Evaluating Landslide Susceptibility Using Sampling Methodology and Multiple Machine Learning Models

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datacite.relatedItem.firstPage197
datacite.relatedItem.issue5
datacite.relatedItem.relatedIdentifierTypeISSN
datacite.relatedItem.relatedItemIdentifier2220-9964
datacite.relatedItem.relationTypeIsPublishedIn
datacite.relatedItem.titleIJGI
datacite.relatedItem.volume12
dc.contributor.authorYingze Song
dc.contributor.authorDegang Yang
dc.contributor.authorWeicheng Wu
dc.contributor.authorXin Zhang
dc.contributor.authorJie Zhou
dc.contributor.authorZhaoxu Tian
dc.contributor.authorChencan Wang
dc.contributor.authorYingxu Song
dc.date.accessioned2025-05-14T14:37:32Z
dc.date.available2025-05-14T14:37:32Z
dc.date.issued2023
dc.identifier.doihttps://doi.org/10.3390/ijgi12050197
dc.identifier.otherjz000148-0196
dc.identifier.urihttps://tustorage.ulb.tu-darmstadt.de/handle/tustorage/26474
dc.publisherMDPI AG
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subject.ddc550
dc.titleEvaluating Landslide Susceptibility Using Sampling Methodology and Multiple Machine Learning Models
dc.typeArticle
dcat.distribution.pdfhttps://tustorage.ulb.tu-darmstadt.de/handle/tustorage/26475
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