Estimation of crop evapotranspiration from drone flights

Vicente Quezada
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Abstract

In this work, a two-source decoupling model called "STSEB" (Simplified Two-Source Energy Balance) is applied, whose purpose, through local information on air temperature, meteorology, topography, as well as additional data in situ, is to calculate the crop evapotranspiration through multispectral and thermal images obtained from a drone.The foregoing, with the purpose of classifying the priority irrigation areas of a plot of almond trees and being able to compare the results with the current planning of water treatments obtained by means of precision agriculture instruments. At the end of the work, it was possible to determine that there is an accuracy of 75% between the irrigation treatment plan of the administrators of the plot and the one obtained through the application of remotesensing techniques.
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无人机飞行估算作物蒸散量
在这项工作中,应用了一种名为“STSEB”(简化双源能量平衡)的双源解耦模型,其目的是通过当地的气温、气象、地形信息以及其他现场数据,通过无人机获得的多光谱和热图像计算作物的蒸散量。上述内容的目的是对一块杏树的优先灌溉区域进行分类,并能够将结果与目前通过精密农业仪器获得的水处理规划进行比较。在工作结束时,有可能确定该地块管理员的灌溉处理计划与通过应用遥感技术获得的灌溉处理计划之间的准确性为75%。
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