Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS) — ##plugins.generic.mcfnsReadingTools.readingTools##

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Are Models the Answer?

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1.Title##plugins.generic.mcfnsReadingTools.titleLabel##Are Models the Answer?
2.Creator##plugins.generic.mcfnsReadingTools.creators##Kim Iles; Kim Iles & Associates; Kanada
3.Subject##plugins.generic.mcfnsReadingTools.keywords##LiDAR; Forest Inventory; Growth&Yield modeling; models; sampling; growth measurements; virtual timber cruising
3.Subject##plugins.generic.mcfnsReadingTools.disciplines##Remote Sensing; GIS
4.Description##plugins.generic.mcfnsReadingTools.abstract##This note gives a short discussion about using models with or without correction by field measurements in forest inventory. While modelling with LiDAR may be tempting, the author would argue that these inherently limited models are best used for their ability to distribute overall totals after the fact, or to assist a more general unbiased inventory approach using models as an initial estimate.
5.Publisher##plugins.generic.mcfnsReadingTools.publisher##Contemporary Journal Concept Press
6.Contributor##plugins.generic.mcfnsReadingTools.contributors##
7.Date##plugins.generic.mcfnsReadingTools.date##2018-03-30
8.Type##plugins.generic.mcfnsReadingTools.type##Text.Serial.Journal; Discussion
9.Format##plugins.generic.mcfnsReadingTools.format##PDF (engleski); application/pdf
10.Identifier##plugins.generic.mcfnsReadingTools.identifier##https://mcfns.com/index.php/Journal/hr/article/view/10.2
11.Source##plugins.generic.mcfnsReadingTools.source##Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Svezak 10 Br. 1: MCFNS March 30, 2018; 6-8 (3)
11.Source##plugins.generic.mcfnsReadingTools.onlineIssn##1946-7664
12.Language##plugins.generic.mcfnsReadingTools.language##en
13.Relation##plugins.generic.mcfnsReadingTools.suppFiles##
14.Coverage##plugins.generic.mcfnsReadingTools.coverageGeo##
15.Rights##plugins.generic.mcfnsReadingTools.rights##Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS) 2018