Journal ArticleDOI
A remote sensing surface energy balance algorithm for land (SEBAL)-1. Formulation
TLDR
The Surface Energy Balance Algorithm for Land (SEBAL) as mentioned in this paper estimates the spatial variation of most essential hydro-meteorological parameters empirically, and requires only field information on short wave atmospheric transmittance, surface temperature and vegetation height.About:
This article is published in Journal of Hydrology.The article was published on 1998-12-01. It has received 2628 citations till now. The article focuses on the topics: SEBAL & Land cover.read more
Citations
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Journal ArticleDOI
Estimating net irrigation requirement of winter wheat using model- and satellite-based single and basal crop coefficients
TL;DR: In this paper, Kc curves of early and late-planted winter wheat were obtained based on two main satellite-based methods: (1) ratio approach (2) vegetation indices (VIs) approach.
Journal ArticleDOI
Geospatial Techniques for Improved Water Management in Jordan
TL;DR: In this paper, a case from Jordan where geospatial techniques were utilized for irrigation water auditing was presented, where mapping of irrigated areas and crop water requirements was carried out using remote sensing data of Landsat 8 and daily weather records.
Journal ArticleDOI
Impact of the spatial resolution on the energy balance components on an open-canopy olive orchard
Juan Miguel Ramírez-Cuesta,Richard G. Allen,Pablo J. Zarco-Tejada,Ayse Kilic,C. Santos,Ignacio J. Lorite +5 more
TL;DR: Results obtained confirm the good performance of METRIC model when used with high spatial resolution imagery, whereas they warn of some major errors in crop evapotranspiration estimation when medium or large scales are used.
Journal ArticleDOI
Evapotranspiration Estimation with Small UAVs in Precision Agriculture.
TL;DR: Different UAV-based approaches of ET estimation, such as mapping evapotranspiration at high resolution with internalized calibration (METRIC), the two-source energy balance (TSEB) model, and machine learning (ML) are analyzed and discussed herein.
Journal ArticleDOI
Application of Landsat to Evaluate Effects of Irrigation Forbearance
TL;DR: Four Landsat scenes of the Wood River Valley during the 2004 growing season were evaluated using reconstructed METRIC algorithms and excellent net radiation estimates, along with reasonable estimates of the other components, are demonstrated along with the capability to integrate results to the basin scale.
References
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The Interpretation of the Variations in Leaf Water Potential and Stomatal Conductance Found in Canopies in the Field
TL;DR: In this paper, the stomatal conductance of illuminated leaves is a function of current levels of temperature, vapour pressure deficit, leaf water potential (really turgor pressure) and ambient CO $_2$ concentration and when plotted against any one of these variables a scatter diagram results.
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A Revised Land Surface Parameterization (SiB2) for Atmospheric GCMS. Part I: Model Formulation
Piers J. Sellers,David A. Randall,G. J. Collatz,Joseph A. Berry,Christopher B. Field,D. A. Dazlich,Changan Zhang,G.D. Collelo,Lahouari Bounoua +8 more
TL;DR: In this paper, a revised version of the Simple Biosphere model (SiB2) is presented, incorporating a realistic canopy photosynthesis-conductance model to describe the simultaneous transfer of CO2 and water vapor into and out of the vegetation, respectively.
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Flux Parameterization over Land Surfaces for Atmospheric Models
TL;DR: In this article, a summary of observations and modeling efforts on surface fluxes, carried out at Cabauw in The Netherlands and during MESOGERS-84 in the south of France, is given.
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Footprint prediction of scalar fluxes from analytical solutions of the diffusion equation
TL;DR: The use of analytical solutions of the diffusion equation for "footprint prediction" is explored in this paper, where the upwind area most likely to affect a downwind flux measurement at a given height is compared.
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Wheat canopy temperature: A practical tool for evaluating water requirements
TL;DR: In this paper, the authors used a sliding cubic smoothing technique to calculate daily water contents and thus water depletion rates for the entire growing season and used this to predict water use by wheat in six differentially irrigated plots.