This dataset provides land use/cover data (LULC) with a resolution of 30 meters in the permafrost region of Northeast China from 2000 to 2020. The data truly reflects the macro spatial pattern of the region, with forests as the ecological core, grasslands and cultivated land distributed east-west, and wetland systems interwoven vertically and horizontally. The large and small Xing'an Mountains form a continuous forest body; The western Hulunbuir High Plain is dominated by vast grasslands; Farmland is fragmented and distributed on the southern edge and river valley plains. Special records were made on the segmentation of natural cover by the engineering corridor composed of linear engineering projects such as the China Russia crude oil pipeline CRCOPs I&II, G111/G301/G331 highways, and the Nenlin/Binzhou railways. This data provides key foundational cover parameters for analyzing the hydrothermal stability of engineering corridors and the environmental effects of permafrost degradation over the years.
Independently processed (based on publicly available land use data).
Sample construction: Use the existing land cover sample library combined with high-resolution images to select validation points.
Classification features: Extract spectral, texture, and topographic features from Landsat surface reflectance data.
Algorithm execution: Run the classification model on GEE to generate primary annual products.
Post processing: Apply spatiotemporal filtering algorithms and logical reasoning to eliminate "classification jitter" errors in time series, ensuring logical consistency of land use change.
(1) Model method: Machine learning classification algorithm combined with time-series stable samples was used for classification, and post-processing optimization was carried out for the complex wetlands and human interference patches in the cold region of Northeast China, ensuring the consistency of land classification conversion logic.
(2) Resource collection: The resource collection standards strictly follow the Landsat 5/7/8 remote sensing mapping specifications, with spatial resolution accurate to 30 meters and a time series span of 21 years.
(3) Scope of application: This resource has excellent spatial detail expression, especially suitable for reflecting the impact of linear engineering (pipelines, highways, railways) on natural surface cutting in permafrost regions. It is suitable for simulating climate evolution in cold regions, evaluating ecological environments, and researching geological disaster warning.
| # | 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.DB7259.2026
10.12072/ncdc.nieer.db7259.2026
