The 1: 50,000 national soil survey of the Netherlands, completed in the early 1990s after
more than three decades of mapping, is gradually becoming outdated. Large-scale changes …

Digital soil mapping involves the use of auxiliary data to assist in the mapping of soil
classes. In this research, we investigate the predictive power of 6 data mining classifiers …

The paper compares semi-automated interpolation methods to produce soil-class maps from
profile observations and by using multiple auxiliary predictors such as terrain parameters …

Mapping soil properties such as soil organic matter (SOM), or soil organic carbon (SOC)
content represent a problem often arising in agronomic and environmental surveys, since …

Discriminant analysis, referred to as maximum likelihood classification within popular remote
sensing software packages, is a common supervised technique used by analysts …

Abstract In South Africa, there is a growing demand for large scale detailed hydrological soil
maps for modelling and management purposes. However, imbalanced legacy soil …

Objective Although lower respiratory infections (LRI) are among the leading causes of
mortality in the US, their association with underlying factors and geographic variation have …

A hydropedologic approach can be used to describe soil units affected by distinct hydrologic
regimes. We used field observations of soil morphology and geospatial information …

One of the main challenges in traditional soil mapping is the identification of land
components (LCs)-suitable combinations of morphology, lithology and land use …

The establishment of the Common Agricultural Policy has dramatically transformed the
relationship between the natural environment and agriculture in the UK. Accordingly, the …