Estimation of Agricultural Water Productivity Using Remote Sensing Technology (Case Study: Qazvin Plain Irrigation Network)

Document Type : Research Paper

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Abstract

Nowadays, application of remote sensing data in water resources, particularly in irrigation management has been widely acknowledged by researchers. In this research feasibility of the use of energy balance model for estimation of evapotranspiration and assessment of agricultural water productivity in a large irrigated area of the Qazvin plain irrigation network was studied, using satellite data. The SEBAL Energy balance algorithm was used to calculate evapotranspiration. SEBAL uses the reflectance capability of solar radiation that is received by satellite sensors and estimates the evapotranspiration from the residue of energy balance equation. In this study, moderate-spatial resolution of Landsat 7 ETM+ images for the semi-arid climate of the study area of Qazvin Plain were considered and the resulted evapotranspiration values were modified and adapted using the FAO-56 methodology for 2001. The results showed a good agreement between FAO Penman- Monteith data and the resulted actual ET values from Landsat 7 ETM+ images in 2010. Values of total daily evapotranspiration varied from 3.8 to 6.7 mm per day. Also, agricultural water productivity for dry biomass was estimated to be about 0.92 and 1.22 kg m-3 based on ground data and the resulted data from Landsat 7 ETM+ images, respectively.

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Water and Soil Science
Volume 25, 1-4
February 2015
Pages 57-68

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