This dataset is the result of a special investigation on engineering freeze-thaw disasters conducted in the permafrost regions of Northeast China (including the Greater and Lesser Khingan Mountains and surrounding key corridors). The dataset uses a 30 meter high-resolution grid as the carrier to finely depict the spatial distribution of six typical freezing damages, including hot melt lakes and ponds, road surface settlement, cracks, freeze-thaw erosion, ice cones, and water damage. This data integrates field observation data and remote sensing inversion indicators, revealing the impact of anthropogenic thermal disturbances (roadbed heat absorption, pipeline heat dissipation) on permafrost degradation and disease accumulation in engineering corridors. The data can provide core base map support for the maintenance, disaster warning, and cold region engineering planning of linear projects in permafrost regions such as G111, G331, China Russia crude oil pipelines, and Nenlin Railway.
Based on prior knowledge of field monitoring points, combined with high-resolution remote sensing images (Landsat 8/Sentinel-2/high-resolution series) and factors such as terrain slope, aspect, NDVI, etc.
Field investigation: Conduct on-site fixed-point observations on key sections such as the Mohe Hub section, the Genhe Ituli River wet section, and the overlapping section of the Xinlin oil pipeline, recording the coordinates, scale, and characteristic descriptions of the diseases.
Spatial clustering: Analyze the distribution tendency of frost damage in different climate zones (high latitude continuous zone vs. southern boundary edge zone).
Human disturbance simulation: Evaluate the driving force of changes in the upper limit of frozen soil below the roadbed on road settlement and the development of thermal melting lakes and ponds, based on the heat absorption effect of G111 black asphalt pavement and the active heat source of CRCOP pipeline.
Topic extraction: Capture roadbed slopes and micro terrain landscapes based on a 30 meter resolution to form the final frost damage type map.
(1) Data accuracy and collection method: The core data of the resource comes from targeted field surveys conducted from August to October 2023, March and August 2024, covering the peak melting period in summer and the initial freezing period in winter. We collected information on 23 typical disaster sites located along multiple trunk highways such as G111, G301, G331, and G332, as well as along the China Russia crude oil pipeline and railway corridor.
(2) Instrumentation and specifications: Handheld electronic probe thermometers were used on site to accurately measure the ground temperature at a depth of 1.5 meters. High precision RTK (real-time dynamic carrier phase difference technology) was used to locate the location of frost damage, and unmanned aerial vehicle (UAV) near ground photogrammetry technology was combined with ground electrical exploration to characterize the underground ice phase transition and permafrost degradation status.
(3) Processing model: Using a partition clustering analysis model, qualitative field observation features (such as crack width, wavy undulations, ice burial, and structural erosion) are quantitatively integrated.
(4) Scope of application and verification: The resource quality has been verified by multiple geographical environments from the Mohe Hub to the sensitive area at the southern boundary (Jiagedaqi South/Jinsong section). Suitable for research on infrastructure planning and construction in permafrost regions, prevention and early warning of highway subgrade diseases, safety monitoring of the China Russia energy corridor, and assessment of environmental changes in cold regions.
| # | 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.DB7260.2026
10.12072/ncdc.nieer.db7260.2026
