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Crevasse and rift detection in Antarctica from TerraSAR-X satellite imagery

机译:来自Terrasar-X卫星图像的南极洲的Crevasse和Rift检测

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Surface crevasses covered by snow bridges can be mapped remotely on ice sheets and glaciers using active microwave synthetic aperture radar. They are highlighted against the surrounding snow due to increased scattering from the side-walls and base of snow bridges and usually appear as linear features. The contrast between crevasses and crevasse-free regions depends on the design of the sensor, the image acquisition parameters and the properties of the snow. Here we quantify how crevassed regions are represented at X-band for different polarizations, look directions and incidence angles, and discuss whether additional information about their physical properties can be gained from their radar signature. Snow bridge thicknesses and crevasse widths are measured on the ground in the McMurdo Shear Zone and Brunt Ice Shelf by ground-penetrating radar and excavation. TerraSAR-X is shown to reliably distinguish crevasse location, balancing penetration into the snow and horizontal resolution. We provide recommendations for radar imaging parameters that optimize the identification of individual crevasses and crevassed regions.
机译:雪桥覆盖的表面裂缝可以使用有源微波合成孔径雷达远程映射在冰盖和冰川上。由于从侧壁和雪桥的底部散射而导致它们突出突出显示周围的雪,并且通常看起来像线性特征一样。裂隙与裂隙区域之间的对比度取决于传感器的设计,图像采集参数和雪的属性。在这里,我们量化了如何在X波段处表示不同偏振的X波段,看起来方向和入射角,并讨论是否可以从其雷达签名中获得关于它们物理特性的附加信息。通过地面穿透雷达和挖掘,在McMurdo剪力区的地面上测量雪桥厚度和裂隙宽度,并通过地面穿透雷达和挖掘。 Terrasar-X被证明可靠地区分Crecasse位置,平衡渗透到雪和水平分辨率。我们为雷达成像参数提供了优化各个裂缝和裂隙区域的识别的建议。

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