Please use this identifier to cite or link to this item: https://knowledgecommons.lakeheadu.ca/handle/2453/4556
Full metadata record
DC FieldValueLanguage
dc.contributor.advisorMeyer, Lense-
dc.contributor.advisorCrowe, Kevin-
dc.contributor.authorSweeney, Robert-
dc.date.accessioned2019-12-23T19:41:11Z-
dc.date.available2019-12-23T19:41:11Z-
dc.date.created2019-
dc.date.issued2019-
dc.identifier.urihttp://knowledgecommons.lakeheadu.ca/handle/2453/4556-
dc.description.abstractThis thesis project serves as a tool for resource managers looking to delineate gaps in the forest canopy, where a Canopy Height Model raster is available. Once identified, analysis is performed in order to assess the prevalence and distribution of canopy gaps within a forest stands. Results are written to Ontario FRI data of the corresponding area.en_US
dc.language.isoen_USen_US
dc.subjectForest canopy gapsen_US
dc.subjectBoreal foresten_US
dc.subjectForest structureen_US
dc.subjectForest ecosystemen_US
dc.titleA script for the automatic delineation of canopy gaps from raster images and incorporation of analysis with Ontario’s FRI datasetsen_US
dc.typeThesisen_US
etd.degree.nameHonours Bachelor of Science in Forestryen_US
etd.degree.levelBacheloren_US
etd.degree.disciplineNatural Resources Managementen_US
etd.degree.grantorLakehead Universityen_US
Appears in Collections:Undergraduate theses

Files in This Item:
File Description SizeFormat 
SweeneyR2019b-1b.pdf1.88 MBAdobe PDFThumbnail
View/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.