Mapping the concentration of sea ice in the central Antarctic Peninsula with Sentinel 1 data

O gelo marinho atua como isolante térmico entre o oceano e a atmosfera e sem este, o oceano está livre para emitir calor à atmosfera, influenciando a formação de massas d’água e circulação oceânica. Este trabalho propõe a classificação e identificação do gelo marinho por meio de imagens SAR (Synthet...

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Published in:Revista Brasileira de Geografia Física
Main Authors: Hillebrand, Fernando Luis, Bremer, Ulisses Franz, Arigony-Neto, Jorge, da Rosa, Cristiano Niederauer, Mendes Júnior, Cláudio Wilson, Costi, Juliana, de Freitas, Marcos Wellausen Dias
Other Authors: Instituto Federal de Educação, Ciência e Tecnologia do Rio Grande do Sul (IFRS) e a Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - Brasil (CAPES)
Format: Article in Journal/Newspaper
Language:Portuguese
Published: Universidade Federal de Pernambuco 2020
Subjects:
Online Access:https://periodicos.ufpe.br/revistas/rbgfe/article/view/244616
https://doi.org/10.26848/rbgf.v13.3.p1106-1116
id ftunifpernambojs:oai:oai.periodicos.ufpe.br:article/244616
record_format openpolar
institution Open Polar
collection Portal de Periódicos - UFPE (Universidade Federal de Pernambuco)
op_collection_id ftunifpernambojs
language Portuguese
topic Sensoriamento Remoto
Coeficiente de retroespalhamento
Radar de abertura sintética
Classificação do gelo marinho
spellingShingle Sensoriamento Remoto
Coeficiente de retroespalhamento
Radar de abertura sintética
Classificação do gelo marinho
Hillebrand, Fernando Luis
Bremer, Ulisses Franz
Arigony-Neto, Jorge
da Rosa, Cristiano Niederauer
Mendes Júnior, Cláudio Wilson
Costi, Juliana
de Freitas, Marcos Wellausen Dias
Mapping the concentration of sea ice in the central Antarctic Peninsula with Sentinel 1 data
topic_facet Sensoriamento Remoto
Coeficiente de retroespalhamento
Radar de abertura sintética
Classificação do gelo marinho
description O gelo marinho atua como isolante térmico entre o oceano e a atmosfera e sem este, o oceano está livre para emitir calor à atmosfera, influenciando a formação de massas d’água e circulação oceânica. Este trabalho propõe a classificação e identificação do gelo marinho por meio de imagens SAR (Synthetic Aperture Radar) na banda C, obtidas pelo satélite Sentinel 1B, modo de imageamento EW (Extra Wide Swath) sob polarizações HH e HV, estando radiometricamente calibradas e normalizadas ao ângulo de incidência a 30°. A área de estudo abrangeu a região oceânica central da Península Antártica durante o inverno e início da primavera austral de 2018. A obtenção das amostras para a classificação das cenas SAR foi efetuada através da análise visual da textura dos alvos em imagens ópticas do Sentinel 2, composições RGB falsa-cor das polarizações HH e HV (R- σHH, G- σHV, B- σHV/ σHH e R- σHH, G- σHH, B- σHV) e classificação não supervisionada por meio da análise de cluster. Foram identificados coeficientes de retroespalhamento (σ) na polarização HH de -8,0 a -12,6 dB para gelo jovem e/ou gelo de primeiro ano, -2,1 a -7,3 dB ao gelo plurianual, e para a polarização HV de -19,3 a -24,2 dB para gelo jovem e/ou gelo de primeiro ano e -6,8 a -13,4 dB ao gelo plurianual. Estes resultados possibilitaram posteriormente no mapeamento da concentração do gelo marinho com o tamanho de janela de 15 x 15 pixels.
