What is it about?

In this paper, we developed a new method to accurately obtain spatial information on soil organic carbon across large area.

Featured Image

Why is it important?

Soil is affected by many factors. The improved performance is attributed to the introduction of more environmental factors, to explicit consideration of the multicollinearity of selected factors and the spatial nonstationarity and nonlinearity of relationships between SOC and selected factors, and to the performance of HASM and ANN. This method may play a useful tool in providing more precise spatial information on soil parameters for global modeling across large areas.

Read the Original

This page is a summary of: Spatially distributed modeling of soil organic carbon acrossChina with improved accuracy, Journal of Advances in Modeling Earth Systems, May 2017, American Geophysical Union (AGU),
DOI: 10.1002/2016ms000827.
You can read the full text:

Read

Contributors

The following have contributed to this page