Soil organic carbon density (0-100cm) data at 30m resolution in the Qilian Mountains
|collect time||2010/06/01 - 2020/09/30|
|collect place||Qilian Mountain and its surrounding areas|
|altitude||900.0m - 5500.0m|
|data size||7.9 GiB|
A total of 973 soil sampling points in the Qilian Mountains and surrounding areas were used to produce this dataset, 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.
A framework of tile-based and parallel computing mapping is constructed in R. The modelling is repeated by the bootstrap method, and the spatial modelling is performed for each bootstrap sample to obtain the frequency distribution of the modelling results, with the modelling uncertainty expressed as standard deviation (sd).
30 times 10-fold cross-validation showed that the RMSE and R2 of the model were 6.26 kg/m2 and 0.75 respectively.The final product is divided into 33 sub-regions (regions), mean and sd representing the mean and standard deviation of 30 modeling repetitions, respectively, in kg/m2, indicating the mass of soil organic carbon per unit area in the 0-100 cm soil layer, each sub-region is combined to obtain the mean (mean) and standard deviation (sd) of soil organic carbon density for the whole Qilian Mountains region, with a resolution of 10m, data volume 72.40GB, resampled to 30m using the bilinear method, data volume 7.86GB.
|1||42201133||National Natural Science Foundation of China|
|1||Soil organic carbon density (0-100cm) data at 90m resolution in the Qilian Mountains|
|2||Soil organic carbon density (0-100cm) data at 30m resolution in northwest China|
|3||Soil organic carbon density (0-100cm) data at 10m resolution in the Qilian Mountains|
|4||90m resolution soil organic carbon density (0-100cm) data in northwest China|
|5||Soil organic carbon density (0~100cm) data at 250m and above resolution in Qilian Mountains|
|6||High-resolution soil organic carbon density (0-100cm) data of Qilian Shan National Park|
|7||Soil organic carbon density (0~100cm) data with resolution of 250m and above in northwest China|
|8||30m grid data of 0-100cm soil organic carbon density in Qilian Mountains|
|10||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|
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