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首页> 外文期刊>Journal of Hydrology >Deriving daily evapotranspiration from remotely sensed instantaneous evaporative fraction over olive orchard in semi-arid Morocco
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Deriving daily evapotranspiration from remotely sensed instantaneous evaporative fraction over olive orchard in semi-arid Morocco

机译:从半干旱摩洛哥橄榄园上的遥感瞬时蒸发量得出每日蒸散量

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Hydrology and crop water management require daily values of evapotranspiration ET at different time-space scale. Sun synchronous optical remote sensing, which allows for the assessment of ET with high to moderate spatial resolution, provides instantaneous estimates during satellites overpass. Then, usual solutions consist of extrapolating instantaneous to daily values by assuming that evaporative fraction EF is constant throughout the day, providing that daily available energy AE is known. The current study aims at deriving daily ET values from ASTER derived instantaneous estimates, over an olive orchard in a semi-arid region of Moroccan. It has been shown that EF is almost constant under dry conditions, but it depicts a pronounced concave up shape under wet conditions. A new heuristic parameterization is then proposed, which is based on the combination of routine daily meteorological data for characterizing atmospheric dependence, and on optical remote sensing based estimates of instantaneous EF values to take into account the dependence on soil and vegetation conditions. Using the same type of approach, a similar parameterization is next developed for AE. The validation of both approaches shows good performances. The overall method is finally applied to ASTER data. Though performances are reasonably good, their moderate reduction is ascribed to errors on remotely sensed variables. Future-works will focus on method portability since its empirical formulation does not account for the direct stomata[ response to water availability, as well as on application over different surface and climate conditions.
机译:水文和作物水管理需要不同时空尺度上的蒸散量ET的每日值。 Sun同步光学遥感技术可以以高至中等的空间分辨率评估ET,并在卫星越过期间提供瞬时估计。然后,通常的解决方案是通过假设每天的蒸发分数EF恒定,并假设每日可用能量AE已知,将瞬时值外推到每日值。当前的研究旨在从摩洛哥半干旱地区橄榄园上的ASTER瞬时估算值中得出每日ET值。已经表明,EF在干燥条件下几乎是恒定的,但是在潮湿条件下却表现出明显的凹形。然后提出了一种新的启发式参数化方法,该方法基于用于表征大气依赖性的常规每日气象数据的组合,以及基于光学遥感的瞬时EF值的估计,以考虑对土壤和植被条件的依赖性。使用相同类型的方法,接下来将为AE开发类似的参数化。两种方法的验证均显示出良好的性能。最终将整个方法应用于ASTER数据。尽管性能相当不错,但它们的适度降低归因于遥感变量的错误。未来的工作将侧重于方法的可移植性,因为其经验公式化并未考虑直接的气孔[对水的可利用性的响应],以及在不同地表和气候条件下的应用。

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