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Spatial co-registration of ultra-high resolution visible, multispectral and thermal images acquired with micro-UAV over Antarctic moss beds

Citation

Turner, D and Lucieer, A and Malenovsky, Z and King, DH and Robinson, SA, Spatial co-registration of ultra-high resolution visible, multispectral and thermal images acquired with micro-UAV over Antarctic moss beds, Remote Sensing, 6, (5) pp. 4003-4024. ISSN 2072-4292 (2014) [Refereed Article]


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Licenced under Creative Commons Attribution 3.0 Unported (CC BY 3.0) http://creativecommons.org/licenses/by/3.0/

DOI: doi:10.3390/rs6054003

Abstract

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 mosaicís 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.

Item Details

Item Type:Refereed Article
Keywords:UAV, image processing, co-registration, multi-sensor, multispectral, thermal infrared, Antarctica, moss
Research Division:Engineering
Research Group:Geomatic Engineering
Research Field:Photogrammetry and Remote Sensing
Objective Division:Environment
Objective Group:Ecosystem Assessment and Management
Objective Field:Ecosystem Assessment and Management of Antarctic and Sub-Antarctic Environments
Author:Turner, D (Mr Darren Turner)
Author:Lucieer, A (Associate Professor Arko Lucieer)
Author:Malenovsky, Z (Dr Zbynek Malenovsky)
ID Code:93119
Year Published:2014
Funding Support:Australian Research Council (DP110101714)
Web of Science® Times Cited:25
Deposited By:Geography and Environmental Studies
Deposited On:2014-07-14
Last Modified:2017-10-24
Downloads:189 View Download Statistics

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