Profiles

Arko Lucieer

Professor Arko Lucieer

Arko Lucieer

Head of School and Professor
Geography, Planning, and Spatial Sciences

Room GEO435 , GPSS

+61 3 6226 2140 (phone)

Arko.Lucieer@utas.edu.au

Arko is a Professor in Remote Sensing at The University of Tasmania, Australia. He works within the Surveying and Spatial Sciences group in the School of Technology, Environments and Design. His research focuses on quantitative environmental remote sensing, using satellite and airborne imagery and advanced image processing techniques to better understand the environment. He is the founder and lead investigator of the TerraLuma research group, focusing on the development and application of unmanned aircraft systems (UAS, also known as UAVs or drones) and image processing techniques for environmental, agricultural, and high-precision aerial mapping applications.

Biography

Before joining The University of Tasmania in 2004, Arko was a PhD student at the International Institute for Geo-Information Science and Earth Observation (ITC) and Utrecht University in The Netherlands (2000 – 2004) where he looked at quantifying and visualising uncertainty in image segmentation and classification algorithms. He completed his MSc in Physical Geography at Utrecht University in 2000, specialising in hyperspectral remote sensing and GIS.

Career summary

Qualifications

PhD in Remote Sensing	Uncertainties in Segmentation and their Visualisation	International Institute for Geo-Information Science and Earth Observation (ITC) and Utrecht University	The Netherlands	1/10/2004
MSc cum laude in Physical Geography	The DAIS La Peyne experiment: Using the optical and thermal DAIS bands to survey and model the soil surface heat balance	Utrecht University	The Netherlands	1/09/2000

Languages (other than English)

Dutch: native language
German: basic

Memberships

Professional practice

IEEE Geoscience and Remote Sensing Society (GRSS)
Australian Association for Unmanned Systems (AAUS)

Committee associations

Arko is an Editorial Board member for the following international journals:

Remote Sensing (since May 2015)
International Journal of Applied Earth Observation and Geoinformation (June 2012)
International Journal of Unmanned Systems Engineering (IJUSEng, since Jan 2013)

Administrative expertise

Management of the TerraLuma research group
Node leader of the Tasmanian node of the national AusCover project
Managing research projects (conceptual design, employment, budgets, research direction, outreach)

Academic Coordinator for the Publication Entry System (PES) at UTAS

Teaching

Remote Sensing, Geographical Information Systems (GIS), Spatial Analysis

Teaching expertise

Arko has been a unit coordinator, lecturer, and practical tutor for Remote Sensing and GIS units at the University of Tasmania since 2004.

Teaching responsibility

Arko is the Course Coordinator of the Master of Applied Science (MAppSci) in Environmental Management and Spatial Sciences: K7J4

He is the unit coordinator and lecturer for the following units:

Undergraduate level:

KGG103 – Remote Sensing: Introduction
KGG213 – Remote Sensing: Image Analysis
KGG212 – GIS: Spatial Analysis
KGG375 – GIS: Advanced Spatial Analysis

Graduate level:

KGG542 – Environmental Remote Sensing A (co-taught with KGG103)
KGG543 – Environmental Remote Sensing B (co-taught with KGG213)
KGG540 – Environmental GIS B (co-taught with KGG212)
KGG541 – Environmental GIS C (co-taught with KGG375)
KGG704/KGG705 Master of Applied Science Research Project
KGG702/KGG708 Master of Applied Science Thesis

And contributes to student supervision in the following undergraduate unit:

KGG355 – Spatial Research Project

Research Appointments

AusCover TAS-node leader: Since 2014 I have been the node leader of the Tasmanian node of the national AusCover remote sensing project, which is part of the Australian Terrestrial Ecosystem Research Network (TERN)

Journal referee: I have been asked to review over 80 papers (19 in 2013, on average 10/year) in high ranking remote sensing and GIS journals, such as Remote Sensing of Environment and IEEE Transactions on Geoscience and Remote Sensing.

Grant referee: Since 2011 I have acted as an ARC reviewer (OzReader) and responsible for review of ARC Discovery, Future Fellowship, Linkage and DECRAs. In 2007 and 2009 I was an international referee for the Antarctic Science Committee and the Research Grants Council (RGC) of Hong Kong, respectively.

Research Invitations

Keynote at the 3^rd International conference on Environmental Monitoring and Assessment, Aarhus, Denmark, 1 – 2 Oct 2015
International workshop on laser scanning, Cologne, Germany, 16 Mar. 2015
Geoscience Colloquium University of Cologne, Cologne, Germany, 8 Dec. 2014
Foresttech 2014, Melbourne, Australia, 25 Nov 2014
ICASD International Workshop 'UAV-based Remote Sensing Methods for Monitoring Vegetation', Cologne, Germany, 10 Sep. 2013
ICASD International Workshop 'Low Altitude Remote Sensing for Precision Agriculture', Beijing, China, 1 Dec. 2012

View more on Professor Arko Lucieer in WARP

Expertise

Environmental and quantitative remote sensing
Unmanned Aircraft Systems (UAS), Unmanned Aerial Vehicles (UAVs), Remotely Piloted Aircraft Systems (RPAS), drones
Multispectral, hyperspectral, thermal sensors, sensor integration, sensor calibration, and image correction (geometric, radiometric, and spectral), and derivation of biophysical and biochemical map products
Laser scanning (LiDAR) and point cloud analysis
Structure-from-Motion 3D point clouds
Image classification and machine learning
Image texture measures
Geographic object-based image analysis (GEOBIA)
Change detection
Terrain analysis
Advanced spatial analysis and spatial statistics
Applications: vegetation mapping, landslides, precision agriculture and viticulture, coastal erosion, forestry, Antarctic and sub-Antarctic environments

Research Themes

Arko's research aligns with three University's research themes: Marine, Antarctic and Maritime; Environment, Resources and Sustainability; and Data, Knowledge and Decisions

The TerraLuma research project at the University of Tasmania develops novel tools and algorithms for environmental remote sensing applications and aerial surveys using Unmanned Aircraft Systems (UAS). Up-to-date and accurate spatial data are of crucial importance for sustainable management of our eco- and agrosystems. UAS offer an exciting and novel opportunity to map and understand the environment in greater detail than ever before.

One of the unique aspects of this project is that we operate and integrate multiple sensors to 'make the invisible visible'. These specialised sensor include multispectral and hyperspectral (VNIR), thermal, and LiDAR sensors to map and monitor different aspects of the environment at centimetre resolution on-demand. UAS give the ability to bridge the scale gap between field-based observations and full-scale airborne or satellite observations.

We have worked on a range of applications, including precision agriculture and viticulture; mapping and monitoring vegetation in remote locations such as Antarctica; deriving 3D tree structure for forest inventories; landslide deformation monitoring; 3D stock pile and quarry surveys and volume estimations; assessment of coastal erosion; mapping of geological structures; better understanding functions of natural vegetation communities such as saltmarshes; transforming images into knowledge.

Collaboration

In the past five years, Arko has had research collaborations with CSIRO (Canberra, Australia), University of Wollongong (Australia), University of Cologne (Germany), University of Twente (Netherlands), University of Utrecht (Netherlands), Chinese Agricultural University (Beijing, China), University of Calgary (Canada)The University of Tasmania has supported two professors in remote sensing from The Netherlands to visit and collaborate with his group through the Visiting Scholars and Fellows scheme.

In addition, he has supported five international PhD students with research visits to my lab. He welcomes requests or applications for research visits and collaborations.

Awards

Between 2006 and 2008, Arko was a co-investigator on the Biodiversity in Grain and Graze: Spatial Analysis, Soil and Invertebrate sub-project (Land and Water Australia: $184K), which won the prestigious Prime Minister's Banksia Environmental Award in July 2008
Best presentation for established scientist: Strategic Science in Antarctica conference, Hobart, Tasmania, 2013
Faculty Award for highly cited paper Bergstrom et al. (2009) (relative citation index >8)
Best pitch award and the overall runner-up award: UniQuest TrailBlazer research commercialisation competition, June 2012
Best conference presentation award: at the Australasian Remote Sensing and Photogrammetry Conference (ARSPC 2008), Darwin, Australia, July 2008.

Current projects

Arko's current focus is on the use of UAS for the assessment of sun-induced chlorophyll fluorescence funded by an ARC Discovery project. He is involved in a project that looks at UAS-borne LiDAR for characterisation of forest structure. He leads a project on the use of UAS in Antarctica to study the health of moss beds with hyperspectral UAS remote sensing funded by the Australian Antarctic Science Grant scheme. Finally, Arko leads several active projects that focus on UAS for precision agriculture and viticulture, and landslide deformation monitoring. For more information see:http://www.terraluma.net.

Fields of Research

Photogrammetry and remote sensing (401304)
Physical geography and environmental geoscience (370999)
Forestry management and environment (300707)
Geospatial information systems and geospatial data modelling (401302)
Terrestrial ecology (310308)
Landscape ecology (410206)
Sensor technology (incl. chemical aspects) (340108)
Agriculture, land and farm management (300299)
Geomorphology and earth surface processes (370901)
Ecological impacts of climate change and ecological adaptation (410102)
Natural resource management (410406)
Pollution and contamination (410599)
Biosecurity science and invasive species ecology (410202)
Human information interaction and retrieval (461003)
Agricultural spatial analysis and modelling (300206)
Crop and pasture biochemistry and physiology (300404)
Instrumental methods (excl. immunological and bioassay methods) (340105)
Marine and estuarine ecology (incl. marine ichthyology) (310305)
Environmental management (410404)
Tree improvement (incl. selection and breeding) (300709)
Population ecology (310307)
Genetics (310599)
Volcanology (370512)
Agricultural land management (300202)
Conservation and biodiversity (410401)
Ecological applications (410299)
Fire ecology (410205)
Vertebrate biology (310914)
Environmental management (410499)
Analytical spectrometry (340101)
Aboriginal and Torres Strait Islander environmental knowledges (450304)
Physical oceanography (370803)
Information modelling, management and ontologies (460903)
Geomatic engineering (401399)
Analog electronics and interfaces (400901)
Horticultural crop growth and development (300802)
Image processing (460306)
Other earth sciences (379999)
Horticultural crop protection (incl. pests, diseases and weeds) (300804)
Community ecology (excl. invasive species ecology) (310302)
Ecological physiology (310303)
Surveying (incl. hydrographic surveying) (401306)
Forest ecosystems (300703)
Ecosystem function (410203)
Wildlife and habitat management (410407)
Agricultural biotechnology (300199)
Environmental assessment and monitoring (410402)
Photovoltaic devices (solar cells) (400910)
Navigation and position fixing (401303)
Sustainable agricultural development (300210)
Environmental rehabilitation and restoration (410405)
Agronomy (300403)
Aquaculture and fisheries stock assessment (300502)
Biological adaptation (310403)
Global change biology (319902)
Forestry fire management (300706)
Human impacts of climate change and human adaptation (410103)
Surface water hydrology (370704)
Climate change science (370299)
Soil physics (410605)
Agricultural engineering (409901)
Wood fibre processing (300711)
Oenology and viticulture (300805)
Plant physiology (310806)
Climate change impacts and adaptation (410199)
Natural hazards (370903)
Environmental education and extension (410403)
Visual effects (360506)
Wood processing (300712)
Evolutionary impacts of climate change (310406)
Other environmental sciences (419999)
Aerospace engineering (400199)
Applications in life sciences (460103)
Computer vision (460304)

Research Objectives

Assessment and management of coastal and estuarine ecosystems (180201)
Assessment and management of terrestrial ecosystems (180601)
Expanding knowledge in the environmental sciences (280111)
Other environmental management (189999)
Assessment and management of freshwater ecosystems (180301)
Application software packages (220401)
Terrestrial biodiversity (180606)
Assessment and management of Antarctic and Southern Ocean ecosystems (180403)
Biodiversity in Antarctic and Southern Ocean environments (180404)
Softwood plantations (260205)
Social impacts of climate change and variability (190103)
Evaluation, allocation, and impacts of land use (180603)
Rehabilitation or conservation of terrestrial environments (180604)
Effects of climate change on Antarctic and sub-Antarctic environments (excl. social impacts) (190503)
Expanding knowledge in the earth sciences (280107)
Climatological hazards (e.g. extreme temperatures, drought and wildfires) (190401)
Information systems, technologies and services (220499)
Plant extract crops (260606)
Sown pastures (excl. lucerne) (100505)
Forestry (260299)
Native forests (260204)
Management of water consumption by plant production (260104)
Air quality (180101)
Terrestrial systems and management (180699)
Control of pests, diseases and exotic species in terrestrial environments (180602)
Expanding knowledge in the chemical sciences (280105)
Management of Antarctic and Southern Ocean environments (180499)
Assessment and management of benthic marine ecosystems (180501)
Expanding knowledge in the agricultural, food and veterinary sciences (280101)
Natural hazards (190499)
Ecosystem adaptation to climate change (190102)
Tree nuts (excl. almonds and macadamias) (260515)
Hardwood plantations (260201)
Environmentally sustainable plant production (260199)
Climate change mitigation strategies (190301)
Other information and communication services (229999)
Environmentally sustainable information and communication services (220299)
Horticultural crops (260599)
Expanding knowledge in the physical sciences (280120)
Scientific instruments (241003)
Understanding climate change (190599)
Climate change adaptation measures (excl. ecosystem) (190101)
Wine grapes (260608)
Coastal and estuarine systems and management (180299)
Timber materials (120306)
Other plant production and plant primary products (269999)
Soybeans (260311)
Sustainability indicators (190209)
Understanding the impact of natural hazards caused by climate change (190508)
Field grown vegetable crops (260505)
Maize (260306)
Climate change models (190501)
Marine biodiversity (180504)
Cannabis (260601)
Protection and conservation of Antarctic and Southern Ocean environments (180406)
Visual communication (130205)
The creative arts (130103)
Stone fruit (excl. avocado) (260513)
Carbon capture and storage (170302)

Publications

A complete overview of my publication record can be found on the WARP database.

An overview of my research funding can also be found on the WARP database.

Citation Summary (statistics from 21 May 2015): Of 83 publications (2001-2015), Arko has published 36 international peer-refereed papers, 4 refereed book chapters, 11 full-refereed conference papers, 18 full conference papers, and 12 consultancy reports. The total number of citations to my publications is: 692 (Scopus), 1289 (Google Scholar). His Hirsch-index (h-Index) is 14 (Scopus), 18 (Google Scholar) with two key first author papers cited 60 and 44 times respectively. Over the last five years he has published on average 6.2 peer-refereed papers per year and his upward trajectory in research output is demonstrated by a publication rate of 19 peer-reviewed papers since 2012. Arko has consistently published in the top quartile of journals in the remote sensing category (JCR and InCites 15/05/2015).

