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Irrigation water use monitoring at watershed scale using series of high-resolution satellite images

机译：使用一系列高分辨率卫星图像在流域范围内监控灌溉用水

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The integration of time series of high-resolution remote sensing images in the FAO crop evapotranspiration (ET) model is receiving growing interest in the last years, specially for operational applications in irrigated areas. In this study, a simplified methodology to estimate actual ET for these areas in large watersheds was developed. Then it was applied to the Guadalquivir river watershed (Southern Spain) in the 2007 and 2008 irrigation seasons. The evolution of vegetation indices, obtained from 10 Landsat and IRS images per season, was used for two purposes. Firstly, it was used for identifying crop types based on a classification algorithm. This algorithm used training data from a screened subset of the information declared by farmers for EU agriculture subsidies purposes. Secondly, the vegetation indices were used to obtain basal crop coefficients (K_(cb), the component of the crop coefficient that represents transpiration). The last step was the parameterization of the influence of evaporation from the soil surface, considering the averaged effect of a given rain distribution and irrigation schedule. The results showed only small discrepancies between the crop coefficients calculated using the simplified model and those calculated based on a soil water balance and the dual approach proposed by FAO. Therefore, it was concluded that the simplified method can be applied to large irrigation areas where detailed information about soils and/or water applied by farmers lacks.
机译：在过去的几年中，将高分辨率遥感图像的时间序列与粮农组织作物蒸散模型结合起来的兴趣日益浓厚，特别是在灌溉地区的业务应用中。在这项研究中，开发了一种简化的方法来估算大流域这些地区的实际ET。然后将其应用于2007年和2008年灌溉季节的瓜达尔基维尔河分水岭（西班牙南部）。从每个季节从10幅Landsat和IRS图像获得的植被指数演变用于两个目的。首先，它基于分类算法用于识别农作物类型。该算法使用了从农民出于欧盟农业补贴目的而宣布的信息中筛选出的一部分的训练数据。其次，利用植被指数获得基础作物系数（K_（cb），代表蒸腾作用的作物系数的组成部分）。最后一步是考虑到给定的降雨分布和灌溉计划的平均影响，对土壤表面蒸发影响的参数化。结果表明，使用简化模型计算出的作物系数与根据土壤水分平衡和粮农组织提出的双重方法计算出的作物系数之间只有很小的差异。因此，得出的结论是，简化的方法可以应用于缺少有关农民使用的土壤和/或水的详细信息的大型灌溉地区。

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