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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

Evaluation of three complementary relationship approaches for evapotranspiration over the Yellow River basin

TL;DR: In this article, three complementary relationship approaches, namely the Advection-Aridity (AA) model, the Complementary Relationship Areal Evapotranspiration (CRAE) model and the Granger (G) model were evaluated with the observations over the Yellow River basin during 1981-2000.
Journal ArticleDOI

Operational Global Actual Evapotranspiration: Development, Evaluation, and Dissemination

TL;DR: Evaluation of the SSEBop ETa data indicated reasonable performance in capturing seasonality with a correlation coefficient up to 0.87, however, the modeled ETa seemed to show regional biases whose natures and magnitudes require a comprehensive investigation using complete water budgets and more quality-controlled EC station datasets.
Journal ArticleDOI

Estimation of crop evapotranspiration through spatial distributed crop coefficient in a semi-arid environment

TL;DR: In this article, the authors have estimated the actual evapotranspiration (ETc) based on spatially distributed crop coefficient (Kc) and open access earth observing datasets in a semi-arid environment.
Journal ArticleDOI

Recent advance in earth observation big data for hydrology

TL;DR: In the past three decades, breakthroughs in satellites and remote sensing have highly demonstrated their potential to characterize and model the various components of the hydrological cycle as mentioned in this paper, and a weal...
Journal ArticleDOI

Estimating evapotranspiration of pistachio crop based on SEBAL algorithm using Landsat 8 satellite imagery

TL;DR: In this article, the authors investigated the efficiency of SEBAL algorithm in estimating the actual evapotranspiration (ET) of a 100 hectares pistachio farm, located in Safaeieh region in the Semnan province, Iran, was selected as the study area.
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.
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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.
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