dc.creatorSilva, Carlos Alberto
dc.creatorHudak, Andrew Thomas
dc.creatorKlauberg, Carine
dc.creatorVierling, Lee Alexandre
dc.creatorGonzalez-Benecke, Carlos
dc.creatorCarvalho, Samuel de Padua Chaves
dc.creatorRodriguez, Luiz Carlos Estraviz
dc.creatorCardil, Adrián
dc.date.accessioned2017-07-02T04:17:09Z
dc.date.accessioned2018-07-04T17:13:54Z
dc.date.available2017-07-02T04:17:09Z
dc.date.available2018-07-04T17:13:54Z
dc.date.created2017-07-02T04:17:09Z
dc.date.issued2017
dc.identifierCarbon Balance and Management. 2017 Jun 30;12(1):14
dc.identifierhttp://www.producao.usp.br/handle/BDPI/51401
dc.identifier10.1186/s13021-017-0082-0
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1646441
dc.languageoriginal article
dc.publisherBioMed Central
dc.relationCarbon Balance and Management
dc.rightsThe Author(s)
dc.rightsopenAccess
dc.subjectCarbon modeling
dc.subjectRemote sensing
dc.subjectModeling
dc.subjectForest inventory
dc.subjectRandom forest
dc.titleErratum to: Combined effect of pulse density and grid cell size on predicting and mapping aboveground carbon in fast-growing Eucalyptus forest plantation using airborne LiDAR data


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