Monitoring snow parameters on the Antarctic Peninsula using satellite data: a new methodological approach
Autor(a) principal: | |
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Data de Publicação: | 2006 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da FURG (RI FURG) |
Texto Completo: | http://repositorio.furg.br/handle/1/5586 |
Resumo: | Ongoing climatic change on the Antarctic Peninsula is well documented in numerous scientific publications. Nevertheless, spatial and temporal distribution of glacier changes on the Antarctic Peninsula remain largely unknown. To analyse regional patterns and trends of changes in snow cover parameters on the Antarctic Peninsula north of 70° S, we propose a geostatistical approach based on the analysis of data derived by remote sensing methods. A time series of radar (ERS-1/2 SAR, Envisat ASAR and Radarsat SAR) and optical data (Landsat TM, Landsat ETM+ and Terra ASTER) enables the compilation of a multi-temporal database of glacier parameters for the last two decades. In this paper, we propose a method to facilitate the pre-processing and classification of remotely sensed data from several sources, and describe a sampling method used for selecting a representative set of glaciers for evaluation of classification algorithms. The so-called centreline approach facilitates pre-processing and classification of remote sensing data for monitoring glacier zones. In addition, the approach enables the integration of data from different sources, and mini-mizes the need of high resolution digital elevation models (DEM) for terrain correction. |
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Monitoring snow parameters on the Antarctic Peninsula using satellite data: a new methodological approachGlacier monitoringAntarctic PeninsulaGlacier zonesMulti-temporalOngoing climatic change on the Antarctic Peninsula is well documented in numerous scientific publications. Nevertheless, spatial and temporal distribution of glacier changes on the Antarctic Peninsula remain largely unknown. To analyse regional patterns and trends of changes in snow cover parameters on the Antarctic Peninsula north of 70° S, we propose a geostatistical approach based on the analysis of data derived by remote sensing methods. A time series of radar (ERS-1/2 SAR, Envisat ASAR and Radarsat SAR) and optical data (Landsat TM, Landsat ETM+ and Terra ASTER) enables the compilation of a multi-temporal database of glacier parameters for the last two decades. In this paper, we propose a method to facilitate the pre-processing and classification of remotely sensed data from several sources, and describe a sampling method used for selecting a representative set of glaciers for evaluation of classification algorithms. The so-called centreline approach facilitates pre-processing and classification of remote sensing data for monitoring glacier zones. In addition, the approach enables the integration of data from different sources, and mini-mizes the need of high resolution digital elevation models (DEM) for terrain correction.2015-12-06T09:43:26Z2015-12-06T09:43:26Z2006info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfARIGONY NETO, Jorge et al. Monitoring snow parameters on the Antarctic Peninsula using satellite data: a new methodological approach. EARSeL eProceedings, Paris, v. 5, n. 1, p. 100-110, 2006. Disponível em: <http://las.physik.uni-oldenburg.de/eProceedings/vol05_1/05_1_arigony-neto1.pdf>. Acesso em: 04 dez. 2015.1729-3782http://repositorio.furg.br/handle/1/5586engArigony Neto, JorgeSaurer, HelmutJaña, RicardoRau, FrankSimões, Jefferson CardiaGoßmann, Hermanninfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da FURG (RI FURG)instname:Universidade Federal do Rio Grande (FURG)instacron:FURG2015-12-06T09:43:26Zoai:repositorio.furg.br:1/5586Repositório InstitucionalPUBhttps://repositorio.furg.br/oai/request || http://200.19.254.174/oai/requestopendoar:2015-12-06T09:43:26Repositório Institucional da FURG (RI FURG) - Universidade Federal do Rio Grande (FURG)false |
dc.title.none.fl_str_mv |
Monitoring snow parameters on the Antarctic Peninsula using satellite data: a new methodological approach |
title |
