The uptake of machine learning (ML) algorithms in digital soil map** (DSM) is
transforming the way soil scientists produce their maps. Within the past two decades, soil …

Abstract Digital Soil Map** and Assessment (DSMA) has progressed from challenging
traditional soil science paradigms, through small scale prototy**, to large-scale …

Traditional soil maps have helped us to better understand soil, to form our concepts and to
teach and transfer our ideas about it, and so they have been used for many purposes …

Рассмотрены тенденции развития методов картографирования почв и выделены
основные проблемы. В настоящий момент уже закончен переход от создания …

The main trends in the development of soil map** methods are discussed, and the major
problems are identified. By the present time, the transition from the paper-based soil maps to …

В книге проведен анализ технологий, подходов и методов, используемых при
картографировании почв и обновлении почвенных карт. Рассмотрены традиционные …

To help meet the increasing need for knowledge and data on the spatial distribution of soils,
readily applied multiple linear regression models were developed for key soil properties …

Conventional soil surveys remain as a major source of information about soils and their
properties, but are no longer suited for new demands requiring finer soil data. Spatial …

It is increasingly necessary to apply quantitative techniques to legacy soil polygon maps
given that legacy soil maps may be the only source of soil information over large areas …

Conventional soil maps generally depict information about soil spatial distribution in the
framework of crisp boundaries of tessellated soil polygons. Such maps in standard soil …