Using a micro-UAV for ultra-high resolution multi-sensor observations of Antarctic moss beds
This study is the first to use an Unmanned Aerial Vehicle (UAV) for mapping moss beds in Antarctica. Mosses can be used as indicators for the regional effects of climate change. Mapping and monitoring their extent and health is therefore important. UAV aerial photography provides ultra-high resoluti...
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ftunivwollongong:oai:ro.uow.edu.au:smhpapers-1551 2023-05-15T13:53:47+02:00 Using a micro-UAV for ultra-high resolution multi-sensor observations of Antarctic moss beds Lucieer, Arko Robinson, Sharon Turner, Darren Harwin, Steve Kelcey, Josh 2012-01-01T08:00:00Z application/pdf https://ro.uow.edu.au/smhpapers/538 https://ro.uow.edu.au/cgi/viewcontent.cgi?article=1551&context=smhpapers unknown Research Online https://ro.uow.edu.au/smhpapers/538 https://ro.uow.edu.au/cgi/viewcontent.cgi?article=1551&context=smhpapers Faculty of Science, Medicine and Health - Papers: part A uav multi micro high sensor ultra observations resolution beds moss antarctic Medicine and Health Sciences Social and Behavioral Sciences presentation 2012 ftunivwollongong 2020-02-25T10:58:16Z This study is the first to use an Unmanned Aerial Vehicle (UAV) for mapping moss beds in Antarctica. Mosses can be used as indicators for the regional effects of climate change. Mapping and monitoring their extent and health is therefore important. UAV aerial photography provides ultra-high resolution spatial data for this purpose. We developed a technique to extract an extremely dense 3D point cloud from overlapping UAV aerial photography based on structure from motion (SfM) algorithms. The combination of SfM and patch-based multi-view stereo image vision algorithms resulted in a 2 cm resolution digital terrain model (DTM). This detailed topographic information combined with vegetation indices derived from a 6-band multispectral sensor enabled the assessment of moss bed health. This novel UAV system has allowed us to map different environmental characteristics of the moss beds at ultra-high resolution providing us with a better understanding of these fragile Antarctic ecosystems. The paper provides details on the different UAV instruments and the image processing framework resulting in DEMs, vegetation indices, and terrain derivatives. Conference Object Antarc* Antarctic Antarctica University of Wollongong, Australia: Research Online Antarctic |
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Open Polar |
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University of Wollongong, Australia: Research Online |
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ftunivwollongong |
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topic |
uav multi micro high sensor ultra observations resolution beds moss antarctic Medicine and Health Sciences Social and Behavioral Sciences |
spellingShingle |
uav multi micro high sensor ultra observations resolution beds moss antarctic Medicine and Health Sciences Social and Behavioral Sciences Lucieer, Arko Robinson, Sharon Turner, Darren Harwin, Steve Kelcey, Josh Using a micro-UAV for ultra-high resolution multi-sensor observations of Antarctic moss beds |
topic_facet |
uav multi micro high sensor ultra observations resolution beds moss antarctic Medicine and Health Sciences Social and Behavioral Sciences |
description |
This study is the first to use an Unmanned Aerial Vehicle (UAV) for mapping moss beds in Antarctica. Mosses can be used as indicators for the regional effects of climate change. Mapping and monitoring their extent and health is therefore important. UAV aerial photography provides ultra-high resolution spatial data for this purpose. We developed a technique to extract an extremely dense 3D point cloud from overlapping UAV aerial photography based on structure from motion (SfM) algorithms. The combination of SfM and patch-based multi-view stereo image vision algorithms resulted in a 2 cm resolution digital terrain model (DTM). This detailed topographic information combined with vegetation indices derived from a 6-band multispectral sensor enabled the assessment of moss bed health. This novel UAV system has allowed us to map different environmental characteristics of the moss beds at ultra-high resolution providing us with a better understanding of these fragile Antarctic ecosystems. The paper provides details on the different UAV instruments and the image processing framework resulting in DEMs, vegetation indices, and terrain derivatives. |
format |
Conference Object |
author |
Lucieer, Arko Robinson, Sharon Turner, Darren Harwin, Steve Kelcey, Josh |
author_facet |
Lucieer, Arko Robinson, Sharon Turner, Darren Harwin, Steve Kelcey, Josh |
author_sort |
Lucieer, Arko |
title |
Using a micro-UAV for ultra-high resolution multi-sensor observations of Antarctic moss beds |
title_short |
Using a micro-UAV for ultra-high resolution multi-sensor observations of Antarctic moss beds |
title_full |
Using a micro-UAV for ultra-high resolution multi-sensor observations of Antarctic moss beds |
title_fullStr |
Using a micro-UAV for ultra-high resolution multi-sensor observations of Antarctic moss beds |
title_full_unstemmed |
Using a micro-UAV for ultra-high resolution multi-sensor observations of Antarctic moss beds |
title_sort |
using a micro-uav for ultra-high resolution multi-sensor observations of antarctic moss beds |
publisher |
Research Online |
publishDate |
2012 |
url |
https://ro.uow.edu.au/smhpapers/538 https://ro.uow.edu.au/cgi/viewcontent.cgi?article=1551&context=smhpapers |
geographic |
Antarctic |
geographic_facet |
Antarctic |
genre |
Antarc* Antarctic Antarctica |
genre_facet |
Antarc* Antarctic Antarctica |
op_source |
Faculty of Science, Medicine and Health - Papers: part A |
op_relation |
https://ro.uow.edu.au/smhpapers/538 https://ro.uow.edu.au/cgi/viewcontent.cgi?article=1551&context=smhpapers |
_version_ |
1766259215761932288 |