A Comparative Assessment of Geostatistical, Machine Learning, and Hybrid Approaches for Mapping Topsoil Organic Carbon Content

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datacite.relatedItem.firstPage174
datacite.relatedItem.issue4
datacite.relatedItem.relatedIdentifierTypeISSN
datacite.relatedItem.relatedItemIdentifier2220-9964
datacite.relatedItem.relationTypeIsPublishedIn
datacite.relatedItem.titleIJGI
datacite.relatedItem.volume8
dc.contributor.authorLin Chen
dc.contributor.authorChunying Ren
dc.contributor.authorLin Li
dc.contributor.authorYeqiao Wang
dc.contributor.authorBai Zhang
dc.contributor.authorZongming Wang
dc.contributor.authorLinfeng Li
dc.date.accessioned2025-05-14T15:11:34Z
dc.date.available2025-05-14T15:11:34Z
dc.date.issued2019
dc.identifier.doihttps://doi.org/10.3390/ijgi8040174
dc.identifier.otherjz000156-0173
dc.identifier.urihttps://tustorage.ulb.tu-darmstadt.de/handle/tustorage/27980
dc.publisherMDPI AG
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subject.ddc550
dc.titleA Comparative Assessment of Geostatistical, Machine Learning, and Hybrid Approaches for Mapping Topsoil Organic Carbon Content
dc.typeArticle
dcat.distribution.pdfhttps://tustorage.ulb.tu-darmstadt.de/handle/tustorage/27981
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