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Normalization of the crop water stress index to assess the within-field spatial variability of water stress sensitivity

机译:作物水分应激指数的正常化,以评估水分应激灵敏度的现场空间变异性

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This paper presents a novel methodology for identifying homogeneous areas within high-frequency drip-irrigated orchards and for defining the most sensitive and resistant areas of the field to water stress. The methodology proposed here is based on the assessment of water status at the tree level during mild water stress using remote sensing derived indicators which provide valuable information about the spatial distribution of the response to water stress within an orchard. The areas more resistant to water stress will maintain a good water status, while those prone to water stress will develop initial symptoms of water deficit. The study was performed over three different peach orchards that were evaluated from 2 to 3 years. Water status was monitored using high-resolution thermal imagery acquired before and after the onset of water stress. The Thermal Sensitivity Index (TSI), derived from the difference of the CWSI and the cumulated reference evapotranspiration between the two dates, demonstrated to be well related to the increase of stem water potential. The spatial distribution of TSI enables the identification of sensitive areas within a peach orchard, a first step for establishing precision drip irrigation programs.
机译:本文提出了一种新的方法,用于识别高频滴灌果园内的同质区域,并确定田间对水分胁迫最敏感和抵抗力最强的区域。本文提出的方法基于使用遥感衍生指标评估轻度水分胁迫期间树木水平的水分状况,这些指标提供了关于果园内水分胁迫响应的空间分布的宝贵信息。更能抵抗水分胁迫的区域将保持良好的水分状况,而容易遭受水分胁迫的区域将出现缺水的初始症状。这项研究在三个不同的桃园进行,评估时间为2至3年。利用在水分胁迫开始前后获得的高分辨率热成像监测水分状况。根据两个日期之间CWSI和累积参考蒸散量的差异得出的热敏感指数(TSI)证明与茎水势的增加密切相关。TSI的空间分布可以识别桃园内的敏感区域,这是建立精确滴灌计划的第一步。

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