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Two methods for firn-area and mass-balance monitoring of Svalbard glaciers with SAR satellite images

机译:利用SAR卫星图像监测斯瓦尔巴德冰川的面积和质量平衡的两种方法

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This paper presents two methods for glacier monitoring on Svalbard using synthetic aperture radar (SAR) satellite images. Both methods were developed on glaciers in the Kongsfjorden area. The first method monitors the firn area extent and the firn line over time by thresholding and filtering the SAR image. Manual detection of the threshold is preferable, but using a constant threshold for all images also gives adequate results. A retreat of the firn-line position is visible, especially on Kongsvegen, corresponding to consecutive years of negative mass balance. The second method applies a k-means classification to three clusters on the glacier surface. The areal extent of the resulting class on the upper part of the glacier correlates remarkably well with the independently measured mass balance of Kongsvegen, having a correlation coefficient of around 0.89 for the various glaciers. This is because the snow from the accumulation area influences the k-means classification. Thus, on glaciers where mass-balance values are available, new mass-balance values can be predicted solely from SAR images. For glaciers where no mass balance is available, the area change cannot be calibrated to absolute mass-balance values, but relative changes can be predicted.
机译:本文介绍了两种使用合成孔径雷达(SAR)卫星图像对斯瓦尔巴德河进行冰川监测的方法。两种方法都是在Kongsfjorden地区的冰川上开发的。第一种方法是通过对SAR图像进行阈值化和滤波来监视点火区域范围和点火线随时间的变化。最好手动检测阈值,但是对所有图像使用恒定的阈值也会产生足够的结果。尤其是在Kongsvegen上,可以看到后退线位置的回落,这对应于连续多年负质量平衡。第二种方法将k均值分类应用于冰川表面上的三个群集。冰川上部的所得类别的面积范围与Kongsvegen的独立测得的质量平衡显着相关,各个冰川的相关系数约为0.89。这是因为来自堆积区域的积雪会影响k均值分类。因此,在可获得质量平衡值的冰川上,可以仅根据SAR图像预测新的质量平衡值。对于没有质量平衡可用的冰川,无法将面积变化校准为绝对质量平衡值,但可以预测相对变化。

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