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首页> 外文期刊>Agricultural Water Management >Combining FAO-56 model and ground-based remote sensing to estimate water consumptions of wheat crops in a semi-arid region
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Combining FAO-56 model and ground-based remote sensing to estimate water consumptions of wheat crops in a semi-arid region

机译:结合FAO-56模型和地面遥感,估算半干旱地区小麦作物的耗水量

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This study was performed to test three methods based on the FAO-56 ''dual'' crop coefficient approach to estimate actual evapotranspiration (AET) for winter wheat under different irrigation treatments in the semi-arid region of Tensift Al Haouz, Marrakech (center of Morocco). The three methods differ in the calculation of the basal crop coefficient (K sub(c) sub(b)) and the fraction of soil surface covered by vegetation (f sub(c)). The first approach strictly follows the FAO-56 procedure, with K sub(c) sub(b) given in the FAO-56 tables and f sub(c) calculated from K sub(c) sub(b) (No-Calibration method). The second method uses local K sub(c) sub(b) and f sub(c) values estimated from field measurements (Local-Calibration method) and the last approach uses a remotely-sensed vegetation index to estimate K sub(c) sub(b) and f sub(c) (NDVI-Calibration method). The analysis was performed on three fields using actual (AET) measured by Eddy Correlation systems. It was shown that the Local-Calibration approach gave best results. Accurate estimates of K sub(c) sub(b) and f sub(c) were necessary for FAO-56 ''dual'' crop coefficient application. The locally derived K sub(c) sub(b) for winter wheat taken at initial, mid-season, and maturity crop growth were 0.15, 0.90 and 0.23, respectively. The K sub(c) sub(b) value at the mid-season stage was found to be considerably less than that suggested by the FAO-56. Similarity between the seasonal pattern of normalized difference vegetation index (NDVI) and K sub(c) sub(b) showed potential for modelling NDVI into a K sub(c) sub(b). The obtained relationships between K sub(c) sub(b) and NDVI, and between f sub(c) and NDVI could be easily incorporated within the FAO-56 ''dual'' crop coefficient model and, thereby, provide a means to apply remotely sensed observation for real-time wheat irrigation scheduling. The results obtained were very acceptable especially when the soil evaporation is negligible. Therefore, the K sub(c) sub(b)-NDVI relationship employed in the FAO-56 ''dual'' crop coefficient model holds great potential for estimating crop water requirements on an operational basis and consumption at a regional scale.
机译:这项研究的目的是测试基于FAO-56“双季”作物系数法的三种方法,以估算马拉喀什Tensift Al Haouz半干旱地区(中心)不同灌溉方式下冬小麦的实际蒸散量(AET)摩洛哥)。这三种方法在计算基础作物系数(K sub(c)sub(b))和植被覆盖的土壤表面分数(f sub(c))方面有所不同。第一种方法严格遵循FAO-56程序,在FAO-56表中给出了K sub(c)sub(b),从k sub(c)sub(b)计算出f sub(c)(无校准方法) )。第二种方法使用根据实地测量估计的局部K sub(c)sub(b)和f sub(c)值(Local-Calibration方法),最后一种方法使用遥感植被指数估算K sub(c)sub (b)和f sub(c)(NDVI校准方法)。使用涡流相关系统测量的实际(AET)在三个字段上进行了分析。结果表明,本地校准方法可提供最佳结果。准确估算K sub(c)sub(b)和f sub(c)对于应用FAO-56“双重”作物系数是必要的。在作物生长初期,中期和成熟期获取的冬小麦本地衍生的K sub(c)sub(b)分别为0.15、0.90和0.23。季中阶段的K sub(c)sub(b)值被发现大大低于FAO-56的建议。归一化差异植被指数(NDVI)和K sub(c)sub(b)的季节性模式之间的相似性显示出将NDVI建模为K sub(c)sub(b)的潜力。获得的K sub(c)sub(b)与NDVI之间的关系以及f sub(c)与NDVI之间的关系可以轻松地纳入FAO-56“双”作物系数模型中,从而提供了一种手段将遥感观测数据用于小麦实时灌溉计划。所获得的结果是非常可接受的,尤其是当土壤蒸发量可以忽略不计时。因此,在FAO-56“双重”作物系数模型中采用的K sub(c)sub(b)-NDVI关系具有巨大的潜力,可用于根据业务基础和区域范围的消耗量估算作物需水量。

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