Total publications

171

Highlighted publications

(11 outputs)

Year	Type	Citation
2014	Journal Article	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: Turner D Tweet
2014	Journal Article	Lucieer A, Malenovsky Z, Veness T, Wallace L, 'HyperUAS - imaging spectroscopy from a multirotor unmanned aircraft system', Journal of Field Robotics, 31, (4) pp. 571-590. ISSN 1556-4959 (2014) [Refereed Article] DOI: 10.1002/rob.21508 [eCite] [Details] Citations: Scopus - 146Web of Science - 130 Co-authors: Malenovsky Z; Veness T; Wallace L Tweet
2014	Journal Article	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: Turner D Tweet
2014	Journal Article	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: Turner D; Wallace L Tweet
2012	Journal Article	Kelcey J, Lucieer A, 'Sensor Correction of a 6-Band Multispectral Imaging Sensor for UAV Remote Sensing', Remote Sensing, 4, (5) pp. 1462-1493. ISSN 2072-4292 (2012) [Refereed Article] DOI: 10.3390/rs4051462 [eCite] [Details] Citations: Scopus - 187Web of Science - 160 Co-authors: Kelcey J Tweet
2012	Journal Article	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; Watson C; Turner D Tweet
2009	Journal Article	Bergstrom DM, Lucieer A, Kiefer K, Wasley J, Belbin L, et al., 'Indirect effects of invasive species removal devastate World Heritage Island', Journal of Applied Ecology, 46, (1) pp. 73-81. ISSN 0021-8901 (2009) [Refereed Article] DOI: 10.1111/j.1365-2664.2008.01601.x [eCite] [Details] Citations: Scopus - 303Web of Science - 273 Co-authors: Pedersen TK Tweet
2005	Journal Article	Lucieer A, Stein A, 'Texture-based landform segmentation of LiDAR imagery', International Journal of Applied Earth Observation and Geoinformation, 6, (3-4) pp. 261-270. ISSN 0303-2434 (2005) [Refereed Article] DOI: 10.1016/j.jag.2004.10.008 [eCite] [Details] Citations: Scopus - 52Web of Science - 42 Tweet
2005	Journal Article	Lucieer A, Stein A, Fisher P, 'Multivariate texture-based segmentation of remotely sensed imagery for extraction of objects and their uncertainty', International Journal of Remote Sensing, 26, (14) pp. 2917-2936. ISSN 0143-1161 (2005) [Refereed Article] DOI: 10.1080/01431160500057723 [eCite] [Details] Citations: Scopus - 95Web of Science - 79 Tweet
2004	Journal Article	Lucieer A, Kraak MJ, 'Interactive and visual fuzzy classification of remotely sensed imagery for exploration of uncertainty', International Journal of Geographical Information Science, 18, (5) pp. 491-512. ISSN 1365-8816 (2004) [Refereed Article] DOI: 10.1080/13658810410001658094 [eCite] [Details] Citations: Scopus - 35Web of Science - 26 Tweet
2002	Journal Article	Lucieer A, Stein A, 'Existential uncertainty of spatial objects segmented from satellite sensor Imagery', IEEE Transactions on Geoscience and Remote Sensing, 40, (11) pp. 2518-2521. ISSN 0196-2892 (2002) [Refereed Article] DOI: 10.1109/TGRS.2002.805072 [eCite] [Details] Citations: Scopus - 75Web of Science - 68 Tweet

Journal Article

(99 outputs)

