Based on the "second Qinghai Tibet Plateau comprehensive scientific investigation" and "China's soil series investigation and compilation of China's soil series" "The obtained soil survey profile data, using predictive Digital Soil Mapping paradigm, using geographic information and remote sensing technology for fine description and spatial analysis of the soil forming environment, developed adaptive depth function fitting methods, and integrated advanced ensemble machine learning methods to generate a series of soil attributes (soil organic carbon, pH value, total nitrogen, total phosphorus, total potassium, cation exchange capacity, gravel content (>2mm) in the Qinghai Tibet plateau region." , sand, silt, clay, soil texture type, unit weight, soil thickness, etc.) and quantify the spatial distribution of uncertainty. Compared with the existing soil maps, it better represents the spatial variation characteristics of soil properties in the Qinghai Tibet Plateau. The data set can provide soil information support for the study of soil, ecology, hydrology, environment, climate, biology, etc. in the Qinghai Tibet Plateau.

File naming and required software

Soil data is stored in grid layer format. The name of the file is "soil attribute + soil depth range + spatial resolution.Tif", for example, soc05_ 250m TIF is the content of soil organic carbon at the depth of 0-5cm with a resolution of 250m. The depth of soil layer is 0-20, 0-5, 5-15, 15-30, 30-60, 60-100 and 100-200cm.
The data files in the dataset are in GeoTIFF format, which can be read, displayed and operated by common GIS software such as ArcGIS and R software; Value_ Actual = value_ Approximate / scale_ Factor, where value_ Actual is the value of the actual scale of the pixel, value_ Apprent is the digital value of the pixel surface, that is, the downloaded layer value, scale_ Factor is the scale factor value. Different soil attributes may use different scale factor values. See the readme file.

Data Citations Data citation guideline What's data citation?

Cite as:

Liu, F., Zhang, G. (2022). Dataset of digital soil mapping products for the Qinghai-Tibet Plateau (2015-2024). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Terre.tpdc.272482. CSTR: 18406.11.Terre.tpdc.272482. (Download the reference： RIS | Bibtex )

Related Literatures:

1. Liu F, Wu H, Zhao Y, Li D, Yang J-L, Song X, Shi Z, Zhu A-X, Zhang G-L. Mapping high resolution National Soil Information Grids of China. Science Bulletin, 2022, 67(3): 328-340.( View Details | Download | Bibtex)

2. Liu, F., Zhang, G.L., Song, X.D., Li, D.C., Zhao, Y.G., Yang, J.L., Wu, H.Y., & Yang, F. (2020). High-resolution and three-dimensional mapping of soil texture of China. Geoderma, 361, 114061.( View Details | Download | Bibtex)

Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.

Support Program

Soil Series Inventory Survey and Compilation of “Soil Series of China” （Midwest Volume） (No:2014FY110200)

Soil Series Inventory Survey and Compilation of “Soil Series of China” (No:2008FY110600)

The 2nd Comprehensive Scientific Survey of the Qinghai-Tibet Plateau (No:2019QZKK0306)

Copyright & License

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License： This work is licensed under an Attribution 4.0 International (CC BY 4.0)