author2 Instituto Federal de Educação, Ciência e Tecnologia do Rio Grande do Sul (IFRS) e a Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - Brasil (CAPES)
format Article in Journal/Newspaper
author Hillebrand, Fernando Luis
Bremer, Ulisses Franz
Arigony-Neto, Jorge
da Rosa, Cristiano Niederauer
Mendes Júnior, Cláudio Wilson
Costi, Juliana
de Freitas, Marcos Wellausen Dias
author_facet Hillebrand, Fernando Luis
Bremer, Ulisses Franz
Arigony-Neto, Jorge
da Rosa, Cristiano Niederauer
Mendes Júnior, Cláudio Wilson
Costi, Juliana
de Freitas, Marcos Wellausen Dias
author_sort Hillebrand, Fernando Luis
title Mapping the concentration of sea ice in the central Antarctic Peninsula with Sentinel 1 data
title_short Mapping the concentration of sea ice in the central Antarctic Peninsula with Sentinel 1 data
title_full Mapping the concentration of sea ice in the central Antarctic Peninsula with Sentinel 1 data
title_fullStr Mapping the concentration of sea ice in the central Antarctic Peninsula with Sentinel 1 data
title_full_unstemmed Mapping the concentration of sea ice in the central Antarctic Peninsula with Sentinel 1 data
title_sort mapping the concentration of sea ice in the central antarctic peninsula with sentinel 1 data
publisher Universidade Federal de Pernambuco
publishDate 2020
url https://periodicos.ufpe.br/revistas/rbgfe/article/view/244616
https://doi.org/10.26848/rbgf.v13.3.p1106-1116
op_coverage Península Antártica
Anual
long_lat ENVELOPE(-60.366,-60.366,-62.716,-62.716)
ENVELOPE(66.156,66.156,66.322,66.322)
geographic Antarctic
Antarctic Peninsula
Austral
Falsa
Sob’
geographic_facet Antarctic
Antarctic Peninsula
Austral
Falsa
Sob’
genre Antarc*
Antarctic
Antarctic Peninsula
Antártica
Arctic
Journal of Glaciology
Sea ice
genre_facet Antarc*
Antarctic
Antarctic Peninsula
Antártica
Arctic
Journal of Glaciology
Sea ice
op_source Brazilian Journal of Physical Geography; v. 13, n. 3 (2020): Revista Brasileira de Geografia Física; 1106-1116
Revista Brasileira de Geografia Física; v. 13, n. 3 (2020): Revista Brasileira de Geografia Física; 1106-1116
1984-2295
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Arigony-Neto, J. 2006. Monitoring glacier parameters on the Antarctic Peninsula - a centerline approach combining satellite and GIS data. Freiburg: Tese de Doutorado (Doctoral at Forest and Environmental Sciences) Albert-Ludwigs-Universität, 159 pp.
Arkett, M; Flett, D; De Abreu, R. 2003. C-band multiple polarization SAR for ice monitoring–What can it do for the Canadian ice service. In: Proceedings of Envisat Symposium, Montreux, Switzerland, 23-27.
Balss, U.; Breit, H.; Fritz, T. 2010. Noise-related radiometric correction in the TerraSAR-X multimode SAR processor. IEEE Transactions on Geoscience and Remote Sensing 48, 741-750.
Barber, D.G. 2005. Microwave remote sensing, sea ice and Arctic climate. La Physique au Canada 61, 105-111.
Bovith, T; Andersen, S. 2005. Sea ice concentration from single-polarized SAR data using second-order grey level statistics and learning vector quantization. Danish Meteorological Institute: Scientific Report 05-04, 39 pp.
Clarke, A; Murphy, E.J.; Meredith, M.P.; King, J.C.; Peck, L.S.; Barnes, D.K.; Smith, R.C. 2006. Climate change and the marine ecosystem of the western Antarctic Peninsula. Philosophical Transactions of the Royal Society B: Biological Sciences 362 (1477), 149-166.
Comiso, J.C. 2009. Polar Oceans from Space. New York: Springer, 507 pp. Cunha, E.R.S.P. 2003. Integração Digital de Imagens de Radar e Landsat-TM com dados Geológicos e Aerogamaespectrométricos no Auxílio ao Mapeamento Geológico da Região do Complexo Granítico Estrela, Pará. São José dos Campos: Dissertação de Mestrado, Instituto Nacional de Pesquisas Espaciais, 147 pp.
Deser, C.; Walsh, J.E.; Timlin, M.S. 2000. Arctic sea ice variability in the context of recent atmospheric circulation trends. Journal of Climate 13, 617-633.
