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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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Mapping daily evapotranspiration over a large irrigation district from MODIS data using a novel hybrid dual-source coupling model

TL;DR: In this article, a new model, referred to as the HTEM-ABL model, is developed by coupling the Hybrid dual-source scheme and Trapezoid framework-based ET Model (HTEM) with a simple atmospheric boundary layer (ABL) model for ET estimation without ancillary air temperature observations.
Journal Article

ETWatch: models and methods

TL;DR: The reviewing of algorithms and approaches show that the parametric approach is the core component to improve the accuracy of ET estimation at regional scale and apply remote sensed ET for practical goals.
Journal ArticleDOI

Sustainable fresh water resources management in northern Kuwait—A remote sensing view from Raudatain basin

TL;DR: If the available quantity of precipitation can be successfully utilized, it will reduce considerable pressure on desalination, which leads to increased salinity at the coast in Arabian Gulf.
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Implications of non-sustainable agricultural water policies for the water-food nexus in large-scale irrigation systems: A remote sensing approach

TL;DR: In this article, a novel monitoring tool based on Satellite Remote Sensing (SRS) data to examine the status of water distribution and Water Use Efficiency (WUE) under changing water policies in large-scale and complex irrigation schemes is proposed.
Journal ArticleDOI

Benchmarking Optical/Thermal Satellite Imagery for Estimating Evapotranspiration and Soil Moisture in Decision Support Tools

TL;DR: In this article, the authors benchmark three existing hydrologic decision support tools with the following benchmarks: annual evapotranspiration (ET) maps derived from optical/thermal Landsat and MODIS satellite imagery, and the average annual groundwater recharge for the Distributed Parameter Watershed Model used by Daniel B. Stephens & Associates.
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.
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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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