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
Satellite based analysis of northern ET trends and associated changes in the regional water balance from 1983 to 2005
TL;DR: In this paper, an evapotranspiration (ET) algorithm was used to assess spatial patterns and temporal trends in ET over the pan-Arctic basin and Alaska from 1983 to 2005.
Journal ArticleDOI
Remote Sensing Sensors and Applications in Environmental Resources Mapping and Modelling.
TL;DR: The history of remote sensing and development of different sensors for environmental and natural resources mapping and data acquisition, and application examples in urban studies, hydrological modeling, and micro-topography correlation studies are reviewed.
Journal ArticleDOI
Satellite surveillance of evaporative depletion across the Indus Basin
Wim G.M. Bastiaanssen,Wim G.M. Bastiaanssen,Mobin-ud-Din Ahmad,Mobin-ud-Din Ahmad,Yann Chemin +4 more
TL;DR: In this article, the Surface Energy Balance Algorithm for Land (SEBAL) method was used to compute actual evapotranspiration for large areas based on public domain National Oceanic and Atmospheric Administration (NOAA) satellite data.
Journal ArticleDOI
Inroads of remote sensing into hydrologic science during the WRR era
TL;DR: The first issue of the Water Balance Journal (WRR) appeared eight years after the launch of Sputnik and only seven papers that used remote sensing had appeared by the journal's 25th anniversary as discussed by the authors.
Journal ArticleDOI
A simple method to estimate actual evapotranspiration from a combination of net radiation, vegetation index, and temperature
TL;DR: In this paper, a simple regression equation is proposed to estimate global or regional evapotranspiration (ET) using remote sensing data, which can predict ET under a wide range of soil moisture contents and land cover types.
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.
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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.