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Using coarse scale forest variables as ancillary information and weighting of variables in k-NN estimation: a genetic algorithm approach

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dc.contributor.authorTomppo, E.-
dc.contributor.authorHalme, M.-
dc.contributor.departmentMetsäntutkimuslaitos-
dc.date.accessioned2015-06-25T10:36:53Z
dc.date.accessioned2025-05-29T03:31:08Z
dc.date.available2015-06-25T10:36:53Z
dc.date.issued2004-
dc.format.bitstreamfalse
dc.format.pagerange1-20-
dc.identifier.bibliographicCitationTomppo, E. & Halme, M. 2004. Using coarse scale forest variables as ancillary information and weighting of variables in k-NN estimation: a genetic algorithm approach. Remote Sensing of Environment 92: 1-20.-
dc.identifier.olddbid452911
dc.identifier.oldhandle10024/511373
dc.identifier.urihttps://jukuri.luke.fi/handle/11111/55189
dc.language.isoeng-
dc.lukeperson12597-
dc.metlaperson272-
dc.metlasuorite42260-
dc.ohjelmaMetla / Valtakunnan metsien inventointi (VM1)-
dc.publisher.countryUS-
dc.relation.doi10.1016/j.rse.2004.04.003-
dc.relation.ispartofseriesRemote Sensing of Environment-
dc.relation.issn0034-4257-
dc.relation.numberinseries92-
dc.source.identifierhttps://jukuri.luke.fi/handle/10024/511373
dc.subject.keywordgeneettinen algoritmi-
dc.subject.keywordk-lähimmän naapurin menetelmä-
dc.subject.keywordmonilähteinen inventointi-
dc.teh3241-
dc.titleUsing coarse scale forest variables as ancillary information and weighting of variables in k-NN estimation: a genetic algorithm approach-
dc.type.okmfi=A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä|sv=A1 Originalartikel i en vetenskaplig tidskrift|en=A1 Journal article (refereed), original research|-

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