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
Global water cycle and remote sensing big data: overview, challenge, and opportunities
TL;DR: In this paper, the Earth's water cycle involves energy exchange and mass movement in the hydrosphere and thus sustains the dynamic balance of global hydrologic cycle and all water cycle variables on the Earth are cl...
Journal ArticleDOI
Simplified SEBAL method for estimating vast areal evapotranspiration with MODIS data
TL;DR: In this paper, the authors proposed a simplified method to modify the traditional SEBAL model for calculating the 24-hour evapotranspiration ( ET daily ) in the Haihe Basin with data from 34 weather stations.
Journal ArticleDOI
Use of remote sensing and long-term in-situ time-series data in an integrated hydrological model of the Central Kalahari Basin, Southern Africa
M. Lekula,Maciek W. Lubczynski +1 more
TL;DR: In this paper, a remote sensing-based integrated hydrological model (IHMs) for the Central Kalahari Basin (CKB) was used to evaluate groundwater-resource dynamics and replenishment in arid and semi-arid developing countries.
Journal Article
Net radiation estimation under pasture and forest in Rondônia, Brazil, with TM Landsat 5 images
TL;DR: In this paper, the spatial distribution of net radiation (R N ) in two contrasting vegetation covers (forest and pasture) through the SEBAL algorithm, and to analyze its performance when applied to tropical humid atmospheric conditions.
Journal ArticleDOI
A Bayesian analysis of sensible heat flux estimation: Quantifying uncertainty in meteorological forcing to improve model prediction
TL;DR: In this paper, the influence of uncertainty in land surface temperature, air temperature, and wind speed on the estimation of sensible heat flux was analyzed using a Bayesian inference technique applied to the SEBS model.
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
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.