Global Soil Texture Datasets Optimized from Satellite-Observed Wilting Point
The optimized soil texture data is provided in NetCDF format, with convention defined as "Optimized scheme - Baseline soil texture data - PedotransferFunction scheme". For example, the name "global_optimized_GSDE_Soilcomp_NOC.nc" refers to the soil texture data optimized by non-organic matter PedotransferFunction based on the GSDE data soil dataset.
Data information reading method:
There are four variables in each NC file: soilcomp is the soil texture data, wth three dimensions (1440*600*n), where n=2 (only sand and clay) or 3 (sand, clay and organic matter) is the number of soil texture components. Lon and lat are longitude and latitude. Since the remote sensing data can have large uncertainty in some areas (such as dense vegetation area, permafrost area, etc.), this data also provides the quality control variable (QC_ Flag). Qc_ Flag=1 indicates that the data has low uncertainty and can be used and analyzed directly; qc_ Flag=nan indicates large data uncertainty, therefore, cautions should be addressed when conducting analysis in these areas.
To read the NC format files, MATLAB and other similar software are recommended. For more information about NetCDF, see http://www.unidata.ucar.edu/software/netcdf
He, Q., Lu, H., Zhou, J., Yang, K., Shi, J. (2022). Global Soil Texture Datasets Optimized from Satellite-Observed Wilting Point. National Tibetan Plateau Data Center, DOI: 10.11888/Terre.tpdc.272484. CSTR: 18406.11.Terre.tpdc.272484. (Download the reference： RIS | Bibtex )
Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.
Second Tibetan Plateau Scientific Expedition Program
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