A global spectral library to characterize the world’s soil

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cg.creator.identifierLeigh Ann Winowiecki: 0000-0001-5572-1284en_US
cg.identifier.doihttps://doi.org/10.1016/j.earscirev.2016.01.012en_US
cg.identifier.wlethemeDecision Analysis and Informationen_US
cg.isijournalISI Journalen_US
cg.issn0012-8252en_US
cg.journalEarth-Science Reviewsen_US
cg.reviewStatusPeer Reviewen_US
cg.subject.ciatSOIL INFORMATIONen_US
cg.volume155en_US
dc.contributor.authorViscarra Rossel, Raphael A.en_US
dc.contributor.authorBehrens, Ten_US
dc.contributor.authorBen-Dor, E.en_US
dc.contributor.authorBrown, D.J.en_US
dc.contributor.authorDemattê, JAMen_US
dc.contributor.authorShepherd, Keith D.en_US
dc.contributor.authorShi, Zen_US
dc.contributor.authorStenberg, Ben_US
dc.contributor.authorStevens, Aen_US
dc.contributor.authorAdamchuk, Ven_US
dc.contributor.authorAïchik, Hen_US
dc.contributor.authorBarthèsl, BGen_US
dc.contributor.authorBartholomeus, H.M.en_US
dc.contributor.authorBayer, ADen_US
dc.contributor.authorBernoux, Martialen_US
dc.contributor.authorBöttchero, Ken_US
dc.contributor.authorBrodský, Len_US
dc.contributor.authorDu, CWen_US
dc.contributor.authorChappell, Aen_US
dc.contributor.authorFouad, Yen_US
dc.contributor.authorGenot, Ven_US
dc.contributor.authorGómez, C.en_US
dc.contributor.authorGrunwald, S.en_US
dc.contributor.authorGubler, Aen_US
dc.contributor.authorHedley, CBen_US
dc.contributor.authorKnadel, Men_US
dc.contributor.authorMorrás, HJMen_US
dc.contributor.authorNocita, Men_US
dc.contributor.authorRamírez Lopez, L.en_US
dc.contributor.authorRoudier, P.en_US
dc.contributor.authorRufasto Campos, EMen_US
dc.contributor.authorSanborn, Pen_US
dc.contributor.authorSellitto, VMen_US
dc.contributor.authorSudduth, KAen_US
dc.contributor.authorRawlins, BGen_US
dc.contributor.authorWalter, Cen_US
dc.contributor.authorWinowiecki, Leigh Annen_US
dc.contributor.authorHong, SYen_US
dc.contributor.authorJi, Wen_US
dc.date.accessioned2016-02-11T20:06:32Zen_US
dc.date.available2016-02-11T20:06:32Zen_US
dc.identifier.urihttps://hdl.handle.net/10568/70992en_US
dc.titleA global spectral library to characterize the world’s soilen_US
dcterms.abstractSoil provides ecosystem services, supports human health and habitation, stores carbon and regulates emissions of greenhouse gases. Unprecedented pressures on soil from degradation and urbanization are threatening agro-ecological balances and food security. It is important that we learn more about soil to sustainably manage and preserve it for future generations. To this end, we developed and analyzed a global soil visible–near infrared (vis–NIR) spectral library. It is currently the largest and most diverse database of its kind. We show that the information encoded in the spectra can describe soil composition and be associated to land cover and its global geographic distribution, which acts as a surrogate for global climate variability. We also show the usefulness of the global spectra for predicting soil attributes such as soil organic and inorganic carbon, clay, silt, sand and iron contents, cation exchange capacity, and pH. Using wavelets to treat the spectra, which were recorded in different laboratories using different spectrometers and methods, helped to improve the spectroscopic modelling. We found that modelling a diverse set of spectra with a machine learning algorithm can find the local relationships in the data to produce accurate predictions of soil properties. The spectroscopic models that we derived are parsimonious and robust, and using them we derived a harmonized global soil attribute dataset, which might serve to facilitate research on soil at the global scale. This spectroscopic approach should help to deal with the shortage of data on soil to better understand it and to meet the growing demand for information to assess and monitor soil at scales ranging from regional to global. New contributions to the library are encouraged so that this work and our collaboration might progress to develop a dynamic and easily updatable database with better global coverage. We hope that this work will reinvigorate our community's discussion towards larger, more coordinated collaborations. We also hope that use of the database will deepen our understanding of soil so that we might sustainably manage it and extend the research outcomes of the soil, earth and environmental sciences towards applications that we have not yet dreamed of.en_US
dcterms.accessRightsOpen Accessen_US
dcterms.bibliographicCitationViscarra Rossel, R.A.; Behrens, T.; Ben-Dor, E.; Brown, D.J.; Demattê, J.A.M.; Shepherd, K.D.; Shi, Z.; Stenberg, B.; Stevens, A.; Adamchuk, V.; Aïchik, H.; Barthèsl, B.G.; Bartholomeus, H.M.; Bayer, A.D.; Bernoux, M.; Böttchero, K.; Brodský, L.; Du, C.W.; Chappell, A.; Fouad, Y.; Genot, V.; Gomez, C.; Grunwald, S.; Gubler, A.; Hedley, C.B.; Knadel, M.; Morrás, H.J.M.; Nocita, M.; Ramirez-Lopez, L.; Roudier, P.; Rufasto Campos, E.M.; Sanborn, P.; Sellitto, V.M.; Sudduth, K.A.; Rawlins, B.G.; Walter, C.; Winowiecki, Leigh Ann; Hong, S.Y.; Ji, W.. 2016. A global spectral library to characterize the world’s soil. Earth-Science Reviews 155:198-230.en_US
dcterms.extentp. 198-230en_US
dcterms.issued2016-04en_US
dcterms.languageenen_US
dcterms.licenseCC-BY-NC-ND-4.0en_US
dcterms.publisherElsevieren_US
dcterms.subjectsoilen_US
dcterms.subjectdatabasesen_US
dcterms.subjectstatistical methodsen_US
dcterms.subjectspectroscopyen_US
dcterms.subjectmachine learningen_US
dcterms.subjectsoil chemicophysical propertiesen_US
dcterms.subjectsueloen_US
dcterms.subjectbases de datosen_US
dcterms.subjectmétodos estadísticosen_US
dcterms.subjectespectroscopiaen_US
dcterms.subjectaprendizaje electrónicoen_US
dcterms.subjectpropiedades fisico-químicas sueloen_US
dcterms.typeJournal Articleen_US

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