This data resource includes slope and aspect terrain factor data extracted based on a 30 meter resolution digital elevation model, covering the main engineering corridors and their surrounding areas in the permafrost region of Northeast China. The dataset focuses on the control effect of terrain morphology in permafrost regions on surface processes and engineering environmental stability, providing basic terrain constraint information for identifying freeze-thaw disasters and monitoring infrastructure in cold regions.
The slope data reveals significant topographic spatial heterogeneity in the study area, presenting an overall pattern of concentrated mountainous areas and open plains. The mountainous areas of Daxing'anling and Xiaoxing'anling are mainly characterized by medium to high slope terrain, which is an important geomorphic unit for the development of permafrost and freeze-thaw disasters over the years; The terrain in the western plateau and lake basin plain areas is gentle, with slopes mostly within the low range. This data can finely characterize the geometric shape and micro topography of slopes along the engineering route, providing key terrain parameters for identifying potential slope erosion, thermal collapse, and gravity deformation sensitive areas.
The slope orientation data reflects a complex slope orientation pattern at a spatial scale of 30 meters, which can characterize the typical slope radiation differential environment in permafrost regions. There are significant differences in the solar radiation reception conditions corresponding to different slope orientations, which in turn affect the background of surface heat exchange. This data helps to describe the characteristics of thermal environment differentiation on the uphill surface at the regional scale, providing important auxiliary information for analyzing the differences in frozen soil stability on both sides of the project and the spatial distribution of disasters.
Independently processed (based on publicly available high-resolution DEM images).
Data extraction: Using terrain analysis modules such as ArcGIS/QGIS, the third-order inverse sum of squares weight algorithm (Horn algorithm) is used to calculate the height difference between each central pixel and its neighboring pixels.
Slope calculation: Extract the maximum ground slope angle of each pixel, accurately identify the core area of the Daxing'an Mountains main vein at 13 ° -20 °, and locally steep slopes exceeding 60 °.
Slope calculation: Calculate the azimuth angle of the horizontal projection direction, used to analyze the "yin-yang slope" effect.
Projection conversion: To reduce the area deformation in high latitude regions, it is uniformly converted to Albers equal area cone projection.
The basic digital elevation model (DEM) used in this dataset is derived from the Shuttle Radar Topography Mission (SRTM). The spatial resolution of the data is 1 arc second (approximately 30 meters), the elevation reference is the WGS84 ellipsoid, and the vertical reference is the EGM96 geoid.
In this study, DEM data was processed through the following process: bilinear interpolation resampling method was used to unify it into a 30m spatial resolution grid; Calculate slope and aspect parameters based on GIS terrain analysis module, with slope unit in degrees (°) and aspect represented by clockwise azimuth angles ranging from 0 ° to 360 °; All raster data is uniformly projected onto the WGS 84/UTM Zone 52N coordinate system to ensure spatial consistency.
| # | number | name | type |
| 1 | 2022FY100700 | Survey of Permafrost Conditions and Freeze-Thaw Damage in the High-Latitude Regions of Northeast China | Basic Resource Survey Project |
This work is licensed under
CC BY 4.0 (Creative Commons Attribution 4.0 International License).
CSTR:11738.11.NCDC.NIEER.DB7258.2026
10.12072/ncdc.nieer.db7258.2026
