Profiles
Darren Turner
UTAS Home Dr Darren Turner
Darren Turner
Postdoctoral Research Fellow
Geography, Planning & Spatial Sciences
Room 415 , Geography - Building 12
In 2015 Dr Darren Turner graduated with a PhD (2010 – 2015) from the University of Tasmania. His thesis was entitled “ Multi-sensor, multi-temporal, and ultra-high resolution environmental remote sensing from UAVs” which looked at the development of a UAVs for ultra-high resolution remote sensing, demonstrating their utility with a series of case studies.
Biography
Dr Darren Turner is a postdoctoral research fellow in the Geography and Spatial Sciences discipline. He specialise in developing image processing routines, especially for imagery collected by Unmanned Aerial Vehicles (UAVs). Darren also works on projects that look at using UAVs as environmental remote sensing tools, such that data collected by UAVs can be related to real-world properties, in particular around vegetation health and terrain change.
Dr Turner has 25 years of aero-modelling experience, Model Aeronautical Association of Australia (MAAA) instructor ratings for both fixed and rotary wings, a Private Pilots License (PPL) and a Remote Pilots License. He is the chief controller for the Terraluma research team with the primary responsibility of managing all drone operations within the group and in other sections at UTas.
Publications
Career summary
Qualifications
| Degree | Thesis Title | University | Date of Award |
|---|---|---|---|
| BSc | University of Tasmania, Australia | 1994 | |
| Grad Dip (Hons) | Detection of Sea Ice in Antarctic AVHRR Imagery with an Artificial Neural Network | University of Tasmania, Australia | 1995 |
| PhD | Multi-sensor, multi-temporal, and ultra-high resolution environmental remote sensing from UAVs | University of Tasmania, Australia | 2015 |
Administrative expertise
Spent 20 years managing IT resources and support for various Schools and Departments within the University of Tasmania.
Teaching
Teaching expertise
Dr Turner teaches a short course entitled : “Drone remote sensing and mapping” in which attendees (typically from industry, but also students) learn how about the principles of remote sensing and how to use a drone to complete high quality and accurate surveys.
View more on Dr Darren Turner in WARP
Expertise
Dr Darren Turner’s research expertise lie in collecting and processing data (typically imagery) collected by Unmanned Aerial Vehicles (UAVs) aka Drones. Further details on the Terraluma research team can be found here.
Research Themes
Dr Turner’s research primarily aligns with Environment, Resources and Sustainability research theme.
Collaboration
Dr Turner has been involved with collaborations with other Universities (University of Western Australia, King Abdullah University of Science and Technology), government agencies (DPIPWIE) and industry research groups (Forest Wood Products Australia, Frontier SI).
Awards
2016 Dean’s award for Exceptional Performance by a Higher Degree by Research Graduate.
2017 Environment, Resources and Sustainability seed funding grant.
Fields of Research
- Photogrammetry and remote sensing (401304)
- Physical geography and environmental geoscience (370999)
- Forestry management and environment (300707)
- Agricultural land management (300202)
- Population ecology (310307)
- Pollution and contamination (410599)
- Vertebrate biology (310914)
- Environmental assessment and monitoring (410402)
- Agricultural biotechnology (300199)
- Agricultural spatial analysis and modelling (300206)
- Agricultural land planning (300203)
- Glaciology (370902)
- Geomorphology and earth surface processes (370901)
- Animal welfare (300306)
- Physical oceanography (370803)
- Aboriginal and Torres Strait Islander environmental knowledges (450304)
- Oceanography (370899)
- Environmental management (410404)
- Sustainable agricultural development (300210)
