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Interpretation of Forest Harvest Rec...

Williams, Griffin Richard.

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Interpretation of Forest Harvest Recovery Using Field-Based and Spectral Metrics in a Landsat Time Series in Northwestern Ontario.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Interpretation of Forest Harvest Recovery Using Field-Based and Spectral Metrics in a Landsat Time Series in Northwestern Ontario./
作者:	Williams, Griffin Richard.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2020,
面頁冊數:	91 p.
附註:	Source: Masters Abstracts International, Volume: 81-05.
Contained By:	Masters Abstracts International81-05.
標題:	Remote sensing. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=27547904
ISBN:	9781392898086

Interpretation of Forest Harvest Recovery Using Field-Based and Spectral Metrics in a Landsat Time Series in Northwestern Ontario.
Williams, Griffin Richard.

Interpretation of Forest Harvest Recovery Using Field-Based and Spectral Metrics in a Landsat Time Series in Northwestern Ontario. - Ann Arbor : ProQuest Dissertations & Theses, 2020 - 91 p.

Source: Masters Abstracts International, Volume: 81-05.

Thesis (M.S.)--Trent University (Canada), 2020.

This item must not be sold to any third party vendors.

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 Free to Grow assessment. A Free to Grow assessment is used in Ontario to determine whether a disturbed site will likely achieve a desired future state, i.e., is recovered according to a forestry perspective. The objective of this research was to determine the relationship between a pixel-based Landsat Time Series of spectral recovery and the results of Free to Grow assessments. Spectral trajectories were generated from representative pixels within known harvested forest areas. Results indicate that while Free to Grow sites often achieve spectral recovery (>90%), many non-Free to Grow sites were classified as spectrally recovered, suggesting that improved methods of spectral recovery monitoring are needed.

ISBN: 9781392898086Subjects--Topical Terms:

535394
Remote sensing.
Subjects--Index Terms:

Forest recovery

Interpretation of Forest Harvest Recovery Using Field-Based and Spectral Metrics in a Landsat Time Series in Northwestern Ontario.
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520 $a 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 Free to Grow assessment. A Free to Grow assessment is used in Ontario to determine whether a disturbed site will likely achieve a desired future state, i.e., is recovered according to a forestry perspective. The objective of this research was to determine the relationship between a pixel-based Landsat Time Series of spectral recovery and the results of Free to Grow assessments. Spectral trajectories were generated from representative pixels within known harvested forest areas. Results indicate that while Free to Grow sites often achieve spectral recovery (>90%), many non-Free to Grow sites were classified as spectrally recovered, suggesting that improved methods of spectral recovery monitoring are needed.
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