Gong, C.; Zhang, W.; Zhang, S.; Fan, W.; Luo, L.; Hu, Y. 2017. Sea ice features extraction near the South Shetland Islands with Sentinel-1 SAR data. In: AOPC 2017: Optical Sensing and Imaging Technology and Applications. International Society for Optics and Photonics 10462T, 1-6. Jacobs, S.S.; Gordon, A.L.; Amos, A.F. 1979. Effect of glacial ice melting on the Antarctic Surface Water. Nature 277, 469-471.
Karvonen, J. 2017. Baltic sea ice concentration estimation using sentinel-1 SAR and AMSR-2 microwave radiometer data. IEEE Transactions on Geoscience and Remote Sensing 55, 2871-2883.
Killworth, P.D. 1983. Deep convection in the world ocean. Reviews of Geophysics, 21 (1), 1-26.
Lefebvre, W.; Goosse, H. 2008. An analysis of the atmospheric processes driving the large‐scale winter sea ice variability in the Southern Ocean. Journal of Geophysical Research: Oceans 113 (C2), 1-15.
Leshkevich, G.A.; Nghiem, S.V. 2007. Satellite SAR remote sensing of Great Lakes ice cover, part 2. Ice classification and mapping. Journal of Great Lakes Research 33, 736-750.
Loew, A.; Mauser, W. 2007. Generation of geometrically and radiometrically terrain corrected SAR image products. Remote Sensing of Environment 106, 337-349.
Makynen, M.; Hallikainen, M. 1998. C-band backscattering signatures of Baltic sea ice. In: IGARSS '98. Sensing and Managing the Environment. 1998 IEEE International Geoscience and Remote Sensing. Symposium Proceedings, 983-985.
Makynen, M.; Hallikainen, M. 2004. Investigation of C-and X-band backscattering signatures of Baltic Sea ice. International Journal of Remote Sensing 25, 2061-2086.
Makynen, M.; Karvonen, J. 2017. Incidence angle dependence of first-year sea ice backscattering coefficient in SENTINEL-1 SAR imagery over the Kara Sea. IEEE Transactions on Geoscience and Remote Sensing 55, 6170-6181.
Martin, P.J.; Peel, D.A. 1978. The spatial distribution of 10 m temperatures in the Antarctic Peninsula. Journal of Glaciology 20 (83), 311-317.
Meredith, M.P.; Brandon, M.A.; Wallace, M.I.; Clarke, A.; Leng, M.J.; Renfrew, I.A.; King, J.C. 2008. Variability in the freshwater balance of northern Marguerite Bay, Antarctic Peninsula: results from δ18O. Deep Sea Research Part II: Topical Studies in Oceanography 55, 309-322.
Mladenova, I.E.; Jackson, T.J.; Bindlish, R.; Hensley, S. 2013. Incidence angle normalization of radar backscatter data. IEEE Transactions on Geoscience and Remote Sensing 51, 1791-1804.
Moffat, C.; Meredith, M. 2018. Shelf-ocean exchange and hydrography west of the Antarctic Peninsula: a review. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 376.
Montes-Hugo, M.; Doney, S.C.; Ducklow, H.W.; Fraser, W.; Martinson, D.; Stammerjohn, S.E.; Schofield, O. 2009. Recent changes in phytoplankton communities associated with rapid regional climate change along the western Antarctic Peninsula. Science 323 (5920), 1470-1473.
Partington, K.C.; Flach, J.D.; Barber, D.; Isleifson, D.; Meadows, P.J.; Verlaan, P. 2010. Dual-polarization C-band radar observations of sea ice in the Amundsen Gulf. IEEE Transactions on Geoscience and Remote Sensing 48, 2685-2691.
Scheuchi, B.; Caves, R.; Flett, D.; De Abreu, R.; Arkett, M.; Cumming, I. 2005. The potential of cross-polarization information for operational sea ice monitoring. In: Envisat e ERS Symposium, 572.
Scheuchl, B.; Flett, D.; Caves, R.; Cumming, I. 2004. Potential of RADARSAT-2 data for operational sea ice monitoring. Canadian Journal of Remote Sensing 30, 448-461.
Schwerdtfeger, W. 1984. Weather and Climate of the Antarctic. Amsterdam: Elsevier, 261 pp.
Simpkins, G.R.; Ciasto, L.M.; Thompson, D.W.; England, M.H. 2012. Seasonal relationships between large-scale climate variability and Antarctic sea ice concentration. Journal of Climate 25, 5451-5469.