- Ecological impacts of climate change and ecological adaptation (410102)
- Conservation and biodiversity (410401)
- Fire ecology (410205)
- Forest health and pathology (300704)
- Navigation and position fixing (401303)
- Photovoltaic devices (solar cells) (400910)
- Environmentally sustainable engineering (401102)
- Forestry fire management (300706)
- Surveying (incl. hydrographic surveying) (401306)
- Marine and estuarine ecology (incl. marine ichthyology) (310305)
- Wildlife and habitat management (410407)
- Landscape ecology (410206)
- Horticultural crop protection (incl. pests, diseases and weeds) (300804)
- Geospatial information systems and geospatial data modelling (401302)
- Natural resource management (410406)
Research Objectives
- Assessment and management of terrestrial ecosystems (180601)
- Assessment and management of coastal and estuarine ecosystems (180201)
- Other environmental management (189999)
- Assessment and management of Antarctic and Southern Ocean ecosystems (180403)
- Softwood plantations (260205)
- Assessment and management of freshwater ecosystems (180301)
- Expanding knowledge in the environmental sciences (280111)
- Expanding knowledge in the earth sciences (280107)
- Management of solid waste from animal production (100103)
- Climatological hazards (e.g. extreme temperatures, drought and wildfires) (190401)
- Social impacts of climate change and variability (190103)
- Ecosystem adaptation to climate change (190102)
- Terrestrial biodiversity (180606)
- Expanding knowledge in the physical sciences (280120)
- Management of greenhouse gas emissions from animal production (190302)
- Management of gaseous waste from animal production (excl. greenhouse gases) (100101)
- Terrestrial systems and management (180699)
- Management of water consumption by plant production (260104)
- Antarctic and Southern Ocean oceanic processes (180402)
- Sheep for wool (100413)
- Horticultural crops (260599)
- Forestry (260299)
- Effects of climate change on Antarctic and sub-Antarctic environments (excl. social impacts) (190503)
- Climate change adaptation measures (excl. ecosystem) (190101)
- Evaluation, allocation, and impacts of land use (180603)
- Native forests (260204)
- Hardwood plantations (260201)
- Expanding knowledge in the agricultural, food and veterinary sciences (280101)
- Environmentally sustainable plant production (260199)
- Expanding knowledge in the information and computing sciences (280115)
- Cannabis (260601)
- Rehabilitation or conservation of terrestrial environments (180604)
Publications
Total publications
43
Journal Article
(25 outputs)| Year | Citation | Altmetrics |
|---|---|---|
| 2021 | Harrison PA, Camarretta N, Krisanski S, Bailey TG, Davidson NJ, et al., 'From communities to individuals: using remote sensing to inform and monitor woodland restoration', Ecological Management and Restoration, 22, (S2) pp. 127-139. ISSN 1442-8903 (2021) [Refereed Article] DOI: 10.1111/emr.12505 [eCite] [Details] Citations: Scopus - 4Web of Science - 4 Co-authors: Harrison PA; Camarretta N; Krisanski S; Bailey TG; Davidson NJ; Bain G; Hamer R; Gardiner R; Proft K; Taskhiri MS; Turner P; Lucieer A | |
| 2021 | Hillman S, Hally B, Wallace L, Turner D, Lucieer A, et al., 'High-resolution estimates of fire severity - an evaluation of UAS image and LiDAR mapping approaches on a sedgeland forest boundary in Tasmania, Australia', Fire, 4, (1) Article 14. ISSN 2571-6255 (2021) [Refereed Article] DOI: 10.3390/fire4010014 [eCite] [Details] Citations: Scopus - 12Web of Science - 11 Co-authors: Wallace L; Lucieer A | |
| 2021 | Hillman S, Wallace L, Lucieer A, Reinke K, Turner D, et al., 'A comparison of terrestrial and UAS sensors for measuring fuel hazard in a dry sclerophyll forest', International Journal of Applied Earth Observation and Geoinformation, 95 pp. 1-13. ISSN 1569-8432 (2021) [Refereed Article] DOI: 10.1016/j.jag.2020.102261 [eCite] [Details] Citations: Scopus - 12Web of Science - 13 Co-authors: Wallace L; Lucieer A | |
