Chinese Academy of Sciences

Decheng Li

Fei Yang

Feng Liu

Ganlin Zhang

Xiaodong Song

Huayong Wu

Jinling Yang

Yuguo Zhao

Provided is a pedo-transfer function (PTF)-based method for predicting a target soil property. Based on the collection of a multi-source soil dataset and environmental variables, a dataset containing all measured information is divided. Second-level regions are obtained by zoning according to the spatial variation in soil properties. An optimal independent variable set of PTFs in different regions is obtained by screening. Then, linear fitting and nonlinear fitting of the PTFs are performed for different zones separately. By comparing the accuracy of different functions between different zones, optimal PTFs oriented toward sampling sites are selected, so as to build a database including soil sampling sites. Further, regional independent variable layers are constructed by means of machine learning, to establish region-oriented PTFs; and a spatial distribution map of the target soil property and content for a target region is produced.

PTF-based method for predicting target soil property and content

Growing community of inventors

Jiangsu, China

Decheng Li