Spatial co-registration of ultra-high resolution visible, multispectral and thermal images acquired with a micro-UAV over Antarctic moss beds
In recent times, the use of Unmanned Aerial Vehicles (UAVs) as tools for environmental remote sensing has become more commonplace. Compared to traditional airborne remote sensing, UAVs can provide finer spatial resolution data (up to 1 cm/pixel) and higher temporal resolution data. For the purposes...
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ftunivwollongong:oai:ro.uow.edu.au:smhpapers-2658 2023-05-15T13:53:47+02:00 Spatial co-registration of ultra-high resolution visible, multispectral and thermal images acquired with a micro-UAV over Antarctic moss beds Turner, Darren Lucieer, Arko Malenovsky, Zbynek King, Diana H Robinson, Sharon A 2014-01-01T08:00:00Z application/pdf https://ro.uow.edu.au/smhpapers/1640 https://ro.uow.edu.au/cgi/viewcontent.cgi?article=2658&context=smhpapers unknown Research Online https://ro.uow.edu.au/smhpapers/1640 https://ro.uow.edu.au/cgi/viewcontent.cgi?article=2658&context=smhpapers Faculty of Science, Medicine and Health - Papers: part A UAV image co-registration multispectral thermal infrared Antarctica moss Medicine and Health Sciences Social and Behavioral Sciences article 2014 ftunivwollongong 2020-02-25T10:59:48Z In recent times, the use of Unmanned Aerial Vehicles (UAVs) as tools for environmental remote sensing has become more commonplace. Compared to traditional airborne remote sensing, UAVs can provide finer spatial resolution data (up to 1 cm/pixel) and higher temporal resolution data. For the purposes of vegetation monitoring, the use of multiple sensors such as near infrared and thermal infrared cameras are of benefit. Collecting data with multiple sensors, however, requires an accurate spatial co-registration of the various UAV image datasets. In this study, we used an Oktokopter UAV to investigate the physiological state of Antarctic moss ecosystems using three sensors: (i) a visible camera (1 cm/pixel), (ii) a 6 band multispectral camera (3 cm/pixel), and (iii) a thermal infrared camera (10 cm/pixel). Imagery from each sensor was geo-referenced and mosaicked with a combination of commercially available software and our own algorithms based on the Scale Invariant Feature Transform (SIFT). The validation of the mosaic's spatial co-registration revealed a mean root mean squared error (RMSE) of 1.78 pixels. A thematic map of moss health, derived from the multispectral mosaic using a Modified Triangular Vegetation Index (MTVI2), and an indicative map of moss surface temperature were then combined to demonstrate sufficient accuracy of our co-registration methodology for UAV-based monitoring of Antarctic moss beds. Article in Journal/Newspaper Antarc* Antarctic Antarctica University of Wollongong, Australia: Research Online Antarctic |
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Open Polar |
collection |
University of Wollongong, Australia: Research Online |
op_collection_id |
ftunivwollongong |
language |
unknown |
topic |
UAV image co-registration multispectral thermal infrared Antarctica moss Medicine and Health Sciences Social and Behavioral Sciences |
spellingShingle |
UAV image co-registration multispectral thermal infrared Antarctica moss Medicine and Health Sciences Social and Behavioral Sciences Turner, Darren Lucieer, Arko Malenovsky, Zbynek King, Diana H Robinson, Sharon A Spatial co-registration of ultra-high resolution visible, multispectral and thermal images acquired with a micro-UAV over Antarctic moss beds |
topic_facet |
UAV image co-registration multispectral thermal infrared Antarctica moss Medicine and Health Sciences Social and Behavioral Sciences |
description |
In recent times, the use of Unmanned Aerial Vehicles (UAVs) as tools for environmental remote sensing has become more commonplace. Compared to traditional airborne remote sensing, UAVs can provide finer spatial resolution data (up to 1 cm/pixel) and higher temporal resolution data. For the purposes of vegetation monitoring, the use of multiple sensors such as near infrared and thermal infrared cameras are of benefit. Collecting data with multiple sensors, however, requires an accurate spatial co-registration of the various UAV image datasets. In this study, we used an Oktokopter UAV to investigate the physiological state of Antarctic moss ecosystems using three sensors: (i) a visible camera (1 cm/pixel), (ii) a 6 band multispectral camera (3 cm/pixel), and (iii) a thermal infrared camera (10 cm/pixel). Imagery from each sensor was geo-referenced and mosaicked with a combination of commercially available software and our own algorithms based on the Scale Invariant Feature Transform (SIFT). The validation of the mosaic's spatial co-registration revealed a mean root mean squared error (RMSE) of 1.78 pixels. A thematic map of moss health, derived from the multispectral mosaic using a Modified Triangular Vegetation Index (MTVI2), and an indicative map of moss surface temperature were then combined to demonstrate sufficient accuracy of our co-registration methodology for UAV-based monitoring of Antarctic moss beds. |
format |
Article in Journal/Newspaper |
author |
Turner, Darren Lucieer, Arko Malenovsky, Zbynek King, Diana H Robinson, Sharon A |
author_facet |
Turner, Darren Lucieer, Arko Malenovsky, Zbynek King, Diana H Robinson, Sharon A |
author_sort |
Turner, Darren |
title |
Spatial co-registration of ultra-high resolution visible, multispectral and thermal images acquired with a micro-UAV over Antarctic moss beds |
title_short |
Spatial co-registration of ultra-high resolution visible, multispectral and thermal images acquired with a micro-UAV over Antarctic moss beds |
title_full |
Spatial co-registration of ultra-high resolution visible, multispectral and thermal images acquired with a micro-UAV over Antarctic moss beds |
title_fullStr |
Spatial co-registration of ultra-high resolution visible, multispectral and thermal images acquired with a micro-UAV over Antarctic moss beds |
title_full_unstemmed |
Spatial co-registration of ultra-high resolution visible, multispectral and thermal images acquired with a micro-UAV over Antarctic moss beds |
title_sort |
spatial co-registration of ultra-high resolution visible, multispectral and thermal images acquired with a micro-uav over antarctic moss beds |
publisher |
Research Online |
publishDate |
2014 |
url |
https://ro.uow.edu.au/smhpapers/1640 https://ro.uow.edu.au/cgi/viewcontent.cgi?article=2658&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/1640 https://ro.uow.edu.au/cgi/viewcontent.cgi?article=2658&context=smhpapers |
_version_ |
1766259217249861632 |