Luke
 

Predicting forest growth based on airborne light detection and ranging data, climate data, and a simplified process-based model

Tietueen suppeat tiedot
dc.contributor.authorHärkönen, S.-
dc.contributor.authorTokola, T.-
dc.contributor.authorPackalén, P.-
dc.contributor.authorKorhonen, L.-
dc.contributor.authorMäkelä, A.-
dc.contributor.departmentMetsäntutkimuslaitos-
dc.date.accessioned2015-06-25T10:42:09Z
dc.date.accessioned2025-05-29T01:07:50Z
dc.date.available2015-06-25T10:42:09Z
dc.date.issued2013-
dc.format.bitstreamfalse
dc.format.pagerange364-375-
dc.identifier.bibliographicCitationHärkönen, S., Tokola, T., Packalén, P., Korhonen, L. & Mäkelä, A. 2013. Predicting forest growth based on airborne light detection and ranging data, climate data, and a simplified process-based model. Canadian Journal of Forest Research 43(4): 364-375.-
dc.identifier.elss1208-6037-
dc.identifier.olddbid458994
dc.identifier.oldhandle10024/517456
dc.identifier.urihttps://jukuri.luke.fi/handle/11111/50954
dc.identifier.urlhttp://www.nrcresearchpress.com/doi/full/10.1139/cjfr-2012-0295#.UYIbBsrlBI0-
dc.language.isoeng-
dc.metlaperson4908-
dc.metlasuorite80287-
dc.ohjelmaMetla / Metsät ja vesi (H2O)-
dc.publisher.countryCA-
dc.relation.doi10.1139/cjfr-2012-0295-
dc.relation.ispartofseriesCanadian Journal of Forest Research-
dc.relation.issn0045-5067-
dc.relation.numberinseries4-
dc.relation.volume43-
dc.source.identifierhttps://jukuri.luke.fi/handle/10024/517456
dc.teh8534-
dc.titlePredicting forest growth based on airborne light detection and ranging data, climate data, and a simplified process-based model-
dc.type.okmfi=A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä|sv=A1 Originalartikel i en vetenskaplig tidskrift|en=A1 Journal article (refereed), original research|-

Tiedostot

Kokoelmat

Julkaisut