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Using auxiliary data to rationalize smartphone-based pre-harvest forest mensuration

dc.contributor.authorPitkänen, Timo P
dc.contributor.authorRäty, Minna
dc.contributor.authorHyvönen, Pekka
dc.contributor.authorKorhonen, Kari T
dc.contributor.authorVauhkonen, Jari
dc.contributor.departmentid4100310510
dc.contributor.departmentid4100310510
dc.contributor.departmentid4100310510
dc.contributor.departmentid4100310510
dc.contributor.orcidhttps://orcid.org/0000-0001-5389-8713
dc.contributor.orcidhttps://orcid.org/0000-0001-9898-8712
dc.contributor.orcidhttps://orcid.org/0000-0002-2283-8571
dc.contributor.organizationLuonnonvarakeskus
dc.date.accessioned2021-08-25T07:09:10Z
dc.date.accessioned2025-05-27T17:58:35Z
dc.date.available2021-08-25T07:09:10Z
dc.date.issued2021
dc.description.abstractAccurate mensuration of forest stands for pre-harvest planning will pose high costs if carried out by a professional forester as an on-site evaluation. The costs could be reduced if a person with limited mensuration expertise could collect the required data using a smartphone-based system such as TRESTIMA® Forest Inventory System. Without prior information, the field sample with sufficient number of measurement points over the whole stand should be selected, so that the entire variation will be covered.We present and test a rational framework based on selecting the sampling locations according to auxiliary data. As auxiliary variables,we use various spatial data sources indicating forests’ structural or spectral variation, as well as previously predicted inventory variables. We construct two variants of sampling schemes based on the local pivotal method, weighted by the auxiliary data, and compare the results to simple random sampling (SRS) with corresponding sample sizes. According to our findings, the benefits of auxiliary data depend on the considered stand, species and timber assortment. The use of auxiliary data leads generally to improved results and up to three times higher efficiency (i.e. lower variance) as compared with SRS.We conclude that the framework of applying auxiliary data has high capabilities in rationalizing the sampling efforts with little drawbacks, consequently providing potential to improve the results with similar sample size and possibility to use of non-specialists for the pre-harvest inventory.
dc.description.vuosik2021
dc.format.bitstreamtrue
dc.identifier.olddbid490355
dc.identifier.oldhandle10024/547810
dc.identifier.urihttps://jukuri.luke.fi/handle/11111/5261
dc.identifier.urnURN:NBN:fi-fe2021082544155
dc.language.isoen
dc.okm.corporatecopublicationei
dc.okm.discipline4112
dc.okm.internationalcopublicationei
dc.okm.openaccess2 = Hybridijulkaisukanavassa ilmestynyt avoin julkaisu
dc.okm.selfarchivedon
dc.publisherOxford Academic
dc.relation.doi10.1093/forestry/cpab039
dc.relation.ispartofseriesForestry
dc.relation.issn0015-752X
dc.relation.issn1464-3626
dc.rightsCC BY 4.0
dc.source.identifierhttps://jukuri.luke.fi/handle/10024/547810
dc.subject.ysoforest mensuration
dc.subject.ysosmartphone-based systems
dc.subject.ysopre-harvest inventory
dc.teh41007-00120300
dc.titleUsing auxiliary data to rationalize smartphone-based pre-harvest forest mensuration
dc.typepublication
dc.type.okmfi=A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä|sv=A1 Originalartikel i en vetenskaplig tidskrift|en=A1 Journal article (refereed), original research|
dc.type.versionfi=Publisher's version|sv=Publisher's version|en=Publisher's version|

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