| 2021 | Jaskierniak D, Lucieer A, Kuczera G, Turner D, Lane PNJ, et al., 'Individual tree detection and crown delineation from unmanned aircraft system (UAS) LiDAR in structurally complex mixed species eucalypt forests', ISPRS Journal of Photogrammetry and Remote Sensing, 171 pp. 171-187. ISSN 0924-2716 (2021) [Refereed Article] DOI: 10.1016/j.isprsjprs.2020.10.016 [eCite] [Details] Citations: Scopus - 26Web of Science - 25 Co-authors: Lucieer A | |
| 2021 | Virtue J, Turner D, Williams G, Zeliadt S, McCabe M, et al., 'Thermal sensor calibration for unmanned aerial systems using an external heated shutter', Drones, 5, (4) Article 119. ISSN 2504-446X (2021) [Refereed Article] DOI: 10.3390/drones5040119 [eCite] [Details] Citations: Scopus - 7Web of Science - 5 Co-authors: Virtue J; Lucieer A | |
| 2020 | Angel Y, Turner D, Parkes S, Malbeteau Y, Lucieer A, et al., 'Automated georectification and mosaicking of UAV-based hyperspectral imagery from push-broom sensors', Remote Sensing, 12, (1) Article 34. ISSN 2072-4292 (2020) [Refereed Article] DOI: 10.3390/RS12010034 [eCite] [Details] Citations: Scopus - 23Web of Science - 21 Co-authors: Lucieer A | |
| 2020 | Aragon B, Johansen K, Parkes S, Malbeteau Y, Al-Mashharawi S, et al., 'A calibration procedure for field and UAV-based uncooled thermal infrared instruments', Sensors, 20, (11) Article 3316. ISSN 1424-8220 (2020) [Refereed Article] DOI: 10.3390/s20113316 [eCite] [Details] Citations: Scopus - 33Web of Science - 30 Co-authors: Lucieer A | |
| 2020 | Grubinger S, Coops NC, Stoehr M, El-Kassaby YA, Lucieer A, et al., 'Modeling realized gains in Douglas-fir (Pseudotsuga menziesii) using laser scanning data from unmanned aircraft systems (UAS)', Forest Ecology and Management, 473 Article 118284. ISSN 0378-1127 (2020) [Refereed Article] DOI: 10.1016/j.foreco.2020.118284 [eCite] [Details] Citations: Scopus - 9Web of Science - 7 Co-authors: Lucieer A | |
| 2020 | du Toit F, Coops NC, Tompalski P, Goodbody TRH, El-Kassaby YA, et al., 'Characterizing variations in growth characteristics between Douglas-fir with different genetic gain levels using airborne laser scanning', Trees, 34, (3) pp. 649-664. ISSN 0931-1890 (2020) [Refereed Article] DOI: 10.1007/s00468-019-01946-y [eCite] [Details] Citations: Scopus - 12Web of Science - 13 Co-authors: Lucieer A | |
| 2019 | Turner DJ, Malenovsky Z, Lucieer A, Turnbull JD, Robinson SA, 'Optimizing spectral and spatial resolutions of unmanned aerial system imaging sensors for monitoring Antarctic vegetation', IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 12, (10) pp. 3813-3825. ISSN 1939-1404 (2019) [Refereed Article] DOI: 10.1109/JSTARS.2019.2938544 [eCite] [Details] Citations: Scopus - 12Web of Science - 12 Co-authors: Malenovsky Z; Lucieer A | |
| 2018 | Turner D, Lucieer A, Malenovsky Z, King D, Robinson SA, 'Assessment of Antarctic moss health from multi-sensor UAS imagery with random forest modelling', International Journal of Applied Earth Observation and Geoinformation, 68 pp. 168-179. ISSN 1569-8432 (2018) [Refereed Article] DOI: 10.1016/j.jag.2018.01.004 [eCite] [Details] Citations: Scopus - 33Web of Science - 33 Co-authors: Lucieer A; Malenovsky Z | |
| 2018 | de Roos S, Turner D, Lucieer A, Bowman DMJS, 'Using digital surface models from UAS imagery of fire damaged sphagnum peatlands for monitoring and hydrological restoration', Drones, 2, (4) Article 45. ISSN 2511-8439 (2018) [Refereed Article] DOI: 10.3390/drones2040045 [eCite] [Details] Citations: Scopus - 8Web of Science - 6 Co-authors: Lucieer A; Bowman DMJS | |
| 2016 | Wallace LO, Lucieer A, Malenovsky Z, Turner D, Vopenka Petr, 'Assessment of forest structure using two UAV techniques: a comparison of airborne laser scanning and structure from motion (SfM) point clouds', Forests, 7, (3) Article 62. ISSN 1999-4907 (2016) [Refereed Article] DOI: 10.3390/f7030062 [eCite] [Details] Citations: Scopus - 428Web of Science - 387 Co-authors: Wallace LO; Lucieer A; Malenovsky Z | |
