青藏高原300米分辨率土壤侵蚀强度图（1992年）

数据内容包含青藏高原地区1992年土壤侵蚀强度栅格数据，空间分辨率300米；土壤侵蚀强度数据采用中国土壤侵蚀预报模型（CSLE）计算获取。土壤侵蚀预报模型公式中包含降雨侵蚀力因子、土壤可蚀性因子、坡长因子、坡度因子、植被覆盖与生物措施因子、工程措施因子、耕作措施因子。降雨侵蚀力因子由青藏高原各站点降雨数据插值获得；土壤可蚀性因子、工程措施因子、耕作措施因子采用第一次水利普查数据；坡长因子、坡度因子通过30m高程数据计算后重采样得到；植被覆盖与生物措施因子由植被覆盖度结合土地利用数据和降雨侵蚀力比例计算得出，其中植被覆盖度是由MODIS的植被指数产品通过像元二分法计算得到。通过多期土壤侵蚀强度数据的差异变化比较，符合实际变化规律，数据质量良好。

The dataset contains grid data of soil erosion intensity in the Qinghai-Tibet Plateau in 1992, with a spatial resolution of 300 meters. The soil erosion intensity data was calculated using the Chinese Soil Loss Equation (CSLE). The formula of the soil erosion prediction model includes seven core factors: rainfall erosivity factor, soil erodibility factor, slope length factor, slope steepness factor, vegetation cover and biological measures factor, engineering measures factor, and tillage measures factor. The rainfall erosivity factor was obtained by interpolating rainfall data from meteorological stations across the Qinghai-Tibet Plateau. The soil erodibility factor, engineering measures factor and tillage measures factor were derived from the dataset of the First National Water Conservancy Census. The slope length factor and slope steepness factor were calculated from 30-meter elevation data and then resampled. The vegetation cover and biological measures factor was calculated based on vegetation coverage, combined with land use data and rainfall erosivity ratio. Specifically, the vegetation coverage was calculated using the dimidiate pixel method with MODIS vegetation index products. Comparison of the variation differences among multi-temporal soil erosion intensity data shows that the dataset conforms to actual change patterns and has good data quality.