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A physically-based method for mapping glacial debris-cover thickness from ASTER satellite imagery: development and testing at Miage Glacier, Italian Alps

机译:一种基于物理为基础的方法,用于从Aster卫星图像上映射冰川碎屑厚度:冰冰川,意大利阿尔卑斯山的开发和测试

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摘要

Debris-covered glaciers (>50% of the ablation zone covered by debris) are common in many of the world's major mountain ran ges an d rep resent an imp ortant fres hwater resource. Previous studies have established that surface melt rates decrease strongly for an increase in supraglacial debris thickness from a fe wcmupto 20-30 cm, whereas, th in an d patchy debris cover enhances melt due to albedo reduction. It is therefore important to develop methods to map and monitor changes in debris cover to en able predictions of glacier responses to climate change through numerical modelling. It is not possible to achieve this from ground-based measurements alone. Therefore, a m ethod to estimate debris thickness from an ASTER thermal band surface temperature image, based on a physical solution of the energy balance at the debris surface, has been developed. The model performs well in comparison to previous em pirical methods showing good agreem ent with measured debris thicknesses.
机译:杂物覆盖的冰川(>碎片覆盖的50%的消融区)在世界上许多主要的山区ran Ges A A D Rep Resend A A IMP Ortant Fres Hwater资源中是常见的。以前的研究已经确定,表面熔体率强烈降低,因为来自Fe WcMupto 20-30cm的超透透性碎片厚度增加,而D斑块碎片覆盖在D斑块碎片覆盖中,增强熔体由于反玻璃。因此,重要的是要制定地图和监测碎片覆盖的变化的方法,以便通过数值模拟来预测气候变化的冰川响应。单独从基于地面测量实现这一点。因此,已经开发出基于碎片表面的能量平衡的物理溶液,从紫色热带表面温度图像中估计来自紫色热带表面温度图像的碎片厚度。与先前的EM暗型方法相比,该模型良好地表现出良好的符合碎片厚度的良好达到良好的综合性。

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