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A comprehensive review of soil organic carbon estimates : Integrating remote sensing and machine learning technologies

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dc.contributor.authorLi, Tong
dc.contributor.authorCui, Lizhen
dc.contributor.authorKuhnert, Matthias
dc.contributor.authorMcLaren, Timothy I.
dc.contributor.authorPandey, Rajiv
dc.contributor.authorLiu, Hongdou
dc.contributor.authorWang, Weijin
dc.contributor.authorXu, Zhihong
dc.contributor.authorXia, Anquan
dc.contributor.authorDalal, Ram C.
dc.contributor.authorDang, Yash P.
dc.contributor.institutionUniversity of Aberdeen.Biological Sciencesen
dc.date.accessioned2024-12-16T10:39:01Z
dc.date.available2024-12-16T10:39:01Z
dc.date.issued2024-11
dc.description.statusPeer revieweden
dc.format.extent16
dc.format.extent2463484
dc.identifier298172236
dc.identifierbbd84512-6d8e-4814-a3c6-57962be0cdb8
dc.identifier85205684584
dc.identifier.citationLi, T, Cui, L, Kuhnert, M, McLaren, T I, Pandey, R, Liu, H, Wang, W, Xu, Z, Xia, A, Dalal, R C & Dang, Y P 2024, 'A comprehensive review of soil organic carbon estimates : Integrating remote sensing and machine learning technologies', Journal of Soils and Sediments, vol. 24, no. 11, pp. 3556–3571. https://doi.org/10.1007/s11368-024-03913-8en
dc.identifier.doi10.1007/s11368-024-03913-8
dc.identifier.iss11en
dc.identifier.issn1439-0108
dc.identifier.otherORCID: /0000-0003-3284-2133/work/170964222
dc.identifier.urihttps://hdl.handle.net/2164/24766
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85205684584&partnerID=8YFLogxKen
dc.identifier.vol24en
dc.language.isoeng
dc.relation.ispartofJournal of Soils and Sedimentsen
dc.subjectSDG 13 - Climate Actionen
dc.subjectCarbon cycle dynamicsen
dc.subjectClimate Mitigationen
dc.subjectCo-occurrence analysisen
dc.subjectMachine Learningen
dc.subjectRemote sensingen
dc.subjectSoil mappingen
dc.subjectGE Environmental Sciencesen
dc.subjectEarth-Surface Processesen
dc.subjectStratigraphyen
dc.subject.lccGEen
dc.titleA comprehensive review of soil organic carbon estimates : Integrating remote sensing and machine learning technologiesen
dc.typeJournal articleen

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