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Analysis of snow changes in alpine regions with X-band data: electromagnetic analysis and snow cover mapping

机译:具有X波段数据的高山地区的雪变化分析:电磁分析和雪覆盖映射

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High-resolution and high-frequency COSMO-SkyMed images acquired in the period between 26 April 2010 and 5 April 2011 over the test site in South Tyrol (Northern Italy) offer the chance to analyze the snow changes and to infer information about the physical characteristic of the snow. The X-band sensitivity to snow status was analyzed using two different electromagnetic approaches: 1st Radiative Transfer model, IEM, and a multi-scattering and multi-layer snow scattering model. It results that the description of the dry snow requires a more detailed information about the underlying layers to extract information about the volumetric and ground contribution of the snowpack. The comparison between multi-scattering and multi-layer model predictions and SAR data indicates a better agreement between the measurements and co-polarized backscattering values with respect to the cross polarized backscattering values which appears to be lower than expected indicating that a detailed description on the land surface parameters might help to generate more accurate simulations. The change detection technique for the detection of wet snow was investigated to obtain snow cover map. By using the threshold of -3dB the two frequency distributions for the snow and no-snow areas, are well-separated only in the case of wet snow areas; on the contrary it results that, at the beginning of the melting season, the frequency distribution still overlaps. From the comparison with LANDSAT 7 ETM+ derived snow map, the omission error of 9.11percent and the commission error of 1.84percent confirm the typical underestimation of snow cover from SAR images with respect to optical images.
机译:高分辨率和高频航天医疗2011年4月在南蒂罗尔(意大利北部)的试验场2010年4月26日和5之间的期间获取的图像提供给分析有关物理特性雪变化,并推断信息的机会的雪。第一辐射传输模式,IEM,以及多散射和多层雪散射模型:使用两种不同的电磁方法进行分析,以雪状态X波段的灵敏度。它的结果的干雪的描述需要对基础层对积雪的体积和地面贡献提取的信息更详细的信息。多散射和多层模型预测和SAR数据之间的比较指示测量和共极化后向散射值之间相对于比预期这似乎是低交叉极化后向散射值指示较好的协议,关于一个详细的描述地表参数可能有助于产生更精确的模拟。用于检测的湿雪的变化检测技术进行了研究,得到积雪地图。通过使用-3dB的阈值的雪和无雪领域两个频率分布,是良好分离仅在湿雪区域的情况下;相反的结果可知,在熔化赛季初,频率分布仍然重叠。从与LANDSAT 7 ETM +比较衍生雪地图,9.11percent遗漏错误和1.84percent确认积雪从SAR图像典型低估相对于光学图像的佣金错误。

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