中国高分辨率国家土壤信息格网基本属性数据集_90米土壤全钾（2010-2018）

本数据集是全国范围的土壤全钾高分辨率空间分布图。水平空间分辨率为90m，垂直方向包括六个土层深度：0-5, 5-15, 15-30, 30-60, 60-100, 100-200cm。该数据集是基于近年“我国土系调查与《中国土系志》编制项目”获得的土壤剖面样点，采用预测性土壤制图范式，利用地理信息与遥感技术对成土环境条件进行精细刻画和空间分析，研发自适应深度函数拟合方法，集成先进的集合式机器学习方法，生成了中国高分辨率系列土壤属性三维数字分布图及其不确定性分布。与现有土壤图和相关土壤数据集相比，显著提高了准确性和精细度，更好地表征了我国土壤属性的空间变异特征，可广泛应用于土壤、农业、生态、水文、气候、环境等多个学科领域，也是对“全球土壤制图科学计划”（GlobalSoilMap.net）的重要贡献。

This dataset is a high-resolution spatial distribution map of soil total potassium at the national scale. Its horizontal spatial resolution is 90 meters, and the vertical dimension covers six soil layer depths: 0–5, 5–15, 15–30, 30–60, 60–100, and 100–200 cm. Developed based on soil profile sampling points collected from the recent "National Soil Series Survey and Compilation of the Soil Series Annals of China" project, this dataset adopts the predictive soil mapping paradigm. It conducts fine characterization of soil-forming environmental conditions and spatial analysis using geographic information and remote sensing technologies, develops an adaptive deep function fitting method, and integrates advanced ensemble machine learning approaches to generate three-dimensional digital distribution maps of China's high-resolution series of soil properties and their corresponding uncertainty distributions. Compared with existing soil maps and related soil datasets, this dataset significantly improves both accuracy and spatial resolution, and better characterizes the spatial variability of soil properties across China. It can be widely applied in multiple disciplines including soil science, agricultural science, ecology, hydrology, climatology, and environmental science, and constitutes an important contribution to the GlobalSoilMap.net (Global Soil Mapping Scientific Plan).

搜集汇总

背景与挑战

背景概述

该数据集是中国范围内土壤全钾含量的高分辨率空间分布图，时间覆盖2010年至2018年，水平空间分辨率为90米，垂直方向包含从表层到深层的六个土层深度。它基于全国土壤剖面调查数据，采用先进的预测性土壤制图和机器学习方法生成，显著提升了土壤属性空间变异的表征精度，适用于土壤学、农业、生态学等多个学科的研究与应用。