- Title
- Monitoring irrigation water use over paddock scales using climate data and landsat observations
- Creator
- Bretreger, David; Yeo, In-Young; Quijano, Juan; Awad, John; Hancock, Greg; Willgoose, Gary
- Relation
- Agricultural Water Management Vol. 221, Issue 20 July 2019, p. 175-191
- Publisher Link
- http://dx.doi.org/10.1016/j.agwat.2019.05.002
- Publisher
- Elsevier
- Resource Type
- journal article
- Date
- 2019
- Description
- Irrigated agriculture has been identified as using approximately 72% of water globally. Many regions of the world are subject to water sharing plans that cross government boarders which contain a mixture of management policies, leading to the requirement to monitor irrigation water use. The study reported here aims to develop and test an approach using Landsat observations to monitor irrigation water use over paddock scales without the need for in-situ observations, ground data or knowledge of planting dates. Using conservative assumptions about agricultural land management practice (i.e. negligible runoff, drainage and soil moisture change), the irrigation is calculated over 25 m x 25 m Landsat images. The approach uses a combination of three vegetation indices derived from Landsat images to calculate crop coefficients (Kc) 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.
- Subject
- irrigation; compliance; Murray-Darling basin; water resource management; remote sensing; SDG 6; Sustainable Development Goals
- Identifier
- http://hdl.handle.net/1959.13/1402197
- Identifier
- uon:35017
- Identifier
- ISSN:0378-3774
- Rights
- © 2019. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/.
- Language
- eng
- Full Text
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