| 2016 | Williams GD, Fraser AD, Lucieer A, Turner D, Cougnon E, et al., 'Drones in a cold climate', Eos, 97 pp. 1-6. ISSN 0096-3941 (2016) [Contribution to Refereed Journal] DOI: 10.1029/2016EO043673 [eCite] [Details] Citations: Scopus - 5 Co-authors: Williams GD; Fraser AD; Lucieer A; Cougnon E | |
| 2015 | Turner D, Lucieer A, de Jong SM, 'Time series analysis of landslide dynamics using an Unmanned Aerial Vehicle (UAV)', Remote Sensing, 7, (2) pp. 1736-1757. ISSN 2072-4292 (2015) [Refereed Article] DOI: 10.3390/rs70201736 [eCite] [Details] Citations: Scopus - 292Web of Science - 250 Co-authors: Lucieer A | |
| 2015 | Vander Jagt B, Lucieer A, Wallace L, Turner DJ, Durand M, 'Snow depth retrieval with UAS using photogrammetric techniques', Geosciences, 5, (3) pp. 264-285. ISSN 2076-3263 (2015) [Refereed Article] DOI: 10.3390/geosciences5030264 [eCite] [Details] Citations: Scopus - 73 Co-authors: Lucieer A | |
| 2014 | Bemis SP, Micklethwaite S, Turner D, James MR, Akciz S, et al., 'Ground-based and UAV-based photogrammetry: a multi-scale, high-resolution mapping tool for structural geology and paleoseismology', Journal of Structural Geology, 69, (A) pp. 163-178. ISSN 0191-8141 (2014) [Refereed Article] DOI: 10.1016/j.jsg.2014.10.007 [eCite] [Details] Citations: Scopus - 482Web of Science - 397 | |
| 2014 | Lucieer A, Turner D, King DH, Robinson SA, 'Using an Unmanned Aerial Vehicle (UAV) to capture micro-topography of Antarctic moss beds', International Journal of Applied Earth Observation and Geoinformation, 27, (A) pp. 53-62. ISSN 0303-2434 (2014) [Refereed Article] DOI: 10.1016/j.jag.2013.05.011 [eCite] [Details] Citations: Scopus - 203Web of Science - 181 Co-authors: Lucieer A | |
| 2014 | Lucieer A, de Jong SM, Turner D, 'Mapping landslide displacements using Structure from Motion (SfM) and image correlation of multi-temporal UAV photography', Progress in Physical Geography, 38, (1) pp. 97-116. ISSN 0309-1333 (2014) [Refereed Article] DOI: 10.1177/0309133313515293 [eCite] [Details] Citations: Scopus - 520Web of Science - 462 Co-authors: Lucieer A | |
| 2014 | Turner D, Lucieer A, Malenovsky Z, King DH, 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] DOI: 10.3390/rs6054003 [eCite] [Details] Citations: Scopus - 161Web of Science - 136 Co-authors: Lucieer A; Malenovsky Z | |
| 2014 | Turner D, Lucieer A, Wallace L, 'Direct georeferencing of ultrahigh-resolution UAV imagery', IEEE Transactions on Geoscience and Remote Sensing, 52, (5) pp. 2738-2745. ISSN 0196-2892 (2014) [Refereed Article] DOI: 10.1109/TGRS.2013.2265295 [eCite] [Details] Citations: Scopus - 318Web of Science - 275 Co-authors: Lucieer A; Wallace L | |
| 2012 | Turner D, Lucieer A, Watson C, 'An Automated Technique for Generating Georectified Mosaics from Ultra-High Resolution Unmanned Aerial Vehicle (UAV) Imagery, Based on Structure from Motion (SfM) Point Clouds', Remote Sensing, 4, (5) pp. 1392-1410. ISSN 2072-4292 (2012) [Refereed Article] DOI: 10.3390/rs4051392 [eCite] [Details] Citations: Scopus - 549Web of Science - 473 Co-authors: Lucieer A; Watson C | |
| 2012 | Wallace L, Lucieer A, Watson C, Turner D, 'Development of a UAV-LiDAR System with application to forest inventory', Remote Sensing, 4, (6) pp. 1519-1543. ISSN 2072-4292 (2012) [Refereed Article] DOI: 10.3390/rs4061519 [eCite] [Details] Citations: Scopus - 489Web of Science - 422 Co-authors: Wallace L; Lucieer A; Watson C | |
| 1998 | Young NW, Turner D, Hyland G, Williams RN, 'Near-coastal iceberg distributions in East Antarctica, 50-145 degrees E', Annals of Glaciology, 27 pp. 68-74. ISSN 0260-3055 (1998) [Refereed Article] Citations: Web of Science - 22 Co-authors: Young NW; Hyland G; Williams RN | |
