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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University Of Tasmania
2023
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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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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) |
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DataCite Metadata Store (German National Library of Science and Technology) |
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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 |
_version_ |
1768391343106686976 |