Objects
Bretreger, David, Yeo, In-Young, Quijano, Juan, Awad, John, Hancock, Greg, Willgoose, Gary. Elsevier; 2019. Monitoring irrigation water use over paddock scales using climate data and landsat observations.
Bretreger, David, Yeo, In-Young, Hancock, Greg. Elsevier; 2022. Quantifying irrigation water use with remote sensing: Soil water deficit modelling with uncertain soil parameters.
Bretreger, David, Yeo, In-Young, Kuczera, George, Hancock, Greg. Elsevier; 2021. Remote sensing's role in improving transboundary water regulation and compliance: The Murray-Darling Basin, Australia.
Bretreger, David, Yeo, In-Young, Melchers, Robert. Exeley; 2020. LiDAR derived terrain wetness indices to infer soil moisture above underground pipelines.
Bretreger, David, Yeo, In-Young. Modelling and Simulation Society of Australia and New Zealand; 2019. The effects of SILO & AWRA wind speeds on irrigation depth simulations.
Bretreger, David, Yeo, In-Young, Melchers, Robert. Elsevier; 2021. Terrain wetness indices derived from LiDAR to inform soil moisture and corrosion potential for underground infrastructure.
Bretreger, David, Quijano, Juan, Awad, John. Engineers Australia; 2018. Monitoring irrigation volumes using climate data and remote sensing observations.
Bretreger, David, Warner, Alexander, Yeo, In-Young. Modelling and Simulation Society of Australia and New Zealand; 2019. Comparing remote sensing and tabulated crop coefficients to assess irrigation water use.
Dari, Jacopo, Brocca, Luca, Quintana-Seguí, Pere, Bretreger, David, Volden, Espen, Modanesi, Sara, Massari, Christian, Tarpanelli, Angelica, Barbetta, Silvia, Quast, Raphael, Vreugdenhil, Mariette, Freeman, Vahid, Barella-Ortiz, Anaïs. Copernicus GmbH; 2023. Regional data sets of high-resolution (1 and 6 km) irrigation estimates from space.
Bretreger, David, Yeo, In-Young, Hancock, Greg, Willgoose, Garry. Elsevier; 2020. Monitoring irrigation using landsat observations and climate data over regional scales in the Murray-Darling Basin.
Bretreger, David. Improved water resource management through remote sensing: methods to quantify irrigation water use. 2023.
Kumari, Nikul, Srivastava, Ankur, Sahoo, Bhabagrahi, Raghuwanshi, Narendra Singh, Bretreger, David. Springer; 2021. Identification of Suitable Hydrological Models for Streamflow Assessment in the Kangsabati River Basin, India, by Using Different Model Selection Scores.