Analysing vegetation changes in continental Antarctica using modern UAV-based technology

In 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 2...

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Bibliographic Details
Main Author: Pan, Yueming
Format: Article in Journal/Newspaper
Language:unknown
Published: The University of Edinburgh 2020
Subjects:
Online Access:https://dx.doi.org/10.7488/era/919
https://era.ed.ac.uk/handle/1842/37638
id ftdatacite:10.7488/era/919
record_format openpolar
spelling ftdatacite:10.7488/era/919 2023-05-15T13:56:39+02:00 Analysing vegetation changes in continental Antarctica using modern UAV-based technology Pan, Yueming 2020 https://dx.doi.org/10.7488/era/919 https://era.ed.ac.uk/handle/1842/37638 unknown The University of Edinburgh continental Antarctica; the Rudolph plot; UAV investigation; object-based analysis; Random Forest; vegetation coverage changes CreativeWork article 2020 ftdatacite https://doi.org/10.7488/era/919 2021-11-05T12:55:41Z In 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. Article in Journal/Newspaper Antarc* Antarctica DataCite Metadata Store (German National Library of Science and Technology) Hallett ENVELOPE(170.217,170.217,-72.317,-72.317) Rudolph ENVELOPE(-62.433,-62.433,-64.900,-64.900) Cape Hallett ENVELOPE(170.217,170.217,-72.317,-72.317)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language unknown
topic continental Antarctica; the Rudolph plot; UAV investigation; object-based analysis; Random Forest; vegetation coverage changes
spellingShingle continental Antarctica; the Rudolph plot; UAV investigation; object-based analysis; Random Forest; vegetation coverage changes
Pan, Yueming
Analysing vegetation changes in continental Antarctica using modern UAV-based technology
topic_facet continental Antarctica; the Rudolph plot; UAV investigation; object-based analysis; Random Forest; vegetation coverage changes
description In 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.
format Article in Journal/Newspaper
author Pan, Yueming
author_facet Pan, Yueming
author_sort Pan, Yueming
title Analysing vegetation changes in continental Antarctica using modern UAV-based technology
title_short Analysing vegetation changes in continental Antarctica using modern UAV-based technology
title_full Analysing vegetation changes in continental Antarctica using modern UAV-based technology
title_fullStr Analysing vegetation changes in continental Antarctica using modern UAV-based technology
title_full_unstemmed Analysing vegetation changes in continental Antarctica using modern UAV-based technology
title_sort analysing vegetation changes in continental antarctica using modern uav-based technology
publisher The University of Edinburgh
publishDate 2020
url https://dx.doi.org/10.7488/era/919
https://era.ed.ac.uk/handle/1842/37638
long_lat ENVELOPE(170.217,170.217,-72.317,-72.317)
ENVELOPE(-62.433,-62.433,-64.900,-64.900)
ENVELOPE(170.217,170.217,-72.317,-72.317)
geographic Hallett
Rudolph
Cape Hallett
geographic_facet Hallett
Rudolph
Cape Hallett
genre Antarc*
Antarctica
genre_facet Antarc*
Antarctica
op_doi https://doi.org/10.7488/era/919
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