Topouzelis, K.; Singha, S.; Kitsiou, D. 2016. Incidence angle normalization of Wide Swath SAR data for oceanographic applications. Open Geosciences 8, 450-464.
Vachon, P.W.; Wolfe, J. 2011. C-band cross-polarization wind speed retrieval. IEEE Geoscience and Remote Sensing Letters 8, 456-459.
Zakhvatkina, N.Y.; Alexandrov, V.Y.; Johannessen, O.M.; Sandven, S.; Frolov, I.Y. 2013. Classification of sea ice types in ENVISAT synthetic aperture radar images. IEEE Transactions on Geoscience and Remote Sensing 51, 2587-2600.
Zhou, C.; Zheng, L. 2017. Mapping radar glacier zones and dry snow line in the Antarctic Peninsula using Sentinel-1 images. Remote Sensing 9, 1-19.
https://periodicos.ufpe.br/revistas/rbgfe/article/view/244616
doi:10.26848/rbgf.v13.3.p1106-1116
op_rights Direitos autorais 2020 Revista Brasileira de Geografia Física
https://creativecommons.org/licenses/by/4.0
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spelling ftunifpernambojs:oai:oai.periodicos.ufpe.br:article/244616 2023-06-11T04:06:09+02:00 Mapping the concentration of sea ice in the central Antarctic Peninsula with Sentinel 1 data Hillebrand, Fernando Luis Bremer, Ulisses Franz Arigony-Neto, Jorge da Rosa, Cristiano Niederauer Mendes Júnior, Cláudio Wilson Costi, Juliana de Freitas, Marcos Wellausen Dias Instituto Federal de Educação, Ciência e Tecnologia do Rio Grande do Sul (IFRS) e a Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - Brasil (CAPES) Península Antártica Anual 2020-06-01 application/pdf https://periodicos.ufpe.br/revistas/rbgfe/article/view/244616 https://doi.org/10.26848/rbgf.v13.3.p1106-1116 por por Universidade Federal de Pernambuco https://periodicos.ufpe.br/revistas/rbgfe/article/view/244616/35369 https://periodicos.ufpe.br/revistas/rbgfe/article/downloadSuppFile/244616/32568 https://periodicos.ufpe.br/revistas/rbgfe/article/downloadSuppFile/244616/32569 https://periodicos.ufpe.br/revistas/rbgfe/article/downloadSuppFile/244616/32570 https://periodicos.ufpe.br/revistas/rbgfe/article/downloadSuppFile/244616/32571 https://periodicos.ufpe.br/revistas/rbgfe/article/downloadSuppFile/244616/32572 https://periodicos.ufpe.br/revistas/rbgfe/article/downloadSuppFile/244616/32573 https://periodicos.ufpe.br/revistas/rbgfe/article/downloadSuppFile/244616/32574 Arigony-Neto, J. 2006. Monitoring glacier parameters on the Antarctic Peninsula - a centerline approach combining satellite and GIS data. Freiburg: Tese de Doutorado (Doctoral at Forest and Environmental Sciences) Albert-Ludwigs-Universität, 159 pp. Arkett, M; Flett, D; De Abreu, R. 2003. C-band multiple polarization SAR for ice monitoring–What can it do for the Canadian ice service. In: Proceedings of Envisat Symposium, Montreux, Switzerland, 23-27. Balss, U.; Breit, H.; Fritz, T. 2010. Noise-related radiometric correction in the TerraSAR-X multimode SAR processor. IEEE Transactions on Geoscience and Remote Sensing 48, 741-750. Barber, D.G. 2005. Microwave remote sensing, sea ice and Arctic climate. La Physique au Canada 61, 105-111. Bovith, T; Andersen, S. 2005. Sea ice concentration from single-polarized SAR data using second-order grey level statistics and learning vector quantization. Danish Meteorological Institute: Scientific Report 05-04, 39 pp. Clarke, A; Murphy, E.J.; Meredith, M.P.; King, J.C.; Peck, L.S.; Barnes, D.K.; Smith, R.C. 2006. Climate change and the marine ecosystem of the western Antarctic Peninsula. Philosophical Transactions of the Royal Society B: Biological Sciences 362 (1477), 149-166. Comiso, J.C. 2009. Polar Oceans from Space. New York: Springer, 507 pp. Cunha, E.R.S.P. 2003. Integração Digital de Imagens de Radar e