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ESTIMATION OF SNOW THICKNESS ON SEA ICE AND LAKE ICE USING AIRBORNE SNOWSAR DATA

机译:利用航空降雪资料估算海冰和湖泊冰雪厚度

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Currently, snow thickness on sea ice is operationally estimated using microwave radiometer data. However, the estimates are hampered by the inherent coarse spatial resolution of passive microwave sensors. Successful application of SAR imagery for snow thickness estimation has the potential of providing estimates of snow thickness with much finer spatial resolution.In this study, we concentrate on assessing the capability of X- and Ku-band SAR backscattering to estimate snow thickness on sea and lake ice. Co- and cross -polarized X- and Ku-band SAR backscattering data, acquired with the ESA airborne SnowSAR sensor, are applied. The SAR data acquisition and co-incident in-situ measurements were conducted in Finland in the winter of 2012 over sea ice and lake ice test sites.Our analysis shows which frequency and polarization combinations have best sensitivity to snow thickness on sea and lake ice and in deep discussion provides plausible ways to improve the results.
机译:当前,使用微波辐射计数据可操作地估算海冰上的积雪厚度。但是,无源微波传感器固有的较粗糙的空间分辨率阻碍了估算。 SAR图像成功应用于积雪厚度估计具有提供更精细空间分辨率的积雪厚度估计的潜力。在本研究中,我们集中于评估X和Ku波段SAR反向散射估计海上积雪厚度的能力。湖冰。应用通过ESA机载SnowSAR传感器获取的同极化和交叉极化X波段和Ku波段SAR反向散射数据。 2012年冬季,芬兰在海冰和湖冰测试地点进行了SAR数据采集和同时发生的偶发事件测量,我们的分析表明哪种频率和极化组合对海冰和湖冰上的积雪厚度和在深入讨论中,提供了改善结果的合理途径。

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