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A new global dataset of mountain glacier centerline and length

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www.doi.org2025-03-25 收录
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https://www.doi.org/10.11922/sciencedb.01643
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The centerlines and maximum lengths of global mountain glaciers were extracted using an automatic extraction algorithm based on the latest global glacier inventory data, digital elevation model (DEM) data, and European allocation theory. In total, 198,137 glacier centerlines were generated, accounting for 99.74% of the total input glaciers and 91.52% of the RGI v6.0. The accuracy of glacier centerlines was 89.68%. A dataset containing 17 sub-datasets was generated through the above work, including two basic input datasets (Input glacier outlines and global glacier DEMs), two key result datasets (Global glacier centerlines and global glacier maximum lengths), four process datasets, six derived result datasets, and three supplementary datasets.

本数据集通过对最新全球冰川目录数据、数字高程模型(DEM)数据以及欧洲分配理论进行自动提取算法处理,提取了全球冰川的中心线及其最大长度。总计生成了198,137条冰川中心线,覆盖了总输入冰川的99.74%以及RGI v6.0中冰川的91.52%。冰川中心线的精度达到了89.68%。通过上述工作,共生成了包含17个子数据集的集合,其中包括两个基本输入数据集(冰川轮廓和全球冰川DEM数据)、两个关键结果数据集(全球冰川中心线和全球冰川最大长度)、四个过程数据集、六个派生结果数据集以及三个补充数据集。
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