数据集包含两个核心实体：冰湖接触冰川（2022年共1740条）和冰前湖（2022年共1768个），每个实体均按冰川-湖泊接触状态变化划分为三种动态类型：持续接触型、新生型和脱离接触型。每个冰川和湖泊均包含唯一标识、空间位置、面积、所属山脉及面积不确定性等完整属性字段。通过提供冰川与冰前湖的空间分布、面积变化及接触状态转变等多维信息，本数据集完整揭示了1990-2022年间高亚洲地区冰川-湖泊系统的演变过程，为研究该地区冰川变化、水资源评估和冰湖溃决洪水风险提供了权威基础数据。", "ds_source": "
数据来源 https://zenodo.org/records/17369580 。", "ds_process_way": "
本数据集采用半自动化与人工验证相结合的方法生成。首先基于Google Earth Engine平台和Landsat影像，通过分层图像分割与地形分析算法自动提取冰前湖边界，并设定0.0036 km²的最小面积阈值。随后将提取结果与Randolph冰川清单（RGI 7.0）进行空间叠加，通过500米缓冲区分析和多源影像目视解译，严格判定冰川-湖泊接触关系，并依据冰崖、横向裂隙等形态特征进行验证。根据1990-2022年间接触状态变化，将冰川-湖泊系统划分为持续接触型、新生型和脱离接触型三类。最后采用周长-面积模型和像元边界计数法分别评估冰前湖和冰川的面积不确定性，所有面积数据均附带±误差范围，确保数据质量可控。", "ds_quality": "
本数据集通过系统的不确定性评估和交叉验证确保了数据质量。冰川与冰前湖的面积均采用标准化误差模型进行量化，其中冰川总面积相对误差为±7.24%-8.12%，冰前湖为±21.99%-23.69%，且误差与地物规模呈负相关。通过与同类研究的直接对比，本数据集与权威研究在冰前湖识别上重叠率最高可达90%，验证了数据一致性。", "ds_acq_start_time": "1990-01-01 00:00:00", "ds_acq_end_time": "2022-12-31 00:00:00", "ds_acq_place": "全球", "ds_acq_lon_east": 180.0, "ds_acq_lat_south": -90.0, "ds_acq_lon_west": -180.0, "ds_acq_lat_north": 90.0, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 30222491, "ds_files_count": 10, "ds_format": "*.csv", "ds_space_res": "", "ds_time_res": "", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "66b1bb5f-08fc-4096-8bba-42a4eebfcce5.png", "ds_thumb_from": 2, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "0a4269e1-65f4-45f1-aeba-88ea3068eebf", "ds_serv_man": "敏玉芳", "ds_serv_phone": "0931-4967596", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": [ "170.4510" ], "quality_level": 3, "publish_time": "2025-10-30 18:06:32", "last_updated": "2026-01-14 09:58:55", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.NCDC.ZENODO.DB6984.2025", "i18n": { "en": { "title": "Rapidly Changing Lake-Terminating Glaciers in High Mountain Asia: A Dataset from 1990 to 2022", "ds_format": "", "ds_source": "
Data source https://zenodo.org/records/17369580 .", "ds_quality": "
This dataset ensures data quality through systematic uncertainty assessment and cross validation. The areas of glaciers and pre glacial lakes are quantified using standardized error models, with a relative error of ± 7.24% -8.12% for the total glacier area and ± 21.99% -23.69% for the pre glacial lake area. The error is negatively correlated with the size of the land cover. Through direct comparison with similar studies, the overlap rate between this dataset and authoritative research in identifying pre glacial lakes can reach up to 90%, verifying the consistency of the data.", "ds_ref_way": "", "ds_abstract": "
The dataset consists of two core entities: glacial lake contact glaciers (1740 in 2022) and pre glacial lakes (1768 in 2022), each of which is classified into three dynamic types based on changes in glacier lake contact status: continuous contact type, neogenesis type, and detachment type. Each glacier and lake contains complete attribute fields such as unique identifier, spatial location, area, mountain range, and area uncertainty. By providing multidimensional information on the spatial distribution, area changes, and contact state transitions of glaciers and pre glacial lakes, this dataset fully reveals the evolution process of glacier lake systems in the high Asian region from 1990 to 2022, providing authoritative basic data for studying glacier changes, water resource assessment, and glacial lake outburst flood risks in the region.
", "ds_time_res": "", "ds_acq_place": "global", "ds_space_res": "", "ds_projection": "", "ds_process_way": "This dataset was generated using a combination of semi-automatic and manual validation methods. Firstly, based on the Google Earth Engine platform and Landsat imagery, the boundaries of the pre glacial lake were automatically extracted through layered image segmentation and terrain analysis algorithms, and a minimum area threshold of 0.0036 km ² was set. Subsequently, the extracted results will be spatially overlaid with the Randolph Glacier Inventory (RGI 7.0), and the glacier lake contact relationship will be strictly determined through 500 meter buffer zone analysis and multi-source image visual interpretation, and verified based on morphological features such as ice cliffs and transverse fissures. According to the changes in contact status between 1990 and 2022, glacier lake systems are classified into three types: continuous contact type, neogenesis type, and detachment type. Finally, the perimeter area model and pixel boundary counting method were used to evaluate the area uncertainty of pre glacial lakes and glaciers, respectively. All area data were accompanied by ± error ranges to ensure controllable data quality.", "ds_ref_instruction": "" } }, "submit_center_id": "ncdc", "data_level": 0, "license_type": "CC BY 4.0", "doi_reg_from": "reg_outside", "cstr_reg_from": "reg_outside", "doi_not_reg_reason": null, "cstr_not_reg_reason": null, "is_paper_in_submitting": false, "ds_topic_tags": [ "冰湖接触冰川", "冰前湖", "冰川编目" ], "ds_subject_tags": [ "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "全球" ], "ds_time_tags": [ 1990, 1991, 1992, 1993, 1994, 1995, 1996, 1997, 1998, 1999, 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022 ], "ds_contributors": [ { "true_name": "刘巧", "email": "liuqiao@imde.ac.cn", "work_for": "中国科学院、水利部成都山地灾害与环境研究所", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "刘巧", "email": "liuqiao@imde.ac.cn", "work_for": "中国科学院、水利部成都山地灾害与环境研究所", "country": "中国" } ], "ds_managers": [ { "true_name": "刘巧", "email": "liuqiao@imde.ac.cn", "work_for": "中国科学院、水利部成都山地灾害与环境研究所", "country": "中国" } ], "category": "冰川" }