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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Book ChapterDOI
A Calibration-Free Evapotranspiration Mapping (CREMAP) Technique
TL;DR: In this article, the complementary relationship of evaporation was formulated for practical regional-scale applications by Brutsaert & Stricker (1979), and Morton et al. (1985).
Book ChapterDOI
Evaporative Processes on Vegetation: An Inside Look Open image in new window
TL;DR: In this article, the authors make use of new sensing techniques that allow identifying the rainfall, energy, and evaporation partitioning in a forest, which will help to improve the accuracy of forest evapore prediction.
Journal ArticleDOI
Estimating Evapotranspiration from an Improved Two-Source Energy Balance Model Using ASTER Satellite Imagery
Qifeng Zhuang,Bingfang Wu +1 more
TL;DR: In this article, an improved two-source energy balance (TSEB) model was proposed to estimate the latent and sensible heat flux at the Earth's surface by remote sensing, which is important for research on the terrestrial hydrological cycle.
Journal ArticleDOI
Observational uncertainties in hypothesis testing: investigating the hydrological functioning of a tropical catchment
TL;DR: It is concluded that observational uncertainties need to be accounted for in hypothesis testing to reduce the risk of drawing incorrect conclusions.
Journal ArticleDOI
agriwater: An R package for spatial modelling of energy balance and actual evapotranspiration using satellite images and agrometeorological data
César de Oliveira Ferreira Silva,Antônio Heriberto de Castro Teixeira,Rodrigo Lilla Manzione +2 more
TL;DR: An R package called “agriwater” was created in order to obtain the energy balance on the soil and actual evapotranspiration using satellite imagery and agrometeorological data.
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.
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.