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Description: Crop evapotranspiration (ET) is significant for irrigation water management systems. Accurate estimation of ET is essential for water budgeting and precision agriculture. The use of remote sensing-based ET estimation methods has increased as it provides the outcomes at the exact resolution of the satellite imagery. This study intended to model the crop coefficient and ET for the potato crop using high-resolution imagery of two fields in Prince Edward Island, Canada. Remotely sensed multispectral vegetation indices were used to quantify accurate crop water consumption or crop ET at field scale. The standard FAO Penman-Monteith equation was used to calculate the reference ET using weather data obtained from the nearest meteorological stations. The results showed that ET increased with each developmental stage of the potato crop. These ET maps are helpful to explain the variability of crop water use during a growing season. The applied methodology proved to be very valuable for farmers, who can provide the required amounts of irrigation water corresponding to the crop growth stage leading to water conservation for its sustainable use.

Keywords: Precision agriculture, Crop evapotranspiration, High-resolution imagery, Irrigation scheduling, Water conservation
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Date: 2022-07-24
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Conference name: CSBE/SCGAB 2022 Annual Conference, Charlottetow, PEI, 24-27 July 2022.
Session name: Poster Sessions

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Publication type: Poster
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Coverage: Canada
Language 1: en
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Rights: Canadian Society for Bioengineering
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