Stefan Peters

Teaching Strengths

Exceptional student satisfaction
Research-led teaching with industry application
25 years of international academic expertise
Specialist in advanced GIS & Remote Sensing
Innovative use of immersive virtual environments

Dr Stefan Peters

Senior Lecturer

School of Physics, Chemistry and Earth Sciences

College of Sciences

I am an internationally recognized Geospatial Scientist, interdisciplinary researcher, passionate educator, and dedicated mentor. My expertise lies at the interface of Remote Sensing, Geographic Information Systems (GIS), Forestry, and Ecology. My academic background spans Geodesy, Remote Sensing, GIS, and Cartography. Before joining the University of South Australia (UniSA) in 2016, I served as a Senior Lecturer in the Department of Geoinformation at Universiti Teknologi Malaysia. I hold a Dipl.-Ing. degree in Geodesy and Geoinformation, as well as a Ph.D. in Cartography, both from the Technical University of Munich, Germany. During my time there, I played a pivotal role in establishing and coordinating the joint international M.Sc. program in Cartography. Prior to my academic career, I worked as a Cadastre-Information System technician for the Bavarian State Agency for Surveying and Geoinformation in Germany.
With over 25 years of academic experience in Geospatial Science, and a specialisation in Remote Sensing and Geospatial Data Analysis & Visualization, my work spans a diverse range of interdisciplinary projects, including agriculture, forestry, archaeology, geology, atmospheric and climate studies, land cover and land use, cadastre, and urban modeling. My primary goal is to transform complex geographic data into meaningful insights and actionable evidence through advanced spatio-temporal analysis, enabling informed decision-making.
I am particularly passionate about converting intricate geographic data into intuitive and impactful digital maps. My projects are often cross-institutional and inherently interdisciplinary, reflecting my commitment to fostering collaboration and innovation across diverse domains.
See my personal website (https://www.projectlive.org.au/stefan-peters) to explore more about my teaching and research activities and interests.

My research is driven by a commitment to transforming complex geospatial data into actionable environmental insights. I specialize in the application of Remote Sensing and GIS to solve critical challenges in wildfire mitigation, precision forestry, and biodiversity conservation. My work is characterized by high impact and strong industry collaboration, particularly through the SmartSat CRC and Forest and Wood Products Australia (FWPA).

  • Key Expertise: My core research fields include Physical Geography and Environmental Geoscience (6 major journal articles), Environmental Science and Management, and Multidisciplinary Geospatial Analysis.
  • Interdisciplinary Focus: I lead projects that integrate on-board AI for CubeSats with real-time earth observation, as well as developing LiDAR-based models for sustainable forestry and urban habitat connectivity.

