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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ftdoajarticles:oai:doaj.org/article:1006bd3b082b47a1bdf6464131aab391 2023-05-15T13:52:20+02:00 Spatial Co-Registration of Ultra-High Resolution Visible, Multispectral and Thermal Images Acquired with a Micro-UAV over Antarctic Moss Beds Darren Turner Arko Lucieer Zbyněk Malenovský Diana H. King Sharon A. Robinson 2014-05-01T00:00:00Z https://doi.org/10.3390/rs6054003 https://doaj.org/article/1006bd3b082b47a1bdf6464131aab391 EN eng MDPI AG http://www.mdpi.com/2072-4292/6/5/4003 https://doaj.org/toc/2072-4292 2072-4292 doi:10.3390/rs6054003 https://doaj.org/article/1006bd3b082b47a1bdf6464131aab391 Remote Sensing, Vol 6, Iss 5, Pp 4003-4024 (2014) UAV image co-registration multispectral thermal infrared Antarctica moss Science Q article 2014 ftdoajarticles https://doi.org/10.3390/rs6054003 2022-12-31T14:37:06Z 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 Directory of Open Access Journals: DOAJ Articles Antarctic Remote Sensing 6 5 4003 4024 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
UAV image co-registration multispectral thermal infrared Antarctica moss Science Q |
spellingShingle |
UAV image co-registration multispectral thermal infrared Antarctica moss Science Q Darren Turner Arko Lucieer Zbyněk Malenovský Diana H. King Sharon A. Robinson 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 Science Q |
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 |
Darren Turner Arko Lucieer Zbyněk Malenovský Diana H. King Sharon A. Robinson |
author_facet |
Darren Turner Arko Lucieer Zbyněk Malenovský Diana H. King Sharon A. Robinson |
author_sort |
Darren Turner |
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 |
MDPI AG |
publishDate |
2014 |
url |
https://doi.org/10.3390/rs6054003 https://doaj.org/article/1006bd3b082b47a1bdf6464131aab391 |
geographic |
Antarctic |
geographic_facet |
Antarctic |
genre |
Antarc* Antarctic Antarctica |
genre_facet |
Antarc* Antarctic Antarctica |
op_source |
Remote Sensing, Vol 6, Iss 5, Pp 4003-4024 (2014) |
op_relation |
http://www.mdpi.com/2072-4292/6/5/4003 https://doaj.org/toc/2072-4292 2072-4292 doi:10.3390/rs6054003 https://doaj.org/article/1006bd3b082b47a1bdf6464131aab391 |
op_doi |
https://doi.org/10.3390/rs6054003 |
container_title |
Remote Sensing |
container_volume |
6 |
container_issue |
5 |
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4003 |
op_container_end_page |
4024 |
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1766256620636995584 |