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The Influence of Surface Sediment Presence on Observed Passive Microwave Brightness Temperatures of First-Year Sea Ice during the Summer Melt Period

机译:夏季融化期表层沉积物含量对第一年海冰观测被动微波亮温的影响

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摘要

Knowledge on the influence of sea ice sediment on passive microwave brightness temperatures(T_B) is currently limited, leading to potential inaccuracies in derived sea ice concentrationswhere this ice exists. We propose that sediment may influence T_B in two ways:(ⅰ) by altering the surface dielectrics, or (ⅱ) by generating differential melt rates across theice surface, increasing surface roughness. This study will examine the second proposedhypothesis through a multi-platform analysis, combining in-situ passive microwave andunmanned aerial vehicle (UAV) data. UAV image analysis shows a negative relationshipbetween surface elevation and sediment concentration. Comparing this with observedT_B shows that horizontally polarized emissions are the most sensitive to rougher ice surfaceswith 19 and 37GHz T_B decreasing rapidly with increased incidence angle. At a 55° incidenceangle, 89GHz offers the greatest potential for discriminating sea ice surfaces influenced bysediment presence, as T_B are greater in both polarizations in comparison with non-sediment-laden ice. Results from this research provide evidence for a relationship between seaice surface sediment and passive microwave signature, meriting future research in this field.
机译:目前对海冰沉积物对无源微波亮度温度(T_B)的影响的知识是有限的,这导致该冰存在的派生海冰浓度存在潜在的误差。我们认为,沉积物可能以两种方式影响T_B:(ⅰ)通过改变表面电介质,或(ⅱ)通过在整个冰面上产生不同的熔化速率,从而增加表面粗糙度。这项研究将结合原位无源微波和无人飞行器(UAV)数据,通过多平台分析来检验第二个假设。无人机图像分析表明,地表高程与泥沙浓度呈负相关。将此与观察到的T_B进行比较表明,水平极化辐射对较粗糙的冰面最为敏感,随着入射角的增加,T_B随19和37GHz的变化迅速降低。在55°入射角下,89GHz具有最大的潜力来区分受沉积物存在影响的海冰表面,因为与非含沙冰块相比,两个极化的T_B都更大。这项研究的结果为海表表面沉积物与被动微波特征之间的关系提供了证据,值得在该领域进行进一步的研究。

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  • 来源
    《Canadian Journal of Remote Sensing》 |2019年第4期|333-349|共17页
  • 作者单位

    Centre for Earth Observation Science Department of Environment and Geography University of Manitoba Winnipeg Canada;

    Centre for Earth Observation Science Department of Environment and Geography University of Manitoba Winnipeg Canada Department of Electrical and Computer Engineering University of Manitoba Winnipeg Canada;

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