Year Citation
2025 Fitzgerald, D. L., Peters, S., Hurren, A., & Keppel, G. (2025). Vegetation assessment using remote sensing: a systematic review for eucalypts in Australia. Austral Ecology, 50(4, article no. 70061), 1-18.
DOI Scopus3 WoS3
2024 Meng, L., O'Hehir, J., Gao, J., Peters, S., & Hay, A. (2024). A theoretical framework for improved fire suppression by linking management models with smart early fire detection and suppression technologies. Journal of Forestry Research, 35(1, article no. 86), 1-13.
DOI Scopus9 WoS4
2024 Andualem, T. G., Hewa, G. A., Myers, B. R., Boland, J., & Peters, S. (2024). Predicting Suspended Sediment Transport in Urbanised Streams: A Case Study of Dry Creek, South Australia. Hydrology, 11(11), 16 pages.
DOI Scopus3 WoS2
2024 Andualem, T. G., Peters, S., Hewa, G. A., Myers, B. R., Boland, J., & Pezzaniti, D. (2024). Channel morphological change monitoring using high-resolution LiDAR-derived DEM and multi-temporal imageries. Science of the Total Environment, 921(171104), 15 pages.
DOI Scopus17 WoS13 Europe PMC1
2024 Andualem, T. G., Hewa, G. A., Boland, J., Peters, S., & Myers, B. R. (2024). Multi-Method Comparative Analysis of Hydroclimatic Trends and Variability in Dry Creek Catchment, South Australia. Earth Systems and Environment, 8(4), 1751-1776.
DOI Scopus10 WoS10
2024 Zhao, L., Liu, J., Peters, S., Li, J., Mueller, N., & Oliver, S. (2024). Cross-sensor transfer learning for fire smoke scene detection using variable-bands multi-spectral satellite imagery aided by spectral patterns. International Journal of Remote Sensing, 45(10), 3332-3348.
DOI Scopus2 WoS2
2024 Lu, S., Jones, E., Zhao, L., Sun, Y., Qin, K., Liu, J., . . . Peters, S. (2024). Onboard AI for Fire Smoke Detection Using Hyperspectral Imagery: An Emulation for the Upcoming Kanyini Hyperscout-2 Mission. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 17, 9629-9640.
DOI Scopus15 WoS11
2024 Liu, J., Li, J., Peters, S., & Zhao, L. (2024). A transformer boosted UNet for smoke segmentation in complex backgrounds in multispectral LandSat imagery. Remote Sensing Applications Society and Environment, 36(101283), 101283.
DOI Scopus5 WoS4
2024 Zhao, L., Liu, J., Peters, S., Li, J., Mueller, N., & Oliver, S. (2024). Learning class-specific spectral patterns to improve deep learning-based scene-level fire smoke detection from multi-spectral satellite imagery. Remote Sensing Applications Society and Environment, 34(101152), 101152.
DOI Scopus16 WoS12
2024 Peters, S., Liu, J., Keppel, G., Wendleder, A., & Xu, P. (2024). Detecting Coseismic Landslides in GEE Using Machine Learning Algorithms on Combined Optical and Radar Imagery. Remote Sensing, 16(10), 1722.
DOI Scopus14 WoS11
2023 Keppel, G., Sarnow, U., Biffin, E., Peters, S., Fitzgerald, D., Boutsalis, E., . . . Guerin, G. R. (2023). Population decline in a Pleistocene refugium: Stepwise, drought-related dieback of a South Australian eucalypt. Science of The Total Environment, 876(162697), 162697.
DOI Scopus14 WoS13 Europe PMC4
2023 Guerin, G. R., Keppel, G., Peters, S., & Hurren, A. (2023). Dieback of stringybark eucalypt forests in the Mount Lofty Ranges. Transactions of the Royal Society of South Australia, 147(1), 17-38.
DOI Scopus8 WoS8
2023 Fitzgerald, D. L., Peters, S., Guerin, G. R., McGrath, A., & Keppel, G. (2023). Quantifying Dieback in a Vulnerable Population of Eucalyptus macrorhyncha Using Remote Sensing. LAND, 12(7), 19 pages.
DOI Scopus6 WoS6
2023 Finn, A., Peters, S., Kumar, P., & O'Hehir, J. (2023). Automated georectification, mosaicking and 3D point cloud generation using UAV-based hyperspectral imagery observed by line scanner imaging sensors. Remote Sensing, 15(18), 1-23.
DOI Scopus7 WoS2
2023 Andualem, T. G., Peters, S., Hewa, G. A., Boland, J., & Myers, B. R. (2023). Spatiotemporal trends of urban-induced land use and land cover change and implications on catchment surface imperviousness. Applied Water Science, 13(12), 16 pages.
DOI Scopus19 WoS14
2023 Andualem, T. G., Hewa, G. A., Myers, B. R., Peters, S., & Boland, J. (2023). Erosion and Sediment Transport Modeling: A Systematic Review. Land, 12(7), 20 pages.
DOI Scopus61 WoS53
2022 Lowe, C., Keppel, G., Waqa, K., Peters, S., Fisher, R. N., Scanlon, A., . . . Thomas Moko, N. (2022). Fijian sea krait behavior relates to fine-scale environmental heterogeneity in old-growth coastal forest: the importance of integrated land-sea management for protecting amphibious animals. Ecology and Evolution, 12(4, article no. e8817), 1-12.
DOI Scopus1 WoS1 Europe PMC2
2022 Gore, J., Peters, S., & Weber, D. (2022). A participatory trail web map based on open source technologies. International Journal of Cartography, 8(2), 223-242.
DOI Scopus1 WoS1
2022 Keppel, G., Peters, S., Taoi, J., Raituku, N., & Thomas Moko, N. (2022). The threat by the invasive African tulip tree, Spathodea campanulata P.Beauv., for the critically endangered Fijian tree, Pterocymbium oceanicum A.C.Sm.; revisiting an assessment based on expert knowledge after extensive field surveys. Pacific Conservation Biology, 28(2), 164-173.
DOI Scopus10 WoS8
2022 Finn, A., Kumar, P., Peters, S., & O'Hehir, J. (2022). Unsupervised spectral-spatial processing of drone imagery for identification of pine seedlings. ISPRS Journal of Photogrammetry and Remote Sensing, 183, 363-388.
DOI Scopus17 WoS17
2022 Zhao, L., Liu, J., Peters, S., Li, J., Oliver, S., & Mueller, N. (2022). Investigating the Impact of Using IR Bands on Early Fire Smoke Detection from Landsat Imagery with a Lightweight CNN Model. Remote Sensing, 14(13), 24 pages.
DOI Scopus42 WoS32
2021 Peters, S., Liu, J., Bruce, D., Li, J., Finn, A., & O’Hehir, J. (2021). Research note: cost-efficient estimates of Pinus radiata wood volumes using multitemporal LiDAR data. Australian Forestry, 84(4), 206-214.
DOI Scopus4 WoS4
2021 Sanchez, G., Halpin, J. A., Gard, M., Hasterok, D., Stål, T., Raimondo, T., . . . Burton‐Johnson, A. (2021). PetroChron Antarctica: a geological database for interdisciplinary use. Geochemistry, Geophysics, Geosystems, 22(12), 1-14.
DOI Scopus21 WoS18
2021 Dühr, S., Gilbert, H., & Peters, S. (2021). Spatial data requirements for metropolitan spatial planning in South Australia: challenges for evidence-informed policy-making and monitoring. Planning Practice and Research, 36(5), 530-552.
DOI Scopus5 WoS4
2021 Anisi, R., De Souza, A., Brodie, G., Thaman, R., Peters, S., Jessop, L. W., & Keppel, G. (2021). The impact of ebony wood harvesting on Diospyros samoensis (Ebenaceae) on Vangunu Island, Western Solomon Islands. Pacific Conservation Biology, 27(2), 177-185.
DOI Scopus1 WoS1
2021 Peters, S. (2021). Remote fire detection: satellite-based early fire detection. The Forester, (issue February/March 2021), 32-34.
2020 Ramezani, M. R., Bavani, A. R. M., Jafari, M., Binesh, A., & Peters, S. (2020). Investigating the leaf area index changes in response to climate change (case study: Kasilian catchment, Iran). SN Applied Sciences, 2(3), 1-11.
DOI Scopus6 WoS5
2019 Taylor, C. M., Keppel, G., O'Sullivan, S., Peters, S., Kerr, G. D., & Williams, C. R. (2019). Indiscriminate feeding by an alien population of the spotted-thighed frog (Litoria cyclorhyncha) in southern Australia and potential impacts on native biodiversity. Australian Journal of Zoology, 67(2), 59-72.
DOI Scopus2 WoS2
2019 Pollett, A., Raimondo, T., Hand, M., & Peters, S. (2019). A crustal profile of the heat production of the Harts Range Group, Northern Territory. ASEG Extended Abstracts, 2019(1), 1-5.
DOI
2019 Kumar, P., Lewis, P., Cahalane, C., & Peters, S. (2019). Spatially optimised retrieval of 3D point cloud data from a geospatial database for road median extraction. Journal of Spatial Science, 67(1), 3-20.
DOI
2018 Peters, S., & Khoshelham, K. (2018). Preface. Ceur Workshop Proceedings, 2087, III.
2018 Taylor, C. M., Keppel, G., Peters, S., Hopkins, G. R., & Kerr, G. D. (2018). Establishment and potential spread of the introduced spotted-thighed frog, Litoria cyclorhyncha (Ranoidea cyclorhynchus), in South Australia. Transactions of the Royal Society of South Australia, 142(1), 86-101.
DOI Scopus4 WoS5
2016 Danielová, M., Kumke, H., & Peters, S. (2016). 3D reconstruction and uncertainty modelling using fuzzy logic of archaeological structures: applied to the temple of Diana in Nemi, Italy. Cartographica, 51(3), 137-146.
DOI Scopus12 WoS9
2015 Peters, S., Kanniah, K. D., & Rahman, A. A. (2015). Geoinformation postgraduate education at Universiti Teknologi Malaysia: towards a centre of high quality postgraduate education and research. International archives of the photogrammetry, remote sensing and spatial information sciences, XL-2/W4(2W4), 67-70.
DOI
2015 Peters, S., & Meng, L. (2015). Visual analytical approaches for lightning clusters as a case of spatially extended dynamic phenomena. Kartographische nachrichten, 2015(1), 21-28.
2015 Siew, C. B., Peters, S., & Rahman, A. A. (2015). Proposal for a web encoding service (WES) for spatial data transaction. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, II-2/W2(2W2), 63-67.
DOI
2015 Cron, J., & Peters, S. (2015). Looking back at three years of international Master of Science in Cartography: A cooperation of the TU Munich, TU Vienna and TU Dresden. Gis Science Die Zeitschrift Fur Geoinformatik, 1, 40-42.
2015 Peters, S., & Meng, L. (2015). Spatio-temporal density mapping for spatially extended dynamic phenomena: a novel approach to incorporate movements in density maps. International journal on advances in intelligent systems, 8(1&2), 27-39.
2013 Peters, S. (2013). Quadtree- and octree-based approach for point data selection in 2D or 3D. Annals of GIS, 19(1), 37-44.
DOI Scopus20
2013 Peters, S., & Meng, L. (2013). Visual analysis for nowcasting of multidimensional lightning data. ISPRS international journal of geo-Information, 2(3), 817-836.
DOI Scopus9 WoS6
2011 Krisp, J. M., & Peters, S. (2011). Directed kernel density estimation (DKDE) for time series visualization. Annals of GIS, 17(3), 155-162.
DOI Scopus10
2010 Meng, L., Krisp, J., & Peters, S. (2010). Development of an international master program in cartography. Kartographische Nachrichten, 60(4), 200-204.
Scopus1
2009 Krisp, J. M., Peters, S., Murphy, C. E., & Fan, H. (2009). Visual bandwidth selection for kernel density maps. Photogrammetrie, fernerkundung, geoinformation, 2009(5), 445-454.
DOI Scopus16 WoS13
2009 Peters, S. (2009). Comparison of interpolation methods for mapping viticultural variables. GIS.Science, 2009(2), 50-56.

