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首页> 外文期刊>Remote Sensing >Estimation of Evapotranspiration and Crop Coefficients of Tendone Vineyards Using Multi-Sensor Remote Sensing Data in a Mediterranean Environment
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Estimation of Evapotranspiration and Crop Coefficients of Tendone Vineyards Using Multi-Sensor Remote Sensing Data in a Mediterranean Environment

机译:在地中海环境中使用多传感器遥感数据估算滕德葡萄园的蒸散量和作物系数

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摘要

The sustainable management of water resources plays a key role in Mediterranean viticulture, characterized by scarcity and competition of available water. This study focuses on estimating the evapotranspiration and crop coefficients of table grapes vineyards trained on overhead “tendone” systems in the Apulia region (Italy). Maximum vineyard transpiration was estimated by adopting the “direct” methodology for ETp proposed by the Food and Agriculture Organization in Irrigation and Drainage Paper No. 56, with crop parameters estimated from Landsat 8 and RapidEye satellite data in combination with ground-based meteorological data. The modeling results of two growing seasons (2013 and 2014) indicated that canopy growth, seasonal and 10-day sums evapotranspiration values were strictly related to thermal requirements and rainfall events. The estimated values of mean seasonal daily evapotranspiration ranged between 4.2 and 4.1 mm·d?1, while midseason estimated values of crop coefficients ranged from 0.88 to 0.93 in 2013, and 1.02 to 1.04 in 2014, respectively. The experimental evapotranspiration values calculated represent the maximum value in absence of stress, so the resulting crop coefficients should be used with some caution. It is concluded that the retrieval of crop parameters and evapotranspiration derived from remotely-sensed data could be helpful for downscaling to the field the local weather conditions and agronomic practices and thus may be the basis for supporting grape growers and irrigation managers.
机译:水资源的可持续管理在地中海葡萄栽培中起着关键作用,其特点是可用水的稀缺和竞争。这项研究的重点是估算在意大利普利亚地区的架空“ tendone”系统上训练的食用葡萄葡萄园的蒸散量和作物系数。通过采用粮食及农业组织第56号灌溉和排水论文中提出的ET p “直接”方法,估算了最大的葡萄园蒸腾量,并根据Landsat 8和RapidEye卫星数据估算了作物参数。结合地面气象数据。两个生长季节(2013年和2014年)的模拟结果表明,冠层生长,季节和10天总蒸发蒸腾值与热量需求和降雨事件严格相关。平均季节性日蒸发蒸腾量的估计值在4.2和4.1 mm·d ?1 之间,而作物系数的中期季节估计值在2013年为0.88至0.93,在2014年为1.02至1.04。计算得出的实验蒸散量代表在没有压力的情况下的最大值,因此应谨慎使用所得的作物系数。结论是,从遥感数据中获得的作物参数和蒸散量的检索可能有助于将当地的天气条件和农艺方法缩减到田间,因此可能是支持葡萄种植者和灌溉管理者的基础。

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