Landsat-TM com dados Geológicos e Aerogamaespectrométricos no Auxílio ao Mapeamento Geológico da Região do Complexo Granítico Estrela, Pará. São José dos Campos: Dissertação de Mestrado, Instituto Nacional de Pesquisas Espaciais, 147 pp. Deser, C.; Walsh, J.E.; Timlin, M.S. 2000. Arctic sea ice variability in the context of recent atmospheric circulation trends. Journal of Climate 13, 617-633. Gong, C.; Zhang, W.; Zhang, S.; Fan, W.; Luo, L.; Hu, Y. 2017. Sea ice features extraction near the South Shetland Islands with Sentinel-1 SAR data. In: AOPC 2017: Optical Sensing and Imaging Technology and Applications. International Society for Optics and Photonics 10462T, 1-6. Jacobs, S.S.; Gordon, A.L.; Amos, A.F. 1979. Effect of glacial ice melting on the Antarctic Surface Water. Nature 277, 469-471. Karvonen, J. 2017. Baltic sea ice concentration estimation using sentinel-1 SAR and AMSR-2 microwave radiometer data. IEEE Transactions on Geoscience and Remote Sensing 55, 2871-2883. Killworth, P.D. 1983. Deep convection in the world ocean. Reviews of Geophysics, 21 (1), 1-26. Lefebvre, W.; Goosse, H. 2008. An analysis of the atmospheric processes driving the large‐scale winter sea ice variability in the Southern Ocean. Journal of Geophysical Research: Oceans 113 (C2), 1-15. Leshkevich, G.A.; Nghiem, S.V. 2007. Satellite SAR remote sensing of Great Lakes ice cover, part 2. Ice classification and mapping. Journal of Great Lakes Research 33, 736-750. Loew, A.; Mauser, W. 2007. Generation of geometrically and radiometrically terrain corrected SAR image products. Remote Sensing of Environment 106, 337-349. Makynen, M.; Hallikainen, M. 1998. C-band backscattering signatures of Baltic sea ice. In: IGARSS '98. Sensing and Managing the Environment. 1998 IEEE International Geoscience and Remote Sensing. Symposium Proceedings, 983-985. Makynen, M.; Hallikainen, M. 2004. Investigation of C-and X-band backscattering signatures of Baltic Sea ice. International Journal of Remote Sensing 25, 2061-2086. Makynen, M.; Karvonen, J. 2017. Incidence angle dependence of first-year sea ice backscattering coefficient in SENTINEL-1 SAR imagery over the Kara Sea. IEEE Transactions on Geoscience and Remote Sensing 55, 6170-6181. Martin, P.J.; Peel, D.A. 1978. The spatial distribution of 10 m temperatures in the Antarctic Peninsula. Journal of Glaciology 20 (83), 311-317. Meredith, M.P.; Brandon, M.A.; Wallace, M.I.; Clarke, A.; Leng, M.J.; Renfrew, I.A.; King, J.C. 2008. Variability in the freshwater balance of northern Marguerite Bay, Antarctic Peninsula: results from δ18O. Deep Sea Research Part II: Topical Studies in Oceanography 55, 309-322. Mladenova, I.E.; Jackson, T.J.; Bindlish, R.; Hensley, S. 2013. Incidence angle normalization of radar backscatter data. IEEE Transactions on Geoscience and Remote Sensing 51, 1791-1804. Moffat, C.; Meredith, M. 2018. Shelf-ocean exchange and hydrography west of the Antarctic Peninsula: a review. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 376. Montes-Hugo, M.; Doney, S.C.; Ducklow, H.W.; Fraser, W.; Martinson, D.; Stammerjohn, S.E.; Schofield, O. 2009. Recent changes in phytoplankton communities associated with rapid regional climate change along the western Antarctic Peninsula. Science 323 (5920), 1470-1473. Partington, K.C.; Flach, J.D.; Barber, D.; Isleifson, D.; Meadows, P.J.; Verlaan, P. 2010. Dual-polarization C-band radar observations of sea ice in the Amundsen Gulf. IEEE Transactions on Geoscience and Remote Sensing 48, 2685-2691. Scheuchi, B.; Caves, R.; Flett, D.; De Abreu, R.; Arkett, M.; Cumming, I. 2005. The potential of cross-polarization information for