Mass balance study of the Znosko glacier, Antarctica, using remote sensing and in situ measurements
Glaciers are a key indicator of climate change. Since the second half of the 20th century several glaciers in Antarctica have retreated. In situ measurements of glacier mass balance in the Antarctic Peninsula and its surrounding islands are very scarce because this area is inaccessible due to rough...
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ftsenamhi:oai:repositorio.senamhi.gob.pe:20.500.12542/1900 2024-09-15T17:43:38+00:00 Mass balance study of the Znosko glacier, Antarctica, using remote sensing and in situ measurements Bello, Cinthya Suarez, Wilson Brondi, F. Gonzales, Gilbert 2021-03 application/pdf https://hdl.handle.net/20.500.12542/1900 spa spa European Geosciences Union https://hdl.handle.net/20.500.12542/1900 info:eu-repo/semantics/openAccess Atribución-NoComercial-SinDerivadas 3.0 Estados Unidos de América Repositorio Institucional - SENAMHI Servicio Nacional de Meteorología e Hidrología del Perú Glaciares Antarctica Glaciar Znosko info:eu-repo/semantics/report 2021 ftsenamhi https://doi.org/20.500.12542/1900 2024-08-28T23:30:30Z Glaciers are a key indicator of climate change. Since the second half of the 20th century several glaciers in Antarctica have retreated. In situ measurements of glacier mass balance in the Antarctic Peninsula and its surrounding islands are very scarce because this area is inaccessible due to rough terrain and inhospitable atmospheric conditions, but there is a necessity in study peripheral glaciers dynamics to know their future contribution to sea level rise. To fill this gap, remote sensing is an alternative tool to enable timely monitoring of dynamic glaciers and quantifying spatial-temporal changes. Here we combine remote sensing (satellite imaginary and aerial photos) and in situ measurements to calculate mass balance for the Znosko glacier (King George Island, Antarctic Peninsula) and compare the accuracy of this methods. Two field campaigns were carried out during the XXVI and XXVII Peruvian Antarctic Operation (austral summer 2018/19 and 2019/20). 19 stakes were fixed on the glacier surface, in situ mass balance data were collected from yearly stake measurements. Also, digital elevation models were generated through aerial photogrammetry and auxiliary data from the ICESat-2 mission were included into the analysis. We find that mass balances estimated with these methods are consistent and confirm the mass loss (heterogeneous pattern between accumulation and ablation zone) and retreat of Znosko glacier. We illustrate how participatory mapping (interdisciplinary team) can complement initial remote sensing land cover classification and assist ground checks. Report Antarc* Antarctic Antarctic Peninsula Antarctica King George Island Znosko Glacier SENAMHI - Institutional Repository |
institution |
Open Polar |
collection |
SENAMHI - Institutional Repository |
op_collection_id |
ftsenamhi |
language |
Spanish |
topic |
Glaciares Antarctica Glaciar Znosko |
spellingShingle |
Glaciares Antarctica Glaciar Znosko Bello, Cinthya Suarez, Wilson Brondi, F. Gonzales, Gilbert Mass balance study of the Znosko glacier, Antarctica, using remote sensing and in situ measurements |
topic_facet |
Glaciares Antarctica Glaciar Znosko |
description |
Glaciers are a key indicator of climate change. Since the second half of the 20th century several glaciers in Antarctica have retreated. In situ measurements of glacier mass balance in the Antarctic Peninsula and its surrounding islands are very scarce because this area is inaccessible due to rough terrain and inhospitable atmospheric conditions, but there is a necessity in study peripheral glaciers dynamics to know their future contribution to sea level rise. To fill this gap, remote sensing is an alternative tool to enable timely monitoring of dynamic glaciers and quantifying spatial-temporal changes. Here we combine remote sensing (satellite imaginary and aerial photos) and in situ measurements to calculate mass balance for the Znosko glacier (King George Island, Antarctic Peninsula) and compare the accuracy of this methods. Two field campaigns were carried out during the XXVI and XXVII Peruvian Antarctic Operation (austral summer 2018/19 and 2019/20). 19 stakes were fixed on the glacier surface, in situ mass balance data were collected from yearly stake measurements. Also, digital elevation models were generated through aerial photogrammetry and auxiliary data from the ICESat-2 mission were included into the analysis. We find that mass balances estimated with these methods are consistent and confirm the mass loss (heterogeneous pattern between accumulation and ablation zone) and retreat of Znosko glacier. We illustrate how participatory mapping (interdisciplinary team) can complement initial remote sensing land cover classification and assist ground checks. |
format |
Report |
author |
Bello, Cinthya Suarez, Wilson Brondi, F. Gonzales, Gilbert |
author_facet |
Bello, Cinthya Suarez, Wilson Brondi, F. Gonzales, Gilbert |
author_sort |
Bello, Cinthya |
title |
Mass balance study of the Znosko glacier, Antarctica, using remote sensing and in situ measurements |
title_short |
Mass balance study of the Znosko glacier, Antarctica, using remote sensing and in situ measurements |
title_full |
Mass balance study of the Znosko glacier, Antarctica, using remote sensing and in situ measurements |
title_fullStr |
Mass balance study of the Znosko glacier, Antarctica, using remote sensing and in situ measurements |
title_full_unstemmed |
Mass balance study of the Znosko glacier, Antarctica, using remote sensing and in situ measurements |
title_sort |
mass balance study of the znosko glacier, antarctica, using remote sensing and in situ measurements |
publisher |
European Geosciences Union |
publishDate |
2021 |
url |
https://hdl.handle.net/20.500.12542/1900 |
genre |
Antarc* Antarctic Antarctic Peninsula Antarctica King George Island Znosko Glacier |
genre_facet |
Antarc* Antarctic Antarctic Peninsula Antarctica King George Island Znosko Glacier |
op_source |
Repositorio Institucional - SENAMHI Servicio Nacional de Meteorología e Hidrología del Perú |
op_relation |
https://hdl.handle.net/20.500.12542/1900 |
op_rights |
info:eu-repo/semantics/openAccess Atribución-NoComercial-SinDerivadas 3.0 Estados Unidos de América |
op_doi |
https://doi.org/20.500.12542/1900 |
_version_ |
1810490715585642496 |