Data and code for the publication of a surge-specific DEM workflow on ASTER DEMs.

This repository is associated to the publication published with the title "Glacier surge monitoring from temporally dense elevation time series: application to an ASTER dataset over the Karakoram region" (Beraud et al., 2025).It contains elevation change maps produced by the workflow, stacks of elevation interpolated by the workflow as netCDF files, the Python script of the workflow, and vector outlines used in the study. The elevation change maps and the elevation stacks covers several HMA regions, including Karakoram the study area of the publication.It covers the areas the most prone to surge events over 2000-2020, in the following regions: Karakoram, Pamir, Central Tien Shan, Eastern and Western Kunlun Shan. _______________________________Content of the data repository: Elevation change maps (archive dh_maps_[region].zip, containing raster **.tif files) Regional maps of the elevation changes over different periods (3 years, 5 years, and 2002-2019), interpolated results in metres (m). Name: dh_[date1]_[date2].tif Surge-affected areas (archive selectedGlaciers_Areas.zip, containing vector **.gpkg files) Surge-affected areas drawn manually of four selected glacier surges, divided into reservoir and receiving areas. Python script dem_processing_publi.py Script with the implementation of the workflow presented in this study. Python script Starter_ASTERdems.py Introductory script with basic functions to use the interpolated ASTER dataset. Processed DEMs, interpolated ASTER stacks (stacks_[region].zip, containing **.nc files) Archive with ASTER stacks interpolated with the workflow, in .nc NetCDF format. The area of each stack is 1x1° tiles, the name in the format "N38E075" correspond to the bottom left coordinate of the tile (N38E075: longitude 75° to 76°, latitude 38° to 39°). The Coordinate Reference System of each stack can be retrieved in the stack attributes, see Starter_ASTERdems.py, function open_plot_stack(). Processed DEMs merged by regions, interpolated ASTER stacks (stacks_merged_by_region.zip, containing **.nc files) Archive with ASTER stacks interpolated with the workflow, in .nc NetCDF format. [region]_merged_ALPS-REML.nc files in the directory are the product of the merging of 1x1° tiles product 5., for which all the region tiles are merged after bilinear interpolation on the same coordinate grid (slight loss of quality expected for some tiles). _______________________________Associated publication: Beraud, L., Brun, F., Dehecq, A., Hugonnet, R., and Shekhar, P.: Glacier surge monitoring from temporally dense elevation time series: application to an ASTER dataset over the Karakoram region, The Cryosphere, 19, 5075–5094, https://doi.org/10.5194/tc-19-5075-2025, 2025.本仓库关联于题为《基于时序密集高程时间序列的冰川跃动监测——以喀喇昆仑地区ASTER（高级星载热发射与反射辐射计）数据集为例》（Beraud等，2025）的学术论文。本仓库包含由本研究工作流（workflow）生成的高程变化图、经工作流插值得到的以NetCDF格式存储的高程时序栈、本研究使用的Python工作流脚本，以及研究中用到的矢量轮廓数据。 本数据集的高程变化图与高程时序栈覆盖了多个高亚洲（HMA, High Mountain Asia）区域，其中包括本论文的研究区域喀喇昆仑地区。其覆盖了2000-2020年间冰川跃动高风险区域，涉及以下地区：喀喇昆仑、帕米尔、中天山、东昆仑山与西昆仑山。 _______________________________数据仓库内容： 高程变化图（存档文件dh_maps_[region].zip，内含*.tif栅格文件）：该存档包含不同时段（3年、5年及2002-2019年）的区域高程变化图，插值结果单位为米（m），文件命名格式为dh_[date1]_[date2].tif。 冰川跃动影响区域（存档文件selectedGlaciers_Areas.zip，内含*.gpkg矢量文件）：该存档包含手动绘制的4处典型冰川跃动的影响区域，分为补给区与接收区两类。 Python脚本dem_processing_publi.py：实现本研究提出的工作流的完整代码。 入门脚本Starter_ASTERdems.py：包含基础功能的入门脚本，用于调用插值得到的ASTER数据集。 经处理的数字高程模型（DEM, Digital Elevation Model）与插值得到的ASTER高程时序栈（存档文件stacks_[region].zip，内含*.nc文件）：该存档包含经本研究工作流插值得到的ASTER高程时序栈，存储格式为NetCDF。每个时序栈对应1×1度的瓦片区域，文件名采用“N38E075”格式，该名称对应瓦片的左下角坐标（如N38E075代表经度75°~76°、纬度38°~39°的区域）。每个时序栈的坐标参考系统可从其属性文件中获取，具体调用方法可参考Starter_ASTERdems.py中的open_plot_stack()函数。 经区域合并的处理后数字高程模型与插值ASTER高程时序栈（存档文件stacks_merged_by_region.zip，内含*.nc文件）：该存档包含经本研究工作流插值得到的ASTER高程时序栈，存储格式为NetCDF。目录中的[region]_merged_ALPS-REML.nc文件为上述1×1度瓦片的合并产物：将该区域内所有瓦片通过双线性插值统一到同一坐标网格后进行合并，部分瓦片可能存在轻微的质量损失。 _______________________________关联学术论文： Beraud, L., Brun, F., Dehecq, A., Hugonnet, R. 与Shekhar, P.：《基于时序密集高程时间序列的冰川跃动监测——以喀喇昆仑地区ASTER数据集为例》，发表于《The Cryosphere》，第19卷，5075–5094页，https://doi.org/10.5194/tc-19-5075-2025，2025年。