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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.
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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

Retrieval of evapotranspiration over the Alpilles/ReSeDA experimental site using airborne POLDER sensor and a thermal camera

TL;DR: In this article, the potential of the evaporative fraction based on the simplified surface energy balance index (SEBI) concept for estimating instantaneous evapotranspiration is assessed and a feasible and operational method is developed, which allows mapping instantaneous and daily evapOTranspiration over the Alpilles ReSeDA (Remote Sensing Data Assimilation) experimental area.
Journal ArticleDOI

Estimating actual irrigation application by remotely sensed evapotranspiration observations

TL;DR: In this paper, an innovative inverse modeling approach was tested for a field in an irrigation scheme in southern Spain where observed actual evapotranspiration by satellites was used to assess irrigation application amounts.
Journal ArticleDOI

Decadal monitoring of the Niger Inner Delta flood dynamics using MODIS optical data

TL;DR: In this paper, a semi automated method exploiting 526 MODIS (Moderate Resolution Imaging Spectroradiometer) 8-day 500 m resolution images was developed to study the spatial and temporal dynamics of the annual flood across the Niger Inner Delta over the period 2000-2011.
Journal ArticleDOI

Evapotranspiration modelling at large scale using near-real time MSG SEVIRI derived data

TL;DR: In this paper, an evapotranspiration (ET) model developed in the framework of the EUMETSAT "Satellite Application Facility" on Land Surface Analysis (LSA) is presented.
Journal ArticleDOI

Variational estimation of soil and vegetation turbulent transfer and heat flux parameters from sequences of multisensor imagery

TL;DR: In this article, a variational assimilation of land surface temperature (LST) into a surface energy balance model with dual-source soil and vegetation flux components is proposed, which is based on variational data assimilation.
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.
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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.
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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.
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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