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An automatic method to create flow lines for determination of glacier length: A pilot study with Alaskan glaciers

机译:创建流线确定冰川长度的自动方法:阿拉斯加冰川的初步研究

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摘要

Glacier length is a key parameter in global glacier inventories, but difficult to determine in a consistent way and subject to frequent change. Its vector representation (a flow line) is a most important input for modeling future glacier evolution, but only seldom available from digital databases. Hence, there is an urgent need to generate such flow lines for a large number of glaciers from automated methods. We here present a new algorithm that is based on Python scripting and additional libraries (GDAL and OCR) and requires only a DEM and glacier outlines as an input. The core of the method is based on a glacier axis concept that is combined with geometry rules such as the k-d Tree, Nearest Neighbor and crossing test theory. We have applied the method to 400 glaciers located in Western Alaska, where a new glacier inventory was recently created. The accuracy of the method was assessed by a quantitative and qualitative (outline overlay) comparison with a manually digitized dataset for 20 glaciers. This comparison revealed for 17 out of the 20 glaciers a length value within the range of the manual digitizations. Other potential methods performed less well. Combined with previous glacier outlines from the same region (Digital Line Graph) we automatically determined length changes for 390 glaciers over a c. 50 year period.
机译:冰川长度是全球冰川清单中的一个关键参数,但是很难以一致的方式确定并且容易发生频繁变化。它的矢量表示(一条流线)是对未来冰川演化进行建模的最重要输入,但很少能从数字数据库中获得。因此,迫切需要通过自动化方法为大量冰川生成这种流线。我们在这里提出一种基于Python脚本和其他库(GDAL和OCR)的新算法,仅需要DEM和冰川轮廓作为输入。该方法的核心基于冰川轴概念,该概念与诸如k-d树,最近邻居和交叉测试理论之类的几何规则结合在一起。我们已将该方法应用于位于阿拉斯加西部的400个冰川,最近在该冰川建立了新的冰川清单。通过与20个冰川的手动数字化数据集进行定量和定性(轮廓叠加)比较,评估了该方法的准确性。该比较显示了20个冰川中的17个冰川的长度值在手动数字化范围内。其他可能的方法效果较差。结合先前来自同一地区的冰川轮廓(数字折线图),我们自动确定了c上390个冰川的长度变化。 50年期限。

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