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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.
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.

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Posted ContentDOI

Remote sensing techniques for predicting evapotranspiration from mixed vegetated surfaces

TL;DR: In this paper, a review describes general remote sensing-based approaches to estimate evapotranspiration (ET) and their pros and cons in mixed landscape vegetation environs, considering the fact that most of them need extensive time investment, medium to high level of skills and are quite expensive.
Book ChapterDOI

Land Surface Temperature

Zhengpeng Li, +1 more
TL;DR: A review of the current status of LST retrieval algorithms from satellite TIR data is given in this article, where the temporal normalization methods of satellite derived LST and the methods used to validate satellite-derived LST are also suggested.

Toward optimal water management in Colorado's Lower Arkansas River Valley : monitoring and modeling to enhance agriculture and environment

TL;DR: For several years, Colorado State University has been documenting flow and water quality conditions in Colorado's Lower Arkansas River Valley with the goal of providing data and models that water users and managers can use to enhance both agriculture and the environment in the Valley as discussed by the authors.
Proceedings ArticleDOI

Mapping sensible and latent heat fluxes in arid areas using optical imagery

TL;DR: In this article, the Surface Energy Balance Algorithm for Land (SEBAL) is selected to estimate sensible and latent heat fluxes at 30 m resolution in the riparian areas of the Middle Rio Grande Basin (New Mexico), San Pedro River (Arizona) and Owens Valley (California).
Journal ArticleDOI

Observations of synoptic-scale land surface variability and its coupling with the atmosphere

TL;DR: In this article, a composite of anomalously warm (and dry) surface conditions with spatial coherence over a given longitude band is constructed from satellite data covering a single wet season.
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

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.
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