Lakehead University Library Logo
    • Login
    View Item 
    •   Knowledge Commons
    • Electronic Theses and Dissertations
    • Undergraduate theses
    • View Item
    •   Knowledge Commons
    • Electronic Theses and Dissertations
    • Undergraduate theses
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.
    quick search

    Browse

    All of Knowledge CommonsCommunities & CollectionsBy Issue DateAuthorTitleSubjectDisciplineAdvisorCommittee MemberThis CollectionBy Issue DateAuthorTitleSubjectDisciplineAdvisorCommittee Member

    My Account

    Login

    Statistics

    View Usage Statistics

    The estimation of boreal forest properties using spectral indices

    Thumbnail

    View/Open

    RewuckiC2018b-1b.pdf (933.5Kb)

    Date

    2018

    Author

    Rewucki, Camilla

    Degree

    Honours Bachelor of Science in Forestry

    Discipline

    Natural Resources Management

    Subject

    Aerial imagery
    Biomass
    Boreal forest
    Remote sensing

    Metadata

    Show full item record

    Abstract

    The field of forestry has evolved to meet several objectives, including timber and other forest product production, tourism and recreation, habitat and wildlife management and climate change monitoring. As the field encompasses and affects several values, both public and private, the management of the forest and its properties needs to be efficient, timely, and accurate. As a result, there has been a lot of investment put into forest monitoring strategies, particularly with remote sensing. Several researchers have investigated the use of spectral indices to acquire certain forest attributes, such as biomass and characteristics of forest structure (age, basal area, species composition, etc.). Though spectral indices employed on multispectral images have been proven beneficial, other techniques such as texture analysis, hyperspectral remote sensing, RADAR, and LiDAR may be more useful in discriminating quantitative features of the forest and be favourable in certain applications, such as understory characterization. Studies of various spectral indices and other remote sensing techniques have been explored to determine their relatability and accuracy, to determine their usefulness in acquiring measurable properties in the forest. As technology and information advances, hopefully their capabilities will too.

    URI

    http://knowledgecommons.lakeheadu.ca/handle/2453/4420

    Collections

    • Undergraduate theses

    Lakehead University Library
    Contact Us | Send Feedback

     


    Lakehead University Library
    Contact Us | Send Feedback