Year	Citation	Altmetrics
2023	Bowman DMJS, Ondei S, Lucieer A, Foyster S, Prior LD, 'Forest‑sedgeland boundaries are historically stable and resilient to wildfre at Blakes Opening in the Tasmanian Wilderness World Heritage Area, Australia', Landscape Ecology, 38 pp. 205-222. ISSN 1572-9761 (2023) [Refereed Article] DOI: 10.1007/s10980-022-01558-x [eCite] [Details] Co-authors: Bowman DMJS; Ondei S; Foyster S; Prior LD Tweet
2022	Yadev BKV, Lucieer A, Jordan GJ, Baker SC, 'Using topographic attributes to predict the density of vegetation layers in a wet eucalypt forest', Australian Forestry, 85, (1) pp. 25-37. ISSN 0004-9158 (2022) [Refereed Article] DOI: 10.1080/00049158.2021.2004687 [eCite] [Details] Citations: Scopus - 1Web of Science - 1 Co-authors: Yadev BKV; Jordan GJ; Baker SC Tweet
2021	Camarretta N, Harrison PA, Lucieer A, Potts BM, Davidson N, et al., 'Handheld laser scanning detects spatiotemporal differences in the development of structural traits among species in restoration plantings', Remote Sensing, 13, (9) Article 1706. ISSN 2072-4292 (2021) [Refereed Article] DOI: 10.3390/rs13091706 [eCite] [Details] Citations: Scopus - 8Web of Science - 5 Co-authors: Camarretta N; Harrison PA; Potts BM; Hunt M Tweet
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; Turner D Tweet
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; Turner D Tweet
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; Turner D Tweet
2021	Iqbal IA, Osborn J, Stone C, Lucieer A, 'A comparison of ALS and dense photogrammetric point clouds for individual tree detection in radiata pine plantations', Remote Sensing, 13, (17) Article 3536. ISSN 2072-4292 (2021) [Refereed Article] DOI: 10.3390/rs13173536 [eCite] [Details] Citations: Scopus - 1Web of Science - 1 Co-authors: Iqbal IA; Osborn J Tweet
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: Turner D Tweet
2021	Montes Herrera JC, Cimoli E, Cummings V, Hill N, Lucieer A, et al., 'Underwater Hyperspectral Imaging (UHI): a review of systems and applications for proximal seafloor ecosystem studies', Remote Sensing, 13, (17) Article 3451. ISSN 2072-4292 (2021) [Refereed Article] DOI: 10.3390/rs13173451 [eCite] [Details] Citations: Scopus - 6Web of Science - 5 Co-authors: Montes Herrera JC; Cimoli E; Hill N; Lucieer V Tweet
2021	Togeiro de Alckmin G, Kooistra L, Rawnsley R, Lucieer A, 'Comparing methods to estimate perennial ryegrass biomass: Canopy height and spectral vegetation indices', Precision Agriculture, 22 pp. 205-225. ISSN 1385-2256 (2021) [Refereed Article] DOI: 10.1007/s11119-020-09737-z [eCite] [Details] Citations: Scopus - 15Web of Science - 16 Co-authors: Togeiro de Alckmin G; Rawnsley R Tweet
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; Turner D Tweet
2021	Yadav BKV, Lucieer A, Baker SC, Jordan GJ, 'Tree crown segmentation and species classification in a wet eucalypt forest from airborne hyperspectral and LiDAR data', International Journal of Remote Sensing, 42, (20) pp. 7952-7977. ISSN 0143-1161 (2021) [Refereed Article] DOI: 10.1080/01431161.2021.1956699 [eCite] [Details] Citations: Scopus - 5Web of Science - 5 Co-authors: Yadav BKV; Baker SC; Jordan GJ Tweet
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: Turner D Tweet
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: Turner D Tweet
2020	Bendig J, Malenovsky Z, Gautam D, Lucieer A, 'Solar-induced chlorophyll fluorescence measured from an unmanned aircraft system: sensor etaloning and platform notion correction', IEEE Transactions on Geoscience and Remote Sensing, 58, (5) pp. 3437-3444. ISSN 0196-2892 (2020) [Refereed Article] DOI: 10.1109/TGRS.2019.2956194 [eCite] [Details] Citations: Scopus - 17Web of Science - 17 Co-authors: Bendig J; Malenovsky Z Tweet
2020	Camarretta N, Harrison PA, Bailey T, Davidson N, Lucieer A, et al., 'Stability of species and provenance performance when translocated into different community assemblages', Restoration Ecology, 28, (2) pp. 447-458. ISSN 1061-2971 (2020) [Refereed Article] DOI: 10.1111/rec.13098 [eCite] [Details] Citations: Scopus - 8Web of Science - 8 Co-authors: Camarretta N; Harrison PA; Bailey T; Hunt MA; Potts BM Tweet
2020	Camarretta N, Harrison PA, Bailey T, Potts B, Lucieer A, et al., 'Monitoring forest structure to guide adaptive management of forest restoration: a review of remote sensing approaches', New Forests, 51 pp. 573-596. ISSN 0169-4286 (2020) [Refereed Article] DOI: 10.1007/s11056-019-09754-5 [eCite] [Details] Citations: Scopus - 52Web of Science - 55 Co-authors: Camarretta N; Harrison PA; Bailey T; Potts B; Hunt M Tweet
2020	Camarretta N, Harrison PA, Lucieer A, Potts BM, Davidson N, et al., 'From drones to phenotype: Using UAV-LiDAR to detect species and provenance variation in tree productivity and structure', Remote Sensing, 12, (19) Article 3184. ISSN 2072-4292 (2020) [Refereed Article] DOI: 10.3390/rs12193184 [eCite] [Details] Citations: Scopus - 22Web of Science - 22 Co-authors: Camarretta N; Harrison PA; Potts BM; Hunt M Tweet
2020	Cimoli E, Lucieer V, Meiners KM, Chennu A, Castrisios K, et al., 'Mapping the in situ microspatial distribution of ice algal biomass through hyperspectral imaging of sea-ice cores', Scientific Reports, 10, (1) Article 21848. ISSN 2045-2322 (2020) [Refereed Article] DOI: 10.1038/s41598-020-79084-6 [eCite] [Details] Citations: Scopus - 9Web of Science - 9 Co-authors: Cimoli E; Lucieer V; Meiners KM; Castrisios K; Martin A; Kennedy F Tweet
2020	Gautam D, Lucieer A, Bendig J, Malenovsky Z, 'Footprint determination of a spectroradiometer mounted on an unmanned aircraft system', IEEE Transactions on Geoscience and Remote Sensing, 58, (5) pp. 3085-3096. ISSN 0196-2892 (2020) [Refereed Article] DOI: 10.1109/TGRS.2019.2947703 [eCite] [Details] Citations: Scopus - 11Web of Science - 12 Co-authors: Bendig J; Malenovsky Z Tweet
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: Turner D Tweet
2020	Iqbal F, Lucieer A, Barry K, 'Prediction of poppy thebaine alkaloid concentration using UAS remote sensing', Precision Agriculture, 21 pp. 1045-1056. ISSN 1385-2256 (2020) [Refereed Article] DOI: 10.1007/s11119-020-09707-5 [eCite] [Details] Co-authors: Iqbal F; Barry K Tweet
2020	KIng DH, Wasley J, Ashcroft MB, Ryan-Colton E, Lucieer A, et al., 'Semi-automated analysis of digital photographs for monitoring East Antarctic vegetation', Frontiers in Plant Science, 11 Article 766. ISSN 1664-462X (2020) [Refereed Article] DOI: 10.3389/fpls.2020.00766 [eCite] [Details] Citations: Scopus - 7Web of Science - 5 Tweet
2020	Madsen B, Treier UA, Zlinszky A, Lucieer A, Normand S, 'Detecting shrub encroachment in seminatural grasslands using UAS LiDAR', Ecology and Evolution, 10, (11) pp. 4876-4902. ISSN 2045-7758 (2020) [Refereed Article] DOI: 10.1002/ece3.6240 [eCite] [Details] Citations: Scopus - 17Web of Science - 16 Tweet
2020	Mahbub P, Noori A, Parry JS, Davis J, Lucieer A, et al., 'Continuous and real-time indoor and outdoor methane sensing with portable optical sensor using rapidly pulsed IR LEDs', Talanta, 218 Article 121144. ISSN 0039-9140 (2020) [Refereed Article] DOI: 10.1016/j.talanta.2020.121144 [eCite] [Details] Citations: Scopus - 13Web of Science - 12 Co-authors: Mahbub P; Noori A; Parry JS; Davis J; Macka M Tweet
2020	Togeiro de Alckmin G, Kooistra L, Rawnsley R, de Bruin S, Lucieer A, 'Retrieval of hyperspectral information from multispectral data for perennial ryegrass biomass estimation', Sensors, 20, (24) Article 7192. ISSN 1424-8220 (2020) [Refereed Article] DOI: 10.3390/s20247192 [eCite] [Details] Citations: Scopus - 3Web of Science - 1 Co-authors: Togeiro de Alckmin G; Rawnsley R Tweet
2020	Togeiro de Alckmin G, Lucieer A, Roerink G, Rawnsley R, Hoving I, et al., 'Retrieval of crude protein in perennial ryegrass using spectral data at the canopy level', Remote Sensing, 12, (18) Article 2958. ISSN 2072-4292 (2020) [Refereed Article] DOI: 10.3390/rs12182958 [eCite] [Details] Citations: Web of Science - 3 Co-authors: Togeiro de Alckmin G; Rawnsley R Tweet
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: Turner D Tweet
2019	Cimoli E, Meiners KM, Lucieer A, Lucieer V, 'An under-ice hyperspectral and RGB imaging system to capture fine-scale biophysical properties of sea ice', Remote Sensing, 11, (23) Article 2860. ISSN 2072-4292 (2019) [Refereed Article] DOI: 10.3390/rs11232860 [eCite] [Details] Citations: Scopus - 11Web of Science - 11 Co-authors: Cimoli E; Meiners KM; Lucieer V Tweet
2019	Gautam D, Lucieer A, Watson C, McCoull C, 'Lever-arm and boresight correction, and field of view determination of a spectroradiometer mounted on an unmanned aircraft system', ISPRS Journal of Photogrammetry and Remote Sensing, 155, (September 2019) pp. 25-36. ISSN 0924-2716 (2019) [Refereed Article] DOI: 10.1016/j.isprsjprs.2019.06.016 [eCite] [Details] Citations: Scopus - 16Web of Science - 17 Co-authors: Gautam D; Watson C; McCoull C Tweet
2019	Iqbal IA, Musk RA, Osborn J, Stone C, Lucieer A, 'A comparison of area-based forest attributes derived from airborne laser scanner, small-format and medium-format digital aerial photography', International Journal of Applied Earth Observation and Geoinformation, 76 pp. 231-241. ISSN 0303-2434 (2019) [Refereed Article] DOI: 10.1016/j.jag.2018.12.002 [eCite] [Details] Citations: Scopus - 17Web of Science - 17 Co-authors: Iqbal IA; Osborn J Tweet
2019	Melville B, Fisher A, Lucieer A, 'Ultra-high spatial resolution fractional vegetation cover from unmanned aerial multispectral imagery', International Journal of Applied Earth Observation and Geoinformation, 78 pp. 14-24. ISSN 0303-2434 (2019) [Refereed Article] DOI: 10.1016/j.jag.2019.01.013 [eCite] [Details] Citations: Scopus - 27Web of Science - 24 Co-authors: Melville B Tweet
2019	Melville B, Lucieer A, Aryal J, 'Classification of lowland native grassland communities using hyperspectral Unmanned Aircraft System (UAS) Imagery in the Tasmanian midlands', Drones, 3, (1) Article 5. ISSN 2504-446X (2019) [Refereed Article] DOI: 10.3390/drones3010005 [eCite] [Details] Citations: Scopus - 24Web of Science - 23 Co-authors: Melville B; Aryal J Tweet
2019	Noori A, Mahbub P, Parry JS, Davis J, Lucieer A, et al., 'Portable device for continuous sensing with rapidly pulsed LEDs - Part1: rapid on-the-fly processing of large data streams using an open source microcontroller with field programmable gate array', Measurement, 146 pp. 749-757. ISSN 0263-2241 (2019) [Refereed Article] DOI: 10.1016/j.measurement.2019.05.034 [eCite] [Details] Citations: Scopus - 3Web of Science - 2 Co-authors: Noori A; Mahbub P; Parry JS; Davis J; Macka M Tweet
2019	Rajbhandari S, Aryal J, Osborn J, Lucieer A, Musk R, 'Leveraging machine learning to extend Ontology-Driven Geographic Object-Based Image Analysis (O-GEOBIA): a case study in forest-type mapping', Remote Sensing, 11, (5) Article 503. ISSN 2072-4292 (2019) [Refereed Article] DOI: 10.3390/rs11050503 [eCite] [Details] Citations: Scopus - 21Web of Science - 18 Co-authors: Rajbhandari S; Aryal J; Osborn J; Musk R Tweet
2019	Roodposhti MS, Aryal J, Lucieer A, Bryan BA, 'Uncertainty assessment of hyperspectral image classification: Deep learning vs. random forest', Entropy, 21, (1) Article 78. ISSN 1099-4300 (2019) [Refereed Article] DOI: 10.3390/e21010078 [eCite] [Details] Citations: Scopus - 25Web of Science - 22 Co-authors: Aryal J Tweet
2019	Roodposhti MS, Lucieer A, Anees A, Bryan BA, 'A robust rule-based ensemble framework using mean-shift segmentation for hyperspectral image classification', Remote Sensing, 11, (17) Article 2057. ISSN 2072-4292 (2019) [Refereed Article] DOI: 10.3390/rs11172057 [eCite] [Details] Citations: Scopus - 7Web of Science - 6 Co-authors: Anees A Tweet
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: Turner DJ; Malenovsky Z Tweet
2018	Aasen H, Honkavaara E, Lucieer A, Zarco-Tejada PJ, 'Quantitative remote sensing at ultra-high resolution with UAV spectroscopy: A review of sensor technology, measurement procedures, and data correctionworkflows', Remote Sensing, 10, (7) Article 1091. ISSN 2072-4292 (2018) [Refereed Article] DOI: 10.3390/rs10071091 [eCite] [Details] Citations: Scopus - 317Web of Science - 282 Tweet
2018	Gautam D, Watson C, Lucieer A, Malenovsky Z, 'Error budget for geolocation of spectroradiometer point observations from an Unmanned Aircraft System', Sensors, 18, (10) Article 3465. ISSN 1424-8220 (2018) [Refereed Article] DOI: 10.3390/s18103465 [eCite] [Details] Citations: Scopus - 9Web of Science - 8 Co-authors: Gautam D; Watson C; Malenovsky Z Tweet
2018	Iqbal F, Lucieer A, Barry K, 'Simplified radiometric calibration for UAS-mounted multispectral sensor', European Journal of Remote Sensing, 51, (1) pp. 301-313. ISSN 2279-7254 (2018) [Refereed Article] DOI: 10.1080/22797254.2018.1432293 [eCite] [Details] Citations: Scopus - 58Web of Science - 58 Co-authors: Barry K Tweet
2018	Iqbal F, Lucieer A, Barry K, 'Poppy crop capsule volume estimation using UAS remote sensing and random forest regression', International Journal of Applied Earth Observation and Geoinformation, 73 pp. 362-373. ISSN 0303-2434 (2018) [Refereed Article] DOI: 10.1016/j.jag.2018.06.008 [eCite] [Details] Citations: Scopus - 14Web of Science - 13 Co-authors: Barry K Tweet
2018	Iqbal IA, Osborn J, Stone C, Lucieer A, Dell M, et al., 'Evaluating the robustness of point clouds from small format aerial photography over a Pinus radiata plantation', Australian Forestry, 81, (3) pp. 162-176. ISSN 0004-9158 (2018) [Refereed Article] DOI: 10.1080/00049158.2018.1482799 [eCite] [Details] Citations: Scopus - 10Web of Science - 11 Co-authors: Iqbal IA; Osborn J; McCoull C Tweet
2018	Melville B, Lucieer A, Aryal J, 'Object-based random forest classification of Landsat ETM+ and WorldView-2 satellite imagery for mapping lowland native grassland communities in Tasmania, Australia', International Journal of Applied Earth Observation and Geoinformation, 66 pp. 46-55. ISSN 1569-8432 (2018) [Refereed Article] DOI: 10.1016/j.jag.2017.11.006 [eCite] [Details] Citations: Scopus - 41Web of Science - 33 Co-authors: Melville B; Aryal J Tweet
2018	Melville B, Lucieer A, Aryal J, 'Assessing the impact of spectral resolution on classification of lowland native grassland communities based on field spectroscopy in Tasmania, Australia', Remote Sensing, 10, (2) Article 308. ISSN 2072-4292 (2018) [Refereed Article] DOI: 10.3390/rs10020308 [eCite] [Details] Citations: Scopus - 12Web of Science - 13 Co-authors: Melville B; Aryal J Tweet
2018	Noori A, Mahbub P, Dvorak M, Lucieer A, Macka M, 'Radiometric analysis of UV to near infrared LEDs for optical sensing and radiometric measurements in photochemical systems', Sensors and Actuators B: Chemical, 262 pp. 171-179. ISSN 0925-4005 (2018) [Refereed Article] DOI: 10.1016/j.snb.2018.01.179 [eCite] [Details] Citations: Scopus - 15Web of Science - 16 Co-authors: Noori A; Mahbub P; Dvorak M; Macka M Tweet
2018	Staben GW, Lucieer A, Scarth P, 'Modelling LiDAR derived tree canopy height from Landsat TM, ETM plus and OLI satellite imagery - A machine learning approach', International Journal of Applied Earth Observation and Geoinformation, 73 pp. 666-681. ISSN 0303-2434 (2018) [Refereed Article] DOI: 10.1016/j.jag.2018.08.013 [eCite] [Details] Citations: Scopus - 25Web of Science - 24 Tweet
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: Turner D; Malenovsky Z Tweet
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: Turner D; Bowman DMJS Tweet
2017	Cimoli E, Lucieer A, Meiners KM, Lund-Hansen LC, Kennedy F, et al., 'Towards improved estimates of sea-ice algal biomass: experimental assessment of hyperspectral imaging cameras for under-ice studies', Annals of Glaciology, 58, (75 pt1) pp. 68-77. ISSN 0260-3055 (2017) [Refereed Article] DOI: 10.1017/aog.2017.6 [eCite] [Details] Citations: Scopus - 9Web of Science - 10 Co-authors: Cimoli E; Meiners KM; Kennedy F; Martin A; McMinn A; Lucieer V Tweet
2017	Gautam D, Lucieer A, Malenovsky Z, Watson C, 'Comparison of MEMS-based and FOG-based IMUs to determine sensor pose on an unmanned aircraft system', Journal of Surveying Engineering, 143, (4) Article 04017009. ISSN 0733-9453 (2017) [Refereed Article] DOI: 10.1061/(ASCE)SU.1943-5428.0000225 [eCite] [Details] Citations: Scopus - 12Web of Science - 11 Co-authors: Gautam D; Watson C Tweet
2017	Iqbal F, Lucieer A, Barry K, Wells R, 'Poppy crop height and capsule volume estimation from a single UAS flight', Remote Sensing, 9, (7) Article 647. ISSN 2072-4292 (2017) [Refereed Article] DOI: 10.3390/rs9070647 [eCite] [Details] Citations: Scopus - 33Web of Science - 30 Co-authors: Barry K; Wells R Tweet
2017	Malenovsky Z, Lucieer A, King DH, Turnbull JD, Robinson SA, 'Unmanned aircraft system advances health mapping of fragile polar vegetation', Methods in Ecology and Evolution, 8 pp. 1842-1857. ISSN 2041-210X (2017) [Refereed Article] DOI: 10.1111/2041-210X.12833 [eCite] [Details] Citations: Scopus - 57Web of Science - 55 Co-authors: Malenovsky Z Tweet
2017	McCabe MF, Rodell M, Alsdorf DE, Miralles DG, Uijlenhoet R, et al., 'The future of Earth observation in hydrology', Hydrology and Earth System Sciences, 21, (7) pp. 3879-3914. ISSN 1027-5606 (2017) [Refereed Article] DOI: 10.5194/hess-21-3879-2017 [eCite] [Details] Citations: Scopus - 268Web of Science - 252 Tweet
2017	Rajbhandari S, Aryal J, Osborn J, Musk R, Lucieer A, 'Benchmarking the applicability of ontology in geographic object-based image analysis', ISPRS International Journal of Geo-Information, 6 Article 386. ISSN 2220-9964 (2017) [Refereed Article] DOI: 10.3390/ijgi6120386 [eCite] [Details] Citations: Scopus - 15Web of Science - 13 Co-authors: Rajbhandari S; Aryal J; Osborn J Tweet
2016	Jaskierniak D, Kuczera G, Benyon RG, Lucieer A, 'Estimating tree and stand sapwood area in spatially heterogeneous southeastern Australian forests', Journal of Plant Ecology, 9, (3) pp. 272-284. ISSN 1752-9921 (2016) [Refereed Article] DOI: 10.1093/jpe/rtv056 [eCite] [Details] Citations: Scopus - 14Web of Science - 10 Tweet
2016	Staben GW, Lucieer A, Evans KG, Scarth P, Cook GD, 'Obtaining biophysical measurements of woody vegetation from high resolution digital aerial photography in tropical and arid environments: Northern Territory, Australia', International Journal of Applied Earth Observation and Geoinformation, 52 pp. 204-220. ISSN 0303-2434 (2016) [Refereed Article] DOI: 10.1016/j.jag.2016.06.011 [eCite] [Details] Citations: Scopus - 15Web of Science - 14 Tweet
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; Malenovsky Z; Turner D Tweet
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; Turner D; Cougnon E Tweet
2015	Bergstrom DM, Bricher PK, Raymond B, Terauds A, Doley D, et al., 'Rapid collapse of a sub-Antarctic alpine ecosystem: the role of climate and pathogens', Journal of Applied Ecology, 52, (3) pp. 774-783. ISSN 0021-8901 (2015) [Refereed Article] DOI: 10.1111/1365-2664.12436 [eCite] [Details] Citations: Scopus - 35Web of Science - 37 Co-authors: Bricher PK; Glen M; Mohammed C Tweet
2015	Harwin SJ, Lucieer A, Osborn J, 'The impact of the calibration method on the accuracy of point clouds derived using unmanned aerial vehicle multi-view stereopsis', Remote Sensing, 7, (9) pp. 11933-11953. ISSN 2072-4292 (2015) [Refereed Article] DOI: 10.3390/rs70911933 [eCite] [Details] Citations: Scopus - 140Web of Science - 123 Co-authors: Harwin SJ; Osborn J Tweet
2015	Malenovsky Z, Turnbull JD, Lucieer A, Robinson SA, 'Antarctic moss stress assessment based on chlorophyll content and leaf density retrieved from imaging spectroscopy data', New Phytologist, 208, (2) pp. 608-624. ISSN 1469-8137 (2015) [Refereed Article] DOI: 10.1111/nph.13524 [eCite] [Details] Citations: Scopus - 41Web of Science - 41 Co-authors: Malenovsky Z Tweet
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: Turner D Tweet
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: Turner DJ Tweet
2014	Lucieer A, Malenovsky Z, Veness T, Wallace L, 'HyperUAS - imaging spectroscopy from a multirotor unmanned aircraft system', Journal of Field Robotics, 31, (4) pp. 571-590. ISSN 1556-4959 (2014) [Refereed Article] DOI: 10.1002/rob.21508 [eCite] [Details] Citations: Scopus - 146Web of Science - 130 Co-authors: Malenovsky Z; Veness T; Wallace L Tweet
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: Turner D Tweet
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: Turner D Tweet
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: Turner D; Malenovsky Z Tweet
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: Turner D; Wallace L Tweet
2014	Wallace L, Lucieer A, Watson CS, 'Evaluating tree detection and segmentation routines on very high resolution UAV LiDAR data', IEEE Transactions on Geoscience and Remote Sensing, 52, (12) pp. 7619-7628. ISSN 0196-2892 (2014) [Refereed Article] DOI: 10.1109/TGRS.2014.2315649 [eCite] [Details] Citations: Scopus - 183Web of Science - 157 Co-authors: Wallace L; Watson CS Tweet
2014	Wallace L, Musk R, Lucieer A, 'An assessment of the repeatability of automatic forest inventory metrics derived from UAV-borne laser scanning data', IEEE Transactions on Geoscience and Remote Sensing, 52, (11) pp. 7160-7169. ISSN 0196-2892 (2014) [Refereed Article] DOI: 10.1109/TGRS.2014.2308208 [eCite] [Details] Citations: Scopus - 81Web of Science - 80 Co-authors: Wallace L Tweet
2014	Wallace L, Watson C, Lucieer A, 'Detecting pruning of individual stems using Airborne Laser Scanning data captured from an Unmanned Aerial Vehicle', International Journal of Applied Earth Observation and Geoinformation, 30 pp. 76-85. ISSN 0303-2434 (2014) [Refereed Article] DOI: 10.1016/j.jag.2014.01.010 [eCite] [Details] Citations: Scopus - 36Web of Science - 30 Co-authors: Wallace L; Watson C Tweet
2013	Bricher PK, Lucieer A, Shaw J, Terauds A, Bergstrom DM, 'Mapping sub-Antarctic cushion plants using random forests to combine very high resolution satellite imagery and terrain modelling', PLoS ONE, 8, (8) Article e72093. ISSN 1932-6203 (2013) [Refereed Article] DOI: 10.1371/journal.pone.0072093 [eCite] [Details] Citations: Scopus - 25Web of Science - 25 Co-authors: Bricher PK Tweet
2013	Cracknell MJ, Roach M, Green D, Lucieer A, 'Estimating bedding orientation from high-resolution digital elevation models', IEEE Transactions on Geoscience and Remote Sensing, 51, (5) pp. 2949-2959. ISSN 0196-2892 (2013) [Refereed Article] DOI: 10.1109/TGRS.2012.2217502 [eCite] [Details] Citations: Scopus - 14Web of Science - 14 Co-authors: Cracknell MJ; Roach M Tweet
2012	Dorigo W, Lucieer A, Podobnikar T, Carni A, 'Mapping invasive Fallopia japonica by combined spectral, spatial, and temporal analysis of digital orthophotos', International Journal of Applied Earth Observation and Geoinformation, 19, (1) pp. 185-195. ISSN 1569-8432 (2012) [Refereed Article] DOI: 10.1016/j.jag.2012.05.004 [eCite] [Details] Citations: Scopus - 75Web of Science - 74 Tweet
2012	Harwin S, Lucieer A, 'Assessing the Accuracy of Georeferenced Point Clouds Produced via Multi-View Stereopsis from Unmanned Aerial Vehicle (UAV) Imagery', Remote Sensing, 4, (6) pp. 1573-1599. ISSN 2072-4292 (2012) [Refereed Article] DOI: 10.3390/rs4061573 [eCite] [Details] Citations: Scopus - 490Web of Science - 427 Co-authors: Harwin S Tweet
2012	Kelcey J, Lucieer A, 'Sensor Correction of a 6-Band Multispectral Imaging Sensor for UAV Remote Sensing', Remote Sensing, 4, (5) pp. 1462-1493. ISSN 2072-4292 (2012) [Refereed Article] DOI: 10.3390/rs4051462 [eCite] [Details] Citations: Scopus - 187Web of Science - 160 Co-authors: Kelcey J Tweet
2012	Staben GW, Pfitzner K, Bartolo R, Lucieer A, 'Empirical line calibration of WorldView-2 satellite imagery to reflectance data: using quadratic prediction equations', Remote Sensing Letters, 3, (6) pp. 521-530. ISSN 2150-704X (2012) [Refereed Article] DOI: 10.1080/01431161.2011.609187 [eCite] [Details] Citations: Scopus - 19Web of Science - 19 Tweet
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: Turner D; Watson C Tweet
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; Watson C; Turner D Tweet
2011	Jaskierniak D, Lane PNJ, Robinson A, Lucieer A, 'Extracting LiDAR indices to characterise multilayered forest structure using mixture distribution functions', Remote Sensing of Environment, 115, (2) pp. 573-585. ISSN 0034-4257 (2011) [Refereed Article] DOI: 10.1016/j.rse.2010.10.003 [eCite] [Details] Citations: Scopus - 69Web of Science - 60 Co-authors: Jaskierniak D Tweet
2010	Atkinson D, Chladil M, Janssen V, Lucieer A, 'Implementation of quantitative bushfire risk analysis in a GIS environment', International Journal of Wildland Fire, 19, (5) pp. 649-658. ISSN 1049-8001 (2010) [Refereed Article] DOI: 10.1071/WF08185 [eCite] [Details] Citations: Scopus - 30Web of Science - 29 Co-authors: Atkinson D; Janssen V Tweet
2010	Lucieer A, Robinson S, Bergstrom D, 'Aerial 'OktoKopter' to map Antarctic moss', Australian Antarctic Magazine, 19 pp. 1-3. ISSN 1445-1735 (2010) [Professional, Non Refereed Article] [eCite] [Details]
2010	Murray H, Lucieer A, Williams RN, 'Texture-based classification of sub-Antarctic vegetation communities on Heard Island ', International Journal of Applied Earth Observation and Geoinformation, 12, (3) pp. 138-149. ISSN 1569-8432 (2010) [Refereed Article] DOI: 10.1016/j.jag.2010.01.006 [eCite] [Details] Citations: Scopus - 93Web of Science - 81 Co-authors: Williams RN Tweet
2010	Oldeland J, Dorigo W, Lieckfeld L, Lucieer A, Jurgens N, 'Combining vegetation indices, constrained ordination and fuzzy classification for mapping semi-natural vegetation units from hyperspectral imagery', Remote Sensing of Environment, 114, (6) pp. 1155-1166. ISSN 0034-4257 (2010) [Refereed Article] DOI: 10.1016/j.rse.2010.01.003 [eCite] [Details] Citations: Scopus - 79Web of Science - 72 Tweet
2010	Wang A, Wang S, Lucieer A, 'Segmentation of multispectral high-resolution satellite imagery based on integrated feature distributions', International Journal of Remote Sensing, 31, (6) pp. 1471-1483. ISSN 0143-1161 (2010) [Refereed Article] DOI: 10.1080/01431160903475308 [eCite] [Details] Citations: Scopus - 18Web of Science - 12 Tweet
2009	Bergstrom D, Lucieer A, Kiefer K, Wasley J, Belbin L, et al., 'Management implications of the Macquarie Island trophic cascade revisted: a reply to Dowding et al.(2009)', Journal of Applied Ecology, 46, (5) pp. 1133-1136. ISSN 0021-8901 (2009) [Refereed Article] DOI: 10.1111/j.1365-2664.2009.01708.x [eCite] [Details] Citations: Scopus - 13Web of Science - 14 Co-authors: Pedersen TK Tweet
2009	Bergstrom DM, Lucieer A, Kiefer K, Wasley J, Belbin L, et al., 'Indirect effects of invasive species removal devastate World Heritage Island', Journal of Applied Ecology, 46, (1) pp. 73-81. ISSN 0021-8901 (2009) [Refereed Article] DOI: 10.1111/j.1365-2664.2008.01601.x [eCite] [Details] Citations: Scopus - 303Web of Science - 273 Co-authors: Pedersen TK Tweet
2009	Lucieer A, 'Watching rabbits from space', Spatial Science, (Summer 2009) pp. 43-46. ISSN 1835-1735 (2009) [Professional, Non Refereed Article] [eCite] [Details]
2009	Lucieer A, Veen L, 'Interactive exploration of uncertainty in fuzzy classifications by isosurface visualization of class clusters', International Journal of Remote Sensing, 30, (18) pp. 4685-4705. ISSN 0143-1161 (2009) [Refereed Article] DOI: 10.1080/01431160802651942 [eCite] [Details] Citations: Scopus - 1Web of Science - 1 Tweet
2009	Lucieer VL, Lucieer A, 'Fuzzy Clustering for Seafloor Classification', Marine Geology, 264, (3-4) pp. 230-241. ISSN 0025-3227 (2009) [Refereed Article] DOI: 10.1016/j.margeo.2009.06.006 [eCite] [Details] Citations: Scopus - 56Web of Science - 54 Co-authors: Lucieer VL Tweet
2009	Yong G, Sanping L, Lakhan C, Lucieer A, 'Exploring uncertaintly in remotely sensed data with parallel coordinate plots', International Journal of Applied Earth Observation and Geoinformation, 11, (6) pp. 413-422. ISSN 1569-8432 (2009) [Refereed Article] DOI: 10.1016/j.jag.2009.08.004 [eCite] [Details] Citations: Scopus - 15Web of Science - 14 Tweet
2008	Bricher PK, Lucieer A, Woehler E, 'Population trends of Adelie penguin (Pygoscelis adeliae breeding colonies: a spatial analysis of the effects of snow accumulation and human activities', Polar Biology, 31, (11) pp. 1397-1407. ISSN 0722-4060 (2008) [Refereed Article] DOI: 10.1007/s00300-008-0479-z [eCite] [Details] Citations: Scopus - 28Web of Science - 26 Co-authors: Bricher PK; Woehler E Tweet
2007	Revill AT, Snape I, Lucieer A, Guille D, 'Constraints on transport and weathering of petroleum contamination at Casey Station, Antarctica', Cold Regions Science and Technology, 48, (2) pp. 154-167. ISSN 0165-232X (2007) [Refereed Article] DOI: 10.1016/j.coldregions.2007.01.001 [eCite] [Details] Citations: Scopus - 16Web of Science - 15 Tweet
2005	Lucieer A, Stein A, 'Texture-based landform segmentation of LiDAR imagery', International Journal of Applied Earth Observation and Geoinformation, 6, (3-4) pp. 261-270. ISSN 0303-2434 (2005) [Refereed Article] DOI: 10.1016/j.jag.2004.10.008 [eCite] [Details] Citations: Scopus - 52Web of Science - 42 Tweet
2005	Lucieer A, Stein A, Fisher P, 'Multivariate texture-based segmentation of remotely sensed imagery for extraction of objects and their uncertainty', International Journal of Remote Sensing, 26, (14) pp. 2917-2936. ISSN 0143-1161 (2005) [Refereed Article] DOI: 10.1080/01431160500057723 [eCite] [Details] Citations: Scopus - 95Web of Science - 79 Tweet
2004	Lucieer A, Kraak MJ, 'Interactive and visual fuzzy classification of remotely sensed imagery for exploration of uncertainty', International Journal of Geographical Information Science, 18, (5) pp. 491-512. ISSN 1365-8816 (2004) [Refereed Article] DOI: 10.1080/13658810410001658094 [eCite] [Details] Citations: Scopus - 35Web of Science - 26 Tweet
2002	Lucieer A, Stein A, 'Existential uncertainty of spatial objects segmented from satellite sensor Imagery', IEEE Transactions on Geoscience and Remote Sensing, 40, (11) pp. 2518-2521. ISSN 0196-2892 (2002) [Refereed Article] DOI: 10.1109/TGRS.2002.805072 [eCite] [Details] Citations: Scopus - 75Web of Science - 68 Tweet
2001	De Roo APJ, Odijk M, Schmuck G, Koster E, Lucieer A, 'Assessing the effects of land use on floods in the Meuse and Oder catchment', Physics and Chemistry of the Earth Part B: Hydrology, Oceans and Atmosphere, 26, (7-8) pp. 593-599. ISSN 1464-1909 (2001) [Refereed Article] DOI: 10.1016/S1464-1909(01)00054-5 [eCite] [Details] Citations: Scopus - 108Web of Science - 86 Tweet