| 1997 | Nunez M, Michael KJ, Turner D, Wall M, Nilsson C, 'A Satellite-Based Climatology of UV-B Irradiance for Antarctic Coastal Regions', International Journal of Climatology, 17, (10) pp. 1029-1054. ISSN 0899-8418 (1997) [Refereed Article] DOI: 10.1002/(SICI)1097-0088(199708)17:10<1029::AID-JOC168>3.0.CO;2-9 [eCite] [Details] Citations: Scopus - 11Web of Science - 10 Co-authors: Nunez M; Michael KJ |
Conference Publication
(12 outputs)| Year | Citation | Altmetrics |
|---|---|---|
| 2018 | Turner D, Lucieer A, McCabe M, Parkes S, Clarke I, 'Pushbroom hyperspectral imaging from an unmanned aircraft system (UAS) - geometric processing workflow and accuracy assessment', International Archives of the Photogrammetry, Remote Sensing and Spatial information Sciences, 4-7 September 2017, Bonn, Germany, pp. 379-384. ISSN 1682-1750 (2018) [Refereed Conference Paper] DOI: 10.5194/isprs-archives-XLII-2-W6-379-2017 [eCite] [Details] Citations: Scopus - 20Web of Science - 17 Co-authors: Lucieer A; Clarke I | |
| 2018 | Williams G, Turner D, Maksym T, Singh H, 'Near-coincident mapping of sea ice from above and below with UAS and AUV', Symposium on Autonomous Underwater Vehicle Technology (AUV) Proceedings, 06-09 November 2018, Porto, Portugal, pp. 1-6. ISBN 9781728102535 (2018) [Refereed Conference Paper] DOI: 10.1109/AUV.2018.8729799 [eCite] [Details] Citations: Scopus - 1 Co-authors: Williams G | |
| 2012 | Lucieer A, Robinson S, Turner D, Harwin S, Kelcey J, 'Using a micro-UAV for ultra-high resolution multi-sensor observations of Antarctic moss beds', International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume 39-B1, 25 August - 1 September 2012, Melbourne, Australia, pp. 429-433. (2012) [Non Refereed Conference Paper] DOI: 10.5194/isprsarchives-XXXIX-B1-429-2012 [eCite] [Details] Co-authors: Lucieer A; Harwin S; Kelcey J | |
| 2012 | Lucieer A, Robinson S, Turner D, Harwin S, Kelcey J, 'Using a micro-UAV for ultra-high resolution multi-sensor observations of Antarctic moss beds', Proceedings of the 22nd International Society for Photogammetry and Remote Sensing Congress, 25 August - 1 September 2012, Melbourne, Australia, Internat Arch Photogram Remote Sens & Spat Inf Sci, pp. 429-433. ISSN 2194-9034 (2012) [Refereed Conference Paper] DOI: 10.5194/isprsarchives-XXXIX-B1-429-2012 [eCite] [Details] Co-authors: Lucieer A; Harwin S; Kelcey J | |
| 2011 | Lucieer A, Robinson S, Turner D, 'Unmanned aerial vehicle (UAV) remote sensing for hyperspatial terrain mapping of antarctic moss beds based on structure from motion (SfM) point clouds', Proceedings of the 34th International Symposium on Remote Sensing of Environment - The GEOSS Era: Towards Operational Environmental Monitoring, 10-15 April 2011, Sydney, Australia, pp. 1-4. ISBN 9780932913142 (2011) [Refereed Conference Paper] Co-authors: Lucieer A | |
| 2011 | Lucieer A, Robinson S, Turner DJ, 'Unmanned Aerial Vehicle (UAV) Remote Sensing for Hyperspatial Terrain Mapping of Antarctic Moss Beds based on Structure from Motion (SfM) point clouds', Proceedings of the 34th International Symposium on Remote Sensing of Environment (ISRSE34), Aprill 2011, Sydney, Australia (2011) [Non Refereed Conference Paper] Co-authors: Lucieer A | |
| 2011 | Turner DJ, 'Development of an Unmanned Aerial Vehicle (UAV) for hyper-resolution vineyard mapping based on visible, multispectral and thermal imagery', School of Geography & Environmental Studies Conference 2011, 28-29 June 2011, Hobart, pp. x-x. (2011) [Conference Extract] | |
| 2011 | Turner DJ, Lucieer A, Watson CS, 'Development of an Unmanned Aerial Vehicle (UAV) for hyper-resolution vineyard mapping based on visible, multispectral and thermal imagery', Internati, 10 - 15 April 2011, Darling Harbour,Sydney, NSW, pp. 4. (2011) [Non Refereed Conference Paper] Co-authors: Lucieer A; Watson CS | |
| 2011 | Wallace L, Lucieer A, Turner D, Watson C, 'Error assessment and mitigation for hyper-temporal UAV-borne LiDAR surveys of forest inventory', SilviLaser 2011, 16-20 October 2011, Hobart, Tasmania, pp. 1-13. (2011) [Refereed Conference Paper] Co-authors: Wallace L; Lucieer A; Watson C | |
