SEBAL For Detecting Spatial Variation Of Water Productivity For Wheat In The Yaqui Valley, Mexico

作者: S. J. Zwart

DOI: 10.1063/1.2349339

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摘要: Although the use of water productivity is gaining importance for evaluating good management practices, there no standardized framework that aids calculations. A methodology has been developed to quantify spatial variation crop yield, evapotranspiration (ET) and (WPET) using SEBAL algorithm high low resolution satellite images. estimated ET was validated over a wheat dominated area in Yaqui Valley, Mexico proved be accurate. Estimated average yields 5.5 ton ha−1 were well within range measured reported literature. Area WPET 1.37 kg m−3 could considered compared other irrigated systems around world It concluded proposed accurate better knowledge WP provides valuable information regional managers seek local solutions boosting agricultural by means sharing exchanging mana...

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