STAFF PROFILE
Professor Simon Jones
Position:
Professor
College / Portfolio:
STEM College
School / Department:
STEM|School of Science
Email:
simon.jones@rmit.edu.au
Campus:
City Campus
Contact me about:
Research supervision,
Media comments
Areas of expertise
- Remote sensing
- Ground verification (in situ observations)
- Spatial analysis
- Spatial data uncertainty
- Land-cover mapping
- Monitoring and modelling
- Vegetation
Responsibilities
- Professor of Remote Sensing
- Director of the Remote Sensing and Photogrammetry Research Centre
Teaching activities
- Undergraduate
- Postgraduate
Research activities
- Biophysical remote sensing of terrestrial environments
- In situ observations (including spectral-radiometry)
- Scaling ground observations to the image and landscape level
- Spatial data uncertainty
- Bachelor of Arts (Joint Honours), University of Manchester, UK
- Master of Science, (UCL) University of London, UK
- PhD, University of Leicester, UK
Awards
- Winner Asia-Pacific Spatial Excellence Awards 2011: Excellence in Education and Professional Development
- Winner 7th Annual Victorian Spatial Excellence Awards 2011: Excellence in Education and Professional Development
Professional societies / affiliations
- Fellow of the Royal Geographical Society (FRGS) (Member since 1996)
- Director, Spatial Sciences Institute, Australia (2006-8)
- Member of the Institute of Electrical and Electronics Engineers (IEEE)
- Co-Chair IGARSS, IEEE International Geoscience and Remote Sensing Symposium, Melbourne 2013
- Hillman, S.,Wallace, L.,Lucieer, A.,Reinke, K.,Turner, D.,Jones, S. (2021). A comparison of terrestrial and UAS sensors for measuring fuel hazard in a dry sclerophyll forest In: International Journal of Applied Earth Observation and Geoinformation, 95, 1 - 13
- Hillman, S.,Hally, B.,Wallace, J.,Turner, D.,Lucieer, A.,Reinke, K.,Jones, S. (2021). High-resolution estimates of fire severity—an evaluation of uas image and lidar mapping approaches on a sedgeland forest boundary in tasmania, australia In: Fire, 4, 1 - 28
- Nguyen, T.,Jones, S.,Soto-Berelov, M.,Haywood, A.,Hislop, S. (2020). Landsat time-series for estimating forest aboveground biomass and its dynamics across space and time: A review In: Remote Sensing, 12, 1 - 25
- Fallatah, A.,Jones, S.,Mitchell, D. (2020). Object-based random forest classification for informal settlements identification in the Middle East: Jeddah a case study In: International Journal of Remote Sensing, 41, 4421 - 4445
- Hislop, S.,Haywood, A.,Jones, S.,Soto-Berelov, M.,Skidmore, A.,Nguyen, T. (2020). A satellite data driven approach to monitoring and reporting fire disturbance and recovery across boreal and temperate forests In: International Journal of Applied Earth Observation and Geoinformation, 87, 1 - 14
- Rathnayake, C.,Jones, S.,Soto-Berelov, M. (2020). Mapping land cover change over a 25-year period (1993-2018) in Sri Lanka using landsat time-series In: Land, 9, 1 - 19
- Sharma, R.,Eklund, J.,Barnes, M.,Geldmann, J.,Schleicher, J.,Pressey, R.,Gutierrez Gonzalez, M.,Jones, S.,Gordon, A. (2020). The impact of terrestrial protected areas on vegetation extent and condition: A systematic review protocol In: Environmental Evidence, 9, 1 - 7
- McGlade, J.,Wallace, L.,Hally, B.,White, A.,Reinke, K.,Jones, S. (2020). An early exploration of the use of the Microsoft Azure Kinect for estimation of urban tree Diameter at Breast Height In: Remote Sensing Letters, 11, 963 - 972
- Wallace, L.,Hally, B.,Hillman, S.,Jones, S.,Reinke, K. (2020). Terrestrial image-based point clouds for mapping near-ground vegetation structure: Potential and limitations In: Fire, 3, 1 - 15
- Engel, C.,Jones, S.,Reinke, K. (2020). A Seasonal-Window Ensemble-Based Thresholding Technique Used to Detect Active Fires in Geostationary Remotely Sensed Data In: IEEE Transactions on Geoscience and Remote Sensing, , 1 - 10
- Real time fire analytics. Funded by: SmartSat CRC from (2021 to 2024)
- Using earth observation to better understand the effects of aerial firefighting (Project code: BSF02). Funded by: Bushfire and Natural Hazards CRC Contract from (2021 to 2021)
- Assessing the effects of water and nutrient stress on wine quality using hyperspectral remote sensing. Funded by: Australian Grape and Wine Authority Grants 2015 from (2015 to 2018)
- LiDAR forest characterisation, CSIRO Top-up Scholarship, Phil Wilkes. Funded by: CSIRO Post Graduate Top-Up Scholarship from (2013 to 2015)
- Water and nutrient stress detection in broad acre crops using remote sensing. Funded by: ARC Linkage Project 2007 Round 2 from (2008 to 2013)
Note: Supervision projects since 2004
12 PhD Current Supervisions19 PhD Completions and 2 Masters by Research Completions
Remote sensing, geographic information systems, spatial data uncertainty, land-cover mapping, monitoring and modelling, bushfires, tropical ecosystems, ground verification (in situ observations).