Chapter in Book

(5 outputs)

Year	Citation	Altmetrics
2018	Rajbhandari S, Aryal J, Osborn J, Lucieer A, Musk R, 'Employing ontology to capture expert intelligence within GEOBIA: automation of the interpretation process', Remote Sensing and Cognition: Human Factors in Image Interpretation, Taylor and Francis Group, RA White, A Coltekin, RR Hoffman (ed), United States, pp. 151-175. ISBN 9781498781565 (2018) [Research Book Chapter] [eCite] [Details] Co-authors: Rajbhandari S; Aryal J; Osborn J Tweet
2007	Stein A, Gort G, Lucieer A, 'Use of the Bradley-Terry Model to Assess Uncertainty in an Error Matrix from a Hierarchical Segmentation of an ASTER image', Signal and Image Processing for Remote Sensing, Taylor and Francis, CH Chen (ed), London, pp. 591-605. ISBN 0-8493-5091-3 (2007) [Research Book Chapter] [eCite] [Details]
2004	Lucieer A, Fisher PF, Stein A, 'Texture-Based Segmentation of Remotely Sensed Imagery to Identify Fuzzy Coastal Objects', GeoDynamics, CRC Press, PM Atkinson, GM Foody, SE Darby and F Wu (ed), Boca Raton, pp. 87-102. ISBN 0-8493-2837-3 (2004) [Research Book Chapter] [eCite] [Details]
2004	Van der Werff HMA, Lucieer A, 'A Contextual Algorithm for Detection of Mineral Alteration Halos with Hyperspectral Remote Sensing', Remote Sensing Image Analysis: Including the Spatial Domain, Kluwer Academic Publishers, SM de Jong and FD van der Meer (ed), Dordrecht, The Netherlands, pp. 201-210. ISBN 1-4020-2559-9 (2004) [Research Book Chapter] [eCite] [Details]
2002	Zhan Q, Molenaar M, Lucieer A, 'Pixel Unmixing at the Sub-pixel Scale Based on Land Cover Class Probabilities: Application to Urban Areas', Uncertainty in Remote Sensing and GIS, John Wiley & Sons Ltd, GM Foody and PM Atkinson (ed), Chichester, England, pp. 59-76. ISBN 0-470-84408-6 (2002) [Research Book Chapter] [eCite] [Details]

Conference Publication

(50 outputs)

