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Project Leader

About

Albert Van Dijk leads the Water and Landscape Dynamics Group at the Fenner School of Environment and Society.

From 1996 to 2003, he studied aquifer hydrology, tropical land management and the carbon cycle, and lectured in ecohydrology at VU University Amsterdam. From 2003 to 2012, he was with CSIRO Land and Water, investigating the influence of vegetation management on land and water resources, the Murray-Darling Basin water system, environmental remote sensing, model-data fusion, and monitoring and forecasting water availability and drought. Albert led development of the Australian Water Resources Assessment system, a large observing and modelling system that underpins several of the Bureau of Meteorology’s water information services. He has authored more than 130 publications. He is adjunct science leader with CSIRO Land and Water, and chairs the Australian Energy and Water Exchange Initiative (OzEWEX).

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Project leadership

This project will develop methods to produce the spatial information on fire hazard needed by planners, land managers and emergency services. September 2016 - this project has a new PhD opportunity to use new technology to monitor fire risk on Department of Defence land. See flyer in description tab.
Research team:
Year Type Citation
2016 Journal Article Kiem, A. S. et al. Natural hazards in Australia: droughts. Climatic Change 139, 37-54 (2016).
2016 Journal Article Johnson, F. et al. Natural hazards in Australia: floods. Climatic Change 139, 21-35 (2016).
2016 Journal Article Holgate, C. M. et al. Comparison of remotely sensed and modelled soil moisture data sets across Australia. Remote Sensing of Environment 186, (2016).
2016 Report Yebra, M., van Dijk, A. & Cary, G. J. Mapping bushfire hazard and impacts: Annual project report 2015-2016. (Bushfire and Natural Hazards CRC, 2016).
2016 Journal Article Marselis, S., Yebra, M., Jovanovic, T. & van Dijk, A. Deriving comprehensive forest structure information from mobile laser scanning observations using automated point cloud classification. Environmental Modelling & Software 82, 142-151 (2016).
2015 Report Yebra, M., van Dijk, A. & Cary, G. J. Mapping bushfire hazard and impacts: Annual project report 2014-2015. (Bushfire and Natural Hazards CRC, 2015).
2015 Report van Dijk, A., Yebra, M. & Cary, G. J. A model-data fusion framework for estimating fuel properties, vegetation growth, carbon storage and the water balance at hillslope scale. (2015).
2015 Journal Article Yebra, M., van Dijk, A., Leuning, R. & Guerschman, J. Pablo. Global vegetation gross primary production estimation using satellite-derived light-use efficiency and canopy conductance. Remote Sensing of Environment 163, 206-216 (2015).
2015 Report Yebra, M., Marselis, S., van Dijk, A., Cary, G. J. & Chen, Y. Using LiDAR for forest and fuel structure mapping: options, benefits, requirements and costs. (Bushfire and Natural Hazards CRC, 2015).
2015 Report van Dijk, A. Mapping Bushfire Hazard and Impacts Annual Report 2014. (2015).
2015 Presentation Yebra, M., van Dijk, A. & Cary, G. J. Mapping bushfire hazard and impact. (2015).

Posters credited

Mapping bushfire hazard and impact


Little accurate and timely spatial information is currently available on bushfire hazard and impacts.

Mapping Bushfire Hazard and Impact


A good understanding of fire risk across the landscape is critical in preparing and responding to bushfire events and managing fire regimes, and this will be enhanced by remote sensing data. However, the vast array of spatial data sources available is not being used very effectively in fire management.

This project uses cutting edge technology and imagery to produce spatial information on fire hazard and impacts needed by planners, land managers and emergency services to effectively manage fire at landscape scales

Mapping forest fuel load and structure from airborne LiDAR data


Australia is a dry continent, with high climate variability, and is continually vulnerable to natural hazards like bushfires. to better evaluate and reduce the risk of bushfires, fire management agencies and land managers need timely, accurate and spatially explicit understorey fuel metrics along with climatic and other spatial topographical information. The Light detection and ranging (LiDAR) data and technology is a proven alternative to traditionally time consuming and labour intensive fuel assessment methods.

Marta Yebra Conference Poster 2016


Live fuel moisture content (LFMC) is one of the primary variables affecting bushfire flammability.

Narshima Garlapati Conference Poster 2016


The availability of spatially explicit quantitative forest information is critical for fire management

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 04 Dec 2014 Mapping bushfire hazard and impact Save (1.44 MB) fire impacts, land management, planning
Presentation-Slideshow 24 Oct 2016 Mapping bushfire hazard and impact Save (1.81 MB) fire impacts, modelling, 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