_full Geomorphological mapping of ice-free areas using polarimetric RADARSAT-2 data on Fildes Peninsula and Ardley Island, Antarctica
title_fullStr Geomorphological mapping of ice-free areas using polarimetric RADARSAT-2 data on Fildes Peninsula and Ardley Island, Antarctica
title_full_unstemmed Geomorphological mapping of ice-free areas using polarimetric RADARSAT-2 data on Fildes Peninsula and Ardley Island, Antarctica
title_sort geomorphological mapping of ice-free areas using polarimetric radarsat-2 data on fildes peninsula and ardley island, antarctica
publisher HAL CCSD
publishDate 2017
url https://hal.archives-ouvertes.fr/hal-01407386
https://doi.org/10.1016/j.geomorph.2016.09.031
long_lat ENVELOPE(-58.817,-58.817,-62.217,-62.217)
ENVELOPE(-58.948,-58.948,-62.182,-62.182)
ENVELOPE(-58.953,-58.953,-62.201,-62.201)
ENVELOPE(-58.933,-58.933,-62.213,-62.213)
geographic Antarctic
Antarctic Peninsula
King George Island
South Shetland Islands
Fildes
Fildes peninsula
Ardley
Ardley Island
geographic_facet Antarctic
Antarctic Peninsula
King George Island
South Shetland Islands
Fildes
Fildes peninsula
Ardley
Ardley Island
genre Antarc*
Antarctic
Antarctic Peninsula
Antarctica
Ardley Island
King George Island
South Shetland Islands
genre_facet Antarc*
Antarctic
Antarctic Peninsula
Antarctica
Ardley Island
King George Island
South Shetland Islands
op_source ISSN: 0169-555X
Geomorphology
https://hal.archives-ouvertes.fr/hal-01407386
Geomorphology, Elsevier, 2017, 293 (part B), pp.448-459. ⟨10.1016/j.geomorph.2016.09.031⟩
op_relation info:eu-repo/semantics/altIdentifier/doi/10.1016/j.geomorph.2016.09.031
hal-01407386
https://hal.archives-ouvertes.fr/hal-01407386
doi:10.1016/j.geomorph.2016.09.031
op_doi https://doi.org/10.1016/j.geomorph.2016.09.031
container_title Geomorphology
container_volume 293
container_start_page 448
op_container_end_page 459
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spelling ftccsdartic:oai:HAL:hal-01407386v1 2023-05-15T13:43:33+02:00 Geomorphological mapping of ice-free areas using polarimetric RADARSAT-2 data on Fildes Peninsula and Ardley Island, Antarctica Schmid, Thomas López-Martínez, Jerónimo Guillaso, Stéphane Serrano, Enrique D'Hondt, Olivier Koch, Magaly Nieto, Ana O'Neill, Tanya Mink, Sandra Durán Valsero, Juan José Maestro, Adolfo Centro de Investigaciones Energéticas Medioambientales y Tecnológicas Madrid (CIEMAT) Universidad Autonoma de Madrid (UAM) GIPSA - Signal Images Physique (GIPSA-SIGMAPHY) Département Images et Signal (GIPSA-DIS) Grenoble Images Parole Signal Automatique (GIPSA-lab ) Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut Polytechnique de Grenoble - Grenoble Institute of Technology-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes 2016-2019 (UGA 2016-2019 )-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut Polytechnique de Grenoble - Grenoble Institute of Technology-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes 2016-2019 (UGA 2016-2019 )-Grenoble Images Parole Signal Automatique (GIPSA-lab ) Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut Polytechnique de Grenoble - Grenoble Institute of Technology-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes 2016-2019 (UGA 2016-2019 )-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut Polytechnique de Grenoble - Grenoble Institute of Technology-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes 2016-2019 (UGA 2016-2019 ) Technische Universität Berlin (TU) Universidad de Valladolid Valladolid (UVa) Boston University Boston (BU) University of Waikato Hamilton Instituto Geológico y Minero de España (IGME) 2017-02 https://hal.archives-ouvertes.fr/hal-01407386 https://doi.org/10.1016/j.geomorph.2016.09.031 en eng HAL CCSD Elsevier info:eu-repo/semantics/altIdentifier/doi/10.1016/j.geomorph.2016.09.031 hal-01407386 https://hal.archives-ouvertes.fr/hal-01407386 doi:10.1016/j.geomorph.2016.09.031 ISSN: 0169-555X Geomorphology https://hal.archives-ouvertes.fr/hal-01407386 Geomorphology, Elsevier, 2017, 293 (part B), pp.448-459. ⟨10.1016/j.geomorph.2016.09.031⟩ Periglacial Ice-free areas RADARSAT-2 Polarimetry South Shetland Islands Geomorphology [SDE]Environmental Sciences [SPI]Engineering Sciences [physics] info:eu-repo/semantics/article Journal articles 2017 ftccsdartic https://doi.org/10.1016/j.geomorph.2016.09.031 2021-11-07T04:09:20Z International audience Satellite-borne Synthetic Aperture Radar (SAR) has been used for characterizing and mapping in two relevant ice-free areas in the South Shetland Islands. The objective has been to identify and characterize land surface covers that mainly include periglacial and glacial landforms, using fully polarimetric SAR C band RADARSAT-2 data, on Fildes Peninsula that forms part of King George Island, and Ardley Island. Polarimetric parameters obtained from the SAR data, a selection of field based training and validation sites and a supervised classification approach, using the support vector machine were chosen to determine the spatial distribution of the different landforms. Eight periglacial and glacial landforms were characterized according to their scattering mechanisms using a set of 48 polarimetric parameters. The mapping of the most representative surface covers included colluvial deposits, stone fields and pavements, patterned grounds, glacial till and rock outcrops, lakes and glacier ice. The overall accuracy of the results was estimated at 81%, a significant value when mapping areas that are within isolated regions where access is limited. Periglacial surface covers such as stone fields and pavements occupy 25% and patterned grounds over 20% of the ice-free areas. These are results that form the basis for an extensive monitoring of the ice-free areas throughout the northern Antarctic Peninsula region. Article in Journal/Newspaper Antarc* Antarctic Antarctic Peninsula Antarctica Ardley Island King George Island South Shetland Islands Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe) Antarctic Antarctic Peninsula King George Island South Shetland Islands Fildes ENVELOPE(-58.817,-58.817,-62.217,-62.217) Fildes peninsula ENVELOPE(-58.948,-58.948,-62.182,-62.182) Ardley ENVELOPE(-58.953,-58.953,-62.201,-62.201) Ardley Island ENVELOPE(-58.933,-58.933,-62.213,-62.213) Geomorphology 293 448 459