Please use this identifier to cite or link to this item:
https://knowledgecommons.lakeheadu.ca/handle/2453/4516
Title: | Classification of red pine stands using remote sensing techniques |
Authors: | Rideout, Hannah |
Keywords: | Red pine management;Remote sensing;Aerial photography;Boreal forest |
Issue Date: | 2019 |
Abstract: | Red pine is a historically important species for forestry in the boreal forest. Its large diameter and straight and knot free form has made it ideal for many purposes, including construction. With the new sudden turn towards renewing the forests in their historical state, understanding the current management requirements of red pine in their limited distribution is becoming more and more necessary. The use of remote sensing techniques and applications enable it so that these scattered stands can be inventoried and mapped accurately for management purposes. |
URI: | http://knowledgecommons.lakeheadu.ca/handle/2453/4516 |
metadata.etd.degree.discipline: | Natural Resources Management |
metadata.etd.degree.name: | Honours Bachelor of Science in Forestry |
metadata.etd.degree.level: | Bachelor |
metadata.dc.contributor.advisor: | Runesson, Ulf Bilyk, Alex |
Appears in Collections: | Undergraduate theses |
Files in This Item:
File | Description | Size | Format | |
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RideoutH2019b-2a.pdf | 16.96 MB | Adobe PDF | ![]() View/Open |
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