Geomorphology and surface landforms distribution in selected ice-free areas in the South Shetland Islands, Northern Antarctic Peninsula region

Ice-free areas cover a small percentage of the land in the South Shetland Islands. However, they are significant as they contain ecosystems highly sensitive to environmental changes and are located within a region affected by global warming. These areas are dominated by periglacial, glacial, fluvial...

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Autores: López Martínez, Jerónimo, Schmid, T., Serrano, Enrique, Mink Proeck, Sandra Martina, Nieto, A., Guillaso, S.
Tipo de recurso: artículo
Fecha de publicación:2016
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/276757
Acceso en línea:http://hdl.handle.net/10261/276757
https://doi.org/10.18172/cig.2965
Access Level:acceso abierto
Palabra clave:glacial
periglacial
Coastal
geomorphological
mapping
Remote sensing
Antarctica
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spelling Geomorphology and surface landforms distribution in selected ice-free areas in the South Shetland Islands, Northern Antarctic Peninsula regionLópez Martínez, JerónimoSchmid, T.Serrano, EnriqueMink Proeck, Sandra MartinaNieto, A.Guillaso, S.glacialperiglacialCoastalgeomorphologicalmappingRemote sensingAntarcticaIce-free areas cover a small percentage of the land in the South Shetland Islands. However, they are significant as they contain ecosystems highly sensitive to environmental changes and are located within a region affected by global warming. These areas are dominated by periglacial, glacial, fluvial, and coastal processes and landforms, where permafrost is often present. Soil development is observed although vegetation cover is sparse and closely related to the geomorphology. The mapping and monitoring of ice-free areas is important as they are highly sensitive to climate change. The objective of this study was to characterize and map surface landforms in ice-free areas using traditional mapping methods as well as advanced remote sensing techniques. Geomorphological and topographical maps were initially obtained through field measurements and observations, and complemented with existing aerial photography at scales between 1:2000 and 1:25000. Thereafter, satellite-borne data became available and were included in the methodology to further determine the distribution of the landforms. In the Antarctic environment, Synthetic Aperture Radar (SAR) provides the most reliable images as data can be obtained in any weather conditions as well as during the day and night. Fully polarimetric SAR RADARSAT-2 were used to determine seven different terrain classes representing surface landforms in ice-free areas around Maxwell Bay (King George Island). The SAR remote sensing techniques were successfully applied to identify different periglacial, fluvial, glacial, coastal, as well as lithological landforms. Field data from Fildes Peninsula were used to train a supervised classifier to map further areas around Maxwell Bay. In this case, the ice-free areas around Maxwell Bay clearly show the dominance of periglacial landforms and processes. Therefore, these techniques can be used to compare past and future results and to monitor areas affected by changing environmental factors and increasing human activitiesDepartamento de Geología y Geoquímica, Universidad Autónoma de Madrid, EspañaDepartamento de Medio Ambiente, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, EspañaDepartamento de Geografía, Universidad de Valladolid, EspañaInstituto Geológico y Minero de España, EspañaComputer Vision and Remote Sensing Group, Technische Universität Berlin, AlemaniaUniversidad de La RiojaCanadian Space Agency202220222016info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501http://hdl.handle.net/10261/276757https://doi.org/10.18172/cig.2965reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Inglés#PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE#CTM2014-57119-RScience and Operational Applications Research Program--5169https://publicaciones.unirioja.es/ojs/index.php/cig/article/view/2965Noinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/2767572026-05-22T06:33:51Z
dc.title.none.fl_str_mv Geomorphology and surface landforms distribution in selected ice-free areas in the South Shetland Islands, Northern Antarctic Peninsula region
title Geomorphology and surface landforms distribution in selected ice-free areas in the South Shetland Islands, Northern Antarctic Peninsula region
spellingShingle Geomorphology and surface landforms distribution in selected ice-free areas in the South Shetland Islands, Northern Antarctic Peninsula region
López Martínez, Jerónimo
glacial
periglacial
Coastal
geomorphological
mapping
Remote sensing
Antarctica
title_short Geomorphology and surface landforms distribution in selected ice-free areas in the South Shetland Islands, Northern Antarctic Peninsula region
title_full Geomorphology and surface landforms distribution in selected ice-free areas in the South Shetland Islands, Northern Antarctic Peninsula region
title_fullStr Geomorphology and surface landforms distribution in selected ice-free areas in the South Shetland Islands, Northern Antarctic Peninsula region
title_full_unstemmed Geomorphology and surface landforms distribution in selected ice-free areas in the South Shetland Islands, Northern Antarctic Peninsula region
title_sort Geomorphology and surface landforms distribution in selected ice-free areas in the South Shetland Islands, Northern Antarctic Peninsula region
dc.creator.none.fl_str_mv López Martínez, Jerónimo
Schmid, T.
Serrano, Enrique
Mink Proeck, Sandra Martina
Nieto, A.
Guillaso, S.
author López Martínez, Jerónimo
author_facet López Martínez, Jerónimo
Schmid, T.
Serrano, Enrique
Mink Proeck, Sandra Martina
Nieto, A.
Guillaso, S.
author_role author
author2 Schmid, T.
Serrano, Enrique
Mink Proeck, Sandra Martina
Nieto, A.
Guillaso, S.
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Canadian Space Agency
dc.subject.none.fl_str_mv glacial
periglacial
Coastal
geomorphological
mapping
Remote sensing
Antarctica
topic glacial
periglacial
Coastal
geomorphological
mapping
Remote sensing
Antarctica
description Ice-free areas cover a small percentage of the land in the South Shetland Islands. However, they are significant as they contain ecosystems highly sensitive to environmental changes and are located within a region affected by global warming. These areas are dominated by periglacial, glacial, fluvial, and coastal processes and landforms, where permafrost is often present. Soil development is observed although vegetation cover is sparse and closely related to the geomorphology. The mapping and monitoring of ice-free areas is important as they are highly sensitive to climate change. The objective of this study was to characterize and map surface landforms in ice-free areas using traditional mapping methods as well as advanced remote sensing techniques. Geomorphological and topographical maps were initially obtained through field measurements and observations, and complemented with existing aerial photography at scales between 1:2000 and 1:25000. Thereafter, satellite-borne data became available and were included in the methodology to further determine the distribution of the landforms. In the Antarctic environment, Synthetic Aperture Radar (SAR) provides the most reliable images as data can be obtained in any weather conditions as well as during the day and night. Fully polarimetric SAR RADARSAT-2 were used to determine seven different terrain classes representing surface landforms in ice-free areas around Maxwell Bay (King George Island). The SAR remote sensing techniques were successfully applied to identify different periglacial, fluvial, glacial, coastal, as well as lithological landforms. Field data from Fildes Peninsula were used to train a supervised classifier to map further areas around Maxwell Bay. In this case, the ice-free areas around Maxwell Bay clearly show the dominance of periglacial landforms and processes. Therefore, these techniques can be used to compare past and future results and to monitor areas affected by changing environmental factors and increasing human activities
publishDate 2016
dc.date.none.fl_str_mv 2016
2022
2022
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/276757
https://doi.org/10.18172/cig.2965
url http://hdl.handle.net/10261/276757
https://doi.org/10.18172/cig.2965
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv #PLACEHOLDER_PARENT_METADATA_VALUE#
#PLACEHOLDER_PARENT_METADATA_VALUE#
CTM2014-57119-R
Science and Operational Applications Research Program--5169
https://publicaciones.unirioja.es/ojs/index.php/cig/article/view/2965
No
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Universidad de La Rioja
publisher.none.fl_str_mv Universidad de La Rioja
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,811543

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