哨兵-1合成孔径雷达估算的地表融化与区域气候模式的比较。南极东部博杜安国王冰架的案例研究

Q3 Multidisciplinary
Thomas Dethinne, Quentin Glaude, C. Amory, C. Kittel, Xavier Fettweis
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引用次数: 0

摘要

南极洲是海平面上升的最大潜在因素,需要加以监测。它也是全球变暖的首批受害者之一。然而,在这片广袤而遥远的大陆上,通常很难获得高分辨率的数据。由于哥白尼空间计划提供了免费和开放的高质量数据,本文旨在展示Sentinel-1图像与南极洲mod大气 大气 (MAR)数据之间的互补性。本研究在雷博杜安冰架上进行。两个数据集之间的互补性是通过对雷达信号的振幅信息和由MAR模拟的几个变量的定量、时间和空间比较来确定的。比较表明,代表熔融的MAR变量与卫星记录的后向散射系数之间存在很强的空间相关性。虽然时间和定量分析也给出了令人印象深刻的结果,但需要进一步的调查来解释冰架其他不同区域的对比行为。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
COMPARAISON ENTRE LA FONTE DE SURFACE ESTIMÉE PAR LE RADAR À SYNTHÈSE D’OUVERTURE SENTINEL-1 ET UN MODÈLE CLIMATIQUE RÉGIONAL. CAS D’ÉTUDE SUR LA PLATEFORME DE GLACE DU ROI BAUDOUIN, EN ANTARCTIQUE DE L’EST
Antarctica is the largest potential contributor to sea-level rise and needs to be monitored. It is also one of the first victims of global warming. However, it is often difficult to obtain high-resolution data on this vast and distant continent. Thanks to the Copernicus space program providing free and open access to high-quality data, this paper aims to show the complementarity between Sentinel-1 images and Modèle Atmosphérique régional (MAR) data over Antarctica. This study is conducted over Roi Baudouin Ice Shelf. The complementarity between the two datasets is established by a quantitative, temporal, and spatial comparison of the amplitude information of the radar signal and several variables modelled by MAR. Comparisons show strong spatial correlations between MAR variables representing melt and the backscatter coefficient recorded by the satellite. While temporal and quantitative analyses also give impressive results, further investigations are required to explain contrasting behaviors in other different areas of the ice shelf.
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来源期刊
Bulletin de la Societe Royale des Sciences de Liege
Bulletin de la Societe Royale des Sciences de Liege Multidisciplinary-Multidisciplinary
CiteScore
0.90
自引率
0.00%
发文量
11
期刊介绍: The ‘Société Royale des Sciences de Liège" (hereafter the Society) regularly publishes in its ‘Bulletin" original scientific papers in the fields of astrophysics, biochemistry, biophysics, biology, chemistry, geology, mathematics, mineralogy or physics, following peer review approval.
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