Appropriate scale, justifiably reliable, categorical and continuous spatial soil information is
urgently needed to address environmental problems and ensure sustainability of ecosystem …

Our understanding of the spatial distribution of soil carbon (C) pools across diverse land
uses, soils, and climatic gradients at regional scale is still limited. Research in digital soil …

Soil organic matter (SOM) plays an important role in soil fertility and C cycle. Detailed
information about the spatial distribution of SOM is vital to effective management of soil …

This study introduces a hybrid spatial modelling framework, which accounts for spatial non‐
stationarity, spatial autocorrelation and environmental correlation. A set of geographic …

Soil property maps are essential resources for agricultural land use. However, soil
properties mapping is costly and time-consuming, especially in the regions with complicated …

Accurately mapping the spatial distribution of soil total nitrogen is important to precision
agriculture and environmental management. Geostatistical methods have been frequently …

The present regression models in digital soil mapping usually assume that relationships
between soil properties and environmental variables are always fixed (as in MLR) or varying …

An analysis and comparison of daily and yearly solar irradiation from the satellite CM SAF
database and a set of 301 stations from the Spanish SIAR network is performed using data …

Three-dimensional digital soil mapping (3D-DSM) quantifies both the horizontal and the
vertical variability of soil properties. Most current studies in 3D-DSM were based on either …

A digital soil mapping exercise over a large extent and at a high resolution is a
computationally expensive procedure. It may take days or weeks to obtain the final maps …