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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).
A fuel moisture content and flammability monitoring methodology for continental Australia based on optical remote sensing. Remote Sensing of Environment 212, 12 (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).
A radiative transfer model-based method for the estimation of grassland aboveground biomass. International Journal of Applied Earth Observation and Geoinformation 54, (2017).
Retrieval of forest fuel moisture content using a coupled radiative transfer model. Environmental Modelling & Software 95, 290-302 (2017).