Trent University Graduate Thesis Collection

Item Description
Identifier
tula:etd
Type
Collection
Language
eng
Extent
1 item
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Copyright for all items in the Trent University Graduate Thesis Collection is held by the author, with all rights reserved, unless otherwise noted.
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Interpretation of forest harvest recovery using field-based and spectral metrics in a Landsat time series in Northwestern Ontario

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Year: 2020, 2020
Member of: Trent University Graduate Thesis Collection
Name(s): Creator (cre): Williams, Griffin, Thesis advisor (ths): Franklin, Steven E, Degree committee member (dgc): Schaefer, James, Degree committee member (dgc): Gibson, Carey, Degree granting institution (dgg): Trent University
Abstract: <p>The forestry sector has a well-developed history of using remote sensing to identify structural characteristics of forests and to detect and attribute changes that occur in forested landscapes. Monitoring the recovery of disturbed forests is an important factor in long term forest management. However, forest that is recovered spectrally may not be recovered when considered in terms of a… more
Full Text: Interpretation of forest harvest recovery using field-based and spectral metrics in a Landsat time series in Northwestern Ontario A Thesis Submitted to the Committee on Graduate Studies in Partial Fulfilment of the Requirements for the Degree of Master of …