a script for the automatic delineation of canopy gaps from raster images and incorporation of analysis with ontario’s fri datasets

dc.contributor.advisor	meyer, lense
dc.contributor.advisor	crowe, kevin
dc.contributor.author	sweeney, robert
dc.date.accessioned	2019-12-23t19:41:11z
dc.date.available	2019-12-23t19:41:11z
dc.date.created	2019
dc.date.issued	2019
dc.identifier.uri	http://knowledgecommons.lakeheadu.ca/handle/2453/4556
dc.description.abstract	this 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.iso	en_us	en_us
dc.subject	forest canopy gaps	en_us
dc.subject	boreal forest	en_us
dc.subject	forest structure	en_us
dc.subject	forest ecosystem	en_us
dc.title	a script for the automatic delineation of canopy gaps from raster images and incorporation of analysis with ontario’s fri datasets	en_us
dc.type	thesis	en_us
etd.degree.name	honours bachelor of science in forestry	en_us
etd.degree.level	bachelor	en_us
etd.degree.discipline	natural resources management	en_us
etd.degree.grantor	阿根廷vs墨西哥竞猜	en_us