eCite Digital Repository
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]
 | PDF 2Mb |
Copyright Statement
Licenced under Creative Commons Attribution 3.0 Unported (CC BY 3.0) http://creativecommons.org/licenses/by/3.0/
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 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.
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 |
| UTAS Author: | Turner, D (Dr Darren Turner) |
| UTAS Author: | Lucieer, A (Professor Arko Lucieer) |
| UTAS Author: | Malenovsky, Z (Dr Zbynek Malenovsky) |
| ID Code: | 93119 |
| Year Published: | 2014 |
| Funding Support: | Australian Research Council (DP110101714) |
| Web of Science® Times Cited: | 75 |
| Deposited By: | Geography and Environmental Studies |
| Deposited On: | 2014-07-14 |
| Last Modified: | 2017-10-24 |
| Downloads: | 274 View Download Statistics |
Repository Staff Only: item control page