Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/215377
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dc.contributor.authorJavier, Dymphnaen
dc.contributor.authorKumar, Laliten
dc.coverage.spatialnorthlimit=17.021396702354; southlimit=16.057754898473; westlimit=120.21319239972; eastLimit=121.10308497785; projection=WGS84en
dc.coverage.temporal1970 to 2013en
dc.date.accessioned2018-09-12T10:15:06Z-
dc.date.issued2018-06-27-
dc.identifier.urihttps://hdl.handle.net/1959.11/215377-
dc.descriptionAccess to the Thesis for which this dataset was generated can be found at the following link: https://hdl.handle.net/1959.11/27377en
dc.description.abstractThe dataset contains the following in the une cloud: – arcmap and jpgs folder: various ArcMap files and generated jpgs In the UNE.Cloud thesis research data folder: – articles summary folder: Excel summary of pertinent articles and reported results on landslide susceptibility – rainfall threshold folder: Statistical analysis (done in Excel) of daily rainfall data measured by PAGASA (the national weather bureau) for the period 1970-2013 and associated landslide occurrence. – freqratio folder: Frequency ratio calculations (done in Excel) on landslide and non-landslide data attributes (elevation, slope, angle, slope aspect, plan curvature, profile curvature, distance to drainage, soil type, lithology, land use/ land cover, NDVI, distance to road) exported from ArcMap and then subjected to statistical analysis in Excel – blr folder data sub-folder: Training and validation landslide and non-landslide data randomly selected through ArcMap and exported to Excel. – blr folder blr_lsus and spss subfolders: Statistical analysis on SPSS results on training and validation data using binary logistic regression forward step method. – sat image sub-folder: WorldView2 satellite image of study site.en
dc.format29 Excel .xlsx files. 2 SPSS .sav files. 12 Satellite image files. 22 ArcMap .mxd files. 24 .jpg image files.en
dc.languageenen
dc.relation.urihttps://hdl.handle.net/1959.11/27377en
dc.rightsAttribution-Noncommercial 3.0 AU*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/3.0/au*
dc.titleInvestigating landslide triggering rainfall and susceptibility modelling in northern Philippinesen
dc.typeDataseten
dcterms.accessRightsMediateden
dcterms.rightsHolderUniversity of New England-
dc.subject.keywordsFrequency ratioen
dc.subject.keywordsRainfall thresholden
dc.subject.keywordsBaguioen
dc.subject.keywordsPhilippinesen
dc.subject.keywordsLandslide susceptibilityen
dc.subject.keywordsBinary logistic regressionen
dc.identifier.datasetidJavierDymphna_20180627en
dc.rights.accessMediateden
local.contributor.firstnameDymphnaen
local.contributor.firstnameLaliten
local.format.size1397.3 MBen
local.date.recorded2018-06-27en
local.date.retentionend2023-06-27en
local.identifier.cloudJavierDymphna_20180627en
local.access.embargoedto2019-10-01en
local.subject.for2008050209 Natural Resource Managementen
local.subject.for2008050207 Environmental Rehabilitation (excl. Bioremediation)en
local.subject.seo2008961206 Rehabilitation of Degraded Mountain and High Country Environmentsen
local.subject.seo2008961008 Natural Hazards in Mountain and High Country Environmentsen
local.dcrelation.publicationDeriving the rainfall threshold for shallow landslide early warning during tropical cyclones: a case study in northern Philippines https://doi.org/10.1007/s11069-017-3081-2en
local.dcrelation.publicationThesis title, Investigating landslide triggering rainfall and susceptibility modelling in northern Philippinesen
local.dcrelation.publicationRapid appraisal of rainfall threshold and selected landslides in Baguio, Philippines https://doi.org/10.1007/s11069-015-1790-yen
local.dcrelation.statusEmbargoeden
dcterms.RightsStatementContact the Chief Investigator to request access and reuse.-
dc.contributor.corporateUniversity of the Philippines, Baguio Cordillera Studies Center: Philippinesen
local.profile.schoolSchool of Environmental & Rural Scienceen
local.profile.schoolSchool of Environmental and Rural Scienceen
local.profile.emaildnjavier@up.edu.phen
local.profile.emaillkumar@une.edu.auen
local.output.categoryXen
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.publisher.placeArmidale, New South Wales, Australiaen
local.contributor.lastnameJavieren
local.contributor.lastnameKumaren
dc.identifier.profiledjavieren
dc.identifier.staffune-id:lkumaren
local.profile.orcid0000-0002-1384-0004en
local.profile.orcid0000-0002-9205-756Xen
local.profile.roleauthoren
local.profile.rolesupervisoren
local.identifier.unepublicationidune:1959.11/215377en
dc.date.deposit2018-06-27en
dc.identifier.academiclevelStudenten
dc.identifier.academiclevelAcademicen
local.date.disposal2021-04-01en
local.title.maintitleInvestigating landslide triggering rainfall and susceptibility modelling in northern Philippinesen
local.relation.fundingsourcenoteUnited Nations - World Food Program granten
local.output.categorydescriptionX Dataseten
local.search.authorJavier, Dymphnaen
local.search.supervisorKumar, Laliten
dcterms.rightsHolder.managedbySchool of Environmental & Rural Science-
local.datasetcontact.nameDymphna Javieren
local.datasetcontact.emaildnjavier@up.edu.phen
local.datasetcustodian.nameLalit Kumaren
local.datasetcustodian.emaillkumar@une.edu.auen
local.datasetcontact.detailsDymphna Javier - dnjavier@up.edu.phen
local.datasetcustodian.detailsLalit Kumar - lkumar@une.edu.auen
dcterms.ispartof.projectInvestigating landslide triggering rainfall and susceptibility modelling in northern Philippines-
dcterms.source.datasetlocationUniveristy of New Englanden
local.uneassociationUnknownen
local.year.published2018en
local.subject.for2020410406 Natural resource managementen
local.subject.for2020410405 Environmental rehabilitation and restorationen
local.subject.seo2020180604 Rehabilitation or conservation of terrestrial environmentsen
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School of Environmental and Rural Science
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