The Ms6.4 earthquake in Menyuan on January 20, 2016 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 these 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.
The landslide data adopts the WGS-84 geographic coordinate system.
Based on manual visual interpretation of Google Earth imagery.
Main Processing Methods:
（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.
（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.
The data quality is good, and a topology check has been conducted using software.
| # | number | name | type |
| 1 | 2018YFC1504703 | Research on instability mechanism, prevention and control methods and prevention demonstration of loess landslides | National key R & D plan |
This work is licensed under
CC BY 4.0 (Creative Commons Attribution 4.0 International License).
CSTR:11738.11.ncdc.LANDSLIDE.db2075.2022
10.12072/ncdc.LANDSLIDE.db2075.2022
