Enhancing the Irish NFI using k-nearest neighbors and a genetic algorithm

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dc.contributor.author McInerney, Daniel
dc.contributor.author Barrett, Frank
dc.contributor.author McRoberts, Ronald E.
dc.contributor.author Tomppo, Erkki
dc.date.accessioned 2019-01-07T11:37:01Z
dc.date.available 2019-01-07T11:37:01Z
dc.date.issued 2018-12
dc.identifier.citation McInerney , D , Barrett , F , McRoberts , R E & Tomppo , E 2018 , ' Enhancing the Irish NFI using k-nearest neighbors and a genetic algorithm ' , Canadian Journal of Forest Research , vol. 48 , no. 12 , pp. 1482-1494 . https://doi.org/10.1139/cjfr-2018-0011
dc.identifier.other PURE: 120074360
dc.identifier.other PURE UUID: bb56e556-ae16-48fe-be5f-589ff62c3037
dc.identifier.other WOS: 000451385300006
dc.identifier.other Scopus: 85057888741
dc.identifier.uri http://hdl.handle.net/10138/287676
dc.format.extent 13
dc.language.iso eng
dc.relation.ispartof Canadian Journal of Forest Research
dc.rights.uri info:eu-repo/semantics/openAccess
dc.subject forest inventory
dc.subject remote sensing
dc.subject k-NN
dc.subject nearest neighbors
dc.subject genetic algorithm
dc.subject REMOTELY-SENSED DATA
dc.subject FOREST VARIABLES
dc.subject VOLUME
dc.subject BIOMASS
dc.subject STOCK
dc.subject FIELD
dc.subject KNN
dc.subject 4112 Forestry
dc.title Enhancing the Irish NFI using k-nearest neighbors and a genetic algorithm en
dc.type Article
dc.contributor.organization Department of Forest Sciences
dc.contributor.organization University Management
dc.description.reviewstatus Peer reviewed
dc.relation.doi https://doi.org/10.1139/cjfr-2018-0011
dc.relation.issn 0045-5067
dc.rights.accesslevel openAccess
dc.type.version acceptedVersion

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