Year	Citation	Altmetrics
2019	Cimoli E, Meiners KM, Lucieer A, Lucieer V, 'An under-ice RGB and hyperspectral imaging system to capture fine scale bio-physical properties of land-fast sea ice', Abstracts from the Shedding Light on the Physical, Biogeochemical and Human Dimensions of Connectivity in Changing Polar Seas, 16-22 March 2019, Renaissance Tuscany Il Ciocco, Via Giovanni Pasco (2019) [Conference Extract] [eCite] [Details] Co-authors: Cimoli E; Meiners KM; Lucieer V
2018	Bendig J, Gautam D, Malenovsky Z, Lucieer A, 'Influence of cosine corrector and UAS platform dynamics on airborne spectral irradiance measurements', Proceedings of the 2018 IEEE International Symposium Geoscience and Remote Sensing, 22-27 July 2018, Valencia, Spain, pp. 8826-8829. ISBN 9781538671504 (2018) [Refereed Conference Paper] [eCite] [Details] Co-authors: Bendig J; Gautam D; Malenovsky Z Tweet
2018	Bendig J, Gautam D, Malenovsky Z, Lucieer A, 'Influence of cosine corrector and UAS platform dynamics on airborne spectral irradiance measurements', Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2018), 22-27 July 2018, Valencia, Spain, pp. 8822-8825. ISBN 978-1-5386-7150-4 (2018) [Refereed Conference Paper] DOI: 10.1109/IGARSS.2018.8518864 [eCite] [Details] Citations: Scopus - 22 Co-authors: Bendig J; Gautam D; Malenovsky Z Tweet
2018	Soja MJ, Baker SC, Jordan GJ, Lucieer A, Musk R, et al., 'Unveiling the complex structure of Tasmanian temperate forests with model-based Tandem-X tomography', Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2018), 22-27 July 2018, Valencia, Spain, pp. 383-386. ISBN 978-1-5386-7150-4 (2018) [Refereed Conference Paper] DOI: 10.1109/IGARSS.2018.8518350 [eCite] [Details] Citations: Scopus - 1 Co-authors: Soja MJ; Baker SC; Jordan GJ; White RJ Tweet
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: Turner D; Clarke I Tweet
2017	Cimoli E, Lucieer VL, Lund-Hansen LC, Lucieer A, Meiners K, et al., 'A new type of vision under the ice: Exploring the potential of hyperspectral imaging cameras and digital photogrammetry to monitor ice algal communities and its environmental drivers', New Zealand Antarctic Science Conference, 26-28 June 2017, Otago Museum Dunedin (2017) [Conference Extract] [eCite] [Details] Co-authors: Cimoli E; Lucieer VL; Meiners K; Kennedy F; Martin AR; McMinn A
2016	McCabe MF, Houborg R, Lucieer A, 'High-resolution sensing for precision agriculture: from Earth-observing satellites to unmanned aerial vehicles', Proceedings of SPIE 9998: Remote Sensing for Agriculture, Ecosystems, and Hydrology XVIII, 26-28 September 2016, Edinburgh, United Kingdom, Article 999811, pp. 1-10. ISBN 9781510604001 (2016) [Non Refereed Conference Paper] DOI: 10.1117/12.2241289 [eCite] [Details] Citations: Scopus - 15Web of Science - 12 Tweet
2014	Stannus S, Fu W-T, Lucieer A, 'Natural 7DoF input for 3D navigation', Proceedings of the 26th Australian Computer-Human Interaction Conference, OzCHI 2014, 2-5 December 2014, Sydney, Australia, pp. 216-219. ISBN 978-145030653-9 (2014) [Refereed Conference Paper] DOI: 10.1145/2686612.2686646 [eCite] [Details] Citations: Scopus - 2 Co-authors: Stannus S Tweet
2014	Stannus S, Lucieer A, Fu W-T, 'Natural 7DoF navigation and interaction in 3D geovisualisations', Proceedings of the 20th ACM Symposium on Virtual Reality Software and Technology, 11-13 November 2014, Edinburgh, Scotland, pp. 229-230. ISBN 978-1-4503-3253-8 (2014) [Conference Extract] DOI: 10.1145/2671015.2671131 [eCite] [Details] Citations: Scopus - 3 Co-authors: Stannus S Tweet
2013	Kelcey J, Lucieer A, 'An adaptive texture selection framework for ultra-high resolution UAV imagery', Proceedings of 2013 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 21-26 July 2013, Melbourne, Australia, pp. 3883-3886. ISBN 978-1-4799-1114-1 (2013) [Refereed Conference Paper] DOI: 10.1109/IGARSS.2013.6723680 [eCite] [Details] Citations: Scopus - 7Web of Science - 5 Co-authors: Kelcey J Tweet
2013	Lucieer A, 'Multi-sensor Unmanned Aircraft Systems (UAS) for environmental remote sensing', Workshop on UAV-based Remote Sensing Methods for Monitoring Vegetation, 9-10 September 2013, Cologne, Germany (2013) [Plenary Presentation] [eCite] [Details]
2013	Lucieer A, 'Recent advances in the developments of Unmanned Aircraft Systems (UAS) for environmental mapping and monitoring on UAV applications', Belgian Earth Observation Days 2013, 19-20 November 2013, Feluy, Belgium (2013) [Keynote Presentation] [eCite] [Details]
2012	Harwin S, Lucieer A, 'An accuracy assessment of georeferenced point clouds produced via multi-view stereo techniques applied to imagery acquired via unmanned aerial vehicle', International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume 39-B7, 25 August - 1 September 2012, Melbourne, Australia, pp. 475-480. (2012) [Non Refereed Conference Paper] DOI: 10.5194/isprsarchives-XXXIX-B7-475-2012 [eCite] [Details] Co-authors: Harwin S Tweet
2012	Kelcey J, Lucieer A, 'Sensor correction and radiometric calibration of a 6-band multispectral imaging sensor for UAV remote sensing', International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume 39-B1, 25 August - 1 September 2012, Melbourne, Australia, pp. 393-398. (2012) [Non Refereed Conference Paper] DOI: 10.5194/isprsarchives-XXXIX-B1-393-2012 [eCite] [Details] Co-authors: Kelcey J Tweet
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: Turner D; Harwin S; Kelcey J Tweet
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: Turner D; Harwin S; Kelcey J Tweet
2012	Panta SB, Doyle RB, Cotching W, Lefroy EC, Lucieer A, 'Quantifying the effects of land management interventions on water quality in the Coal River Catchment', Proceedings of the Joint Soil Science Australia and New Zealand Society of Soil Science Conference, 2-7 December 2012, Hobart, Tasmania, pp. 283. ISBN 978-0-646-59142-1 (2012) [Conference Extract] [eCite] [Details] Co-authors: Panta SB; Doyle RB; Cotching W; Lefroy EC
2012	Wallace LO, Lucieer A, Watson CS, 'Assessing the feasibility of UAV-based LiDAR for high resolution forest change detection', International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume 39-B7, 25 August - 1 September 2012, Melbourne, Australia, pp. 499-504. (2012) [Non Refereed Conference Paper] DOI: 10.5194/isprsarchives-XXXIX-B7-499-2012 [eCite] [Details] Co-authors: Wallace LO; Watson CS Tweet
2011	Lucieer A, 'Unmanned Aerial Vehicle (UAV) remote sensing for hyper-spatial terrain mapping of Antarctic moss beds', School of Geography & Environmental Studies Conference 2011, 28-29 June 2011, Hobart, pp. x-x. (2011) [Conference Extract] [eCite] [Details]
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] [eCite] [Details] Co-authors: Turner D Tweet
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] [eCite] [Details] Co-authors: Turner DJ
2011	Staben GW, Pfitzner K, Bartolo R, Lucieer A, 'Calibration of WorldView-2 satellite imagery to reflectance data using an empirical line method', Proceedings of the 34th International Symposium on Remote Sensing of Environment (ISRSE34), April 2011, Sydney, Australia (2011) [Non Refereed Conference Paper] [eCite] [Details]
2011	Stannus S, Rolf D, Lucieer A, Chinthammit W, 'Gestural navigation in Google Earth', Proceedings of the 23rd Australian Computer-Human Interaction Conference (OzCHI 2011), 28 Nov - 2 Dec 2011, Canberra, Australia, pp. 258-261. (2011) [Refereed Conference Paper] DOI: 10.1145/2071536.2071580 [eCite] [Details] Co-authors: Stannus S; Rolf D; Chinthammit W Tweet
2011	Steer AD, Watson CS, Lieser JL, Lucieer A, 'Optimising airborne LiDAR surveys in the Antarctic pack ice zone', Paper presented at IUGG General Assembly, Session C01S3, 28 June - 7 July, Melbourne, Australia. (2011) [Conference Extract] [eCite] [Details] Co-authors: Steer AD; Watson CS; Lieser JL
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] [eCite] [Details] Co-authors: Turner DJ; 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] [eCite] [Details] Co-authors: Wallace L; Turner D; Watson C Tweet
2010	Lucieer A, 'Using an Unmanned Aerial Vehicle (UAV) for ultra-high resolution mapping of Antarctic moss beds', School of Geography & Environmental Studies Conference Abstracts 2010, 28 June 2010, Sandy Bay (2010) [Conference Extract] [eCite] [Details]
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] [eCite] [Details] Co-authors: Turner DJ
2009	Lucieer A, 'Surface to Satellites: studying changing ecosystems on sub-Antarctic islands', School of Geography and Environmental Studies Conference Program 2009, July 2009, Hobart, pp. 3-3. (2009) [Conference Extract] [eCite] [Details]
2008	Bricher PK, Lucieer A, Bergstrom DM, Kirkpatrick JB, 'A rapid sampling method for vegetation terrain modelling and satellite image classification', Institute of Australian Geographers Conference 2008: Abstracts, June - July, Hobart, Tasmania, pp. 18-18. (2008) [Conference Extract] [eCite] [Details] Co-authors: Bricher PK; Kirkpatrick JB
2008	Bridle K, Green D, Fitzgerald M, McQuillan P, Smith Janet A, et al., 'Results from the BiGG project (Biodiversity in Grain & Graze)', Proceedings of VegFutures, October 2008, Toowoomba, Australia (2008) [Conference Extract] [eCite] [Details] Co-authors: Bridle K; Green D; Fitzgerald M; McQuillan P; Smith Janet A; Pedersen TK; Lacey MJ; Mount RE; Lefroy EC
2008	Debba P, Stein A, van der Meer FD, Carranza EJM, Lucieer A, 'Field sampling from a segmented image', Computational Science and Its Applications (ICCSA) 2008 Proceedings, Part I, 30 June - 3 July 2008, Perugia, Italy, pp. 756-768. ISBN 978-3-540-69838-8 (2008) [Refereed Conference Paper] [eCite] [Details]
2008	Lucieer A, 'Mapping grazed vegetation communities on Macquarie Island using a binary ensemble classifier', School of Geography and Environmental Studies Conference Program 2008, October 2008, Hobart, pp. 13-13. (2008) [Conference Extract] [eCite] [Details]
2008	Lucieer A, 'Mapping Grazed Vegetation Communities on Macquarie Island using a Binary Ensemble Classifier', Proceedings of the 14 Australasian Remote Sensing and Photogrammetry Conference Incorporating NARGIS 08, September-October, Darwin, NT, pp. 1-11. ISBN 1111111111 (2008) [Non Refereed Conference Paper] [eCite] [Details]
2008	Lucieer A, Robinson S, Scott JJ, 'Satellite imagery for change detection in the sub-Antarctic: Using Heard Island as a proof of concept', Institute of Australian Geographers Conference 2008: Abstracts, June - July, Hobart, Tasmania, pp. 106-106. (2008) [Conference Extract] [eCite] [Details] Co-authors: Scott JJ
2007	Atkinson D, Janssen V, Lucieer A, Chladil M, 'Bushfire risk assessment - an integrated approach using GIS', Proceedings of the Spatial Science Institute Biennial International Conference (SSC2007), Hobart, Tasmania Australia, 14-18 May 2007, 14-18 May 2007, Hobart, Tasmania, pp. 1093-1093. ISBN 978-0-9581366-6-2 (2007) [Conference Extract] [eCite] [Details] Co-authors: Atkinson D; Janssen V
2007	Bricher PK, Lucieer A, Woehler E, 'Population Trends of Adelie Penguin (Pygoscelis adeliae) Breeding Colonies: the Effects of Snow Accumulation and Human Activities', Proceedings of the Spatial Science Institute Biennial International Conference (SSC2007), Hobart, Tasmania Australia, 14-18 May 2007, May, Hobart, Tasmania, pp. 1094-1094. ISBN 978-0-9581366-6-2 (2007) [Conference Extract] [eCite] [Details] Co-authors: Bricher PK; Woehler E
2007	Lucieer A, 'Macquarie under siege: how widespread is the grazing damage in Tasmania's sub-Antarctic World Heritage', School of Geography and Environmental Studies Conference Program 2007, October, Hobart, pp. 13-13. (2007) [Conference Extract] [eCite] [Details]
2007	Lucieer A, 'Visualization of Hyperplanes for SVM classification', IEEE International Geoscience and Remote Sensing Symposium IGARSS Barcelona 2007 Advance Program, July, Barcelona, Spain, pp. 2034-2035. ISBN 9781424412112 (2007) [Non Refereed Conference Paper] DOI: 10.1109/IGARSS.2007.4423230 [eCite] [Details] Citations: Scopus - 2Web of Science - 1 Tweet
2007	Lucieer A, van der Werff H, 'Wavelet Texture Features for Improved Classification of Quickbird Imagery', Proceedings of the Spatial Science Institute Biennial International Conference (SSC2007), Hobart, Tasmania Australia, 14-18 May 2007, May, Hobart, Tasmania, pp. 961-962. ISBN 978-0-9581366-6-2 (2007) [Conference Extract] [eCite] [Details]
2007	Lucieer A, van der Werff HMA, 'Panchromatic wavelet texture features fused with multispectral bands for improved classification of high-resolution satellite imagery', IEEE International Geoscience and Remote Sensing Symposium IGARSS Barcelona 2007 Advance Program, July, Barcelona, Spain, pp. 5154-5157. ISBN 9781424412112 (2007) [Non Refereed Conference Paper] DOI: 10.1109/IGARSS.2007.4424022 [eCite] [Details] Citations: Scopus - 3 Tweet
2007	Welch SJ, Lucieer A, Williams RN, 'Interactive Visualisation Techniques for Data Mining of Satellite Imagery', Proceedings of the Spatial Science Institute Biennial International Conference (SSC2007), Hobart, Tasmania Australia, 14-18 May 2007, May, Hobart, Tasmania, pp. 413-422. ISBN 978-0-9581366-6-2 (2007) [Refereed Conference Paper] [eCite] [Details] Co-authors: Welch SJ; Williams RN
2006	Lucieer A, 'Classification of Subantarctic Vegetation on Heard Island based on High-Resolution Satellite Imagery', SCAR XXIX / COMNAP XVIII Hobart Australia: Abstract Volume, July, Hobart, Tasmania EJ (2006) [Conference Extract] [eCite] [Details]
2006	Lucieer A, 'Fuzzy classification of sub-Antarctic vegetation on Heard Island based on high-resolution satellite imagery', IEEE International Geoscience and Remote Sensing Symposium (IGARSS '06), July - August, Denver, Colorado, pp. 2777-2780. ISBN 0-78-03-9510-7 (2006) [Non Refereed Conference Paper] [eCite] [Details]
2006	Lucieer A, 'Visualization for exploration of uncertainty related to fuzzy classification', IEEE International Geoscience and Remote Sensing Symposium (IGARSS '06), July - August, Denver, Colorado, pp. 903-906. ISBN 0-78-03-9510-7 (2006) [Non Refereed Conference Paper] [eCite] [Details]
2006	Quilty PG, Croaker M, Falloon TJ, Lewis S, Lucieer A, 'Heard Island and the McDonald Islands - Outstanding Questions', SCAR XXIX / COMNAP XVIII Hobart Australia: Abstract Volume, July, Hobart, Tasmania EJ (2006) [Conference Extract] [eCite] [Details] Co-authors: Quilty PG; Croaker M; Falloon TJ
2005	Lucieer A, 'Remote sensing for mapping and monitoring vegetation on Heard Island', School of Geography and Environmental Studies 2005 Seminars, October, 2005, Hobart, pp. 6-6. (2005) [Conference Extract] [eCite] [Details]
2004	Lucieer A, Kraak MJ, 'a-shapes for visualizing irregular shaped class clusters in 3D feature space for classification of remotely sensed imagery', Visualization and Data Analysis 2004, January 19-10, 2004, San Jose, California, pp. 201-211. ISBN 0-8194-5198-3 (2004) [Refereed Conference Paper] [eCite] [Details]
2003	Lucieer A, Fisher PF, Stein A, 'Texture-based Segmentation of High-Resolution Remotely Sensed Imagery for Identification of Fuzzy Objects', Proceedings of GeoComputation 2003, September 8-10, 2003, Southhampton, UK EJ (2003) [Refereed Conference Paper] [eCite] [Details]
2002	Lucieer A, Kraak MJ, 'Interactive Visualization of a Fuzzy Classification of Remotely Sensed Imagery using Dynamically Linked Views to Explore Uncertainty', Accuracy 2002: 5th International Symposium on Spatial Accuracy Assessment in the Natural Resources and Environmental Sciences, July 10-11, 2002, Melbourne, pp. 348-356. ISBN 0-7340-2212-3 (2002) [Non Refereed Conference Paper] [eCite] [Details]

