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Descripción
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| Evapotranspiration (ET) estimates are required for many applications in agricultural and environmental management, from hydrological applications to crop models and irrigation scheduling. Improvement in irrigation water management is achieved when crop water use is accurately quantified in time and space. Conventionally, ET can be measured using Bowen ratio energy balance systems, eddy covariance systems, surface renewal systems, weighing lysimeters and sap flows, among others. Although these techniques can provide accurate estimates of ET over a homogeneous area, they are mainly based on site measurements that are local, and cannot represent the spatial variability of ET within a field or region. Satellite data are ideally suited for deriving spatially continuous fields of ET using energy balance techniques. However for partially vegetated surfaces (i.e. orchards), the use of those techniques has been limited due to the low spatial resolution obtained from some type of sensors at the satellite platform, that difficult its utilization at a farm level. Here, the use of methodologies of images fusion that integrate information from different sensors, offer an opportunity to achieve a characterization with more detail that consistently can be used at a farm level. The main goal of this study is to evaluate the performance of a surface energy balance (SEB) model and an image fusion algorithm to estimate ET for partially vegetated surfaces. Special interest is focused in instantaneous and daily evapotranspiration. Surface energy fluxes calculated with a SEB model from both original and fused images are compared with Eddy Covariance measurements made over a blueberry and cherry orchard fields. | |
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Internacional
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Si |
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DOI
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Edición del Libro
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1 |
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Editorial del Libro
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IOS PRESS |
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ISBN
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978-88-89693-34-6 |
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Serie
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European Association of Remote Sensing Laboratories Proceedings |
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Título del Libro
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Towards Horizon 2020: Earth Observation and Social Perspectives |
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Desde página
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613 |
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Hasta página
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624 |