Mapping the major soil-landscape resources of the Ethiopian Highlands using random forest

J.G.B. Leenaars*, E. Elias, J.H.M. Wösten, M. Ruiperez-González, B. Kempen

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

12 Citations (Scopus)

Abstract

Geospatially explicit information of soil-landscape resources of Ethiopia is lacking or fragmented for much of the country. Recently, massive soil data were collected, however these are limited to properties related to soil fertility and valid for the topsoil only. Understanding the country’s soil-landscape resources, including their qualities and constraints beyond the topsoil, remains key information for systematic and reliable scaling up of evidence-based agricultural best practices including soil fertility management recommendations. The objective of this study was to produce a coherent dataset of the major soil-landscape resources of 30 highland woredas (districts), contributing to the Agricultural Growth Program of the Government of Ethiopia.
Original languageEnglish
Article number114067
JournalGeoderma
Volume361
Early online date2 Dec 2019
DOIs
Publication statusPublished - 1 Mar 2020

Keywords

  • Agricultural best soil fertility management practice
  • Digital soil mapping
  • Disaggregation
  • Soil survey
  • WRB

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