https://ogma.newcastle.edu.au/vital/access/ /manager/Index en-au 5 Review on IPCC Reports https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:43718 Wed 28 Sep 2022 10:30:06 AEST ]]> Monitoring irrigation using landsat observations and climate data over regional scales in the Murray-Darling Basin https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:40177 Kc) based on multiple published relationships. These are combined through the FAO56 methodology using gridded rainfall and two reference evapotranspiration (ETo) products to find actual evapotranspiration as AET = ETo x Kc, providing six ETo-Kc combinations. Results indicate this study method can effectively assess irrigation water use over a range of catchment sizes from ~6000 to ~600,000 ha, although issues arise when regions have a designated low allocation volume for that season (less than40%). Comparisons with the Standardised Precipitation Index (SPI) and Evaporative Stress Index (ESI) show that the proposed method is robust to the rapid onset and short-term droughts, However, its performance was poor during the long term droughts with low water allocation years. The study results during these years has been predominately attributed to water stress in certain crops being undetected, agricultural managers skipping annual crop commodities as well as stock and domestic water use making up larger portions of total water use. This is a limitation of this approach, although when only comparing results in years with greater than 40% allocations, the results improved significantly showing it can monitor water use effectively. When adequate water is available, this approach is able to accurately predict irrigation water use for the sites examined.]]> Wed 28 Feb 2024 14:57:23 AEDT ]]> Links between the big dry in Australia and hemispheric multi-decadal climate variability-implications for water resource management https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:17488 Wed 11 Apr 2018 16:41:29 AEST ]]> Remote sensing's role in improving transboundary water regulation and compliance: The Murray-Darling Basin, Australia https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:44358 Tue 11 Oct 2022 19:49:30 AEDT ]]> Water resource management in a changing climate: can we afford to wait for the climate models to give us the answer? https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:12127 Thu 20 Oct 2022 13:29:10 AEDT ]]> Bridging the gap between climate science capability and water resource management https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:25760 Thu 20 Oct 2022 13:27:49 AEDT ]]> Investigating the impact of predicitive uncertainity in rainfall-runoff modelling on storage reliability estimates using Bayesian total error analysis https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:6095 Sat 24 Mar 2018 07:44:25 AEDT ]]> Monitoring irrigation water use over paddock scales using climate data and landsat observations https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:35017 c) based on multiple published relationships. These are combined through the FAO56 methodology using gridded rainfall and two gridded reference evapotranspiration (ETo) products to estimate actual evapotranspiration, providing six Kc - ETo combinations which are then compared to actual/recorded irrigation volumes from test sites. The method was tested over an almond farm, two vineyards and a cotton field; in addition to Goulburn-Murray Water’s (GMW) individual farm scale sites with unknown crops, all located within Australia. The developed approach provided estimated irrigation volumes that closely matched measured data for almond and cotton farms, while vineyards returned less accurate results due to localised management techniques that do not agree with land management assumptions made. The results from GMW showed some indication of the irrigation water use, although more details of the site being assessed needs to be available (i.e. crop type and extent). This study demonstrates the ability of certain remote sensing Kc relationships for sensing irrigation water use and shows the potential applications of the developed approach in monitoring irrigation over paddock scale environments.]]> Mon 26 Jun 2023 14:59:03 AEST ]]>