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dc.contributor.authorKorhonen, L
dc.contributor.authorRepola, J
dc.contributor.authorKarjalainen, T
dc.contributor.authorPackalen, P
dc.contributor.authorMaltamo, M
dc.date.accessioned2020-01-23T09:55:28Z
dc.date.available2020-01-23T09:55:28Z
dc.date.issued2019
dc.identifier.urihttps://erepo.uef.fi/handle/123456789/7969
dc.description.abstractAirborne laser scanning (ALS) data is nowadays often available for forest inventory purposes, but adequate field data for constructing new forest attribute models for each area may be lacking. Thus there is a need to study the transferability of existing ALS-based models among different inventory areas. The objective of our study was to apply ALS-based mixed models to estimate the diameter, height and crown base height of individual sawlog sized Scots pines (Pinus sylvestris L.) at three different inventory sites in eastern Finland. Different ALS sensors and acquisition parameters were used at each site. Multivariate mixed-effects models were fitted at one site and the models were validated at two independent test sites. Validation was carried out by applying the fixed parts of the mixed models as such, and by calibrating them using 1–3 sample trees per plot. The results showed that the relative RMSEs of the predictions were 1.2–6.5 percent points larger at the test sites compared to the training site. Systematic errors of 2.4–6.2 percent points also emerged at the test sites. However, both the RMSEs and the systematic errors decreased with calibration. The results showed that mixed-effects models of individual tree attributes can be successfully transferred and calibrated to other ALS inventory areas in a level of accuracy that appears suitable for practical applications.
dc.language.isoenglanti
dc.publisherFinnish Society of Forest Science
dc.relation.ispartofseriesSilva fennica
dc.relation.urihttp://dx.doi.org/10.14214/sf.10179
dc.rightsCC BY-SA https://creativecommons.org/licenses/by-sa/4.0/
dc.subjectPinus sylvestris
dc.subjectcrown base height
dc.subjecthierarchical data
dc.subjectindividual tree detection
dc.subjectLiDAR
dc.subjectsawlog quality
dc.titleTransferability and calibration of airborne laser scanning based mixed-effects models to estimate the attributes of sawlog-sized Scots pines
dc.description.versionpublished version
dc.contributor.departmentSchool of Forest Sciences, activities
uef.solecris.id64865995en
dc.type.publicationTieteelliset aikakauslehtiartikkelit
dc.rights.accessrights© Authors
dc.relation.doi10.14214/sf.10179
dc.description.reviewstatuspeerReviewed
dc.publisher.countrySuomi
dc.relation.articlenumber10179
dc.relation.issn0037-5330
dc.relation.issue3
dc.relation.volume53
dc.rights.accesslevelopenAccess
dc.type.okmA1
uef.solecris.openaccessOpen access -julkaisukanavassa ilmestynyt julkaisu


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