泰国18个小流域5米分辨率土壤水蚀模数数据集（2018）

1)数据内容包括泰国18个小流域5米分辨率2017年的土壤水蚀模数数据。2）采用中国土壤侵蚀模型CSLE (A=R•K•LS•B•E•T)方法，在面图层降雨侵蚀力R、土壤可蚀性K、坡度坡长因子LS、植被盖度FVC、轮作分区抽样调查单元的基础上，分别计算40个抽样单元土壤水蚀模数，评估土壤侵蚀状况。通过空间数据运算（包括图表链接及转换、矢栅转换、重采样等），将区域专题图降雨侵蚀力、土壤可蚀性、DEM转换为抽样单元的R、K、LS因子；通过半月FVC、NPV、半月降雨侵蚀力权重、其他地类B因子表分别计算抽样单元内各地类的B因子；通过遥感解译结果、工程措施因子表，计算抽样单元工程措施因子值；通过耕作分区图及耕作措施表获取抽样单元内耕作因子值，进而计算各抽样单元内土壤侵蚀模数。18个小流域的选取依据泛第三极地区抽样单元布设图。 3）通过和同年同区域已有土壤侵蚀强度数据对比，无明显差异，数据质量良好。4）土壤侵蚀强度数据对研究泛第三极土壤侵蚀现状，更好的贯彻“一带一路”发展政策具有重要的意义。

1) The dataset encompasses soil water erosion modulus data of 18 small watersheds in Thailand, with a 5-meter spatial resolution and covering the year 2017.
2) The Chinese Soil Loss Equation (CSLE, A=R•K•LS•B•E•T) was adopted to assess soil erosion status by calculating the soil water erosion modulus of 40 sampling units respectively. The calculation was based on surface layer datasets including rainfall erosivity R, soil erodibility K, slope length and steepness factor LS, fraction of vegetation cover (FVC), and sampling survey units stratified by rotation zoning. Specifically, through spatial data operations (including chart linking and conversion, vector-raster conversion, resampling, etc.), the rainfall erosivity, soil erodibility and DEM data from regional thematic maps were converted into the R, K and LS factors for the sampling units. Then, the B factor for each land type within the sampling units was calculated based on half-monthly FVC, NPV, half-monthly rainfall erosivity weight and B factor tables for other land types. The engineering practice factor (E) values for the sampling units were calculated using remote sensing interpretation results and engineering practice factor tables. The tillage practice factor (T) values within the sampling units were obtained via tillage zoning maps and tillage practice tables, followed by the calculation of soil water erosion modulus for each sampling unit. The 18 small watersheds were selected based on the sampling unit layout map of the Pan-third Pole region.
3) No significant differences were found when compared with the existing soil erosion intensity data from the same region and year, verifying the good quality of this dataset.
4) The soil erosion intensity data holds great significance for researching the current status of soil erosion in the Pan-third Pole region and better implementing the development policies of the Belt and Road Initiative.