Digital soil mapping: Evolution, current state and future directions of the science

Brendan Malone, Dominique Arrouays, Laura Poggio, Budiman Minasny, Alex B. McBratney

Research output: Chapter in Book/Report/Conference proceedingEntry for encyclopedia/dictionaryAcademic

5 Citations (Scopus)

Abstract

Digital soil mapping (DSM) entails the creation and population of spatial soil information systems by numerical models inferring the spatial and temporal variations of soil types and soil properties from soil observation and knowledge derived from related environmental variables. This chapter summarizes the state of the science of DSM and the mechanics of its various implementations. It has moved from research to practical application and is now widely used as a method for making soil maps. The outlook for continuing research into DSM and related efforts is positive, because objective spatio-temporal assessments of the soil resources are needed and continually require updating.

Original languageEnglish
Title of host publicationEncyclopedia of Soils in the Environment, Second Edition
Subtitle of host publicationVolume 1-5
EditorsM.J. Goss, M. Oliver
PublisherElsevier
PagesV4-684-V4-695
Volume4
Edition2
ISBN (Electronic)9780128229743
ISBN (Print)9780323951333
DOIs
Publication statusPublished - 14 Aug 2023

Keywords

  • Covariates
  • Digital soil mapping
  • Geostatistics
  • Global soil mapping
  • Legacy soil data
  • Machine learning
  • Mechanistic modelling
  • Numerical classification
  • Pedometrics
  • Soil forming factors
  • Soil Survey
  • Soil-landscape paradigm
  • Spatial modelling
  • Spatio-temporal modelling
  • Uncertainty analysis

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