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Using airborne laser altimetry to improve river flood extents delineated from SAR data

机译:利用机载激光测高仪改善SAR数据划定的河流洪水范围

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Flood extent maps derived from SAR images are a useful source of data for validating hydraulic models of river flood flow. The accuracy of such maps is reduced by a number of factors, including changes in returns from the water surface caused by different meteorological conditions and the presence of emergent vegetation. The paper describes how improved accuracy can be achieved by modifying an existing flood extent delineation algorithm to use airborne laser altimetry (LiDAR) as well as SAR data. The LiDAR data provide an additional constraint that waterline (land-water boundary) heights should vary smoothly along the flooded reach. The method was tested on a SAR image of a flood for which contemporaneous aerial photography existed, together with LiDAR data of the un-flooded reach. Waterline heights of the SAR flood extent conditioned on both SAR and LiDAR data matched the corresponding heights from the aerial photo waterline significantly more closely than those from the SAR flood extent conditioned only on SAR data.
机译:从SAR图像得出的洪水范围图是验证河流洪水流量水力模型的有用数据来源。此类地图的准确性会因许多因素而降低,其中包括因不同的气象条件和新出现的植被而导致水面返回的变化。本文介绍了如何通过修改现有的洪水范围划分算法以使用机载激光测高仪(LiDAR)以及SAR数据来提高精度。 LiDAR数据提供了一个额外的约束条件,即水线(陆水边界)的高度应沿着洪水泛滥的方向平稳变化。该方法在洪水的SAR图像上进行了测试,该图像存在同期航空摄影,并且未淹没的范围的LiDAR数据也是如此。与仅以SAR数据为条件的SAR洪水程度相比,以SAR和LiDAR数据为条件的SAR洪水程度的水线高度与来自航空照相水线的相应高度的匹配更加紧密。

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