High-resolution soil organic carbon density (0-100cm) data of Qilian Shan National Park
|2010/06/01 - 2020/09/30
|Qilian Mountain National Park
|900.0m - 5500.0m
This dataset is clipped from the Northwest China soil organic carbon density dataset and a total of 1,490 sampling points of actual soil measurements in the Northwest China were used to produce the product, with the following main sources of data:
Projects undertaken by this research team：
The National Natural Science Foundation of China (NSFC) project "Research on the variation pattern and mechanism of soil organic carbon along the gradient in Qilian Mountain" (41771252), "Investigation of Ecohydrological Sample Strips in the Heihe River Basin" (91025002)、"Soil Carbon Simulation in Typical Ecosystems of Arid Inland River Basins" (31270482); Major Project in Gansu Province: "Research on the Interaction between Ecosystems and Hydrological Processes in Qilian Mountains and Their Adaptation to Climate Change" (18JR4RA002), The Science and Technology Innovation Project of Gansu Provincial Forestry and Grassland Bureau, "Research on Ecological Management Effectiveness Assessment of Qilian Mountain National Park (Gansu Area)" (GYCX01), Gansu Provincial Science and Technology Plan Funding Project "Gansu Qilian Mountain Ecological Environment Research Centre" ( 18JR2RA026) and other project data.
Raw Soil Profile Data, Literature Integration Data published by National Cryosphere Desert Data Centre and National Tibetan Plateau Data Center (Xu et al., 2018 DOI:10.1038/s41598-018-20764-9), WoSIS Soil Profile Database published by International Soil Reference and Information (ISRIC, https:// www.isric.org/explore/wosis), among others.
The original data were quality controlled by removing sampling points with less than 0.001 latitude and longitude positioning accuracy, and abnormal values where the soil organic carbon content deviated significantly from the environmental background.
Based on the 'Scorpan' (Soils, Climate, Organisms, Relief, Parent material, Age, Geographic position) framework, the spatial distribution of soil organic carbon density at 30m resolution in the 0-100 cm soil layer was simulated using the Digital Soil Mapping (DSM) method and a tile structure-based algorithm.
The forecasting method is mainly based on the Extreme Gradient Boosting algorithm in machine learning, with environmental covariate data including: Landsat8 OLI multispectral imagery, Sentinel-1 radar imagery, raster data such as temperature, precipitation, radiation, topography, vegetation indices, and location.
The digital soil mapping framework is constructed in R. In order to reduce memory usage and increase computing speed, the entire Qilian Mountains region is divided into 33 sub-regions (regions) of 150km×150km, and a mapping process based on tiles (tile size: 15km×15km) and parallel computing is constructed within each sub-region. The modelling is repeated by the bootstrap method for each. The spatial modelling of bootstrap samples is carried out to obtain the frequency distribution of the modelling results, and the modelling uncertainty is expressed as standard deviation (sd).
The RMSE and R2 of the model were 6.26 kg/m2 and 0.75, respectively, after 30 times of 10-fold cross-validation. The final data product was divided into 33 sub-regions (regions), with mean and sd expressing the mean and standard deviation of 30 iterations of the model using units as kg/m2, representing the mass of soil organic carbon per unit area in the 0-100 cm soil layer. The mean and standard deviation (sd) of soil organic carbon density for the whole Qilian Shan region were obtained after combining the sub-regions, with a resolution of 10m and a data volume of 72.40GB. The Qilian Shan National Park boundary was masked and resampled to 30m/90m/250m/500m/1000m using the bilinear method, with a total data volume of 13.70GB.
|National Natural Science Foundation of China
|Soil organic carbon density (0-100cm) data at 90m resolution in the Qilian Mountains
|Soil organic carbon density (0-100cm) data at 10m resolution in the Qilian Mountains
|Soil organic carbon density (0-100cm) data at 30m resolution in the Qilian Mountains
|90m resolution soil organic carbon density (0-100cm) data in northwest China
|Soil organic carbon density (0-100cm) data at 30m resolution in northwest China
|High-resolution soil organic carbon density (0-100 cm) data in the three major inland river basins (Heihe River, Shiyang River and Shule River) of the hexi area
|Soil organic carbon density (0~100cm) data at 250m and above resolution in Qilian Mountains
|Soil organic carbon density maps in the top 20 cm and 100 cm soil profile in the Qilian Mountain National Park during 2000 through 2100
|Soil organic carbon density (0~100cm) data with resolution of 250m and above in northwest China
|Grid data of soil organic carbon density with 2m resolution in Dayekou watershed of Qilian Mountains
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