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dc.contributor.advisorColesie, Claudiaen
dc.contributor.authorPan, Yuemingen
dc.date.accessioned2021-05-13T18:19:45Z
dc.date.available2021-05-13T18:19:45Z
dc.date.issued2020-08-20
dc.identifier.urihttps://hdl.handle.net/1842/37638
dc.identifier.urihttp://dx.doi.org/10.7488/era/919
dc.description.abstractIn the context of global climate change, changes in vegetation cover have attracted much attention. Antarctica represents an ideal open-air laboratory to do so and the Rudolph plot (120 m * 30 m) created in 1962 originally at Cape Hallett offers a unique long-term research opportunity. In December 2018, a UAV mission was launched over this region, and the obtained high-resolution RGB image was applied in this study to present the coverage and distribution pattern of algae, lichen and moss according to the object-based classification within a unit of 1 m2 square. The data have been compared to an older data set collected in 2004, allowing to quantitatively assess vegetation change over 15 years. The object-based image analysis had been processed based on the multi-resolution segmentation and Random Forest classification in eCognition. Results showed that the total vegetation-covered area in 2018 was 556.64 m2, accounting for 14.27% of the whole plot, of which moss occupied more than half of the area. And the distribution of vegetation was scattered but mainly concentrated in flat terrain. Compared with the data in 2004, the overall vegetation-coverage had significantly decreased, especially dense vegetation disappeared, but some areas have been newly colonised as well. It could be suggested that such complex changes may be related to regional microenvironmental factors such as water availability.en
dc.language.isoen
dc.publisherThe University of Edinburghen
dc.subjectcontinental Antarctica; the Rudolph plot; UAV investigation; object-based analysis; Random Forest; vegetation coverage changesen
dc.titleAnalysing vegetation changes in continental Antarctica using modern UAV-based technologyen
dc.typeThesis or Dissertationen
dc.type.qualificationlevelMastersen
dc.type.qualificationnameMSc Master of Scienceen


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