本数据集基于多时相高分辨率遥感影像目视解译结果，并结合野外调查及历史资料，构建了藏东南地区雪崩空间分布及隐患点属性信息。数据包括雪崩空间分布矢量数据及其属性信息，以及典型雪崩隐患点数据。雪崩空间分布数据覆盖1972–2024年，通过人工目视解译获得，记录雪崩形态及几何特征；隐患点数据基于2021–2025年野外调查、历史档案及文献整理获得，包含雪崩类型、地形特征及影响对象等属性信息。本数据集可用于雪崩空间分布特征分析、灾害调查、风险识别及模型验证。", "ds_source": "
雪崩空间分布数据来源于多时相高分辨率遥感影像，通过人工目视解译获得；隐患点数据来源于2021–2025年野外调查。", "ds_process_way": "
（1）对多源遥感影像进行预处理及正射校正；（2）基于影像形态、纹理及光谱特征进行人工目视解译，提取雪崩空间分布范围；（3）在GIS平台（ArcGIS 10.8）中构建矢量数据，并提取面积、长度、坡度等属性信息；（4）隐患点数据通过野外调查记录并进行属性整理与空间定位。", "ds_quality": "
采用双人独立解译方式，并在约10%的样区开展一致性检验，Kappa系数为0.82，表明解译结果具有较好一致性。隐患点数据通过多源资料交叉验证，提高数据可靠性。", "ds_acq_start_time": "1972-01-01 00:00:00", "ds_acq_end_time": "2025-12-31 00:00:00", "ds_acq_place": "藏东南地区", "ds_acq_lon_east": 98.72, "ds_acq_lat_south": 27.110000000000003, "ds_acq_lon_west": 92.21000000000001, "ds_acq_lat_north": 31.16, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 928521461, "ds_files_count": 15, "ds_format": "*.shp", "ds_space_res": "", "ds_time_res": "", "ds_coordinate": "CGCS2000", "ds_projection": "", "ds_thumbnail": "b93e197b-5364-4c90-95e3-1519136de588.png", "ds_thumb_from": 2, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "52b7b79b-860c-49a5-9083-9a70cf8bed5a", "ds_serv_man": "李红星", "ds_serv_phone": "0931-4967592", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": [ "170.4510", "170.50" ], "quality_level": 0, "publish_time": "2026-03-27 09:46:19", "last_updated": "2026-04-14 12:50:26", "protected": false, "protected_to": "2028-03-23 00:00:00", "lang": "zh", "cstr": "11738.11.NCDC.SNOW.DB7231.2026", "i18n": { "en": { "title": "Southeast Tibet Avalanche Inventory Dataset", "ds_format": "*.shp", "ds_source": "
The avalanche inventory data are derived from multi-temporal high-resolution remote sensing imagery through manual visual interpretation；The hazard point data are obtained from field investigations conducted during 2021–2025.", "ds_quality": "
A dual-operator independent interpretation approach was adopted, and consistency validation was conducted in approximately 10% of the study area, yielding a Kappa coefficient of 0.82, indicating good agreement in interpretation results. Hazard point data were cross-validated using multiple data sources to improve reliability.", "ds_ref_way": "", "ds_abstract": "
This dataset is developed based on visual interpretation of multi-temporal high-resolution remote sensing imagery, combined with field investigations and historical records, to construct avalanche spatial distribution and hazard point attribute information in Southeast Tibet. The dataset includes avalanche inventory vector data and their attributes, as well as typical avalanche hazard point data. The avalanche inventory covers the period 1972–2024 and is derived from manual visual interpretation, recording avalanche morphology and geometric characteristics. The hazard point data are based on field investigations conducted during 2021–2025, supplemented by historical archives and literature, including attributes such as avalanche type, terrain characteristics, and affected objects. This dataset can be used for avalanche spatial distribution analysis, disaster investigation, risk identification, and model validation.", "ds_time_res": "", "ds_acq_place": "Southeast Tibet", "ds_space_res": "", "ds_projection": "", "ds_process_way": "
(1) Multi-source remote sensing images were preprocessed and orthorectified; (2) avalanche extents were extracted through manual visual interpretation based on image morphology, texture, and spectral characteristics; (3) vector data were constructed in a GIS platform (ArcGIS 10.8), and attributes such as area, length, and slope were derived; (4) hazard point data were recorded through field investigations and organized with attribute information and spatial location.", "ds_ref_instruction": "" } }, "submit_center_id": "ncdc", "data_level": 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, "ds_topic_tags": [ "雪崩空间分布", "藏东南", "隐患点" ], "ds_subject_tags": [ "地质学", "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "中国", "藏东南" ], "ds_time_tags": [ 1972, 1973, 1974, 1975, 1976, 1977, 1978, 1979, 1980, 1981, 1982, 1983, 1984, 1985, 1986, 1987, 1988, 1989, 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, 2023, 2024, 2025 ], "ds_contributors": [ { "true_name": "郝建盛", "email": "haojainsheng14@mails.ucas.ac.cn", "work_for": "1.中国科学院新疆生态与地理研究所 2.中国科学院地理科学与资源研究所", "country": "中国" }, { "true_name": "付晓茜", "email": "fuxiaoqian24@mails.ucas.ac.cn", "work_for": "中国科学院地理科学与资源研究所", "country": "中国" }, { "true_name": "王岩", "email": "wangy2021@igsnrr.ac.cn", "work_for": "中国科学院地理科学与资源研究所", "country": "中国" }, { "true_name": "陈国庆", "email": "chenguoqing23@mails.ucas.ac.cn", "work_for": "中国科学院地理科学与资源研究所", "country": "中国" }, { "true_name": "朱宏", "email": "zhuhong1219@igsnrr.ac.cn", "work_for": "中国科学院地理科学与资源研究所", "country": "中国" }, { "true_name": "李朝月", "email": "licy.20b@igsnrr.ac.cn", "work_for": "中国科学院地理科学与资源研究所", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "付晓茜", "email": "fuxiaoqian24@mails.ucas.ac.cn", "work_for": "中国科学院地理科学与资源研究所", "country": "中国" } ], "ds_managers": [ { "true_name": "郝建盛", "email": "haojainsheng14@mails.ucas.ac.cn", "work_for": "1.中国科学院新疆生态与地理研究所 2.中国科学院地理科学与资源研究所", "country": "中国" } ], "category": "灾害" }