Seasonal supraglacial pond inventory at five study sites across Hindu Kush, Karakoram and Himalaya during 2017-22

This datasets include the seasonal maps of supraglacial ponds at five study sites (Hindu Kush, Karakoram, western Himalaya, central Himalaya and eastern Himalaya) during 2017-22 of Contrasting Distribution and Evolution of Supraglacial Ponds in the Hindu Kush Karakoram Himalaya Revealed by PlanetScope Imagery and Deep Learning submitted to Remote Sensing of Environment<em> </em>by Xu et al. The data is structured as follows: Once unzipped the data within the archive are five folders structured as follows: subfolder "Hindu Kush", "Karakoram", "Western Himalaya", "Central Himalaya" and "Eastern Himalaya", each subfolder includes shape files of seasonal inventory of supraglacial ponds delineated by deep learning and manual refinement.本数据集涵盖2017至2022年期间五个研究区域——兴都库什（Hindu Kush）、喀喇昆仑（Karakoram）、西喜马拉雅（western Himalaya）、中喜马拉雅（central Himalaya）与东喜马拉雅（eastern Himalaya）的冰面湖（supraglacial ponds）季节分布图，相关研究为Xu等人提交至《环境遥感（Remote Sensing of Environment）》的论文《基于PlanetScope影像与深度学习揭示的兴都库什-喀喇昆仑-喜马拉雅地区冰面湖分布与演化差异（Contrasting Distribution and Evolution of Supraglacial Ponds in the Hindu Kush Karakoram Himalaya Revealed by PlanetScope Imagery and Deep Learning）》。数据组织形式如下：解压压缩包后，存档内部包含五个子文件夹，分别命名为"兴都库什"、"喀喇昆仑"、"西喜马拉雅"、"中喜马拉雅"与"东喜马拉雅"；每个子文件夹均包含经深度学习勾勒并经人工修正的冰面湖季节清查形状文件（shape files）。