中国高分辨率国家土壤信息格网基本属性数据集（2010-2018）

本数据集是全国范围的基本土壤物理和化学属性的高分辨率空间分布图，包括pH(H2O)值、有机碳含量、有机碳密度、阳离子交换量、全氮含量、全氮密度、全磷含量、全磷密度、全钾含量、全钾密度、容重、砾石含量(>2mm)、砂粒、粉粒、粘粒、土壤质地类型、土体厚度等。水平空间分辨率为90m，另外也重采样到250m和1000m分辨率，分别服务不同的应用需求；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 comprises high-resolution spatial distribution maps of basic physical and chemical properties of soils across the entire country, including pH (H₂O) value, organic carbon content, organic carbon density, cation exchange capacity (CEC), total nitrogen content, total nitrogen density, total phosphorus content, total phosphorus density, total potassium content, total potassium density, bulk density, gravel content (>2 mm), sand fraction, silt fraction, clay fraction, soil texture type, soil thickness, and more. The horizontal spatial resolution is 90 m, and it is also resampled to 250 m and 1000 m resolutions to cater to different application requirements. The vertical dimension covers six soil layer depths: 0–5 cm, 5–15 cm, 15–30 cm, 30–60 cm, 60–100 cm, and 100–200 cm.

This dataset was developed based on soil profile sampling sites obtained from the recent "National Soil Series Survey and Compilation of *Soil Series of China*" project. Adopting the predictive soil mapping paradigm, it leverages geographic information and remote sensing technologies to finely characterize and spatially analyze soil-forming environmental conditions, develops an adaptive deep function fitting method, and integrates advanced ensemble machine learning methods to generate high-resolution three-dimensional digital distribution maps of a series of soil properties across China and their corresponding uncertainty distributions.

Compared with existing soil maps and related soil datasets, this work has significantly improved accuracy and resolution, better characterized the spatial variability of soil properties in China, and can be widely applied to multiple disciplines including soil science, agriculture, ecology, hydrology, climatology, environmental science, and others. It also represents an important contribution to the "Global Soil Mapping Science Program" (GlobalSoilMap.net).

AI搜集汇总

背景与挑战

背景概述

该数据集是中国2010-2018年全国范围的高分辨率土壤基本属性空间分布图，包含pH、有机碳、全氮等多项物理化学属性，水平分辨率达90米，垂直覆盖0-200厘米的六个土层。它基于大量土壤剖面调查数据，采用预测性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，可广泛应用于土壤、农业、生态等多个学科领域。