| 2010 | Lucieer A, Robinson S, Turner DJ, 'Using an unmanned aerial vehicle (UAV) for ultra-high resolution mapping of Antarctic moss beds', Proceedings of the Australasian Remote Sensing and Photogrammetry Conference , September 2010, Alice Springs (2010) [Non Refereed Conference Paper] Co-authors: Lucieer A | |
| 2010 | Turner DJ, 'Monitoring vegetation with an Unmanned Aerial Vehicle (UAV)', School of Geography & Environmental Studies Conference Abstracts 2010, 28 June 2010, Sandy Bay (2010) [Conference Extract] | |
| 1997 | Michael KJ, Turner D, Williams R, 'Application of a spatial expert system to the classification of Antarctic AVHRR imagery', Antarctica and Global Change: Interactions and Impacts, Hobart, pp. 0501. (1997) [Conference Extract] Co-authors: Michael KJ |
Contract Report, Consultant's Report
(6 outputs)| Year | Citation | Altmetrics |
|---|---|---|
| 2023 | Harrison M, Whitehead J, Turner DJ, Guerschman JP, Leverton C, et al., 'Future Drought Fund - Natural Resources Management Project : Milestone 5', 5 (2023) [Contract Report] Co-authors: Harrison M; Leverton C; Ball P | |
| 2022 | Harrison M, Whitehead J, Turner D, Leverton C, Ball P, et al., 'Future Drought Fund : Natural Resources Management Project Milestone 2', 2 (2022) [Contract Report] Co-authors: Harrison M; Leverton C; Ball P | |
| 2022 | Harrison M, Whitehead J, Turner D, Playsted C, Newey L, et al., 'Future Drought Fund : Natural Resources Management Project Milestone 4', 4 (2022) [Contract Report] Co-authors: Harrison M; Leverton C; Ball P | |
| 2022 | Harrison MT, Leverton C, Turner D, Ball P, Ogungbuyi M, et al., 'Future Drought Fund - Natural Resources Management, 'Okehampton', Triabunna' (2022) [Contract Report] Co-authors: Harrison MT; Leverton C; Ball P | |
| 2021 | Harrison MT, Turner DJ, Whitehead J, Ball PD, Ogungbuyi M, et al., 'National Landcare Program : Small Farms Small Grants Round 2 Project Summary', Australian Government (2021) [Contract Report] Co-authors: Harrison MT; Ball PD; Leverton C | |
| 2021 | Mathewson M, Whitehead J, Harwin SJ, Turner D, Tickle P, et al., 'Future Drought Fund : Natural Resources Management Project : Milestone 1', 1 (2021) [Contract Report] Co-authors: Mathewson M; Harwin SJ; Ball P |
Grants & Funding
Funding Summary
Number of grants
12
Total funding
$4,189,937
Projects
Use of drone technology in seabird population studies (2022)$34,000
- Description
- To develop survey techniques utilising advanced UAS platforms and sensors to produce population counts of the seabirds
- Funding
- Winifred Violet Scott Charitable Trust ($34,000)
- Scheme
- Grant
- Administered By
- University of Tasmania
- Research Team
- Lucieer A; Turner DJ
- Year
- 2022
Managing Risk in South East Asian Forest Biosecurity (2022 - 2025)$1,752,470
- Description
- This project aims to enhance networks in SE Asian forest biosecurity by providing innovative tools to underpin good biosecurity practice. The science components include remote sensing for detection of pest and disease impacts, climate modelling for potential changes in impact and breeding of disease-tolerant hardwoods to mitigate disease impacts.
- Funding
- Australian Centre for International Agricultural Research ($1,752,470)
- Scheme
- Grant-Research and Development
- Administered By
- University of Tasmania
- Research Team
- Mohammed CL; Glen M; Harris R; Turner DJ; Warman R
- Period
- 2022 - 2025
Geospatial positioning and fusion: is real-time sub-metre, accuracy operationally feasible in forestry environments? (2022 - 2025)$1,309,918
- Description
- This project seeks to offer improved forest asset management practices and value recovery through the enablement of higher precision and more accurate GNSS-based positioning and improved geospatial data processing, integration and fusion..
