One of my research topics is the use of image texture measures and pattern recognition algorithms for improved classification of remotely sensed imagery.
Geographic Object-Based Image Analysis
My research looks at the use of object-based image analysis to derive useful information from high-resolution satellite or airborne imagery.
3D point clouds
My research looks at comparing LiDAR point clouds with computer vision point clouds for characterisation of vegetation structure.
Unmanned Aircraft Systems (UAS)
My research focuses on the use of UAS for environmental and agricultural remote sensing. I specialise in the integration of multiple sensors (hyperspectral, thermal, LiDAR) on-board UAS and development of image processing workflows.
Hyperspectral image analysis
This image shows a hyperspectral image of an Antarctic moss bed acquired from an Unmanned Aircraft System (UAS).
Home page of Arko Lucieer
I am an Associate Professor in Remote Sensing in the Surveying and Spatial Sciences Group, School of Land and Food at the University of Tasmania, Australia. My research focus is on the use of Unmanned Aircraft Systems (UAS) for quantitative remote sensing and high precision aerial surveys for environmental and agricultural applications.
Late last year, we tested the Devourer D130, an X8 mega-quad with 28″ props. Very successful test with a 3 kg dummy payload, getting good flight times of 20+ minutes. This platform will be used for our heavier sensors, such as the micro-Hyperspec and LiDAR.
Dr Josh Kelcey who did his PhD in the TerraLuma research group (2010 – 2014) graduated on 18 December 2014. Congratulations to Josh on completing a fantastic PhD thesis! The title of his PhD thesis is: “Object-based image analysis of ultra-ne spatial resolution imagery acquired over a saltmarsh environment by an Unmanned Aircraft System (UAS)”. One of the journal papers that came out of his thesis looked at the radiometric correction of the Tetracam mini-MCA, and can be found here: Kelcey, J., & Lucieer, A. (2012). Sensor Correction of a 6-Band Multispectral Imaging Sensor for UAV Remote Sensing. Remote Sensing (UAV special issue), 4(5), 1462-1493. doi:10.3390/rs4051462 | Download PDF
In August, we performed a test with an X8 flying wing and Pixhawk autopilot. We wanted to test a new bungee launch system and ran three machine vision cameras capturing multispectral information (each camera captured a different spectral wavelength). Some of the video footage was shot from a DJI Phantom2 Vision+ flown by Dr Guy Willians. The X8 was flown by Darren Turner.