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Representing vapour and capillary rise from the soil improves a leaf litter moisture model. Journal of Hydrology 612, (2022).
Continental-scale prediction of live fuel moisture content using soil moisture information. Agricultural and Forest Meteorology 307, (2021).
The influence of soil moisture on surface and sub-surface litter fuel moisture simulation at five Australian sites. Agricultural and Forest Meteorology 298-299, (2021).
Soil and fuel moisture precursors of fire activity during the 2019-20 fire season, in comparison to previous seasons - Black Summer final report. (Bushfire and Natural Hazards CRC, 2021).
Case study: use of remote sensing data to derive spatial and temporal explicit fuel accumulation curves across defence lands. (Bushfire and Natural Hazards CRC, 2020).
Exploring the soil moisture-live fuel moisture relationship. (Bushfire and Natural Hazards CRC, 2020).
A Live Fuel Moisture Content Product from Landsat TM Satellite Time Series for Implementation in Fire Behavior Models. Remote Sensing 12, (2020).
Mapping bushfire hazard and impacts – final project report. (Bushfire and Natural Hazards CRC, 2020).
Satellite Remote Sensing Contributions to Wildland Fire Science and Management. Current Forestry Reports (2020). doi:https://doi.org/10.1007/s40725-020-00116-5
Assessment of the Dual Polarimetric Sentinel-1A Data for Forest Fuel Moisture Content Estimation. Remote Sensing 11, (2019).
Globe-LFMC, a global plant water status database for vegetation ecophysiology and wildfire applications. Scientific Data 6, (2019).
Historical background and current developments for mapping burned area from satellite Earth observation. Remote Sensing of Environment 225, 45-64 (2019).
Mapping Bushfire Hazard and Impacts Annual Report 2017-2018. (Bushfire and Natural Hazards CRC, 2019).
Mapping bushfire hazards and impacts annual report 2018-2019. (Bushfire and Natural Hazards CRC, 2019).
Towards comprehensive characterisation of flammability and fire danger . Bushfire and Natural Hazards CRC Research Day AFAC19 (2019). at <https://knowledge.aidr.org.au/resources/australian-journal-of-emergency-management-monograph-series/>
The Vegetation Structure Perpendicular Index (VSPI): A forest condition index for wildlife predictions. Remote Sensing of Environment 224, (2019).
Australian Flammability Monitoring System Version 1.0: User feedback and priorities for further development. (Bushfire and Natural Hazards CRC, 2018).
Estimating fire severity and carbon emissions over Australian tropical savannahs based on passive microwave satellite observations. International Journal of Remote Sensing (2018). doi:https://doi.org/10.1080/01431161.2018.1460507
Evaluation of the feasibility and benefits of operational use of alternative satellite data in the Australian Flammability Monitoring System to ensure long-term data continuity. (Bushfire and Natural Hazards CRC, 2018).
A fuel moisture content and flammability monitoring methodology for continental Australia based on optical remote sensing. Remote Sensing of Environment 212, 12 (2018).
A lidar-derived fuel map for the ACT. AFAC18 (Bushfire and Natural Hazards CRC, 2018).
Mapping bushfire hazards and impacts: annual project report 2017-18. (Bushfire and Natural Hazards CRC, 2018).
Near real-time extracting wildfire spread rate from Himawari-8 satellite data. Remote Sensing 10, 1654 (2018).
The Australian Flammability Monitoring System. AFAC17 (Bushfire and Natural Hazards CRC, 2017).