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首页> 外文期刊>Geoscience and Remote Sensing, IEEE Transactions on >Nonparametric Regression for Estimation of Spatiotemporal Mountain Glacier Retreat From Satellite Images
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Nonparametric Regression for Estimation of Spatiotemporal Mountain Glacier Retreat From Satellite Images

机译:利用卫星图像估算时空高山冰川退缩的非参数回归

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摘要

Historical variations in the extent of mountain glaciers give insight into natural and forced changes of these bellwethers of the climate. Because of the limited number of ground observations relative to the number of glaciers, it is useful to develop techniques that permit for the monitoring of glacier systems using satellite imagery. Here, we propose a new approach for identifying the glacier terminus over time from Landsat images. The proposed method permits for detecting inflection points in multispectral satellite imagery taken along a glacier's flow path in order to identify candidate terminus locations. A gated tracking algorithm is then applied to identify the best candidate for the glacier terminus location through time. Finally, the long-term trend of the terminus position is estimated with uncertainty bounds. This is achieved by applying nonparametric regression to the temporal sequence of estimated terminus locations. The method is shown to give results consistent with ground-based observations for the Franz Josef and Gorner glaciers and is further applied to estimate the retreat of Viedma, a glacier with no available ground measurements.
机译:高山冰川范围的历史变化可以洞悉这些气候领头羊的自然变化和强迫变化。由于相对于冰川数量而言,地面观测的数量有限,因此开发允许使用卫星图像监控冰川系统的技术非常有用。在这里,我们提出了一种从Landsat影像中识别冰川终点的新方法。所提出的方法允许检测沿冰川流动路径拍摄的多光谱卫星图像中的拐点,以便识别候选终点位置。然后应用门控跟踪算法来确定冰川终点位置随时间变化的最佳候选者。最后,在不确定性范围内估算终点站的长期趋势。这是通过将非参数回归应用于估计的终点位置的时间序列来实现的。结果表明,该方法得出的结果与弗朗兹·约瑟夫(Franz Josef)和戈尔纳(Gorner)冰川的地面观测结果相符,并进一步用于估算维德玛(Viedma)的后撤,冰川没有可用的地面测量结果。

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