The 30 m annual soil water erosion dataset in Chinese mainland from 1990 to 2022

This dataset is the 30m hydraulic erosion data of Chinese mainland from 1990 to 2022 (t/(hm2 a)), constructed based on Google Earth Engine and the Revised Universal Soil Loss Equation (RUSLE). The RUSLE formula includes five factors: Cover management factor(C), Soil erodibility factor(K), Slope length and steepness factor(LS), Rainfall erosivity factor(R), and Support practice factor(P). By multiplying these five factors, the soil erosion modulus can be obtained. Among them, a random forest interpolation method for rainfall data is introduced to obtain 30 m annual rainfall data and a multi-equation combined vegetation cover management factor tailored to the soil characteristics of mainland China is designed. Each zip file contains soil erosion data for 31 provinces in Chinese mainland. All files in this dataset are in TIFF format. Each province has been divided into multiple tiles based on its area size. To use this dataset, it is necessary to mosaic each tile of a province together. This dataset not only enables the public to have a more comprehensive and in-depth understanding of the serious harm of soil erosion but also provides regional, precise, and scientific basis for government decision-making.

本数据集为1990年至2022年中国大陆30米分辨率水力侵蚀数据（单位：吨/(公顷·年)），基于谷歌地球引擎（Google Earth Engine）与修正通用土壤流失方程（Revised Universal Soil Loss Equation，RUSLE）构建。修正通用土壤流失方程包含五大核心因子：覆盖管理因子（Cover management factor，C）、土壤可蚀性因子（Soil erodibility factor，K）、坡长坡度因子（Slope length and steepness factor，LS）、降雨侵蚀力因子（Rainfall erosivity factor，R）以及水土保持措施因子（Support practice factor，P）。通过将上述五大因子相乘，即可计算得到土壤侵蚀模数。本数据集引入随机森林插值法处理降雨数据，以生成30米分辨率的年降雨数据集，并针对中国大陆的土壤特性设计了多方程组合式植被覆盖管理因子。每个ZIP压缩包内含中国大陆31个省份的土壤侵蚀数据。本数据集所有文件均采用TIFF格式存储。各省份依据自身面积规模被划分为若干分幅瓦片，使用该数据集时需将同一省份的所有分幅瓦片进行镶嵌拼接。本数据集既可为公众全面深入认知土壤侵蚀的严重危害提供支撑，也能为政府决策提供区域精准、科学的支撑依据。

搜集汇总

背景与挑战

背景概述

该数据集是1990年至2022年中国大陆30米分辨率的年度土壤水蚀数据，基于Google Earth Engine和修正通用土壤流失方程（RUSLE）构建，通过五个因子计算土壤侵蚀模数。数据集采用随机森林插值法获取高分辨率降雨数据，并针对中国大陆土壤特性设计了植被覆盖管理因子，以TIFF格式存储各省份分块数据，需拼接使用。它旨在提升公众对土壤侵蚀危害的认识，并为政府决策提供区域精准的科学依据。