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SAR ANALYSIS OF THE TERRA NOVA BAY ICE EDDY OF SUMMER 2015

机译:TERRA NOVA BAY ICE EDY SUMMER 2015的SAR分析

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In the framework of a study of new-ice formation inrnAntarctica, SAR image acquisitions were planned overrnTerra Nova Bay (TNB). Thanks to the ESA Third PartyrnMission program, Cosmo-SkyMed and Radarsat-2 imagesrnwere obtained for the period 20 February20 March,rn2015; in addition, available Sentinel-1 images over TNBrnfor the same period were retrieved from the ESA ScientificrnData Hub. The first inspection of the images revealedrnthe presence of a prominent eddy of surface ice, presumablyrninduced by the wind blowing from the continent.rnOur first goal was to investigate the correlation betweenrneddy area and wind field. Wind data were obtained fromrnthe AWS ‘Eneide’ located near the Italian Antarctic Basern“Mario Zucchelli Station” at TNB.rnFormeasuring the eddy area, we developed a specific processingrnscheme which consists of the following stages:rn1. Non-linear filtering; 2. Segmentation, based on thernMarkov Random Field theory, which uses a contextualrnapproach applied to both the original and the filteredrnimage; 3. Extraction of the eddy parameters, area andrnperimeter, by means of an active contour detection algorithmrnwhich works in an iterative way.rnThe correlation between eddy area and wind field wasrnanalysed by means of the Running Correlation Coefficientrnfunction R_(cc) which can reveal the consistency betweenrnthe two variables. R_(cc) attained high values in thernperiod 20 February 12 March; after March 15, a powerfulrnkatabatic wind completely disrupted the surface icerneddy and displayed a well-defined polynya.
机译:在南极新冰形成的研究框架内,计划在新星湾(TNB)上搜寻SAR图像。借助ESA第三方任务计划,获得了2015年2月20日至3月20日的Cosmo-SkyMed和Radarsat-2图像;此外,还从ESA ScientificrnData Hub检索了同期TNBrn上可用的Sentinel-1图像。图像的首次检查揭示了可能是由大陆吹来的风引起的表面冰的显着涡流的存在。我们的首要目标是研究涡流面积与风场之间的相关性。风数据是从位于TNB的意大利南极基地“ Mario Zucchelli站”附近的AWS“ Eneide”获得的。rn为了确保涡流区域,我们开发了一种特定的处理方案,包括以下阶段:rn1。非线性滤波; 2.基于马尔可夫随机场理论的分割,其使用应用于原始图像和经滤波图像的上下文方法; 3.利用主动轮廓检测算法以迭代方式提取涡流参数,面积和周长。rn通过运行相关系数函数R_(cc)分析涡流面积与风场之间的相关性,可以揭示一致性在两个变量之间。 R_(cc)在2月20日至3月12日这一时期达到了很高的值; 3月15日之后,强烈的白方风彻底破坏了表面冰冷并显示出清晰的波利尼娅。

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