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Flood mapping under vegetation using single SAR acquisitions. Remote Sensing of Environment 237, (2020).
Guidelines on the optimal use of remote sensing data to improve the accuracy of hydrologic and hydraulic models. (Bushfire and Natural Hazards CRC, 2020).
Improving flood forecast skill using remote sensing data – final project report. (Bushfire and Natural Hazards CRC, 2020).
Improving flood forecast using remote sensing data - annual report 2018-2019. (Bushfire and Natural Hazards CRC, 2019).
Improving flood forecasting skill using remotely sensed data. Bushfire and Natural Hazards CRC Research Day AFAC19 (2019). at <https://knowledge.aidr.org.au/resources/australian-journal-of-emergency-management-monograph-series/>
River reconstruction using a conformal mapping method. Environmental Modelling & Software 119, 197-213 (2019).
Effective Representation of River Geometry in Hydraulic Flood Forecast Models. Water Resources Research 54, (2018).
Evaluation of TanDEM-X and DEM-H digital elevation models over the Condamine-Balonne catchment. Hydrology and Water Resources Symposium (HWRS 2018): Water and Communities (Monash University , 2018). at <https://search.informit.com.au/documentSummary;dn=134740719984631;res=IELENG>
Hydrologic model calibration using remotely sensed soil moisture and discharge measurements: The impact on predictions at gauged and ungauged locations. Journal of Hydrology 557, (2018).
Impact of rain gauge quality control and interpolation on streamflow simulation: an application to the Warwick Catchment, Australia. Frontiers in Earth Science (2018). doi:https://doi.org/10.3389/feart.2017.00114
Improving flood forecast skill using remote sensing data. AFAC17 (Bushfire and Natural Hazards CRC, 2017).
Improving flood forecast skill using remote sensing data: annual report 2016-17. (Bushfire and Natural Hazards CRC, 2017).
Application of Remote Sensing Data to Constrain Operational Rainfall-Driven Flood Forecasting: A Review. Remote Sensing 8, (2016).
Improving flood forecast skill using remote sensing: Annual project report 2015-2016. (Bushfire and Natural Hazards CRC, 2016).
Improving flood forecast skill using remote sensing data. AFAC16 (Bushfire and Natural Hazards CRC, 2016).
Remote Sensing-Derived Water Extent and Level to Constrain Hydraulic Flood Forecasting Models: Opportunities and Challenges. Surveys in Geophysics 37, (2016).
Combining hydrologic and hydraulic models for real time flood forecasting - non peer reviewed extended abstract. Adelaide Conference 2015 (2015).
Improving flood forecast skill using remote sensing data: Annual project report 2014-2015. (Bushfire and Natural Hazards CRC, 2015).