Year Citation
2022 Nichols, J., Du, J. T., Peters, S., Fong, D., Harris Faull, A., Gu, N., . . . Fardous, J. (2022). Conceptualizing co-mapping knowledges to promote social justice outcomes with Aboriginal communities through design pedagogy. In B. Mehdra (Ed.), Source details - Title: Social Justice Design and Implementation in Library and Information Science (pp. 1-22). US: Routledge.
DOI
2017 Peters, S., Jahnke, M., Murphy, C. E., Meng, L., & Abdul Rahman, A. (2017). Cartographic enrichment of 3D city models: state of the art and research perspectives. In A. Abdul-Rahman (Ed.), Source details - Title: Advances in 3D geoinformation (Vol. 0, pp. 207-230). United States: Springer International Publishing AG.
DOI Scopus8 WoS3
2014 Peters, S., Betz, H. D., & Meng, L. (2014). Visual analysis of lightning data using space-time-cube. In M. Burghardt (Ed.), Source details - Title: Cartography from pole to pole (pp. 165-176). Germany: Springer.
DOI
2013 Rojas, C., Mauricio, V., Sergio, O., Peters, S., & Constanza, V. (2013). Pre and post earthquake land use and land cover identification in Concepción. In J. M. Krisp (Ed.), Event/exhibition information: 3rd International Conference on Earth Observation and Global Changes, EOGC 2011, Munich, Germany, 13/04/2011-15/04/2011
Source details - Title: Earth observation of global changes (Vol. 0, pp. 223-231). Germany: Springer-Verlag Berlin Heidelberg,.
DOI Scopus6
2011 Peters, S. (2011). Interactive scale-dependent multidimensional point data selection using enhanced Polarization Transformation. In A. Ruas (Ed.), Source details - Title: Advances in cartography and GIScience, Volume 1 (pp. 387-408). Germany: Springer.
DOI

