Derivation of soil-attribute estimations from legacy soil maps

Nathan P. Odgers, Karen W. Holmes, Ted Griffin, Craig Liddicoat

Research output: Contribution to journalArticlepeer-review

11 Citations (Scopus)

Abstract

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. Spatial disaggregation provides a means of extracting information from legacy soil maps and enables us to downscale the original information to produce new soil class maps at finer levels of detail. This is a useful outcome in its own right; however, the disaggregated soil-class coverage can also be used to make digital maps of soil properties with associated estimates of uncertainty. In this work, we take the spatially disaggregated soil-class coverage for all of Western Australia and the agricultural region of South Australia and demonstrate its application in mapping clay content at six depth intervals in the soil profile. Estimates of uncertainty are provided in the form of the 90% prediction interval. The work can be considered an example of harmonisation to a common output specification. The validation results highlighted areas in the landscape and taxonomic spaces where more knowledge of soil properties is necessary.

Original languageEnglish
Pages (from-to)881-894
Number of pages14
JournalSoil Research
Volume53
Issue number8
DOIs
Publication statusPublished - 2015
Externally publishedYes

Keywords

  • clay content
  • digital soil mapping
  • legacy soil data
  • prediction interval
  • spatial disaggregation
  • weighted mean

Fingerprint Dive into the research topics of 'Derivation of soil-attribute estimations from legacy soil maps'. Together they form a unique fingerprint.

Cite this