Our People

Project Leader

About

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:

Project leadership

This project seeks to optimise the use of earth observing systems for active fire monitoring by exploring issues of scale, accuracy and reliability, and to improve the mapping and estimation of post-fire severity and fuel change through empirical remote sensing observations. Outcomes will enable satellite measures of fire activity to be made, which in turn have the potential to inform or support efforts in bushfire response planning and fire rehabilitation efforts. A particular focus is on the analysis of data obtained from Himawari-8, which is able to provide updated imagery on a 10 minute basis.

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.

The detection and surveillance of active fire using Himawari-8


Himawari-8 presents exciting opportunities to map fires in near real time. Exploiting information across temporal and spatial domains enables a new paradigm in fire detection and surveillance.

The diurnal cycle and its role in fire detection using Himawari-8


Accurately estimating background temperatures is vital for identifying fire using remote sensing. New temporal-based methods for temperature estimation are harnessing the increased stream of imagery from new satellite sensors to improve our understanding of the diurnal cycle of the landscape.

Fuels3D: what's the point?


The Fuels3D app provides a low cost data collection method for estimating fuel hazard metrics. Testing of the app has demonstrated that it provides significantly greater repeatability and improved quantification of metrics than visual assessments.

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