Monitoring snow parameters on the Antarctic Peninsula using satellite data: a new methodological approach |
spellingShingle |
Monitoring snow parameters on the Antarctic Peninsula using satellite data: a new methodological approach Arigony Neto, Jorge Glacier monitoring Antarctic Peninsula Glacier zones Multi-temporal |
title_short |
Monitoring snow parameters on the Antarctic Peninsula using satellite data: a new methodological approach |
title_full |
Monitoring snow parameters on the Antarctic Peninsula using satellite data: a new methodological approach |
title_fullStr |
Monitoring snow parameters on the Antarctic Peninsula using satellite data: a new methodological approach |
title_full_unstemmed |
Monitoring snow parameters on the Antarctic Peninsula using satellite data: a new methodological approach |
title_sort |
Monitoring snow parameters on the Antarctic Peninsula using satellite data: a new methodological approach |
author |
Arigony Neto, Jorge |
author_facet |
Arigony Neto, Jorge Saurer, Helmut Jaña, Ricardo Rau, Frank Simões, Jefferson Cardia Goßmann, Hermann |
author_role |
author |
author2 |
Saurer, Helmut Jaña, Ricardo Rau, Frank Simões, Jefferson Cardia Goßmann, Hermann |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Arigony Neto, Jorge Saurer, Helmut Jaña, Ricardo Rau, Frank Simões, Jefferson Cardia Goßmann, Hermann |
dc.subject.por.fl_str_mv |
Glacier monitoring Antarctic Peninsula Glacier zones Multi-temporal |
topic |
Glacier monitoring Antarctic Peninsula Glacier zones Multi-temporal |
description |
Ongoing climatic change on the Antarctic Peninsula is well documented in numerous scientific publications. Nevertheless, spatial and temporal distribution of glacier changes on the Antarctic Peninsula remain largely unknown. To analyse regional patterns and trends of changes in snow cover parameters on the Antarctic Peninsula north of 70° S, we propose a geostatistical approach based on the analysis of data derived by remote sensing methods. A time series of radar (ERS-1/2 SAR, Envisat ASAR and Radarsat SAR) and optical data (Landsat TM, Landsat ETM+ and Terra ASTER) enables the compilation of a multi-temporal database of glacier parameters for the last two decades. In this paper, we propose a method to facilitate the pre-processing and classification of remotely sensed data from several sources, and describe a sampling method used for selecting a representative set of glaciers for evaluation of classification algorithms. The so-called centreline approach facilitates pre-processing and classification of remote sensing data for monitoring glacier zones. In addition, the approach enables the integration of data from different sources, and mini-mizes the need of high resolution digital elevation models (DEM) for terrain correction. |
publishDate |
2006 |
dc.date.none.fl_str_mv |
2006 2015-12-06T09:43:26Z 2015-12-06T09:43:26Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
ARIGONY NETO, Jorge et al. Monitoring snow parameters on the Antarctic Peninsula using satellite data: a new methodological approach. EARSeL eProceedings, Paris, v. 5, n. 1, p. 100-110, 2006. Disponível em: <http://las.physik.uni-oldenburg.de/eProceedings/vol05_1/05_1_arigony-neto1.pdf>. Acesso em: 04 dez. 2015. 1729-3782 http://repositorio.furg.br/handle/1/5586 |
identifier_str_mv |
ARIGONY NETO, Jorge et al. Monitoring snow parameters on the Antarctic Peninsula using satellite data: a new methodological approach. EARSeL eProceedings, Paris, v. 5, n. 1, p. 100-110, 2006. Disponível em: <http://las.physik.uni-oldenburg.de/eProceedings/vol05_1/05_1_arigony-neto1.pdf>. Acesso em: 04 dez. 2015. 1729-3782 |
url |
http://repositorio.furg.br/handle/1/5586 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da FURG (RI FURG) instname:Universidade Federal do Rio Grande (FURG) instacron:FURG |
instname_str |
Universidade Federal do Rio Grande (FURG) |
instacron_str |
FURG |
institution |
FURG |
reponame_str |
Repositório Institucional da FURG (RI FURG) |
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Repositório Institucional da FURG (RI FURG) |
repository.name.fl_str_mv |
Repositório Institucional da FURG (RI FURG) - Universidade Federal do Rio Grande (FURG) |
repository.mail.fl_str_mv |
|
_version_ |
1807384404328185856 |