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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.

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Citations
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Journal ArticleDOI

Consistency between hydrological model, large aperture scintillometer and remote sensing based evapotranspiration estimates for a heterogeneous catchment

TL;DR: In this paper, the authors estimate the evapotranspiration rates (or its energy equivalent, the latent heat fluxes LE) for a heterogeneous catchment of 102.3 km2 in Belgium using three fundamentally different algorithms.
Book ChapterDOI

Operational Remote Sensing of ET and Challenges

TL;DR: In this paper, the authors showed that the current 16-day overpass return time of a single Landsat satellite is often insufficient to produce annual evapotranspiration (ET) due to impacts of clouds.
Journal ArticleDOI

Quantifying outdoor water consumption of urban land use/land cover: sensitivity to drought.

TL;DR: To quantify outdoor water consumption of different land use and land cover types, and compare the spatio-temporal variation in water consumption between drought and wet years, an energy balance model was applied to Landsat 5 TM time series images to estimate daily and seasonal ET.
Journal ArticleDOI

Assessment of daily actual evapotranspiration with SEBAL and S-SEBI algorithms in cotton crop

TL;DR: In this article, the authors evaluated the daily ET accuracy obtained by remote sensing algorithms in comparison with measurements in situ, and the comparison between the estimated values by Remote Sensing algorithms and the measured values in situ showed that the methods (SEBAL and S-SEBI) presented satisfactory results.
Journal ArticleDOI

Estimating hourly crop ET using a two-source energy balance model and multispectral airborne imagery

TL;DR: In this paper, the authors used very high-resolution aircraft images acquired using the Utah State University airborne multispectral system to evaluate remote sensing (RS)-based surface energy balance models.
References
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Journal ArticleDOI

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.
Journal ArticleDOI

A Revised Land Surface Parameterization (SiB2) for Atmospheric GCMS. Part I: Model Formulation

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.
Journal ArticleDOI

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.
Journal ArticleDOI

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.
Journal ArticleDOI

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.
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