Year Citation
2025 Chen, X., Li, J., Liu, J., Liu, L., Peters, S., Le, T. D., . . . Walsh, A. (2025). Diffusion Models for Attribution. In T. Walsh, J. Shah, & Z. Kolter (Eds.), Proceedings of the Aaai Conference on Artificial Intelligence Vol. 39 (pp. 2266-2274). US: ASSOC ADVANCEMENT ARTIFICIAL INTELLIGENCE.
DOI
2024 Andualem, T. G., Hewa, G. A., Boland, J., Peters, S., & Myers, B. R. (2024). Hydroclimate Variability and Sediment Dynamics in Dry Creek Catchment, South Australia. In Hydrology and Water Resources Symposium Hwrs 2024 (pp. 563-570).
2023 Chen, X., Li, J., Liu, J., Peters, S., Liu, L., Le, T. D., & Walsh, A. (2023). Improve interpretability of Information Bottlenecks for Attribution with Layer-wise Relevance Propagation. In Proceedings 2023 IEEE International Conference on Big Data Bigdata 2023 (pp. 1064-1069). US: IEEE.
DOI
2022 Du, J. T., Peters, S., Haines, J., Trevorrow, A. E., Jia, R. M., & Ziaian, T. (2022). A Framework for Co-designing and Developing Participatory Storymaps with Aboriginal Communities. In Proceedings of the Association for Information Science and Technology Vol. 59 (pp. 420-425). US: Wiley.
DOI Scopus6
2021 Peters, S. (2021). Low voltage in limb leads in arrhythmogenic cardiomyopathy. In EUROPEAN HEART JOURNAL Vol. 42 (pp. 301). OXFORD UNIV PRESS.
2019 Finn, A., Brinkworth, R., Griffiths, D., & Peters, S. (2019). Determining morphometric properties of radiata pine using long wave infrared sensing and biologically-inspired vision. In International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives Vol. 42 (pp. 277-281). Germany: Copernicus GmbH.
DOI Scopus2 WoS1
2015 Peters, S., Papakosta, P., & Diosono, F. (2015). Retrieving 3D subsurface structures with geoelectric for archaeological decision support in Nemi, Italy. In C. R. el. (Ed.), The 27th International cartographic conference and the 16th general assembly of ICA proceedings (pp. 1-8). Brazil: International Cartographic Association.
2014 Peters, S., & Meng, L. (2014). Spatio temporal density mapping of a dynamic phenomenon. In C. P. Rückemann (Ed.), GEOProcessing 2014, The Sixth International Conference on Advanced Geographic Information Systems, Applications, and Services (pp. 83-88). US: IARIA.
2013 Peters, S., Meng, L., Krisp, J. M., Gartner, G., Ortag, F., Buchroithner, M., . . . Prechtel, N. (2013). First resume of the new international Master of Science in Cartography. In M. F. Buchroithner (Ed.), Proceedings of the 26th International Cartographic Conference (pp. 1-12). Switzerland: International Cartographic Association.
2013 Krisp, J. M., Peters, S., & Burkert, F. (2013). Visualizing crowd movement patterns using a directed kernel density estimation. In J. M. Krisp (Ed.), Earth Observation of Global Changes Vol. 0 (pp. 255-268). Germany: Springer.
DOI Scopus6
2011 Peters, S. (2011). A new International master program in cartography. In A. Ruas (Ed.), Proceedings of the 25th International Cartographic Conference (pp. 1-4). Switzerland: International Cartographic Association.
2011 Krisp, J., Peters, S., & Meng, L. (2011). About the international master's program in cartography. In Y. Asami (Ed.), Procedia social and behavioral sciences Vol. 21 (pp. 29-32). Netherlands: Elsevier.
DOI
2010 Peters, S., & Krisp, J. M. (2010). Density calculation for moving points. In M. Painho (Ed.), The 13th AGILE International Conference on Geographic Information Science: Geospatial Thinking (pp. 1-11). Portugal: Association of Geographic Information Laboratories in Europe (AGILE).
2009 Peters, S., Krisp, J., & Meng, L. (2009). Development of an international master program in cartography and geoinformatics. In Proceedings of the 24th International Cartographic Conference (pp. 1-9). Switzerland: International Cartographic Association.

