Predictive soil mapping (PSM) can be defined as the development of a numerical or
statistical model of the relationship among environmental variables and soil properties …

We review various recent approaches to making digital soil maps based on geographic
information systems (GIS) data layers, note some commonalities and propose a generic …

This study aimed to map SOC lateral, and vertical variations down to 1 m depth in a semi-
arid region in Kurdistan Province, Iran. Six data mining techniques namely; artificial neural …

Salinization and alkalinization are the most important land degradation processes in central
Iran. In this study we modelled the vertical and lateral variation of soil salinity (measured as …

Soil–landscape patterns result from the integration of short‐and long‐term pedogeomorphic
processes. A 2‐ha hillslope catena in California shows short‐distance variation in A horizon …

The study of landform can be used to predict specific solid rock and moisture conditions that
exist in that landform. Landforms are of significance in engineering because they influence …

Calculations based on US Geological Survey (USGS) digital elevation models (DEMs)
inherit any errors associated with that particular representation of topography. We …

Abstract Soil Organic Carbon (SOC) content is a key element for soil fertility and productivity,
nutrient availability and potentially represents a measurement of the sink for greenhouse …

Purpose Spatial variability of soil properties is considered as one of the most important
reasons for the variability of crop productions. The current research was conducted to …

Classification tree analysis is evaluated as a predictive soil mapping technique for
developing a preliminary soil map for neighboring site from samples extracted from an …