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
Remote sensing for estimating and mapping single and basal crop coefficientes: A review on spectral vegetation indices approaches
TL;DR: In this article, the authors analyze the relationship between remote sensing-based vegetation indices and the basal crop coefficient (Kc) in more complex models such as soil water balance, and the operational application of Kc-VI relationships using virtual constellations of space and aerial platforms that allow combining data from two or more sensors.
Journal ArticleDOI
Field-Scale Assessment of Land and Water Use Change over the California Delta Using Remote Sensing
Martha C. Anderson,Feng Gao,Kyle Knipper,Christopher Hain,Wayne Dulaney,Dennis D. Baldocchi,Elke Eichelmann,Kyle S. Hemes,Yun Yang,Josué Medellín-Azuara,William P. Kustas +10 more
TL;DR: An application of a remote sensing data fusion technique for developing high spatiotemporal resolution maps of evapotranspiration (ET) at scales that can be associated with changes in land use over the Sacramento-San Joaquin Delta region in California is presented.
Journal ArticleDOI
Remote sensing techniques for predicting evapotranspiration from mixed vegetated surfaces
TL;DR: In this article, a review describes general remote sensing-based approaches to estimate evapotranspiration (ET) and describes their advantages and disadvantages, in addition to combining remotely sensed vegetation indices and ground-based techniques for ET.
Journal ArticleDOI
Estimation of daily average net radiation from MODIS data and DEM over the Baiyangdian watershed in North China for clear sky days
TL;DR: In this article, a geometric model for simulating daily average direct solar radiation by accounting for the effects of terrain factors (slope, azimuth, and elevation) on the availability of solar radiation for sloping land surfaces is adopted.
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.