- Funding
- Forest & Wood Products Australia Limited ($1,309,918)
- Scheme
- Grant-Research and Development
- Administered By
- University of South Australia
- Research Team
- O'Hehir JF; Lucieer A; Turner DJ
- Period
- 2022 - 2025
Building a UAV Capacity for TERN (2021 - 2022)$274,238
- Description
- This project is part of the NCRIS funded Terrestrial Ecosystem Research Network (TERN) and aims to advice drone/UAV remote sensing capabilities in this national ecosystem monitoring project. The project aims to develop robust data collection protocols and image analysis workflows for ecosystem science monitoring in Australia. The drone/UAV sector in Australia is growing rapidly. Much of the activity across industry and research uses off the shelf sensors for generation of RGB and multispectral orthomosaics, and 3D point clouds. The scientific literature from the past decade has demonstrated the power of UAV remote sensing for ecosystem science. However, the data collection and processing workflows are not yet sufficiently robust for long-term data collection and monitoring. This project builds on TERN's previous investment in defining scientifically-relevant processes for UAV-based data collection and management. UAVs contribute to calibration and validation of satellite products by providing information at spatial scales relevant to community-scale ecosystem processes: providing spatial context for, or scaling-up from, field or tower-based measurements, and providing ultrahigh-resolution spatial information (<10 cm) for comparison with airborne or satellite imagery. UAVs also provide new opportunities for sensor development and testing. The medium-term aim is to establish a national network of trained operators for ecosystems sciences using a set of effective practices for consistent data collection, management and product generation. This includes members of the other TERN platforms who will be trained to provide for their own UAV remote sensing requirements.
- Funding
- CSIRO-Commonwealth Scientific & Industrial Research Organisation ($274,238)
- Scheme
- Contract Research
- Administered By
- University of Tasmania
- Research Team
- Lucieer A; Turner DJ; Cox B
- Period
- 2021 - 2022
Mapping fire damage in Tasmanian central plateau region with Unmanned Aerial Systems (drones) (2021)$17,087
- Description
- DPIPWE has request that we use our drone mapping expertise to test the feasibility of mapping a selection of twenty one 1 hectare plots in the Lake Augusta region of the Tasmanian central plateau. We will determine the most efficient way to collect data from these sites which will also include the collection of GPS points for both ground control and to provide validation points for the vegetation classifications to be created. The aim is to determine if the data collected over these plots can be accurately classified into vegetation classes such that future monitoring of the plots can occur and post fire recovery rates can be determined.
- Funding
- Department of Natural Resources and Environment Tasmania ($17,087)
- Scheme
- Contract Research
- Administered By
- University of Tasmania
- Research Team
- Turner DJ
- Year
- 2021
Mapping fire severity in Alpine Sphagnum Bogs and Associated Fens within Lake Mackenzie bushfire area, Tasmanian Wilderness World Heritage Area. (2021)$2,500
- Description
- Funds are requested to allow collection of ground-based validation data for RPA ('drone') imagery of fire impacts in Sphagnum Bogs in the Tasmanian Wilderness World Heritage Area. These data will allow development of a robust and efficient fire severity mapping method, tailored to Sphagnum Bogs, which will in turn allow prioritisation of post-fire rehabilitation interventions.
- Funding
- Bushfire and Natural Hazard CRC ($2,500)
- Scheme
- Grant-Quick Response Fund
- Administered By
- University of Tasmania
- Research Team
- Bowman DMJS; Turner DJ; Harwin SJ
- Year
- 2021
Improving the absolute accuracy of temperature measurements derived from low cost, UAS based, thermal cameras. (2019)$20,532
- Description
- Collaborators intend to build a simple housing that (as far as possible) shields the sensor from any airflow during flight. Their previous research (see final report from our CRG project) demonstrated that the camera temperature drift changes as the UAS changes flight direction and thus the relative wind speed over the sensor increases or decreases. Such a housing will insulate the camera for the wind and thus eliminate much of this effect. However, if the camera is in a sealed box it will slowly heat up the confined environment (camera temperatures of > 50 C have been observed in such an environment). Thus, it will be necessary to provide some ventilation and perhaps a cooling fan to keep the camera temperature stable and prevent overheating.To test the success of the camera housing, high accuracy temperature probes will be attached to the camera body to monitor temperature during flight tests to confirm camera body temperature stability. Later these recorded temperatures can be used and input to calibration models (developed here at KAUST). Once the effectiveness of the camera enclosure has been verified, the camera can be calibrated in the lab against a blackbody of known temperature using methods developed in our previous KAUST project and with some new methods developed by current KAUST PhD students working on thermal cameras for agriculture.Once the calibration is completed, further flight tests will be carried out with targets of known temperature in the scene to confirm that the calibration can return accurate surface temperatures and that the drift in the camera measurements has been minimized.
- Funding
- king Abdullah University of Science and technology ($20,532)
- Scheme
- Contract Research
- Administered By
- University of Tasmania
- Research Team
- Lucieer A; Turner DJ
- Year
- 2019
Using pre and post LIDAR to assess the severity of the 2019 Tasmanian Bushfires (2019)$88,105
- Description
- This project aims to use pre and post fire high resolution three-dimensional remote sensing data (LiDAR) to understand the geographic variation of the environmental impacts of bushfire in unlogged and logged forested landscapes in southern Tasmania and develop new tools for post fire fuel hazard score assessment.
