Auxiliary information resolution effects on small area estimation in plantation forest inventory

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dc.contributor.authorGreen, P. Coreyen
dc.contributor.authorBurkhart, Harold E.en
dc.contributor.authorCoulston, John W.en
dc.contributor.authorRadtke, Philip J.en
dc.contributor.authorThomas, Valerie A.en
dc.contributor.departmentForest Resources and Environmental Conservationen
dc.date.accessioned2021-03-10T13:52:42Zen
dc.date.available2021-03-10T13:52:42Zen
dc.date.issued2020-10en
dc.description.abstractIn forest inventory, traditional ground-based resource assessments are often expensive and time-consuming forcing managers to reduce sample sizes to meet budgetary and logistical constraints. Small area estimation (SAE) is a class of statistical estimators that uses a combination of traditional survey data and linearly related auxiliary information to improve estimate precision. These techniques have been shown to improve the precision of stand-level inventory estimates in loblolly pine plantations using lidar height percentiles and thinning status as covariates. In this study, the effects of reduced lidar point-cloud densities and lower digital elevation model (DEM) spatial resolutions were investigated for total planted volume estimates using area-level SAE models. In the managed Piedmont pine plantation conditions evaluated, lower lidar point-cloud densities and DEM spatial resolutions were found to have minimal effects on estimates and precision. The results of this study are promising to those interested in incorporating SAE methods into forest inventory programs.en
dc.description.adminPublic domain – authored by a U.S. government employeeen
dc.description.notesThis work was supported by the Forest Modeling Research Cooperative; the Department of Forest Resources and Environmental Conservation; Virginia Tech; and the USDA McIntire-Stennis program (Project No. VA-136630).en
dc.description.sponsorshipForest Modeling Research Cooperative; Department of Forest Resources and Environmental Conservation; Virginia Tech; USDA McIntire-Stennis program [VA-136630]en
dc.format.mimetypeapplication/pdfen
dc.identifier.doihttps://doi.org/10.1093/forestry/cpaa012en
dc.identifier.eissn1464-3626en
dc.identifier.issn0015-752Xen
dc.identifier.issue5en
dc.identifier.urihttp://hdl.handle.net/10919/102643en
dc.identifier.volume93en
dc.language.isoenen
dc.rightsPublic Domainen
dc.rights.urihttp://creativecommons.org/publicdomain/mark/1.0/en
dc.titleAuxiliary information resolution effects on small area estimation in plantation forest inventoryen
dc.title.serialForestryen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten
dc.type.dcmitypeStillImageen

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