University of Tasmania
Browse
remotesensing-06-04003-v2.pdf (2.25 MB)

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

Download (2.25 MB)
journal contribution
posted on 2023-05-18, 02:02 authored by Darren TurnerDarren Turner, Arko LucieerArko Lucieer, Zbynek MalenovskyZbynek Malenovsky, King, DH, Robinson, SA
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.

Funding

Australian Research Council

History

Publication title

Remote Sensing

Volume

6

Issue

5

Pagination

4003-4024

ISSN

2072-4292

Department/School

School of Geography, Planning and Spatial Sciences

Publisher

MDPI AG

Place of publication

Switzerland

Rights statement

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

Repository Status

  • Open

Socio-economic Objectives

Assessment and management of coastal and estuarine ecosystems

Usage metrics

    University Of Tasmania

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC