Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/22620
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dc.contributor.authorTighe, Matthewen
dc.contributor.authorForster, Nicolaen
dc.contributor.authorGuppy, Christopheren
dc.contributor.authorSavage, D Gen
dc.contributor.authorGrave, Peteren
dc.contributor.authorYoung, Ien
dc.date.accessioned2018-02-26T12:02:00Z
dc.date.issued2018en
dc.identifier.citationScientific Reports, v.8, p. 1-9en
dc.identifier.issn2045-2322en
dc.identifier.urihttps://hdl.handle.net/1959.11/22620en
dc.description.abstractThe provenance or origin of a soil sample is of interest in soil forensics, archaeology, and biosecurity. In all of these fields, highly specialized and often expensive analysis is usually combined with expert interpretation to estimate sample origin. In this proof of concept study we apply rapid and non-destructive spectral analysis to the question of direct soil provenancing. This approach is based on one of the underlying tenets of soil science - that soil pedogenesis is spatially unique, and thus digital spectral signatures of soil can be related directly, rather than via individual soil properties, to a georeferenced location. We examine three different multivariate regression techniques to predict GPS coordinates in two nested datasets. With a minimum of data processing, we show that in most instances Eastings and Northings can be predicted to within 20% of the range of each within the dataset using the spectral signatures produced via portable x-ray fluorescence. We also generate 50 and 95% confidence intervals of prediction and express these as a range of GPS coordinates. This approach has promise for future application in soil and environmental provenancing.en
dc.languageenen
dc.publisherNature Publishing Groupen
dc.relation.ispartofScientific Reportsen
dc.titleGeoreferenced soil provenancing with digital signaturesen
dc.typeJournal Articleen
dc.identifier.doi10.1038/s41598-018-21530-7en
dcterms.accessRightsGolden
dc.subject.keywordsAgricultural Spatial Analysis and Modellingen
dc.subject.keywordsSoil Chemistry (excl. Carbon Sequestration Science)en
dc.subject.keywordsApplied Statisticsen
local.contributor.firstnameMatthewen
local.contributor.firstnameNicolaen
local.contributor.firstnameChristopheren
local.contributor.firstnameD Gen
local.contributor.firstnamePeteren
local.contributor.firstnameIen
local.subject.for2008070104 Agricultural Spatial Analysis and Modellingen
local.subject.for2008010401 Applied Statisticsen
local.subject.for2008050304 Soil Chemistry (excl. Carbon Sequestration Science)en
local.subject.seo2008961402 Farmland, Arable Cropland and Permanent Cropland Soilsen
local.subject.seo2008960906 Forest and Woodlands Land Managementen
local.subject.seo2008960904 Farmland, Arable Cropland and Permanent Cropland Land Managementen
local.profile.schoolSchool of Environmental and Rural Scienceen
local.profile.schoolSchool of Environmental and Rural Scienceen
local.profile.schoolSchool of Humanities, Arts and Social Sciencesen
local.profile.emailmtighe2@une.edu.auen
local.profile.emailcguppy@une.edu.auen
local.profile.emailpgrave@une.edu.auen
local.output.categoryC1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.identifier.epublicationsrecordune-chute-20180220-151342en
local.publisher.placeUnited Kingdomen
local.identifier.runningnumber3162en
local.format.startpage1en
local.format.endpage9en
local.peerreviewedYesen
local.identifier.volume8en
local.access.fulltextYesen
local.contributor.lastnameTigheen
local.contributor.lastnameForsteren
local.contributor.lastnameGuppyen
local.contributor.lastnameSavageen
local.contributor.lastnameGraveen
local.contributor.lastnameYoungen
dc.identifier.staffune-id:mtighe2en
dc.identifier.staffune-id:nforste3en
dc.identifier.staffune-id:cguppyen
dc.identifier.staffune-id:pgraveen
local.profile.orcid0000-0001-7274-607Xen
local.profile.orcid0000-0001-5076-2386en
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:22806en
local.identifier.handlehttps://hdl.handle.net/1959.11/22620en
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleGeoreferenced soil provenancing with digital signaturesen
local.output.categorydescriptionC1 Refereed Article in a Scholarly Journalen
local.description.statisticsepubsVisitors: 17<br />Views: 17<br />Downloads: 2en
Appears in Collections:Journal Article
School of Environmental and Rural Science
School of Humanities, Arts and Social Sciences
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