- Funding
- Bushfire and Natural Hazard CRC ($88,105)
- Scheme
- Grant
- Administered By
- University of Tasmania
- Research Team
- Bowman DMJS; Leonard S; Baker SC; Harris R; Jordan GJ; Lucieer A; Wardlaw TJ; Turner DJ; Williamson G; Turner PAM; Styger JK
- Year
- 2019
Precision and accuracy of Unmanned Aircraft System (UAS) positioning with SBAS, SBAS DFMC and PPP - Application in Precision Agriculture: Project Demonstrator 8103 (2018)$119,296
- Description
- This project focuses on the application of SBAS, SBAS DFMC and PPP services for the precise positioning of Unmanned Aircraft Systems (UAS) and direct georeferencing of sensor data in precision agriculture applications. The UAS industry is growing rapidly with the agricultural sector being one of the fastest growing sectors adopting UAS technology. Multispectral imaging from UAS can provide new insights into fine-scale spatial variability of crop health. This information can be used by farmers and farm managers to improve efficiencies in application of water, fertilisers, pesticides, herbicides, and other inputs. This project will integrate SBAS GNSS hardware in a UAS configuration typically used in farm environments, namely a small multi-rotor UAS (<15 kg) with multispectral imaging capabilities. The project will assess the performance of SBAS GNSS positioning for typical UAS flight dynamics and will characterise the levels of noise in the GNSS solution. We will quantify the accuracy of direct georeferencing of a multispectral orthomosaic based on on-board SBAS GNSS data. The intended outcome is a low-cost and efficient positioning solution for UAS-based surveys producing ultra-high resolution imagery at high absolute accuracy with direct benefits in precision agriculture and to on-farm efficiencies.
- Funding
- Cooperative Research Centre for Spatial Information ($119,296)
- Scheme
- SBAS Grant
- Administered By
- University of Tasmania
- Research Team
- King MA; Lucieer A; Watson CS; Boersma M; Turner DJ
- Year
- 2018
TWWHA BUSHFIRE RECOVERY: LAKE MACKENZIE REHABILITATION TRIALS - RFT 1714 (2017 - 2022)$482,000
- Description
- We will use a multi-scale (landscape, micro-catchment and plot scales) approach to address the core objectives of the tender: (a) promoting recovery, rehabilitation and/or maintenance of pencil pine and sphagnum community values, where these have been damaged by fire, (b) mitigation of long term erosion risks in high elevation, fire-damaged soils, and (c) development of a decision tool to guide effective rehabilitation methods. This multi-scale approach leverages off recent field research in the area as well as current student projects.
- Funding
- Department of Natural Resources and Environment Tasmania ($482,000)
- Scheme
- Contract Research
- Administered By
- University of Tasmania
- Research Team
- Bowman DMJS; Turner DJ; French BJ
- Period
- 2017 - 2022
Barwon Heads cliff monitoring experiment (2014)$1,791
- Description
- The aim of this project is to evaluate the feasibility of using stereogrammetry software to reconstruct and model a cliff face. Data will be analysed and a strategy will be developed to test the long-term viability of using this software. The project will be evaluated by sharing research data during a field visit and through quality controlled publication of the outcomes.
- Funding
- Barwon Coast Committee of Management Inc ($1,791)
- Scheme
- Contract Research
- Administered By
- University of Tasmania
- Research Team
- Turner DJ
- Year
- 2014
Mapping and Monitoring Saltmarsh Ecosystems in Tasmania with Novel Remote Sensing Techniques (2011)$88,000
- Funding
- Winifred Violet Scott Charitable Trust ($88,000)
- Scheme
- Grant
- Administered By
- University of Tasmania
- Research Team
- Lucieer A; Kirkpatrick JB; Watson CS; Turner DJ; Mount RE
- Year
- 2011
Research Supervision
Current
4
Current
| Degree | Title | Commenced |
|---|---|---|
| PhD | New Methodologies for Visual and Thermal Unmanned Aerial System (UAS) Assessments of Tasmanian Offshore Seabird and Mammal Populations | 2020 |
| PhD | Detection of Large Mammals in Tasmania Using Unmanned Aerial Vehicles (UAV) and Deep Learning Techniques | 2020 |
| PhD | Advancing Hyperspectral Imaging from a Drone for Ecosystem Monitoring | 2021 |
| PhD | Improved Monitoring of Ecosystem Resilience using High-resolution Remote Sensing | 2023 |