operational sea ice monitoring. In: Envisat e ERS Symposium, 572. Scheuchl, B.; Flett, D.; Caves, R.; Cumming, I. 2004. Potential of RADARSAT-2 data for operational sea ice monitoring. Canadian Journal of Remote Sensing 30, 448-461. Schwerdtfeger, W. 1984. Weather and Climate of the Antarctic. Amsterdam: Elsevier, 261 pp. Simpkins, G.R.; Ciasto, L.M.; Thompson, D.W.; England, M.H. 2012. Seasonal relationships between large-scale climate variability and Antarctic sea ice concentration. Journal of Climate 25, 5451-5469. Topouzelis, K.; Singha, S.; Kitsiou, D. 2016. Incidence angle normalization of Wide Swath SAR data for oceanographic applications. Open Geosciences 8, 450-464. Vachon, P.W.; Wolfe, J. 2011. C-band cross-polarization wind speed retrieval. IEEE Geoscience and Remote Sensing Letters 8, 456-459. Zakhvatkina, N.Y.; Alexandrov, V.Y.; Johannessen, O.M.; Sandven, S.; Frolov, I.Y. 2013. Classification of sea ice types in ENVISAT synthetic aperture radar images. IEEE Transactions on Geoscience and Remote Sensing 51, 2587-2600. Zhou, C.; Zheng, L. 2017. Mapping radar glacier zones and dry snow line in the Antarctic Peninsula using Sentinel-1 images. Remote Sensing 9, 1-19. https://periodicos.ufpe.br/revistas/rbgfe/article/view/244616 doi:10.26848/rbgf.v13.3.p1106-1116 Direitos autorais 2020 Revista Brasileira de Geografia Física https://creativecommons.org/licenses/by/4.0 Brazilian Journal of Physical Geography; v. 13, n. 3 (2020): Revista Brasileira de Geografia Física; 1106-1116 Revista Brasileira de Geografia Física; v. 13, n. 3 (2020): Revista Brasileira de Geografia Física; 1106-1116 1984-2295 Sensoriamento Remoto Coeficiente de retroespalhamento Radar de abertura sintética Classificação do gelo marinho info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion 300 2020 ftunifpernambojs https://doi.org/10.26848/rbgf.v13.3.p1106-1116 2023-04-18T11:24:34Z O gelo marinho atua como isolante térmico entre o oceano e a atmosfera e sem este, o oceano está livre para emitir calor à atmosfera, influenciando a formação de massas d’água e circulação oceânica. Este trabalho propõe a classificação e identificação do gelo marinho por meio de imagens SAR (Synthetic Aperture Radar) na banda C, obtidas pelo satélite Sentinel 1B, modo de imageamento EW (Extra Wide Swath) sob polarizações HH e HV, estando radiometricamente calibradas e normalizadas ao ângulo de incidência a 30°. A área de estudo abrangeu a região oceânica central da Península Antártica durante o inverno e início da primavera austral de 2018. A obtenção das amostras para a classificação das cenas SAR foi efetuada através da análise visual da textura dos alvos em imagens ópticas do Sentinel 2, composições RGB falsa-cor das polarizações HH e HV (R- σHH, G- σHV, B- σHV/ σHH e R- σHH, G- σHH, B- σHV) e classificação não supervisionada por meio da análise de cluster. Foram identificados coeficientes de retroespalhamento (σ) na polarização HH de -8,0 a -12,6 dB para gelo jovem e/ou gelo de primeiro ano, -2,1 a -7,3 dB ao gelo plurianual, e para a polarização HV de -19,3 a -24,2 dB para gelo jovem e/ou gelo de primeiro ano e -6,8 a -13,4 dB ao gelo plurianual. Estes resultados possibilitaram posteriormente no mapeamento da concentração do gelo marinho com o tamanho de janela de 15 x 15 pixels. Article in Journal/Newspaper Antarc* Antarctic Antarctic Peninsula Antártica Arctic Journal of Glaciology Sea ice Portal de Periódicos - UFPE (Universidade Federal de Pernambuco) Antarctic Antarctic Peninsula Austral Falsa ENVELOPE(-60.366,-60.366,-62.716,-62.716) Sob’ ENVELOPE(66.156,66.156,66.322,66.322) Revista Brasileira de Geografia Física 13 3 1106