Change Detection from High Resolution Satellite Imagery ...

This study analyses whether change detection techniques can identify vegetation changes in Macquarie Island, using high resolution Quickbird satellite imagery; it also takes fuzzy aspects of changes into account in order to explore and discover the uncertainty in the change detection outputs. As Mac...

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Main Author: Fu, Xiao Ming
Format: Thesis
Language:unknown
Published: University Of Tasmania 2023
Subjects:
Online Access:https://dx.doi.org/10.25959/23232269
https://figshare.utas.edu.au/articles/thesis/Change_Detection_from_High_Resolution_Satellite_Imagery/23232269
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spelling ftdatacite:10.25959/23232269 2023-06-11T04:13:55+02:00 Change Detection from High Resolution Satellite Imagery ... Fu, Xiao Ming 2023 https://dx.doi.org/10.25959/23232269 https://figshare.utas.edu.au/articles/thesis/Change_Detection_from_High_Resolution_Satellite_Imagery/23232269 unknown University Of Tasmania In Copyright http://rightsstatements.org/vocab/InC/1.0/ article-journal Text ScholarlyArticle Thesis 2023 ftdatacite https://doi.org/10.25959/23232269 2023-06-01T12:11:25Z This study analyses whether change detection techniques can identify vegetation changes in Macquarie Island, using high resolution Quickbird satellite imagery; it also takes fuzzy aspects of changes into account in order to explore and discover the uncertainty in the change detection outputs. As Macquarie Island has been severely affected by rabbit grazing, this study probes into the vegetation changes on it by different change detection techniques, with a view to help people make proper management strategies to protect Macquarie Island's unique environment. Besides, because of its geographically isolated location, monitoring changes on the Island is most efficiently achieved using satellite imagery. Traditional change detection techniques can distinguish change from no change in a binary way; incorporating fuzziness is a new approach for change detection as it extends the binary results to the fuzzy results by revealing the transitional nature of the natural environment in the most real way, thus a more ... Thesis Macquarie Island DataCite Metadata Store (German National Library of Science and Technology)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language unknown
description This study analyses whether change detection techniques can identify vegetation changes in Macquarie Island, using high resolution Quickbird satellite imagery; it also takes fuzzy aspects of changes into account in order to explore and discover the uncertainty in the change detection outputs. As Macquarie Island has been severely affected by rabbit grazing, this study probes into the vegetation changes on it by different change detection techniques, with a view to help people make proper management strategies to protect Macquarie Island's unique environment. Besides, because of its geographically isolated location, monitoring changes on the Island is most efficiently achieved using satellite imagery. Traditional change detection techniques can distinguish change from no change in a binary way; incorporating fuzziness is a new approach for change detection as it extends the binary results to the fuzzy results by revealing the transitional nature of the natural environment in the most real way, thus a more ...
format Thesis
author Fu, Xiao Ming
spellingShingle Fu, Xiao Ming
Change Detection from High Resolution Satellite Imagery ...
author_facet Fu, Xiao Ming
author_sort Fu, Xiao Ming
title Change Detection from High Resolution Satellite Imagery ...
title_short Change Detection from High Resolution Satellite Imagery ...
title_full Change Detection from High Resolution Satellite Imagery ...
title_fullStr Change Detection from High Resolution Satellite Imagery ...
title_full_unstemmed Change Detection from High Resolution Satellite Imagery ...
title_sort change detection from high resolution satellite imagery ...
publisher University Of Tasmania
publishDate 2023
url https://dx.doi.org/10.25959/23232269
https://figshare.utas.edu.au/articles/thesis/Change_Detection_from_High_Resolution_Satellite_Imagery/23232269
genre Macquarie Island
genre_facet Macquarie Island
op_rights In Copyright
http://rightsstatements.org/vocab/InC/1.0/
op_doi https://doi.org/10.25959/23232269
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