Contract Report, Consultant's Report

(13 outputs)

Year	Citation	Altmetrics
2018	Watt MS, Stone C, Bryson M, Chinthammit W, Dash JP, et al., 'Optimizing remotely acquired, dense point cloud data for plantation inventory. M Watt, C Stone (eds)', Forest and Wood Products Australia, Melbourne, Australia, PNC377-1516 (2018) [Contract Report] [eCite] [Details] Co-authors: Chinthammit W; Harwin S; Krisanski S; McCoull C; Osborn J; Pishchugin A; Taskhiri M; Turner P
2017	Osborn J, Dell M, Stone C, Iqbal I, Lacey M, et al., 'Photogrammetry for Forest Inventory: Planning Guidelines', Forest and Wood Products Australia, Australia, PNC326-1314 (2017) [Contract Report] [eCite] [Details] Co-authors: Osborn J; Dell M; Iqbal I; Lacey M; McCoull CJ
2017	Stone C, Osborn J, Caccamo G, Melville G, Bryson M, et al., 'Deployment and integration of cost-effective high resolution remotely sensed data for the Australian forest industry, Stone, C and Osborn, J (eds)', Forest and Wood Products Australia, Melbourne, Australia, ISBN 978-1-925213-66-9, PNC326-1314 (2017) [Contract Report] [eCite] [Details] Co-authors: Osborn J; Iqbal I; McCoull C; Lacey M; Dell M; Chinthammit W
2014	Wallace LO, Osborn JE, Lucieer A, 'A synthesis of remote sensing tools to measure and monitor forest structure and carbon storage', Greening Australia (2014) [Contract Report] [eCite] [Details] Co-authors: Wallace LO; Osborn JE
2012	Lacey MJ, Lucieer A, 'Tasmanian Forest Agreement Verification: Indicative assessment using currently available remotely sensed imagery of forest disturbance in the areas proposed to be reserved under the Intergovernmental Forest Agreement', Independant Verification Group (2012) [Contract Report] [eCite] [Details] Co-authors: Lacey MJ
2012	Lucieer A, Kelcey J, 'Lagoon of Islands remote sensing vegetation mapping project', Hydro Tasmania (2012) [Contract Report] [eCite] [Details] Co-authors: Kelcey J
2009	Lucieer A, Harris U, Bender A, 'Australian Antarctic Division Remote Sensing Heard Island Project 2008/2009 Milestone 2: Maps of the coastline, human footprint, glacial extent, lagoons 15 January 2009', Australian Antarctic Division, 2 (2009) [Consultants Report] [eCite] [Details]
2009	Lucieer A, Harris U, Bender A, 'Australian Antarctic Division Remote Sensing Heard Island Project 2008/2009 Milestone 3: Classification and change detection of vegetation. 10 March 2009', Australian Antarctic Division, 3 (2009) [Consultants Report] [eCite] [Details]
2009	Lucieer A, Harris U, Bender A, 'Australian Antarctic Division Remote Sensing Heard Island Project 2008/2009 Milestone 4: Final Report. 30 June 2009', Australian Antarctic Division, 3 (2009) [Consultants Report] [eCite] [Details]
2008	Mount RE, Lucieer A, Pedersen TK, Lacey MJ, Benjamin J, 'Biodiversity in Grain & Graze Spatial Analysis Project Final Report', Centre for Environment for the Grain and Graze Program (2008) [Contract Report] [eCite] [Details] Co-authors: Mount RE; Pedersen TK; Lacey MJ; Benjamin J
2007	Lucieer A, 'Pansharpening and geometric rectification Quickbird imagery 2006 Heard Island', Australian Antarctic Data Centre (2007) [Consultants Report] [eCite] [Details]
2007	Lucieer A, Mount RE, Lacey MJ, Pedersen TK, 'Biodiversity in Grain & Graze: Spatial Analysis Sub-project Milestone 3 Report Terrain analysis and preliminary findings, Spatial (landscape ecology) metrics interim results, and Data collation update', Centre for Environment, Milestone 3 Report (2007) [Contract Report] [eCite] [Details] Co-authors: Mount RE; Lacey MJ; Pedersen TK
2007	Lucieer A, Mount RE, Lacey MJ, Pedersen TK, 'Biodiversity in Grain & Graze: Spatial Analysis Sub-project Milestone 4 Report Terrain analysis results, Spatial (landscape ecology) metrics results, and Data collation update', Centre for Environment, Milestone 4 Report (2007) [Contract Report] [eCite] [Details] Co-authors: Mount RE; Lacey MJ; Pedersen TK

Thesis

(1 outputs)

Year	Citation	Altmetrics
2004	Lucieer A, 'Uncertainties in Segmentation and their Visualisation' (2004) [PhD] [eCite] [Details]

Other Public Output

(3 outputs)

Year	Citation	Altmetrics
2009	McIvor E, Lucieer A, Harris U, Bender A, 'Monitoring Heard Island Remotely', Australian Antarctic Division Magazine, Australian Antarctic Division, Australian Government, Hobart Tasmania, 2009, 16 (2009) [Magazine Article] [eCite] [Details]
2008	Bridle K, Lefroy EC, McQuillan PB, Fitzgerald M, Green D, et al., 'The National Banksia Environmental Awards 2008', Land and Biodiversity Category awarded to BiGG - Biodiversity in Grain & Graze (2008) [Award] [eCite] [Details] Co-authors: Bridle K; Lefroy EC; McQuillan PB; Fitzgerald M; Green D; Smith J; Mount RE; Lacey MJ; Pedersen TK
2006	Lucieer A, Walsh A, 'Mammal Browsing Plantation Hotspot Analysis', Forestry Tasmania, Hobart (2006) [Report of Restricted Access] [eCite] [Details]

Year

Citation

Altmetrics

2009

McIvor E, Lucieer A, Harris U, Bender A, 'Monitoring Heard Island Remotely', Australian Antarctic Division Magazine, Australian Antarctic Division, Australian Government, Hobart Tasmania, 2009, 16 (2009) [Magazine Article]

[eCite] [Details]

2008

Bridle K, Lefroy EC, McQuillan PB, Fitzgerald M, Green D, et al., 'The National Banksia Environmental Awards 2008', Land and Biodiversity Category awarded to BiGG - Biodiversity in Grain & Graze (2008) [Award]

[eCite] [Details]

Co-authors: Bridle K; Lefroy EC; McQuillan PB; Fitzgerald M; Green D; Smith J; Mount RE; Lacey MJ; Pedersen TK

2006

Lucieer A, Walsh A, 'Mammal Browsing Plantation Hotspot Analysis', Forestry Tasmania, Hobart (2006) [Report of Restricted Access]

[eCite] [Details]

Grants & Funding

While balancing a significant teaching load, Arko has secured over $2.5M in funding through collaborative and independently led research grants and consultancies. These grants include two ARC Discovery projects, one ARC Linkage, and four Australian Antarctic Science projects (Cat-1 grants). In addition, he has secured several consultancy and contract research projects.

Funding Summary

Number of grants

Total funding

$13,983,960

Projects

A NATURAL HAZARDS ATLAS FOR TASMANIA: MAPPING NATURAL HAZARDS TO BUILD DISASTER RESILIENCE AND PREPAREDNESS (2024 - 2026)$2,247,890

Description: The proposed project will incorporate a spatial-analytical approach leveraging the expertise within the School of Geography, Planning and Spatial Sciences (GPSS) and the embedded Climate Futures Research Group at the University of Tasmania. Climate Futures recently completed a Natural Hazards Atlas, focusing on Heatwaves and Bushfires to support decision making and climate-resilient planning in Tasmania. Version 1.0 of the Natural Hazards Atlas provides extensive technical information on these two types of extreme events. The fine-scaled climate information that underpins this document is accessible within the Tasmanian Governments TheList, making it usable in hard-copy and digital forms. The atlas supports prioritisation of future strategic investments to increase resilience to these current and emerging natural hazards. Building on multidisciplinary expertise within GPSS, this proposal extends natural hazards mapping to produce a new Natural Hazards Atlas for Tasmanian Communities, intended to better inform Tasmanians and enable local hazard preparedness. As well as providing new and extended technical information, this proposal has a large communication and translation component, to ensure crucial hazards information reaches more Tasmanian decision makers. To provide multi-sector perspectives, the proposed project team will create a delivery approach that will build on existing partnerships as well as establish new partnerships, and it will incorporate experts from other organisations, including the Bureau of Meteorology, CSIRO, local government and regional NRM agencies.Project deliverables include: 1)Stakeholder consultation/needs analysis; 2)Hazards analysis and modelling; 3)Translation/Communication (products may include interactive web mapping tool; mobile app); and 4)Capacity building.
Funding: National Emergency Management Agency ($2,247,890)
Scheme: Grant-Disaster Ready Fund
Administered By: University of Tasmania
Research Team: Beyer K; Allen KJ; Mocatta G; Love PT; Earl-Jones NO; Boulter SL; Booth KI; Lucieer A
Period: 2024 - 2026

NatureScan: Harnessing Drone Remote Sensing and AI for Comprehensive Biodiversity Monitoring (2024 - 2025)$1,207,038

Description: This project will develop drone remote sensing techniques for national-scale biodiversity monitoring contributing accurate baseline information and detailed spatio-temporal data to inform the Governments Nature Positive Plan and Nature Repair Market. The first stage of the project will develop protocols for low-cost drones to collect and process RGB and multispectral imagery specific to ecosystem and biodiversity monitoring. This stage of the project will focus on data collection over a range of ecosystems in Australia and development of appropriate protocols (including flight planning and sensor settings) to enable consistent data collection, and processing protocols go derive analysis-ready datasets from raw imagery. The second phase will involve the use of AI to identify component of biodiversity in the imagery, including ecosystem composition, structure, and function. AI tools will be developed and tested, including efficient labelling/annotation of features of interest and training of AI algorithms such as R-CNN and others. The third phase of the project will involve field validation of the generated biodiversity data layers based on ecological expertise and field observations. The fourth and final phase of the project involves training and knowledge transfer of/to land holder, including aboriginal land managers.
Funding: Department of Climate Change, Energy, the Environment and Water ($1,207,038)
Scheme: Grant - Innovative Biodiversity Monitoring Grants
Administered By: University of Tasmania
Research Team: Lucieer A; Sparrow B
Period: 2024 - 2025

TERN Dronescape 2024 - ecosystem mapping with drone remote sensing (2024)$950,000

Description: This project Is part of the NCRIS-funded Terrestrial Ecosystem Research Network (TERN). This sub-project will establish a dedicated field team at UTAS to collect drone remote sensing data over a wide range of Australian ecosystems. The project funding will allow us to establish a team of two staff, including drone, sensor, travel, and safety equipment for operational and scientific drone data collection during 2024. Drone remote sensing facilitates ecosystem observations at the plant/tree scale at centimetre image resolution over areas of 2 20 hectares, enabling upscaling of on-ground field information to airborne and satellite data. It enables the creation of unique ultrahigh-resolution data products that will provide new insights into ecosystem function and dynamics. Investment in future drone infrastructure will allow us to enhance a national capability that builds onto earlier experimental work and will operationalise drone data collection across the country in a systematic and standardised manner. In doing so, drone data will allow more frequent monitoring of our plot network, which will facilitate change detection across a wide range of ecosystems and will allow change thresholds to be identified that will trigger repeated detailed field observations. In addition, high-level vegetation and structural data products derived from drone-based image and lidar data will significantly improve our ability to calibrate and validate national satellite products. There is an increasing need for robust and accurate Cal/Val datasets with the launch of new satellite missions that will focus on observation of structure (biomass) and ecological processes (productivity). TERN has an important and leading role to play in making drone data widely available to the national and international ecosystem science and earth observation communities.
Funding: National Collaborative Research Infrastructure Strategy ($950,000)
Scheme: Grant
Administered By: University of Adelaide
Research Team: Sparrow B; Lucieer A
Year: 2024

THE GIANTS - documentary (2022)$9,077

Description: The aim of the project is to produce a documentary about the importance of native old growth forest, featuring the Tarkine and the history of the Green Party around Bob Brown. TerraLuma is tasked to collect 3Dpoint clouds of three different old growth in Tasmania from terrestrial and drone-based laser scanning. The data is collected to be animated to provide a different/new viewing experience of forests for the viewer.
Funding: General Strike ($9,077)
Scheme: Contract Research
Administered By: University of Tasmania
Research Team: Lucieer A
Year: 2022

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

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

Life on the edge advancing health assessment of Antarctic plant communities (2020 - 2022)$505,000

Description: Biodiversity changes as a result of a drying climate have been observed in some ice-free areas of East Antarctica and this project aims to determine if such changes are widespread. Since mosses, the dominant plants of Antarctica, preserve a record of past climate down their shoots they can be used as proxies to study how climate is changing at remote polar sites that lack long instrument records. Outcomes will include improved climate data for Antarctica, enabling more robust analysis of regional climate change, and development of novel remote sensing techniques capable of non-destructively monitoring Antarctic ecosystem health. This will provide managers with new tools to satisfy Australia's obligations to protect Antarctic biodiversity.
Funding: Australian Research Council ($505,000)
Scheme: Grant-Discovery Projects
Administered By: University of Wollongong
Research Team: Robinson SA; Lucieer A
Period: 2020 - 2022
Grant Reference: DP200100223

