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 asindicators for the regional effects of climate change. Mapping and monitoring their extent and health is therefore important. UAVaerial photography provides ultra-high resolution...
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ftunivtasecite:oai:ecite.utas.edu.au:93127 2023-05-15T13:37:24+02:00 Using a micro-UAV for ultra-high resolution multi-sensor observations of Antarctic moss beds Lucieer, A Robinson, S Turner, D Harwin, S Kelcey, J 2012 application/pdf https://doi.org/10.5194/isprsarchives-XXXIX-B1-429-2012 http://ecite.utas.edu.au/93127 en eng ISPRS http://ecite.utas.edu.au/93127/1/Lucieer-isprsarchives-XXXIX-B1-429-2012.pdf http://dx.doi.org/10.5194/isprsarchives-XXXIX-B1-429-2012 http://purl.org/au-research/grants/arc/DP110101714 Lucieer, A and Robinson, S and Turner, D and Harwin, S and Kelcey, J, Using a micro-UAV for ultra-high resolution multi-sensor observations of Antarctic moss beds, International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume 39-B1, 25 August - 1 September 2012, Melbourne, Australia, pp. 429-433. (2012) [Non Refereed Conference Paper] http://ecite.utas.edu.au/93127 Engineering Geomatic Engineering Photogrammetry and Remote Sensing Non Refereed Conference Paper NonPeerReviewed 2012 ftunivtasecite https://doi.org/10.5194/isprsarchives-XXXIX-B1-429-2012 2019-12-13T21:55:58Z This study is the first to use an Unmanned Aerial Vehicle (UAV) for mapping moss beds in Antarctica. Mosses can be used asindicators for the regional effects of climate change. Mapping and monitoring their extent and health is therefore important. UAVaerial photography provides ultra-high resolution spatial data for this purpose. We developed a technique to extract an extremely dense3D point cloud from overlapping UAV aerial photography based on structure from motion (SfM) algorithms. The combination of SfMand patch-based multi-view stereo image vision algorithms resulted in a 2 cm resolution digital terrain model (DTM). This detailedtopographic information combined with vegetation indices derived from a 6-band multispectral sensor enabled the assessment of mossbed health. This novel UAV system has allowed us to map different environmental characteristics of the moss beds at ultra-highresolution providing us with a better understanding of these fragile Antarctic ecosystems. The paper provides details on the differentUAV instruments and the image processing framework resulting in DEMs, vegetation indices, and terrain derivatives. Conference Object Antarc* Antarctic Antarctica eCite UTAS (University of Tasmania) Antarctic The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XXXIX-B1 429 433 |
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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 Harwin, S Kelcey, J Using a micro-UAV for ultra-high resolution multi-sensor observations of Antarctic moss beds |
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 asindicators for the regional effects of climate change. Mapping and monitoring their extent and health is therefore important. UAVaerial photography provides ultra-high resolution spatial data for this purpose. We developed a technique to extract an extremely dense3D point cloud from overlapping UAV aerial photography based on structure from motion (SfM) algorithms. The combination of SfMand patch-based multi-view stereo image vision algorithms resulted in a 2 cm resolution digital terrain model (DTM). This detailedtopographic information combined with vegetation indices derived from a 6-band multispectral sensor enabled the assessment of mossbed health. This novel UAV system has allowed us to map different environmental characteristics of the moss beds at ultra-highresolution providing us with a better understanding of these fragile Antarctic ecosystems. The paper provides details on the differentUAV instruments and the image processing framework resulting in DEMs, vegetation indices, and terrain derivatives. |
format |
Conference Object |
author |
Lucieer, A Robinson, S Turner, D Harwin, S Kelcey, J |
author_facet |
Lucieer, A Robinson, S Turner, D Harwin, S Kelcey, J |
author_sort |
Lucieer, A |
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 |
ISPRS |
publishDate |
2012 |
url |
https://doi.org/10.5194/isprsarchives-XXXIX-B1-429-2012 http://ecite.utas.edu.au/93127 |
geographic |
Antarctic |
geographic_facet |
Antarctic |
genre |
Antarc* Antarctic Antarctica |
genre_facet |
Antarc* Antarctic Antarctica |
op_relation |
http://ecite.utas.edu.au/93127/1/Lucieer-isprsarchives-XXXIX-B1-429-2012.pdf http://dx.doi.org/10.5194/isprsarchives-XXXIX-B1-429-2012 http://purl.org/au-research/grants/arc/DP110101714 Lucieer, A and Robinson, S and Turner, D and Harwin, S and Kelcey, J, Using a micro-UAV for ultra-high resolution multi-sensor observations of Antarctic moss beds, International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume 39-B1, 25 August - 1 September 2012, Melbourne, Australia, pp. 429-433. (2012) [Non Refereed Conference Paper] http://ecite.utas.edu.au/93127 |
op_doi |
https://doi.org/10.5194/isprsarchives-XXXIX-B1-429-2012 |
container_title |
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
container_volume |
XXXIX-B1 |
container_start_page |
429 |
op_container_end_page |
433 |
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1766091288996741120 |