Year Citation
2024 Finn, A., Younger, J., Peters, S., OHehir, J., Lucieer, A., & Turner, D. (2024). 3D Point Cloud Fusion Using Aerial and Terrestrial Laser Scanning. Australia: FWPA.
2024 Younger, J., Turner, D., Lucieer, A., Finn, A., Andriolo, S., Peters, S., & OHehir, J. (2024). Geospatial Positioning and Fusion: is real-time sub-metre, accuracy operationally feasible in forestry environments?. Australia: FWPA.
2023 Peters, S., Lu, S., Jones, E., Liu, J., Li, J., OHehir, J., . . . Oliver, S. (2023). Energy efficient onboard AI for early fire-smoke detection. Australia: SmartSat CRC.
2023 Finn, A., Peters, S., OHehir, J., Lucieer, A., & Turner, D. (2023). Design of Canopy Scenarios and Identification of Trial Sites and Procedures. Australia: NIFPI.
2023 Finn, A., Peters, S., OHehir, J., Lucieer, A., & Turner, D. (2023). Geospatial positioning and fusion: is real-time sub-metre, accuracy operationally feasible in forestry environments? Systems analysis and benchmarking of grower needs. Australia: FWPA.
2022 Roetman, P., Peters, S., Szajer, K., & Cochrane, A. (2022). Habitat corridors in Burnside - Biodiversity Sensitive Urban Design planning in the City of Burnside. Australia: University of South Australia.
DOI
2022 Guerin, G., Keppel, G., Peters, S., Nolan, R., Sarnow, U., Bradshaw, H., . . . Boutsalis, E. (2022). Dieback of Stringybark Forests in The Mount Lofty Ranges - phase 1. Australia: University of South Australia & University of Adelaide.
DOI
2021 Davis, A., Madigan, D., Dühr, S., Kroll, D., Afrooz, A. E., Peters, S., & Vij, A. (2021). Downsizing to the City: project report. Australia: University of South Australia.
2020 Dühr, S., Gilbert, H., & Peters, S. (2020). 'Evidence-informed' metropolitan planning in Australia? Investigating spatial data availability, integration and governance. Australia: University of South Australia.
2018 Peters, S., Bruce, D., & Jixue, L. (2018). Forest yield predictions from multi-temporal LiDAR: Corporate body:Forestry SA commissioning body. Australia: University of South Australia.

