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Use of Remote Sensing to Generate Crop Coefficient and Estimate Actual Crop Evapotranspiration

机译:使用遥感来产生作物系数并估计实际作物蒸散量

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Irrigation water is limited in many regions of the world. Accurate estimation of crop water requirements allows proper irrigation management and water conservation. A method used for estimating crop water requirement is the use of reference evapotranspiration (ETo) and crop coefficient (Kc). The objectives of this study were to generate Kc and estimate actual evapotranspiration (ETc) in forage crops using remote sensing in Northern Mexico. Monthly clear sky imagery from Landsat 5 (path/row 30/42) from March to November 2011 were used. The Normalized Difference Vegetation Index (NDVI) was calculated from reflectance of the red and near infrared bands. The relationship between NDVI derived from satellite images and Kc from literature was established.This relationship was used to create new Kc values for corn and alfalfa using additional overpass dates. The actual ET was estimated using new regional Kc and reference ET, which was estimated utilizing meteorological information from local agro-climaticstations. Results showed high coefficient of determination (r2) (0.97) between NDVI and Kc FAO-56, this relationship helped to generate new Kc curves for forage crops. The output of Kc values were multiplied by reference ET to estimate actual ET. The estimated crop water consumption on actual ET were 476 mm ha-1 for corn and 945 for alfalfa, saving 25 and 32% of irrigation water respectively. Remote sensing was a useful tool for generating local Kc and estimate accuracy of actual ET. Using this technology we can improve water management and conserve irrigation water.
机译:灌溉用水在世界上许多地区有限。准确估算作物水需求允许适当的灌溉管理和水资源。用于估计作物水需求的方法是使用参考蒸散(ETO)和作物系数(KC)。本研究的目的是使用墨西哥北部的遥感来产生饲料作物的KC和估计实际蒸散(ETC)。使用来自2011年3月至11月的Landsat 5(Path / Row 30/42)的每月清晰的天空图像。归一化差异植被指数(NDVI)由红色和近红外条带的反射率计算。建立了来自文献的卫星图像和KC的NDVI之间的关系。此关系用于使用额外的立交桥日期为玉米和苜蓿创建新的KC值。使用新的区域KC和参考等估计实际等,其利用当地农业气候的气象信息估计。结果表明,NDVI和KC FAO-56之间的测定系数高(R2)(0.97),这种关系有助于为牧草产生新的KC曲线。 KC值的输出乘以参考等来估计实际等。实际ET的估计作物耗水量为玉米和945针对苜蓿的945毫米,分别节省25%和32%的灌溉水。遥感是一种有用的工具,用于生成本地KC并估算实际ET的准确性。使用这项技术,我们可以改善水管理和节省灌溉水。

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