Our People

Marta Yebra
Researcher

About

Research Fellow

Fenner School of Environment & Society

The Australian National University

Project leadership

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 manage fire at landscape scales. The team works closely with agencies to better understand their procedures and information needs, comparing these with the spatial data and mapping methods that are readily available, and developing the next generation of mapping technologies to help them prepare and respond to bushfires.
Research team:
Year Type Citation
2017 Journal Article Holgate, C. M., van Dijk, A., Cary, G. J. & Yebra, M. Using alternative soil moisture estimates in the McArthur Forest Fire Danger Index. International Journal of Wildland Fire (2017). doi:10.1071/WF16217
2017 Journal Article Chen, Y., Zhu, X., Yebra, M., Harris, S. & Tapper, N. Development of a predictive model for estimating forest surface fuel load in Australian eucalypt forests with LiDAR data. Environmental Modelling & Software 97, 61-71 (2017).
2017 Conference Paper Yebra, M. et al. The Australian Flammability Monitoring System. AFAC17 (Bushfire and Natural Hazards CRC, 2017).
2017 Conference Paper Chen, Y., Zhu, X., Yebra, M., Harris, S. & Tapper, N. Estimation of forest surface fuel load using airborne LiDAR data. SPIE Remote Sensing (SPIE, 2017).
2017 Report Yebra, M., van Dijk, A. & Cary, G. J. Mapping bushfire hazards and impacts: annual project report 2016-17. (Bushfire and Natural Hazards CRC, 2017).
2017 Journal Article Quan, X. et al. A radiative transfer model-based method for the estimation of grassland aboveground biomass. International Journal of Applied Earth Observation and Geoinformation 54, (2017).
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., 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 Presentation Yebra, M., van Dijk, A. & Cary, G. J. Mapping bushfire hazard and impact. (2015).
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).

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.

Modelling Forest Fuel Temporal Change Using LiDAR


The primary option available to reduce fire risks to the community and the environment is through a modification of fuel availability (e.g. fuel reduction burnings). The development of accurate and reliable methods to quantify forest fuel characteristics and to understand forest fuel change over time is an ongoing requirement of government, fire authorities and land management agencies. LiDAR is proposed to measure landscape-scale forest fuels in order to generate a time effective, feasible and objective method for forest fuel hazard assessment.

Key Topics:
Marta Yebra Conference Poster 2016


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

Yang Chen Conference Poster 2016


This study is using LiDAR to measure landscape-scale forest fuels in order to generate a time effective, feasible and objective method for forest fuel hazard assessment.
Narshima Garlapati Conference Poster 2016


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

The Australian Flammability Monitoring System


The first national-scale, pre-operational, near-real time live fuel moisture content and flammability monitoring system for Australia.

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