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

TERN Landscapes UAS instruments and platforms (2019)$65,000

Description: The Unmanned Aircraft System (UAS, also known as UAV or drones) sector in Australia and globally 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 UAS 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 work package builds on TERN's previous investment in defining scientifically-relevant processes for UAS-based data collection and management. UASs contribute to calibration and validation 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. UASs 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 UAS requirements.
Funding: CSIRO-Commonwealth Scientific & Industrial Research Organisation ($65,000)
Scheme: Contract Research
Administered By: University of Tasmania
Research Team: Lucieer A; Bendig J
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

Proof of Concept (Sony) (2018)$98,733

Description: Under Non-Disclosure Agreement
Funding: Sony Imaging Products and Solutions Inc ($98,733)
Scheme: Consultancy
Administered By: University of Tasmania
Research Team: Boersma M; Harwin SJ; Lucieer A; McPhee JE
Year: 2018

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

Ultrahigh-resolution remote sensing for assessing biodiversity hotspots (2018 - 2020)$402,607

Funding: Australian Research Council ($402,607)
Scheme: Grant-Discovery Projects
Administered By: University of Tasmania
Research Team: Lucieer A; Phinn S; Schmidt S; Johansen K; Coops N
Period: 2018 - 2020
Grant Reference: DP180103460

Sensor calibration facility for spectral and thermal remote sensing (2018)$224,450

Description: New miniature sensors on-board airborne and underwater drones are revolutionising the way in which we collectinformation about the environment. Sensor calibration and characterisation is critical to the accuracy of hyperspectral and thermal data products, however, there is no central facility in Australia for this purpose. The aim of the project is to establish a calibration facility for the radiometric and spectral correction of hyperspectral and thermal sensors for ultrahigh-resolution remote sensing. The expected benefit to the Australian and international remote sening community is to significantly advance our capacity to collect high quality data and enable accuratemonitoring of our dynamic environments in unprecedented detail.
Funding: Australian Research Council ($159,450)
Collaborators: Airborne Research South Australia Limited ($10,000); Monash University ($15,000); Queensland University of Technology ($15,000); University of Queensland ($15,000); University of Wollongong ($10,000)
Scheme: Grant-Linkage Infrastructure
Administered By: University of Tasmania
Research Team: Lucieer A; Lucieer VL; Malenovsky Z; Gonzalez LF; Roberts JM; Rudiger C; Robinson SA; Phinn S; McGrath AJ
Year: 2018
Grant Reference: LE180100118

Solutions for the optimal use of remotely acquired, high resolution data by the forestry sector (2018 - 2020)$1,000,000

Description: Rapidly advancing remote sensors on UAV, airborne and satellite platforms are providing high-fidelity data in terms of spatial, spectral and temporal resolution. A national team of remote sensing specialists, data scientists and forest industry service providers will ensure the delivery of multiple task specifications and procedures for the operational implementation of these technologies by the forestry sector.
Funding: FWPA - National Institute for Forest Products Innovation ($500,000)
Scheme: Grant-Research
Administered By: University of South Australia
Research Team: Stone C; Lucieer A; Turner P; Taskhiri M
Period: 2018 - 2020

Advancing Antarctic science with a new High Altitude Platform capability (2018 - 2021)$709,250

Funding: Australian Research Council ($549,500)
Collaborators: Astigan Limited ($50,000); Australian Antarctic Division ($14,000); Ordnance Survey Limited ($95,750)
Scheme: Grant-Linkage Projects
Administered By: University of Tasmania
Research Team: Lucieer A; Fraser AD; McMahon C
Period: 2018 - 2021
Grant Reference: LP170101090

Remotely sensed forest water use in space and time (2017 - 2020)$450,000

Description: Ensuring Australia's water security is critically dependent on understanding how changes in forests due to disturbance and climate change influence catchment water yields. In partnership with Melbourne Water, this project aims to develop and apply new methods to scale forest water use from plot to catchment-level using relationships between plot-level annual evapotranspiration and stand biophysical and biochemical properties detectable using unmanned aircraft systems and other remote sensing platforms. These methods will be used to estimate water yields over time and space in ungauged catchments with disturbed eucalypt forests.
Funding: Australian Research Council ($450,000)
Scheme: Grant-Linkage Projects Round 1
Administered By: University of Newcastle
Research Team: Kuczera G; Lane P; Haydon S; Lucieer A
Period: 2017 - 2020
Grant Reference: LP160100597

Optimizing remotely acquired, dense point cloud data for plantation inventory (2017 - 2018)$240,728

Description: Significant progress has been made in the operational adoption of remotely acquired data, in particular LiDAR data, by plantation growers both in Australia and in New Zealand for the assessment and monitoring of plantations. Two FWPA funded projects; PNC305-1213 (completed) and PNC326-1314 (due for completion June 2017) have driven this paradigm shift in company awareness and their decision to integrate this innovative technology into their yield regulation systems. This project will bring together internationally recognised expertise in remote sensing, LiDAR, UAV technologies and robotics science at SCION, Rotorua; the Australian Centre for Field Robotics at the University of Sydney; the TerraLuma research group at the University of Tasmania; Interpine and Indufor Asia Pacific Ltd. The overall aim of this project is to optimise the extraction and processing of meaningful information from these dense point cloud datasets acquired from both airborne and UAV platforms.
Funding: Forest & Wood Products Australia Limited ($75,000)
Collaborators: Indufor Asia Pacific Limited ($9,288); Interpine Group Limited ($46,440); University of Sydney ($110,000)
Scheme: Grant-Research and Development
Administered By: Scion New Zealand Forest Research Institute Limited
Research Team: Lucieer A; Osborn JE; Watt M; Stone C
Period: 2017 - 2018

Unmanned aerial vehicles for enhanced monitoring: the future of precision agriculture (2016 - 2018)$72,354

Description: The aim of this proposal is to exploit advances in unmanned aerial vehicles (UAVs), spectral synergies across optical to thermal infrared observations, and a coupled water-energy-carbon modeling framework to deliver plant-scale water use and metrics of crop health for a new-era of precision agriculture. Currently, even basic information on within-field variability of water and nutrient status is unavailable at the farm scale on a routine basis, limiting the capacity to optimize irrigation scheduling, fertilizer application and crop production. While satellite data can be used to provide periodic sensing of agricultural systems, the spatial and temporal resolution are generally inadequate to facilitate effective crop management. Even where data is available, it is either prohibitively expensive or requires advanced processing, limiting its utility to the end-user. We contend that the future of agricultural sensing lies in exploiting game-changing developments in UAVs. Recent technological leaps in UAVs and miniaturized sensors provide a capacity to autonomously collect information at unprecedented spatial resolution on demand. Unfortunately, while the technology has developed rapidly, the science required to exploit these advances has lagged, providing an opportunity to shape this nascent field. One of the outstanding scientific challenges lies in translating UAV based spectral observations into crop-based metrics useful for agricultural management and decision support. Using maps of UAV retrieved leaf chlorophyll and carotenoids as independent measures of plant health, our proposal will integrate these plant traits into an augmented water, carbon and energy cycle modeling framework, delivering enhanced predictions of distributed crop water use, reflecting within-field nutrient variability. Our project is positioned at the cusp of a new era in Earth observation and environmental monitoring. To realize the potential of UAVs for precision agriculture will require significant developments in our understanding of plant-water interactions, modeling of crop water use, and integration of remotely sensed data into redesigned model systems. Apart from addressing fundamental science in the translation of plant spectral response to physiological traits, our goal oriented project will also increase the participation of students and women, with two highly qualified female scholars already identified for roles as a post-doctoral scientist and a PhD student.
Funding: king Abdullah University of Science and technology ($72,354)
Scheme: Contract Research
Administered By: University of Tasmania
Research Team: Lucieer A
Period: 2016 - 2018

AusCover Tasmania Node (2016 - 2018)$85,000

Description: This project will extend an existing TERN AusCover project (RMDB 3600), which coordination of the Tasmanian node for this national project.The aim of the AusCover project is to produce national satellite image products, to calibrate and validate these products through field plots, and tomake these data and field protocols publically available. For more information, see www.auscover.org.auLucieer was approached by Dr Alex Held (CSIRO), director of the TERN AusCover project, in 2014/15 to setup a node in Tasmania. All other Statesalready have AusCover nodes, so this is a great opportunity for The University of Tasmania to become involved to represent Tasmania in this importantnational project. Lucieer's role will be to act as a coordinator for AusCover activities in Tasmania. Lucieer will be responsible for leading unmannedaircraft system(UAS) activities within AusCover. In addition, Lucieer will be responsible for organising and hosting a conference on the use of UASremote sensing for ecosystems science.
Funding: CSIRO-Commonwealth Scientific & Industrial Research Organisation ($85,000)
Scheme: Contract Research
Administered By: University of Tasmania
Research Team: Lucieer A; Cox B
Period: 2016 - 2018

DPI UAV LiDAR (2015 - 2016)$59,959

Description: The aim of this project is to develop an Unmanned Aircraft System (UAS) based on a multi-rotor helicopter equipped with a laser scanner for generation of ultra-high resolution point clouds of inventory plots in P. radiate plantations. The goal is to estimate the tree height and stem diameter at 1.3 m, in addition to enabling 3D visual assessment of stem quality (sweep, double headers, size of the branches) from UAS-acquired 3D point clouds. This requires ultra-high resolution point clouds (>100 points per m2) that are geometrically accurate. This study aims to test the feasibility of UAV-based LiDAR for plot measurements.
Funding: Department of Primary Industries NSW ($59,959)
Scheme: Contract Research
Administered By: University of Tasmania
Research Team: Lucieer A
Period: 2015 - 2016

Reassessment of intertidal macroalgal communities near to and distant from salmon farms and an evaluation of using drones to survey macroalgal distribution (2015 - 2016)$67,165

Description: This project is a reassessment of intertidal macroalgal communities near to and distant from salmon farms and an evaluation of using drones to survey macroalgal distribution.
Funding: Fisheries Research & Development Corporation ($67,165)
Scheme: Grant
Administered By: University of Tasmania
Research Team: Crawford C; Lucieer A
Period: 2015 - 2016

Towards a large-scale Antarctic Nearshore and Terrestrial Observing System (ANTOS): Scaling and optimising unmanned airborne observations of moss ecosystems (2015 - 2017)$147,091

Description: The general aim of this project is to take first steps towards a large-scale operational Antarctic terrestrial monitoring system, by analysing the existing ground and unmanned airborne observations of moss ecosystems collected in the vicinity of the Australian Antarctic station Casey. Particularly, we will determine the optimal and the minimal necessary spectral, spatial, and temporal remote sensing requirements to address regional-to-global questions about dynamic physiological development of moss ecosystems, indicating the actual Antarctic coastal climate changes.
Funding: Department of Environment and Energy (Cwth) ($147,091)
Scheme: Grant-Australian Antarctic Science
Administered By: University of Tasmania
Research Team: Lucieer A; Malenovsky Z
Period: 2015 - 2017

Mobile Autonomous Platforms: An Unmanned Aerial Vehicle and an Autonomous Boat for environmental sensing (2014 - 2016)$76,798

Funding: Association Vale Technological Institute ($76,798)
Scheme: Contract Research
Administered By: University of Tasmania
Research Team: Lucieer A; Hartmann K; Allen GR
Period: 2014 - 2016

AusCover Facility (2014 - 2017)$83,054

Description: Extended by 4194.
Funding: CSIRO-Commonwealth Scientific & Industrial Research Organisation ($83,054)
Scheme: Contract Research
Administered By: University of Tasmania
Research Team: Lucieer A
Period: 2014 - 2017

A new integrated approach for ecologically sustainable forest management (2014 - 2017)$650,933

Funding: Australian Research Council ($410,933)
Collaborators: Forestry Tasmania ($120,000); VicForests ($120,000)
Scheme: Grant-Linkage Projects Round 1
Administered By: University of Tasmania
Research Team: Jordan GJ; Burridge CP; Lucieer A; Charleston M; Vesk P; Wardlaw TJ; McBride T; Spies TA
Period: 2014 - 2017
Grant Reference: LP140100075

airLIFT - an airborne active chlorophyll fluorescence sensing system for assessment of photosynthetic activity in plant (2014 - 2016)$520,000

Funding: Australian Research Council ($520,000)
Scheme: Grant-Discovery Projects
Administered By: University of Wollongong
Research Team: Robinson SA; Lucieer A; Furbank R; Jimenez-Berni J; Kolber Z; Gastellu-Etchegorry J-P
Period: 2014 - 2016
Grant Reference: DP140101488

Thermal infrared image sensing from Unmanned Aircraft Systems (UAS) for precision viticulture (2014)$6,000

Description: This project will initiate development and application of a new tool for remote infrared imaging that will help make precision viticulture more accessible, attractive and easier to adopt. A thermal infrared imaging sensor (FLIR Photon 320) deployed on Unmanned Aircraft Systems (UAS, also known as UAVs or drones) will be used to capture raw data and produce a high-resolution map of absolute crop temperatures for a vineyard block at specific times of the day and/or critical stages during the growing season. The various steps in this workflow have previously been identified, including sensor lens and radiometric calibration, and in-situ data collection at the time of thermal image acquisition. The maps produced will be calibrated and validated with field observations.
Funding: Wine Australia ($6,000)
Scheme: Grant-Honours Support
Administered By: University of Tasmania
Research Team: Lucieer A; Evans KJ
Year: 2014

Deployment and integration of cost-effective, high spatial resolution, remotely sensed data for the Australian forestry industry (2014 - 2017)$494,000

Description: This project will provide data workflow and analytical solutions required for the operational deployment of high spatial resolution data acquired by UAV's and light aircraft into the resource information systems managed by the Australian plantation and native forests growers.
Funding: Forest & Wood Products Australia Limited ($494,000)
Scheme: Grant-Research and Development
Administered By: Department of Primary Industries NSW
Research Team: Osborn JE; Lucieer A; Stone C; Chinthammit W
Period: 2014 - 2017

Design of communication gateways for micro-sensing devices deployable on insects (2014 - 2016)$109,083