Year Citation
2024 Peters, S., Liu, J., Keppel, G., Wendleder, A., & Xu, P. (2024). Detecting Co-Seismic Landslides in GEE using Machine-Learning Algorithms on combined Multispectral and RADAR Imagery.
DOI

The following is a chronological record of funded research projects, highlighting my role and the specific funding category as per university reporting .

  • 2025 – 2029: Transforming future softwood productivity through optimal site-specific silviculture – Principal Investigator – Category 3 (McGrath Forestry Services): $176,000 [Precision Forestry].
  • 2025 – 2029: National Industry PhD - Transforming future softwood productivity – Principal Investigator – Category 5 (National Industry PhD Program): $74,328 [Forestry Education].
  • 2024 – 2026: On-orbit evaluation and demonstration of energy-efficient fire smoke detection on the Kanyini CubeSat – Principal Investigator – Category 4 (SmartSat CRC): $227,190 [Space-Based AI & Wildfire].
  • 2024 – 2025: Remote Sensing-Derived Biodiversity Indicators for Scalable Forest Plantation Monitoring – Principal Investigator – Internal (UniSA): $19,700 [Biodiversity & Ecology].
  • 2024 – 2025: Remote Sensing based Biodiversity assessment pilot study – Co-Investigator – Category 3 (PF Olsen Aus): $20,000 [Forestry Monitoring].
  • 2024: Verification of Onboard Smoke Detection Model and Algorithms – Principal Investigator – Category 4 (SmartSat CRC): $59,800 [Wildfire Mitigation].
  • 2024 – 2026: Operational Transition of PINT Software – Co-Investigator – Category 1 (FWPA): $83,722 [Precision Forestry].
  • 2023 – 2025: Plantation water use and environmental asset management – Co-Investigator – Category 3 (FWPA): $458,677 [Environmental Assets].
  • 2023 – 2025: Weed Identification Using Remote Sensing – Co-Investigator – Category 3 (FWPA): $362,012 [Agricultural Remote Sensing].
  • 2022 – 2023: Energy-efficient on-board AI for early fire smoke detection – Principal Investigator – Category 4 (SmartSat CRC): $146,727 [Space-Based AI].
  • 2021: Habitat corridors in Burnside – Principal Investigator – Category 2 (City of Burnside): $9,000 [Ecological Modelling].
  • 2020 – 2024: Satellite image-based smoke detection for bush fire detection – Co-Investigator – Category 4 (SmartSat CRC): $52,500 [Wildfire Mitigation].
  • 2020 – 2021: Promoting Aboriginal Cultural Storytelling using Web-GIS – Co-Investigator – Internal (RTIS): $40,000 [Applied GIS & Social Impact].
  • 2020 – 2021: Downsizing to the city: Older Australians’ mobility patterns – Co-Investigator – Internal (RTIS): $39,906 [Urban Planning].
  • 2019 – 2021: Solutions for optimal use of high-resolution data in forestry – Co-Investigator – Category 2 (FWPA): $500,000 [Precision Forestry]

