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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

Fusion of Five Satellite-Derived Products Using Extremely Randomized Trees to Estimate Terrestrial Latent Heat Flux over Europe

TL;DR: Compared with three other machine learning fusion models, Gradient Boosting Regression Tree (GBRT), Random Forest (RF), and Gaussian Process Regression (GPR), ETR exhibited the best performance in terms of both training and validation accuracy.
Journal ArticleDOI

A method to estimate diurnal surface soil heat flux from MODIS data for a sparse vegetation and bare soil

TL;DR: Li et al. as mentioned in this paper proposed a mathematical method based on a one-dimensional diffusion equation to derive diurnal variation of surface soil heat flux using cloudless MODIS data for a sparse vegetation and bare soil.
Journal ArticleDOI

Influence of mulched drip irrigation on landscape scale evapotranspiration from farmland in an arid area

TL;DR: In this article, an improved Surface Energy Balance Algorithm for Land (SEBAL) model was used to evaluate ET for the two periods of an oasis at Sangong River Basin in the arid region of Northwest China.
Journal ArticleDOI

Integrated Drought Watch System: A Case Study in Southern Italy

TL;DR: In this paper, an integrated drought watch system aimed at analysing and forecasting the effects produced by prolonged water deficit periods has been developed in southern Italy using GIS technologies integrated with tele-metering network, hydrological databases and distributed water balance models, it allows the analysis of different aspects of the wider drought phenomenon.
Journal ArticleDOI

Elevation-dependent sensible heat flux trend over the Tibetan Plateau and its possible causes

TL;DR: In this article, the elevation-dependent sensible heat (SH) flux trend over the Tibetan Plateau (TP) was investigated and it was shown that the SH variation associated with the change in Ts-Ta may be influenced primarily by the diminution in sunshine duration and snow depth at higher-altitude regions, and the latter is particularly important.
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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