Unmanned aerial vehicle (UAV) remote sensing for hyperspatial terrain mapping of antarctic moss beds based on structure from motion (SfM) point clouds

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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Bibliographic Details
Main Authors: Lucieer, A, Robinson, S, Turner, D
Format: Conference Object
Language:English
Published: . 2011
Subjects:
Engineering
Geomatic Engineering
Photogrammetry and Remote Sensing
Antarctic
Antarc*
Antarctica
Online Access:https://www.isprs.org/proceedings/2011/ISRSE-34/
http://ecite.utas.edu.au/131718
id ftunivtasecite:oai:ecite.utas.edu.au:131718
record_format openpolar
spelling ftunivtasecite:oai:ecite.utas.edu.au:131718 2023-05-15T13:55:18+02:00 Unmanned aerial vehicle (UAV) remote sensing for hyperspatial terrain mapping of antarctic moss beds based on structure from motion (SfM) point clouds Lucieer, A Robinson, S Turner, D 2011 application/pdf https://www.isprs.org/proceedings/2011/ISRSE-34/ http://ecite.utas.edu.au/131718 en eng . http://ecite.utas.edu.au/131718/1/131718 - Unmanned aerial vehicle remote sensing for hyperspatial terrain mapping of antarctic moss beds based on structure from motion point clouds.pdf Lucieer, A and Robinson, S and Turner, D, Unmanned aerial vehicle (UAV) remote sensing for hyperspatial terrain mapping of antarctic moss beds based on structure from motion (SfM) point clouds, Proceedings of the 34th International Symposium on Remote Sensing of Environment - The GEOSS Era: Towards Operational Environmental Monitoring, 10-15 April 2011, Sydney, Australia, pp. 1-4. ISBN 9780932913142 (2011) [Refereed Conference Paper] http://ecite.utas.edu.au/131718 Engineering Geomatic Engineering Photogrammetry and Remote Sensing Refereed Conference Paper PeerReviewed 2011 ftunivtasecite 2019-12-13T22:29:41Z 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 Structure from Motion (SfM) techniques 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
institution Open Polar
collection eCite UTAS (University of Tasmania)
op_collection_id ftunivtasecite
language English
topic Engineering
Geomatic Engineering
Photogrammetry and Remote Sensing
spellingShingle Engineering
Geomatic Engineering
Photogrammetry and Remote Sensing
Lucieer, A
Robinson, S
Turner, D
Unmanned aerial vehicle (UAV) remote sensing for hyperspatial terrain mapping of antarctic moss beds based on structure from motion (SfM) point clouds
topic_facet Engineering
Geomatic Engineering
Photogrammetry and Remote Sensing
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 Structure from Motion (SfM) techniques to generate a detailed 3D point cloud of the terrain from overlapping UAV photography.
format Conference Object
author Lucieer, A
Robinson, S
Turner, D
author_facet Lucieer, A
Robinson, S
Turner, D
author_sort Lucieer, A
title Unmanned aerial vehicle (UAV) remote sensing for hyperspatial terrain mapping of antarctic moss beds based on structure from motion (SfM) point clouds
title_short Unmanned aerial vehicle (UAV) remote sensing for hyperspatial terrain mapping of antarctic moss beds based on structure from motion (SfM) point clouds
title_full Unmanned aerial vehicle (UAV) remote sensing for hyperspatial terrain mapping of antarctic moss beds based on structure from motion (SfM) point clouds
title_fullStr Unmanned aerial vehicle (UAV) remote sensing for hyperspatial terrain mapping of antarctic moss beds based on structure from motion (SfM) point clouds
title_full_unstemmed Unmanned aerial vehicle (UAV) remote sensing for hyperspatial terrain mapping of antarctic moss beds based on structure from motion (SfM) point clouds
title_sort unmanned aerial vehicle (uav) remote sensing for hyperspatial terrain mapping of antarctic moss beds based on structure from motion (sfm) point clouds
publisher .
publishDate 2011
url https://www.isprs.org/proceedings/2011/ISRSE-34/
http://ecite.utas.edu.au/131718
geographic Antarctic
geographic_facet Antarctic
genre Antarc*
Antarctic
Antarctica
genre_facet Antarc*
Antarctic
Antarctica
op_relation http://ecite.utas.edu.au/131718/1/131718 - Unmanned aerial vehicle remote sensing for hyperspatial terrain mapping of antarctic moss beds based on structure from motion point clouds.pdf
Lucieer, A and Robinson, S and Turner, D, Unmanned aerial vehicle (UAV) remote sensing for hyperspatial terrain mapping of antarctic moss beds based on structure from motion (SfM) point clouds, Proceedings of the 34th International Symposium on Remote Sensing of Environment - The GEOSS Era: Towards Operational Environmental Monitoring, 10-15 April 2011, Sydney, Australia, pp. 1-4. ISBN 9780932913142 (2011) [Refereed Conference Paper]
http://ecite.utas.edu.au/131718
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