Unmanned Aerial Vehicle (UAV) remote sensing for hyper-spatial terrain mapping 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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University of Tasmania
2011
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ftunivtasecite:oai:ecite.utas.edu.au:70740 2023-05-15T13:34:56+02:00 Unmanned Aerial Vehicle (UAV) remote sensing for hyper-spatial terrain mapping of Antarctic moss beds Lucieer, A 2011 http://ecite.utas.edu.au/70740 en eng University of Tasmania Lucieer, A, Unmanned Aerial Vehicle (UAV) remote sensing for hyper-spatial terrain mapping of Antarctic moss beds, School of Geography & Environmental Studies Conference 2011, 28-29 June 2011, Hobart, pp. x-x. (2011) [Conference Extract] http://ecite.utas.edu.au/70740 Environmental Sciences Environmental Science and Management Environmental Management Conference Extract NonPeerReviewed 2011 ftunivtasecite 2019-12-13T21:38:20Z 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. The aim of this study is to use a novel computer vision technique, known as Structure from Motion(SfM) to generate a detailed 3D point cloud of the terrain from overlapping UAV photography. Conference Object Antarc* Antarctic Antarctica eCite UTAS (University of Tasmania) Antarctic |
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Open Polar |
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eCite UTAS (University of Tasmania) |
op_collection_id |
ftunivtasecite |
language |
English |
topic |
Environmental Sciences Environmental Science and Management Environmental Management |
spellingShingle |
Environmental Sciences Environmental Science and Management Environmental Management Lucieer, A Unmanned Aerial Vehicle (UAV) remote sensing for hyper-spatial terrain mapping of Antarctic moss beds |
topic_facet |
Environmental Sciences Environmental Science and Management Environmental Management |
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. The aim of this study is to use a novel computer vision technique, known as Structure from Motion(SfM) to generate a detailed 3D point cloud of the terrain from overlapping UAV photography. |
format |
Conference Object |
author |
Lucieer, A |
author_facet |
Lucieer, A |
author_sort |
Lucieer, A |
title |
Unmanned Aerial Vehicle (UAV) remote sensing for hyper-spatial terrain mapping of Antarctic moss beds |
title_short |
Unmanned Aerial Vehicle (UAV) remote sensing for hyper-spatial terrain mapping of Antarctic moss beds |
title_full |
Unmanned Aerial Vehicle (UAV) remote sensing for hyper-spatial terrain mapping of Antarctic moss beds |
title_fullStr |
Unmanned Aerial Vehicle (UAV) remote sensing for hyper-spatial terrain mapping of Antarctic moss beds |
title_full_unstemmed |
Unmanned Aerial Vehicle (UAV) remote sensing for hyper-spatial terrain mapping of Antarctic moss beds |
title_sort |
unmanned aerial vehicle (uav) remote sensing for hyper-spatial terrain mapping of antarctic moss beds |
publisher |
University of Tasmania |
publishDate |
2011 |
url |
http://ecite.utas.edu.au/70740 |
geographic |
Antarctic |
geographic_facet |
Antarctic |
genre |
Antarc* Antarctic Antarctica |
genre_facet |
Antarc* Antarctic Antarctica |
op_relation |
Lucieer, A, Unmanned Aerial Vehicle (UAV) remote sensing for hyper-spatial terrain mapping of Antarctic moss beds, School of Geography & Environmental Studies Conference 2011, 28-29 June 2011, Hobart, pp. x-x. (2011) [Conference Extract] http://ecite.utas.edu.au/70740 |
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1766059195906392064 |