1) The data includes the soil erosion modulus of 18 watersheds with a resolution of 5 m in the year of 2017 in Thailand. 2) Based on the surface layer of rainfall erosivity R, soil erodibility K, slope length factor LS, vegetation coverage FVC, and rotation sampling survey unit, the Chinese soil erosion model (CSLE) was used to calculate soil erosin modulus in 18 watersheds of Thailand respectively. Through spatial data processing (including chart linking and transformation, vector-grid conversion, and resampling), R, K, LS factors were calculated from the regional thematic map of rainfall erosivity, soil erodibility, and DEM. By half-month FVC, NPV, half-month rainfall erosivity data, we calculated the value of B factors in each sampling watershed. The value of E factor was calculated based on the remote sensing interpretation result and engineering measure factor table. The value of tillage factor T was obtained from tillage zoning map and tillage measure table. And then the soil erosion modulus in each sampling watershed was calculated by the equation: A=R•K•LS•B•E•T. The selection of 18 watersheds was based on the layout of sampling survey in pan-third polar region. 3) Compared with the data of soil erosion intensity in the same region in the same year, there is no significant difference and the data quality is good.4) the data of soil erosion intensity is of great significance for studying the present situation of soil erosion in Pan third polar region and better implementation of the development policy of the Silk Road Economic Belt and the 21st-Century Maritime Silk Road.

File naming and required software

XDA200402021-CSLE_ATHA02.tif represents the soil erosion modulus, of which, XDA20040202 is the subproject number, 1 is the group number of the subproject, CSLE is the Chinese soil erosion model, A represents the soil erosion modulus, and THA02 represents the number of the selected watersheds. The raster data format can be opened by ArcGIS, ENVI, ERDAS and other software.

Data Citations Data citation guideline What's data citation?

Cite as:

Yang, Q. (2019). Dataset of soil water erosion modulus with 5 m resolution in 18 watersheds of Thailand (2018). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Disas.tpdc.270228. CSTR: 18406.11.Disas.tpdc.270228. (Download the reference： RIS | Bibtex )

Related Literatures:

1. Liu, B.Y., Guo, S.Y., Li, Z.G., Xie, Y., Zhang, K.L., Liu, X.C., (2013). Sampling program of water erosion inventory of China. Science of Soil and Water Conservation, 10(1), 77-81.( View Details | Bibtex)

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

Support Program

Pan-Third Pole Environment Study for a Green Silk Road-A CAS Strategic Priority A Program (No:XDA20000000)

Copyright & License

To respect the intellectual property rights, protect the rights of data authors, expand services of the data center, and evaluate the application potential of data, data users should clearly indicate the source of the data and the author of the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results). For re-posting (second or multiple releases) data, the author must also indicate the source of the original data.

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