Kuzniarski, Conan (2019) Remote Sensed Monitoring of Seagrass Cover in the Gippsland Lakes, Victoria, Australia. [USQ Project]
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Abstract
Seagrass presence in waterways across the world is an integral part of a healthy aquatic environment. Seagrass meadows provide food, shelter and protection for a large range of aquatic species, along with the filtration of water and stability of benthic environments. This work explores the application of remote sensed data to reliably determine the spatial patterns of growth and decline in seagrass meadows within the Gippsland Lakes, Victoria, Australia, in an efficient and economical way. This was done over a 20-year, bi-annual time series from 1998 to 2017 at three separate sites in Lake King and Lake Victoria. Landsat 5 and Landsat 7 pre-processed data was obtained from Geoscience Australia, where a local NBAR correction has been applied to their entire archives of Landsat data. Grass GIS and QGIS open source software was used to perform a supervised classification of three and five band combinations to determine the most statically accurate combination to then apply to the entire time series. The five-band combination of red, green, blue and two near infra-red bands, produced marginally better results of 76% total accuracy and was therefore applied to the entire time series. Each of the three study sites; Gorcrow Point, Point King and Waddy Island, showed dissimilar trends in seagrass cover, however, correlations exist with historical research. These results will provide the scope for future work to enhance the use of this method in delivering significant savings in the monitoring of seagrass meadows in shallow coastal environments.
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| Item Type: | USQ Project |
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| Item Status: | Live Archive |
| Faculty/School / Institute/Centre: | Historic - Faculty of Health, Engineering and Sciences - School of Civil Engineering and Surveying (1 Jul 2013 - 31 Dec 2021) |
| Supervisors: | Campbell, Glenn |
| Qualification: | Bachelor of Spatial Science (Honours) (Surveying) |
| Date Deposited: | 18 Aug 2021 05:57 |
| Last Modified: | 26 Jun 2023 22:40 |
| URI: | https://sear.unisq.edu.au/id/eprint/43145 |
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