Predicting categorical forest variables using an improved k-Nearest Neighbour esimation and Landsat imagery
| dc.contributor.author | Tomppo, E.O. | - |
| dc.contributor.author | Gagliano, C. | - |
| dc.contributor.author | De Natale, F. | - |
| dc.contributor.author | Katila, M. | - |
| dc.contributor.author | McRoberts, R.E. | - |
| dc.contributor.department | Metsäntutkimuslaitos | - |
| dc.date.accessioned | 2015-06-25T10:39:55Z | |
| dc.date.accessioned | 2025-05-28T16:25:27Z | |
| dc.date.available | 2015-06-25T10:39:55Z | |
| dc.date.issued | 2009 | - |
| dc.format.bitstream | false | |
| dc.format.pagerange | 500-517 | - |
| dc.identifier.bibliographicCitation | Tomppo, E.O., Gagliano, C., De Natale, F., Katila, M. & McRoberts, R.E. 2009. Predicting categorical forest variables using an improved k-Nearest Neighbour esimation and Landsat imagery. Remote Sensing of Environment 113: 500-517. | - |
| dc.identifier.olddbid | 456444 | |
| dc.identifier.oldhandle | 10024/514906 | |
| dc.identifier.uri | https://jukuri.luke.fi/handle/11111/29822 | |
| dc.language.iso | eng | - |
| dc.lukeperson | 12597 | - |
| dc.lukeperson | 11510 | - |
| dc.metlaperson | 272 | - |
| dc.metlaperson | 634 | - |
| dc.metlasuorite | 62597 | - |
| dc.publisher.country | US | - |
| dc.relation.doi | 10.1016/j.rse.2008.05.021 | - |
| dc.relation.ispartofseries | Remote Sensing of Environment | - |
| dc.relation.issn | 0034-4257 | - |
| dc.relation.numberinseries | 113 | - |
| dc.source.identifier | https://jukuri.luke.fi/handle/10024/514906 | |
| dc.subject.keyword | Valtakunnan metsien inventointi | - |
| dc.subject.keyword | geneettinen algoritmi | - |
| dc.subject.keyword | ik-NN | - |
| dc.subject.keyword | kategoriset muuttujat | - |
| dc.teh | 3428 | - |
| dc.title | Predicting categorical forest variables using an improved k-Nearest Neighbour esimation and Landsat imagery | - |
| dc.type.okm | fi=A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä|sv=A1 Originalartikel i en vetenskaplig tidskrift|en=A1 Journal article (refereed), original research| | - |