I am a committed educator recognized for excellence in Geospatial Science instruction. My teaching philosophy focuses on bridging the gap between foundational theory and advanced practical application.

  • Course Coordination: I coordinate and teach core courses within the STEM unit, including Web Cartography (GEOE 3019), Environmental Remote Sensing (GEOE 2022), and the Environmental and Geospatial Field Project (ENVT 3030).
  • Teaching Excellence: My student evaluation (SET) scores consistently exceed benchmarks, with overall satisfaction means reaching 88% to 100% in recent years (2023–2025).
  • Student Feedback: Students have described my teaching as "exceptional," noting that I provide "depth and clarity to complex topics" and foster a "positive and encouraging learning environment".
  • Supervision: I serve as a Principal Supervisor for HDR candidates, mentoring the next generation of researchers in AI-driven fire detection and sustainable silviculture.

Date Role Research Topic Program Degree Type Student Load Student Name
2025 Co-Supervisor Remote Sensing Foundation Models for Wildfire Smoke Detection Master of Research (Computer and Info Sci) Master Full Time Yifan Guo
2025 Principal Supervisor Early Detection of Tree Disturbance in Green Triangle Forestry Plantations Using Cloud-Based Remote Sensing Master of Research (Mech and Manuf Eng) Master Full Time Mr Evan Boutsalis
2025 Principal Supervisor Satellite-based monitoring of softwood productivity through optimal site-specific silviculture - Doctorate Full Time Thuy Thi Phuong Vu
2025 Co-Supervisor 386-Comprehensive Analysis of Hydrological Losses in SA: Integrating Parametric and Non-parametric Approaches Doctor of Philosophy Doctorate Full Time Miss Tharindi Wijekoon
2025 Principal Supervisor Physics-informed Self-supervised Learning for Optical Satellite-based Wildfire Detection with Onboard Distillation - Doctorate Full Time Kaylen Smith
2025 Principal Supervisor Satellite-based monitoring of softwood productivity through optimal site-specific silviculture Doctor of Philosophy Doctorate Full Time Thuy Thi Phuong Vu
2025 Principal Supervisor Physics-informed Self-supervised Learning for Optical Satellite-based Wildfire Detection with Onboard Distillation Doctor of Philosophy Doctorate Full Time Kaylen Smith
2024 Co-Supervisor 383- Enhancing Hydrological Accuracy through Advanced Rating Curves and Gauged Flow Modelling in SA Catchments Doctor of Philosophy Doctorate Full Time Chamaka Karunanayake
2023 Principal Supervisor Quantifying dieback of Eucalypt forests using remote sensing   Doctor of Philosophy Doctorate Full Time Ms Donna Lee Fitzgerald
2022 Co-Supervisor The impact of Cyclone Larry on rainforest functioning in the Australian Wet Tropics Doctor of Philosophy Doctorate Full Time Mr Otasowie Michael Eguagie
2022 Co-Supervisor Develop causal outcome prediction models for trustworthy interpretation Doctor of Philosophy Doctorate Full Time Xiongren Chen

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