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Scheduling irrigations by merging water-use and radar backscatter models
Authors:Alastair Graham  Ray Harris
Affiliation:1.Telford Institute of Environmental Systems, Department of Geography, Peel Building, University of Salford, Manchester M5 4WT, UK,;2.Remote Sensing Unit, Department of Geography, University College London, 26 Bedford Way, London WC1H 0AP, UK,
Abstract:Penman-Monteith methods were merged with the water cloud radar model to simulate soil moisture, canopy moisture and radar backscatter for a field of potatoes (Solanum tuberosum) in the United Kingdom. The objective of this paper is to present the irrigation scheduling potential of the merged model. This study simulates water-use: radar backscatter simulation results are presented elsewhere and yield is not calculated by the merged model. Soil moisture deficit switches control the model, which in turn uses predetermined application rates defined by the user. The simulation results show that the most effective irrigation application during the 1999 simulation period would utilise 25 mm of water when a soil moisture deficit of 30 mm is reached. Significantly, this would have required less water application than that actually applied to the field.
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