Description: This project will focus on exploring, designing and implementing communication solutions for micro-sensing devices, considering tight energy budgets. The possible communication solutions could include radio-frequency identification (RFIOs), radio in the VHF range, light (laser, LEOs), as well as high-GHz to THz range waves (Mom2011 ), (f\br2003]. To increase the effective communication reach of these devices, mobile receivers will be deployed on aerial robots (drones). Furthermore, the drones could acquire additional data along the insect's flight path, like local temperature, lighting, and (multispectral) imaging data. The key Fundamental Science questions are: (1) How accurately can micro-sensing devices be tracked in the field? (2) Is it possible to efficiently build an ad-hoc network of micro-sensing devices? What are the real benefits of this approach of sensor-sensor communication? (3) How to deal with loss of sensors and/or data gaps over time? Miniaturised electronics has enabled a number of applications such as tracking and tagging to emerge. However, sensing at the sub-mm scale has not been become possible mainly because of energy and communication constraints. The significance of this project lies in: (1) deploying not only a couple, but dozens of RFIDs in a swarm of insects to gain understanding of their behaviour; (2) designing communication solutions for sub-mm sensing devices advancing further than current commercially available alternatives; (3) exploring sensor-sensor communication in a sub-mm sensor network. This research project will deliver unprecedented data on both insect behaviour and on microclimate and, furthermore, on their relationships.
Funding: CSIRO-Commonwealth Scientific & Industrial Research Organisation ($109,083)
Scheme: Grant-Flagship Project [Unsolicited]
Administered By: University of Tasmania
Research Team: de Souza Junior P; Ollington RB; Allen GR; Lucieer A
Period: 2014 - 2016

Modelling spatial patterns and identifying environmental drivers for temporal change in Antarctic moss communities (2013 - 2015)$157,000

Funding: Department of Environment and Energy (Cwth) ($157,000)
Scheme: Grant-Australian Antarctic Science
Administered By: Department of Environment and Energy (Cwth)
Research Team: Lucieer A; Robinson SA
Period: 2013 - 2015

UAV-g 2013 (unmanned aerial vehicles for geomatic applications) (2013)$2,300

Funding: University of Tasmania ($2,300)
Scheme: Grant-Conference Support Scheme
Administered By: University of Tasmania
Research Team: Lucieer A
Year: 2013

Tasmanian Forest Agreement Independent Verification Group - Remote Sensing Image Analysis Phase 1 (2012)$33,141

Funding: Professor Jonathan West ($33,141)
Scheme: Consultancy
Administered By: University of Tasmania
Research Team: Lucieer A; Lacey MJ
Year: 2012

TerraLuma Unmanned Aerial Vehicles (UAVs) for mine, quarry and stockpile surveys (2012)$2,705

Funding: Lester Franks & Company Pty Ltd ($2,705)
Scheme: Contract Research
Administered By: University of Tasmania
Research Team: Lucieer A; Turner D; Harwin SJ
Year: 2012

Development and Application of a Novel Unmanned Aerial Vehicle (UAV) for Hyperspectral Remote Sensing of Crops and Natural Ecosystems (2012)$51,000

Funding: Science and Industry Endowment Fund ($51,000)
Scheme: Scholarship-John Stocker Postgraduate
Administered By: University of Tasmania
Research Team: Lucieer A; Veness A
Year: 2012

Lagoon of Islands Vegetation Mapping Project (2011 - 2012)$16,660

Funding: Hydro Electric Corporation ($16,660)
Scheme: Contract Research
Administered By: University of Tasmania
Research Team: Lucieer A
Period: 2011 - 2012

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

Mapping Antarctic climate change in space and time using mosses as biological proxies (2011 - 2013)$690,000

Funding: Australian Research Council ($690,000)
Scheme: Grant-Discovery Projects
Administered By: University of Wollongong
Research Team: Robinson SA; Keller PA; Lucieer A
Period: 2011 - 2013
Grant Reference: DP110101714

Understanding Energy Flow Through Ecosystems: an Ant-centric Approach to Ecosystem Health and Productivity (2011)$15,430

Funding: University of Tasmania ($15,430)
Scheme: Grant-Cross Theme
Administered By: University of Tasmania
Research Team: Nicol SC; McQuillan PB; Hovenden MJ; Lucieer A
Year: 2011

15th Australasian Remote Sensing and Photogrammetry Conference - Alice Springs, AUS - 2010 (2010)$1,000

Funding: University of Tasmania ($1,000)
Scheme: Grant-Conference Support Scheme
Administered By: University of Tasmania
Research Team: Lucieer A
Year: 2010

Spatial Analysis of Changing Terrestrial Ecosystems in the Windmill Islands and the Sub-Antarctic (2009 - 2011)$79,268

Funding: Department of Environment and Energy (Cwth) ($79,268)
Scheme: Grant-Australian Antarctic Science
Administered By: University of Tasmania
Research Team: Lucieer A; Bricher PK; Lieser JL
Period: 2009 - 2011

Surface to Satellites: Protecting Biodiversity on Macquarie Island (2009)$65,000

Funding: Winifred Violet Scott Charitable Trust ($65,000)
Scheme: Grant
Administered By: University of Tasmania
Research Team: Lucieer A
Year: 2009

Remote Sensing of Heard Island and McDonald Islands (2008 - 2009)$42,265

Funding: Australian Antarctic Division ($42,265)
Scheme: Contract Research
Administered By: University of Tasmania
Research Team: Lucieer A
Period: 2008 - 2009

Understanding The Impact of Change on Australia's World Heritage Subantarctic Islands (2008)$0

Funding: Department of Environment and Energy (Cwth) ($0)
Scheme: Grant-Australian Antarctic Science
Administered By: University of Tasmania
Research Team: Bergstrom D; Bricher PK; Chown S; Hull B; Kiefer K; Lucieer A; Scott JJ; Selkirk P
Year: 2008

The 14th Australasian Remote Sensing and Photogrammetry Conference in Darwin (2008)$990

Funding: University of Tasmania ($990)
Scheme: Grant-Conference Support Scheme
Administered By: University of Tasmania
Research Team: Lucieer A
Year: 2008

Monitoring Environmental Changes on Macquarie Island Using Satellite Imagery (2007)$12,500

Funding: University of Tasmania ($12,500)
Scheme: Grant-Institutional Research Scheme
Administered By: University of Tasmania
Research Team: Lucieer A
Year: 2007

Satellite Imagery for Change Detection in the sub-Antarctic using Heard Island as a Proof of Concept (2007 - 2011)$118,372

Funding: Department of Environment and Energy (Cwth) ($118,372)
Scheme: Grant-Australian Antarctic Science
Administered By: University of Tasmania
Research Team: Lucieer A; Scott JJ
Period: 2007 - 2011

Biodiversity in Grain and Graze: Spatial Analysis Sub-Project (2006 - 2008)$84,000

Funding: Centre for Environment ($84,000)
Scheme: Consultancy
Administered By: University of Tasmania
Research Team: Lucieer A; Mount RE
Period: 2006 - 2008

Modelling and Visualising Uncertainty in Remotely Sensed Image Classification and Change Detection: Mapping and Monitoring Vegetation on Heard Island (2006 - 2007)$0

Funding: Department of Environment and Energy (Cwth) ($0)
Scheme: Grant-Australian Antarctic Science
Administered By: University of Tasmania
Research Team: Lucieer A
Period: 2006 - 2007

Modelling and Mapping Near-shore Fast Ice Distributions and Dynamics: A Spatial Perspective (2006)$0

Funding: Department of Environment and Energy (Cwth) ($0)
Scheme: Grant-Australian Antarctic Science
Administered By: University of Tasmania
Research Team: Lucieer A
Year: 2006

Satellite Image Classification for Mapping Vegetation on Macquarie Island (2006)$6,750

Funding: University of Tasmania ($6,750)
Scheme: Grant-Institutional Research Scheme
Administered By: University of Tasmania
Research Team: Lucieer A
Year: 2006

Biodiversity in Grain and Graze: Spatial Analysis, Soil and Invertebrate sub-project (2006 - 2008)$184,000

Funding: Land and Water Australia ($184,000)
Scheme: Grant-Commissioned Research
Administered By: University of Tasmania
Research Team: Lefroy EC; Lucieer A; Mount RE; McQuillan PB; Bridle K; Line MA
Period: 2006 - 2008

Professional guidance with spatial analysis of plantation mammal browsing risk assessment (2005)$4,280

Funding: Forestry Tasmania ($4,280)
Scheme: Consultancy
Administered By: University of Tasmania
Research Team: Lucieer A
Year: 2005

Identifying and Modelling Hydrological Processes within a Wet Eucalypt Forested Catchment on Jurassic Dolerite Soils - Dominik Jaskierniak (2005)$2,000

Funding: Forestry Tasmania ($2,000)
Scheme: Grant
Administered By: University of Tasmania
Research Team: Lucieer A
Year: 2005

Research Supervision

Arko has supervised the following students to successful completion:

5 PhD research dissertations (2 recently submitted, 5 as primary supervisor)
5 Masters by research dissertations (all as primary supervisor)
11 Masters coursework theses (10 as primary supervisor)
23 Honours degrees (18 as primary supervisor)
Total: 46 (38 as primary supervisor

He has established a group of PhD students working on inter-related research on UAS-based remote sensing. He welcomes enquiries or applications from students who are interested in pursuing a graduate research degree. Applicant must have strong quantitative skills, preferably with substantial experience in remote sensing or UAS technology. Applicants must have a strong track record (Australia/NZ: 1st class honours; international: MSc and/or international journal publication in English and very good overall English). He also welcomes applications for short-term visits for collaborative research.

Current

Completed

Current

Degree	Title	Commenced
PhD	Bridging the Scale Gap: Drone-based lidar for assessing functional forest diversity	2019
PhD	New Methodologies for Visual and Thermal Unmanned Aerial System (UAS) Assessments of Tasmanian Offshore Seabird and Mammal Populations	2019
PhD	Investigating Geographical Granularity in Predicting Energy Access using Satellite Imagery	2020
PhD	Modelling Outdoor Thermal Stress at Human Scales	2021
PhD	Advancing Hyperspectral Imaging from a Drone for Ecosystem Monitoring	2021
PhD	Improved Monitoring of Ecosystem Resilience using High-resolution Remote Sensing	2022

Completed

Degree	Title	Completed
PhD	Quantitative Remote Sensing of Vegetation Functional Traits and Disturbance Dynamics in Australian Eucalypt Forest Candidate: Krishna Lamsal	2024
PhD	Proximal Remote Sensing of Seafloor Communities with Underwater Imaging Techniques Candidate: Juan Carlos Montes Herrera	2023
PhD	From Field to Airborne Spectroscopy Advancing spectral data analytics for accurate retrieval of perennial ryegrass biomass and feed quality Candidate: Gustavo Togeiro de Alckmin	2021
PhD	Development of Remote Sensing Products to Investigate the Impact of Tropical Cyclones on Natural Vegetation Communities in the Wet-dry Tropics of Northern Australia Candidate: Grant William Staben	2021
PhD	Bridging the Divide between Remote Sensing and Forest Ecological Restoration: Applications for effectiveness monitoring Candidate: Nicolo Camarretta	2021
PhD	Development of Hyperspectral and RGB Imaging Systems for Under-ice Mapping of Fine Scale Sea-ice Biophysical Properties Candidate: Emiliano Cimoli	2020
PhD	Vegetation Change on Subantarctic Macquarie Island Candidate: Nicholas Blane Fitzgerald	2020
PhD	Evaluating Photogrammetric Point Clouds for Forest Inventory Candidate: Irfan Akhtar Iqbal	2019
PhD	Methodological Framework for Ontology-driven Geographic Object-Based Image Analysis (O-GEOBIA) Candidate: Sachit Rajbhandari	2019
PhD	Mapping Species Composition and Structure in Wet Eucalypt Forest using Multi-source Remote Sensing Data Candidate: Bechu Kumar Vinwar Yadav	2019
PhD	Uncertainty: Types and applications in spatial predictive models Candidate: Majid Shadman Roodposhti	2019
PhD	Towards Improved Insect Monitoring Systems Using UHF RFID and Other Passive Asymmetric Digital Radio Technologies Candidate: Pascal Hirsch	2019
PhD	Direct Georeferencing and Footprint Characterisation of a Non-Imaging Spectroradiometer Mounted on an Unmanned Aircraft System Candidate: Deepak Gautam	2019
PhD	Utilising Unmanned Aerial System (UAS) for Precision Agriculture and Yield Estimation of Tasmanian Poppy Candidate: Faheem Iqbal	2018
PhD	Radiometric Analysis of LEDs and the Use of Rapidly Pulsed Infrared LEDs for Portable Sensing of Gases Candidate: Ansara Noori	2018
PhD	Geospatially Enabled Modelling of Values and Decisions in Agro-ecological Landscapes Candidate: Juwairia Mahboob	2017
PhD	Object-Based Remotely Sensed Image Classification for Identification of Lowland Native Grassland Communities in the Tasmanian Midlands Candidate: Bethany Melville	2017
PhD	Land Use and Carbon Dynamics in Woody Ecosystems Candidate: Christopher Dean	2016
PhD	Towards High Resolution Estimates of East Antarctic Pack Ice Thickness Candidate: Adam Daniel Steer	2016
PhD	Dynamics of Tasmanian Terrestrial Vegetation (Conservation Ecology and Physical Geography) - Historical and Environmental Determinants of Eucalyptus Obliqua and E Candidate: Jayne Maria Balmer	2016
PhD	Natural Gestural Interaction for Geovisualisation Candidate: Simon Francis Stannus	2015
PhD	Multi-View Stereopsis (MVS) from an Unmanned Aerial Vehicle (UAV) for Natural Landform Mapping Candidate: Stephen John Harwin	2015
PhD	Using Bayesian Belief Networks to Model Urban Bird Macroecology Candidate: Lawrence Edwin Conole	2015
PhD	Multi-sensor, multi-temporal, and ultra-high resolution environmental remote sensing from UAVs Candidate: Darren James Turner	2015
PhD	Object-Based Image Analysis of Ultra-High Resolution Imagery Acquired over a Saltmarsh Environment by and Unmanned Aircraft System (UAS) Candidate: Joshua Michael Kelcey	2014
PhD	The Development and Application of a Unmanned Aerial Vehicle Laser Scanning System for Forest Management Candidate: Luke Oliver Wallace	2014
PhD	Methods for Mapping the Tundra Vegetation of Sub-Antarctic Macquarie Island Candidate: Phillippa Kate Bricher	2012
PhD	The Potential Role of Cessation of Logging in Reducing Emissions from Deforestation and Degredation in Papua New Guinea Candidate: Jane Elizabeth Bryan	2012
Masters	Tracking Fishermen: Using GIS to Characterise Spatial Distribution of Fishing Effort in the Tasmanian Abalone Fishery Candidate: Katherine Lesley Tattersall	2011
PhD	Modelling the Effects of Forest Regeneration on Streamflow Using Forest Growth Models Candidate: Dominik Jaskierniak	2011
Masters	Quantifying the Effects of Land Management Interventions on Water Quality in the Coal River Catchment Candidate: Suresh Babu Panta	2011