Hyperspectral drone remote sensing

Advancing hyperspectral imaging from a drone for ecosystem monitoring

Degree type

PhD

Closing date

29 October 2021

Campus

Hobart

Citizenship requirement

Domestic/International Onshore

About the research project

This PhD project will contribute to the development of a hyperspectral imaging payload for drone remote sensing. The PhD is part of a larger research project funded by the Australian Research Council (ARC) Linkage Scheme and in collaboration with the British Ordnance Survey. The PhD project will focus on aspects of sensor integration, fusion with GNSS/IMU position and attitude data, georeferencing, data storage and transmission, and environmental impacts on sensor data quality. Hyperspectral drone-based imaging will provide a unique combination of very high spatial and spectral resolution data offering new opportunities for ecosystem science and biodiversity assessment. The project will contribute to quantifying physiological and structural traits of individual trees in natural forested ecosystems. The combination of technological advances in drone remote sensing and high-resolution trait mapping will provide us with a unique opportunity to capture biodiversity and responses of ecosystems to climate change. This is a unique and exciting opportunity to be involved in a state-of-the-art research project, and to be part of the TerraLuma research group at the University of Tasmania advancing drone remote sensing. The PhD project will be supported with funding for equipment, airborne testing, and fieldwork.

Primary Supervisor

Meet Prof Arko Lucieer

Funding

Applicants will be considered for a Research Training Program (RTP) scholarship or Tasmania Graduate Research Scholarship (TGRS) which, if successful, provides:

  • a living allowance stipend of $28,597 per annum (2021 rate, indexed annually) for 3.5 years
  • a relocation allowance of up to $2,000
  • a tuition fees offset covering the cost of tuition fees for up to four years (domestic applicants only)

If successful, international applicants will receive a University of Tasmania Fees Offset for up to four years.

As part of the application process you may indicate if you do not wish to be considered for scholarship funding.

Eligibility

The project is open to domestic (Australian and New Zealand) and international applicants who are already in Australia (onshore) at the time of submitting their application.

Due to current Australian COVID-19 travel restrictions the University cannot accept applications from international applicants who are currently overseas.

Applicants should review the Higher Degree by Research minimum entry requirements and the following additional eligibility criteria specific to this project:

  • The degree must be undertaken on a full-time basis
  • Applicants must already have been awarded a First-Class Honours degree or hold equivalent qualifications, such as a research Master’s degree or a coursework Master’s degree with a substantial research component awarded high marks, or relevant and substantial research experience in an appropriate sector

As a supervisory team, we understand the importance of flexible working arrangements for those with caring responsibilities, and endeavour to provide a supportive and inclusive learning environment. We particularly welcome applications from students from diverse backgrounds, such as individuals identifying as female and from members of the Aboriginal and Torres Strait Islander community.

Selection Criteria

The project is competitively assessed and awarded.  Selection is based on academic merit and suitability to the project as determined by the College.

Additional essential selection criteria specific to this project:

  • Applicants must be able to demonstrate strong research and analytical skills, evidenced by a publication record and/or substantial research thesis in a relevant area
  • Background in technical aspects of remote sensing and/or sensor development
  • Demonstrated experience with imaging sensors and data processing
  • Ability to complete field work as required

Additional desirable selection criteria specific to this project:

  • Programming skills in Python
  • Experience with drone data collection and processing

Application process

There is a three-step application process:

  1. Select the project, and check you meet the eligibility and selection criteria;
  2. Contact the Primary Supervisor, Prof Arko Lucieer, if you have any questions about the project; and
  3. Click here to submit an application by the closing date listed above.
    • Copy and paste the title of the project from this advertisement into your application. If you don’t correctly do this your application may be rejected.
    • As part of your application you will be required to submit a covering letter, a CV including 2 x referees and your project research proposal.

Following the application closing date applications will be assessed within the College. Applicants should expect to receive notification of the outcome by email.

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