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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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Preliminary investigation of catchment hydrology in response to agricultural water use innovations: A case study of the Potshini catchment – South Africa

TL;DR: In this paper, the authors investigated the biophysical consequences at different spatial and temporal scales in the Thukela river basin, of increased productivity in smallholder rainfed agriculture enabled through adoption at larger spatial scale of integrated land use management and water use system innovations.
Journal ArticleDOI

A method to downscale soil moisture to fine resolutions using topographic, vegetation, and soil data

TL;DR: In this article, a downscaling model that uses fine-resolution topographic, vegetation, and soil data is presented, and the method is tested at the Cache la Poudre catchment.
Journal ArticleDOI

Impacts of satellite-based precipitation datasets on rainfall–runoff modeling of the Western Amazon basin of Peru and Ecuador

TL;DR: In this article, the authors evaluated three satellite precipitation datasets (TMPA, CMORPH, PERSIANN), as well as a dataset based only on rain gauge data (HYBAM), and their impacts on the water balance of the Western Amazon basin.
Journal ArticleDOI

Quantifying the uncertainty in estimates of surface-atmosphere fluxes through joint evaluation of the SEBS and SCOPE models

TL;DR: In this article, the authors proposed a method to estimate the daily evapotranspiration from remote sensing data by using soil-vegetation-atmosphere transfer (SVAT) models.
Journal ArticleDOI

Soil water content estimation using a remote sensing based hybrid evapotranspiration modeling approach

TL;DR: In this paper, a hybrid approach is applied to irrigated and non-irrigated cotton fields at the BEAREX08 experimental site using airborne remote sensing inputs under highly advective conditions, taking advantage of available root zone soil water content measurements for verification of model output.
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.
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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