Our People

Project Leader


Simon Jones is Professor of Remote Sensing and the Director of the Remote Sensing and Photogrammetry Research Centre at RMIT University.

His research interests include:
  • Biophysical remote sensing of terrestrial environments
  • In situ observations (including spectral-radiometry)
  • Scaling ground observations to the image and landscape level
  • Spatial data uncertainty

More info:

Posters credited

Disaster landscape attribution: Thermal anomaly and hazard mapping

This project seeks to (1) optimize the use of earth observing systems for active fire monitoring by exploring issues of scale, accuracy and reliability, and (2) to improve the mapping and estimation of post-fire severity and fuel change through empirical remote sensing observations.

Disaster landscape attribution

Understanding the utility of thermal remote sensing systems for active fire detection and monitoring. Exploring issues of scale, accuracy and reliability through simulations and field validation.

Disaster Landscape Attribution: Low Cost 3D Monitoring of Fuel Hazard

In the last decade A range of sensing technologies, techniques and platforms have emerged to capture 3D structural information. This project explores these systems as alternative quantitative solutions to traditional fuel hazard and fire severity evaluations. 

Disaster landscape Attribution: Attributing Active Fire Using Simulated Fire Landscapes

Active fires are inscreasingly being identified using satellite remote sensing to determine their size and severity. Verifying the information derived from the wide variety of different sensors and their associated fire algorithms can be a challenging task.

Chathura Wickramasinghe Conference Poster 2016

New algorithm, AHI-FSA (AHI fire surveillance algorithm) is introduced to map fire line at 500m spatial resolutions every 10 minutes.

Bryan Hally Conference Poster 2016

Current methods of fire detection using remote sensing rely on contextual algorithms to characterise fire.

Luke Wallace Conference Poster 2016

This project aims to attribute fire landscapes using the latest remote sensing technology.

Resources credited

Type Released Title Download Key Topics
Presentation-Slideshow 21 Mar 2014 Monitoring and prediction Save (7.35 MB) flood, modelling, multi-hazard
Presentation-Slideshow 05 Dec 2014 Thermal anomaly and hazard mapping Save (670.97 KB) fire, forecasting
Presentation-Slideshow 24 Oct 2016 Disaster landscape attribution, active fire detection and hazard mapping Save (1.9 MB) fire, fire impacts, remote sensing
HazardNoteEdition 28 Nov 2016 Monitoring and predicting natural hazards Save (853.18 KB) forecasting, modelling, severe weather

All the resources from our 2016 conference

Research program in detail

Where, why and how are Australians dying in floods?

2015-2016 year in review

Bushfire planning with kids ebook