Dataset of the May 2015 Karayaylak Glacier surge in eastern Pamir

Karayaylak Glacier (38°35′6″N～38°44′48″N， 75°7′47″E～75°22′29″E), located in the northern slope of Jiubie Peak of Kongur Mountains, eastern Paimr, China, surged in May 2015, which caused property losses to human beings. To enhance monitoring and analysis of the surged glacier has important practical significance for exploring the mechanism of surged glacier and establishing a disaster early warning. In this study, surface velocities of Karayaylak Glacier from April 13, 2015 to July 11, 2015 were obtained from Landsat images by feature tracking method. These data were stored in GeoTiff format in 32-bit floating point and have a spatial resolution of 240 m. A statistical analysis indicates that the results have an overall accuracy of less than ± 0.42 m d-1. The elevation change between 2013 and 2015 was also obtained from ASTER-derived DEM and stored in GeoTiff format in 32-bit floating point with a spatial resolution of 240 m. A statistical analysis of the residual error in the non-glacial area indicates that the results have an overall accuracy of about ± 0.7 m. The dataset can serve as the basis for investigating the surged glacier in this region, serve as input data for glacier dynamic models, and provide statistical support for glacier surge research. In addition, the result of monitoring surged glacier will not only provide the basis support of further research in glacier disaster early warning and risk assessment, but also ensure economic and social development of China–Pakistan Economic Corridor.

卡拉亚亚拉克冰川（Karayaylak Glacier）位于中国帕米尔东部公格尔山脉九别峰北坡，地理坐标为北纬38°35′6″～38°44′48″、东经75°7′47″～75°22′29″，该冰川于2015年5月发生跃动，给人类社会造成了财产损失。
加强对该跃动冰川的监测与分析，对于探索冰川跃动机制、构建灾害预警体系具有重要现实意义。
本研究通过特征追踪法（feature tracking method），利用Landsat影像（Landsat）获取了2015年4月13日至7月11日期间卡拉亚亚拉克冰川的表面流速数据。该类数据以32位浮点型GeoTiff格式存储，空间分辨率为240米。经统计分析，该数据集整体精度优于±0.42米/天。
2013至2015年的冰川高程变化数据同样通过ASTER衍生数字高程模型（ASTER-derived DEM）获取，同样以32位浮点型GeoTiff格式存储，空间分辨率为240米。对非冰川区的残差进行统计分析后可知，该数据集整体精度约为±0.7米。
本数据集可作为该区域跃动冰川研究的基础数据，亦可作为冰川动力学模型的输入参数，为冰川跃动相关研究提供统计支撑。
此外，该跃动冰川的监测结果不仅可为冰川灾害预警与风险评估领域的后续研究提供核心依据，还可为中巴经济走廊的经济社会发展提供坚实保障。