本数据集的研究区位于喀喇昆仑山脉，数据时间范围为2021年，所选遥感影像均清晰、云量较少。样本筛选过程中结合了谷歌高清影像，对冰面表碛覆盖程度、冰川形态等参数进行了充分考量，保证了数据的代表性与科学性。空间分布方面，样本覆盖了喀喇昆仑山脉的主要子流域，且部分冰川周边普遍伴有冰湖，有助于提升区域冰湖溃决风险预测的准确性。此外，样本还覆盖了受西风环流主导和受印度季风边缘影响的不同气候区。综上，所选数据样本确保了区域地理和气候代表性。\n
数据集包含54条冰川的矢量格式文件（Shapefile）和1份word文件。54条冰川Shapefile文件根据面积分为三类：29条小于等于10平方公里的冰川（UN10_Glacier_2021），19条大于10且小于50平方公里的冰川（UN10_UP50_Glacier_2021），以及6条大于等于50平方公里的冰川（UP50_Glacier_2021）。每个矢量文件包含\"FID\"、\"RGIID\"、\"GLIMSID\"、\"Cen_Lon\"、\"Cen_Lat\"、\"01Region\"、\"02Region\"、\"Shape_Area\"、\"Shape_Per\"、\"Glc_Name\"、\"Compiler\"共11项属性信息。Word给出了2021年Sentinel 2遥感影像数据源信息、冰川面积及其不确定性等。数据投影方式采用Asia North Albers Equal Area Conic投影，中心经纬度为105°，第一、第二标准纬线分别为25°和47°。数据结果显示，所选冰川均表现前进状态，冰川面积介于1至182平方公里之间，面积不确定性控制在±0.00至±0.09平方公里，表明所得数据具有较高的精度和准确性，有效地保障了冰川面积数据的可靠性。数据以“Name_Year”格式保存，例如“UN10_UP50_Glacier_2021”表示2021年采集的10-50平方公里冰川矢量数据。数据相关论文详见冰川冻土期刊上发表的文章《喀喇昆仑无表碛覆盖型冰川变化及其影响因子研究》（http://www.bcdt.ac.cn/CN/10.7522/j.issn.1000-0240.2026.0002）", "ds_source": "", "ds_process_way": "", "ds_quality": "", "ds_acq_start_time": "2021-01-01 00:00:00", "ds_acq_end_time": "2021-01-01 00:00:00", "ds_acq_place": "喀喇昆仑山脉", "ds_acq_lon_east": 72.43333333333334, "ds_acq_lat_south": 35.330000000000005, "ds_acq_lon_west": 79.60555555555555, "ds_acq_lat_north": null, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "open-access", "ds_total_size": 1059543, "ds_files_count": 0, "ds_format": "*.shp", "ds_space_res": "10m", "ds_time_res": "", "ds_coordinate": "无", "ds_projection": "Asia North Albers Equal Area Conic", "ds_thumbnail": "bf1a17db-7ac2-42c1-89a1-00d8319b88bb.png", "ds_thumb_from": 0, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "52b7b79b-860c-49a5-9083-9a70cf8bed5a", "ds_serv_man": null, "ds_serv_phone": null, "ds_serv_mail": null, "doi_value": "", "subject_codes": [ "170" ], "quality_level": 0, "publish_time": "2026-06-01 10:12:37", "last_updated": "2026-06-01 10:12:47", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.glacier.db7433.2026", "i18n": { "en": { "title": "Karakoram Non-Debris-Covered Glacier Area Dataset (2021)", "ds_format": "*.shp", "ds_source": "", "ds_quality": "", "ds_ref_way": "", "ds_abstract": "
The research area of this dataset is located in the Karakoram Mountains, and the data time range is 2021. The selected remote sensing images are all clear and have less cloud cover. Google high-definition images were combined during the sample screening process, and parameters such as moraine coverage on the ice surface and glacier shape were fully considered to ensure the representativeness and scientific nature of the data. In terms of spatial distribution, the samples cover the main sub-basins of the Karakoram Mountains, and glaciers are generally surrounded by glacial lakes. Therefore, the glacier change results obtained help improve the accuracy of glacial lake burst risk prediction and ensure geographical representation. In addition, the data also covers different climatic areas dominated by the westerly circulation and influenced by the Indian monsoon edge.
The dataset contains vector format files (Shapefiles) of 54 glaciers and an Excel sheet. The 54 glacier Shapefiles are divided into three categories based on their area: 31 glaciers smaller than or equal to 10 square kilometers (UN10_Glacier_2021), 18 glaciers larger than 10 and smaller than 50 square kilometers (UN10_UP50_Glacier_2021), and 5 glaciers larger than or equal to 50 square kilometers (UP50_Glacier_2021). Each vector file contains a total of 11 attribute information, including \"FID\",\"RGIID\",\"GLIMSID\",\"Cen_Lon\",\"Cen_Lat\",\"01Region\",\"02Region\",\"Shape_Area\",\"Shape_Per\",\"Glc_Name\", and \"Compiler\". The Excel sheet records data source remote sensing image information, glacier area and its uncertainty. The data projection method adopts Asia North Albers Equal Area Conic projection, with a central latitude and longitude of 105°, and the first and second standard latitudes of 25° and 47° respectively. The research results show that the glacier area is between 1 and 182 square kilometers, and the area uncertainty is controlled between ±0.00 and ±0.09 square kilometers, indicating that the data obtained in this study has high accuracy and accuracy, effectively ensuring the reliability of glacier area data. The data is saved in the \"Name_Year\" format. For example,\"UN10_UP50_Glacier_2021\" represents vector data of 10-50 square kilometers of glaciers collected in 2021.", "ds_time_res": "", "ds_acq_place": "Karakoram mountains", "ds_space_res": "", "ds_projection": "", "ds_process_way": "", "ds_ref_instruction": "" } }, "submit_center_id": "ncdc", "data_level": 0, "recommendation_value": 0, "license_type": "https://creativecommons.org/licenses/by/4.0/", "doi_reg_from": "reg_local", "cstr_reg_from": "reg_local", "doi_not_reg_reason": null, "cstr_not_reg_reason": null, "is_paper_in_submitting": false, "belong_to_nieer": false, "ds_topic_tags": [ "冰川面积", "无表碛覆盖型冰川", "喀喇昆仑山脉" ], "ds_subject_tags": [ "地球科学" ], "ds_class_tags": [], "ds_locus_tags": [ "喀喇昆仑山脉" ], "ds_time_tags": [ 2021 ], "ds_contributors": [ { "true_name": "拉巴卓玛", "email": "2900439597@qq.com", "work_for": "西藏自治区气象局高原生态与农业气象中心", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "拉巴卓玛", "email": "2900439597@qq.com", "work_for": "西藏自治区气象局高原生态与农业气象中心", "country": "中国" } ], "ds_managers": [ { "true_name": "拉巴卓玛", "email": "lhakdron@126.com", "work_for": "西藏自治区气象局高原生态与农业气象中心", "country": "中国" } ], "category": "冰川" }