2019年10月27日甘肃夏河Ms5.7地震触发了大量滑坡。全面客观地获取地震滑坡发生全景，对于理解地震滑坡宏观机制、发育强度、分布样式与规律，灾区恢复重建与滑坡防灾减灾具有重要意义。利用天、空、地相结合的手段，获取本次地震触发滑坡全景。\n
滑坡数据采用WGS-84地理坐标系。
", "ds_source": "基于谷歌地球影像人工目视解译。
", "ds_process_way": "主要加工方法：
\n（1）数据清洗，基于人工目视解译结果，导入arcgis中，进行拓扑检查，主要异常点删除和数据遗漏补充和重复去除等工作。
\n（2）结构规范化，对整理好的表格数据进行数据模型转换，依照数据模型设计规范统计内容层次及命名，修改或重新定义统计项结构的名称和数据类型，使相应的统计型数据存储在规范化的关系型数据库中。
", "ds_quality": "数据质量良好，已借助软件进行拓扑检查。
", "ds_acq_start_time": "2019-10-27 00:00:00", "ds_acq_end_time": "2019-10-28 00:00:00", "ds_acq_place": "甘肃夏河灾区", "ds_acq_lon_east": 102.96388888888889, "ds_acq_lat_south": 34.94027777777777, "ds_acq_lon_west": 102.45583333333333, "ds_acq_lat_north": 35.29694444444444, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 17319066, "ds_files_count": 8, "ds_format": "shp", "ds_space_res": null, "ds_time_res": "", "ds_coordinate": "WGS84", "ds_projection": "UTM", "ds_thumbnail": "480c48cf-3970-43d1-b0ed-db8df6fc5eac.jpg", "ds_thumb_from": 0, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "3e397ebe-36ab-4e95-9b1b-dfce93031c18", "ds_serv_man": "敏玉芳", "ds_serv_phone": "0931-4967596", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "10.12072/ncdc.LANDSLIDE.db2066.2022", "subject_codes": [ "170.4510" ], "quality_level": 3, "publish_time": "2022-04-20 09:30:30", "last_updated": "2025-05-28 11:59:39", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.LANDSLIDE.db2066.2022", "i18n": { "en": { "title": "Distribution Map of Landslide Data from the Ms5.7 Earthquake on October 27, 2019, in Xiahe County, Gansu Province", "ds_format": "shp", "ds_source": "Based on manual visual interpretation of Google Earth imagery.
", "ds_quality": "The data quality is good, and a topology check has been conducted using software.
", "ds_ref_way": "", "ds_abstract": "On October 27, 2019, a Ms5.7 earthquake in Xiahe County, Gansu Province triggered a large number of landslides. Obtaining a comprehensive and objective panorama of the earthquake-triggered landslides is of great significance for understanding the macroscopic mechanisms, developmental intensity, distribution patterns and laws of earthquake-triggered landslides, as well as for disaster recovery and reconstruction and landslide prevention and mitigation in the affected areas. By utilizing a combination of space-based, aerial, and ground-based methods, the full panorama of landslides triggered by this earthquake was obtained.\n
The landslide data adopts the WGS-84 geographic coordinate system.
", "ds_time_res": "", "ds_acq_place": "Xiahe disaster area in Gansu Province", "ds_space_res": "", "ds_projection": "UTM", "ds_process_way": "Main Processing Methods:
\n（1）Data Cleaning: Based on the results of manual visual interpretation, the data is imported into ArcGIS for topology checking. This involves deleting major anomalies, supplementing missing data, and removing duplicates.
\n（2）Structural Standardization: The organized tabular data undergoes data model conversion. According to the design specifications of the data model, the content hierarchy and naming are standardized. The names and data types of the statistical item structures are modified or redefined, ensuring that the corresponding statistical data is stored in a standardized relational database.
", "ds_ref_instruction": "" } }, "submit_center_id": "ncdc", "data_level": 0, "license_type": "CC BY 4.0", "doi_reg_from": "reg_local", "cstr_reg_from": "reg_local", "doi_not_reg_reason": null, "cstr_not_reg_reason": null, "ds_topic_tags": [ "地震滑坡", "发育强度", "夏河地震" ], "ds_subject_tags": [ "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "甘肃夏河灾区" ], "ds_time_tags": [ 2019 ], "ds_contributors": [ { "true_name": "许冲", "email": "xc11111111@126.com", "work_for": "中国地震局地质研究所", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "邵霄怡", "email": "529674420@qq.com", "work_for": "中国地震局地质研究所", "country": "中国" } ], "ds_managers": [ { "true_name": "敏玉芳", "email": "myf@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" } ], "category": "灾害" }