Reference soil groups map of Ethiopia based on legacy data and machine learning-technique: EthioSoilGrids 1.0

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cg.authorship.typesCGIAR and developing country instituteen
cg.contributor.affiliationAddis Ababa Universityen
cg.contributor.affiliationMinistry of Agriculture, Ethiopiaen
cg.contributor.affiliationDeutsche Gesellschaft Für Internationale Zusammenarbeiten
cg.contributor.affiliationInternational Center for Tropical Agricultureen
cg.contributor.affiliationMekelle Universityen
cg.contributor.affiliationAmhara Design and Supervision Enterpriseen
cg.contributor.affiliationBahir Dar Universityen
cg.contributor.affiliationHawassa Universityen
cg.contributor.affiliationJimma Universityen
cg.contributor.affiliationEthiopian Construction Design and Supervision Works Corporationen
cg.contributor.affiliationEngineering Corporation of Oromiaen
cg.contributor.affiliationNational Soil Testing Centeren
cg.contributor.donorBill & Melinda Gates Foundationen
cg.contributor.donorCGIARen
cg.contributor.donorCGIAR Trust Funden
cg.contributor.initiativeExcellence in Agronomy
cg.coverage.countryEthiopia
cg.coverage.iso3166-alpha2ET
cg.coverage.regionAfrica
cg.coverage.regionEastern Africa
cg.coverage.regionSub-Saharan Africa
cg.creator.identifierLulseged Tamene: 0000-0002-4846-2330
cg.creator.identifierWuletawu Abera: 0000-0002-3657-5223
cg.identifier.doihttps://doi.org/10.5194/soil-10-189-2024en
cg.isijournalISI Journalen
cg.issn2199-398Xen
cg.issue1en
cg.journalSoilen
cg.reviewStatusPeer Reviewen
cg.subject.actionAreaResilient Agrifood Systems
cg.subject.alliancebiovciatSMALLHOLDER FARMERSen
cg.subject.impactAreaEnvironmental health and biodiversity
cg.subject.sdgSDG 2 - Zero hungeren
cg.subject.sdgSDG 15 - Life on landen
cg.volume10en
dc.contributor.authorAli, Ashenafien
dc.contributor.authorTadesse, Solomonen
dc.contributor.authorWolde, Yitbareken
dc.contributor.authorGudeta, Kifluen
dc.contributor.authorAbera, Wuletawuen
dc.contributor.authorMesfin, Ephremen
dc.contributor.authorMekete, Terefeen
dc.contributor.authorHaile, Mitikuen
dc.contributor.authorHaile, Wondwosenen
dc.contributor.authorAbegaz, Assefaen
dc.contributor.authorTafesse, Demekeen
dc.contributor.authorBelay, Gebeyhuen
dc.contributor.authorGetahun, Mekonenen
dc.contributor.authorBeyene, Shelemeen
dc.contributor.authorAssen, Mohameden
dc.contributor.authorRegassa, Alemayehuen
dc.contributor.authorSelassie, Yihenew G.en
dc.contributor.authorAbebe, Dawiten
dc.contributor.authorSchulz, Steffenen
dc.contributor.authorErkossa, Tekluen
dc.contributor.authorHussien, Nesruen
dc.contributor.authorYirdaw, Abebeen
dc.contributor.authorMera, Addisuen
dc.contributor.authorAdmas, Tesemaen
dc.contributor.authorWakoya, Feyeraen
dc.contributor.authorLegesse, Awgachewen
dc.contributor.authorTessema, Nigaten
dc.contributor.authorAbebe, Ayeleen
dc.contributor.authorGebremariam, Simreten
dc.contributor.authorAregaw, Yismawen
dc.contributor.authorAbebaw, Bizuayehuen
dc.contributor.authorBekele, Damtewen
dc.contributor.authorZewdie, Eylachewen
dc.contributor.authorTamene, Lulseged D.en
dc.contributor.authorElias, Eyasuen
dc.date.accessioned2024-05-17T07:38:21Zen
dc.date.available2024-05-17T07:38:21Zen
dc.identifier.urihttps://hdl.handle.net/10568/141878
dc.titleReference soil groups map of Ethiopia based on legacy data and machine learning-technique: EthioSoilGrids 1.0en
dcterms.abstractUp-to-date digital soil resource information and its comprehensive understanding are crucial to supporting crop production and sustainable agricultural development. Generating such information through conventional approaches consumes time and resources, and is difficult for developing countries. In Ethiopia, the soil resource map that was in use is qualitative, dated (since 1984), and small scaled (1 : 2 M), which limit its practical applicability. Yet, a large legacy soil profile dataset accumulated over time and the emerging machine-learning modeling approaches can help in generating a high-quality quantitative digital soil map that can provide better soil information. Thus, a group of researchers formed a Coalition of the Willing for soil and agronomy data-sharing and collated about 20 000 soil profile data and stored them in a central database. The data were cleaned and harmonized using the latest soil profile data template and 14 681 profile data were prepared for modeling. Random forest was used to develop a continuous quantitative digital map of 18 World Reference Base (WRB) soil groups at 250 m resolution by integrating environmental covariates representing major soil-forming factors. The map was validated by experts through a rigorous process involving senior soil specialists or pedologists checking the map based on purposely selected district-level geographic windows across Ethiopia. The map is expected to be of tremendous value for soil management and other land-based development planning, given its improved spatial resolution and quantitative digital representation.en
dcterms.accessRightsOpen Access
dcterms.audienceScientistsen
dcterms.available2024-03-05
dcterms.bibliographicCitationAli, A.; Tadesse, S.; Wolde, Y.; Gudeta, K.; Abera, W.; Mesfin, E.; Mekete, T.; Haile, M.; Haile, W.; Abegaz, A.; Tafesse, D.; Belay, G.; Getahun, M.; Beyene, S.; Assen, M.; Regassa, A.; Selassie, Y.G.; Abebe, D.; Schulz, S.; Erkossa, T.; Hussien, N.; Yirdaw, A.; Mera, A.; Admas, T.; Wakoya, F.; Legesse, A.; Tessema, N.; Abebe, A.; Gebremariam, S.; Aregaw, Y.; Abebaw, B.; Bekele, D.; Zewdie, E.; Tamene, L.; Elias, E. (2024) Reference soil groups map of Ethiopia based on legacy data and machine learning-technique: EthioSoilGrids 1.0. Soil 10(1): p. 189-209. ISSN: 2199-398Xen
dcterms.extent189-209en
dcterms.issued2024-03-05
dcterms.languageen
dcterms.licenseCC-BY-4.0
dcterms.publisherCopernicus Publicationsen
dcterms.subjectsoil typesen
dcterms.subjectsoilen
dcterms.subjectmapsen
dcterms.typeJournal Article

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