TY  - Data
T1  - 30m Permafrost Thickness Map of Kamalan River Basin in Dongpo Tahe Area of Daxing'anling Mountains (2023-2024)
A1  - Zang Shuying
DO  - 10.12072/ncdc.nieer.db7243.2026
PY  - 2026
DA  - 2026-03-31
PB  - National Cryosphere Desert Data Center
AB  - This dataset is a spatial raster data of permafrost thickness in the Kamalan River Basin of the Dongpo Tahe area in the Greater Khingan Range of Northeast China. The grid unit values represent the permafrost thickness (unit: m). The dataset is based on the measured ground temperature data obtained from on-site mechanical/manual drilling and exploration pits in the research area, and integrates multi-source environmental spatial datasets such as climate, soil, and terrain obtained from the Google Earth Engine (GEE) platform and authoritative data sources as model prediction variables. By using Python and ArcGIS to complete the preprocessing process of environmental factor format conversion, WGS84 coordinate system spatial registration, target resolution resampling, and normalization, based on three core factors: terrain (elevation, slope, aspect, terrain undulation, terrain humidity index, terrain position index, etc.), soil (soil texture, land cover, bedrock burial depth), and meteorology (temperature, precipitation, freeze-thaw index), the geothermal gradient model, environmental similarity model, and random forest algorithm are comprehensively used to invert and generate the spatial distribution products of permafrost thickness at the scale of the study area. To ensure data reliability, a five fold cross validation was used to evaluate the prediction accuracy of the random forest model, and ArcGIS was used for raster data visualization verification and spatial logic analysis to ensure that the spatial distribution of permafrost thickness conforms to the regional permafrost distribution pattern and has no significant outliers. This dataset can provide key basic data support for simulating hydrological processes, ecological environment assessment, and engineering construction planning in cold regions.
DB  - NCDC
UR  - http://www.ncdc.ac.cn/portal/metadata/09610a8a-e49d-484b-b1e5-bf33429ed642
ER  -