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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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Journal ArticleDOI

Improvements to a MODIS global terrestrial evapotranspiration algorithm

TL;DR: In this article, an improved version of the global evapotranspiration (ET) algorithm based on MODIS and global meteorology data has been proposed, which simplifies the calculation of vegetation cover fraction, calculating ET as the sum of daytime and nighttime components, adding soil heat flux calculation, improving estimates of stomatal conductance, aerodynamic resistance and boundary layer resistance, separating dry canopy surface from the wet and dividing soil surface into saturated wet surface and moist surface.
Journal ArticleDOI

Satellite-Based Energy Balance for Mapping Evapotranspiration with Internalized Calibration (METRIC)—Model

TL;DR: METRIC uses as its foundation the pioneering SEBAL energy balance process developed in The Netherlands by Bastiaanssen, where the near-surface temperature gradients are an indexed function of radiometric surface temperature, thereby eliminating the need for absolutely accurate surface temperature and theneed for air-temperature measurements.
Journal ArticleDOI

Satellite-derived land surface temperature: Current status and perspectives

TL;DR: A review of the current status of selected remote sensing algorithms for estimating land surface temperature from thermal infrared (TIR) data is presented in this article, along with a survey of the algorithms employed for obtaining LST from space-based TIR measurements.
Journal ArticleDOI

Development of a global evapotranspiration algorithm based on MODIS and global meteorology data

TL;DR: In this article, the authors developed a global remote sensing evapotranspiration (ET) algorithm based on Cleugh et al.'s [Cleugh, H.A., R. Leuning, Q. Mu, S.W. Running (2007) Regional evaporation estimates from flux tower and MODIS satellite data.
Journal ArticleDOI

Estimating Land Surface Evaporation: A Review of Methods Using Remotely Sensed Surface Temperature Data

TL;DR: In this article, the authors present a review of methods for estimating evaporation from landscapes, regions and larger geographic extents, with remotely sensed surface temperatures, and highlight uncertainties and limitations associated with those estimation methods.
References
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Journal ArticleDOI

Application of satellite remote sensing to estimate areal evapotranspiration over a watershed

TL;DR: In this paper, a method for estimating areal evapotranspiration by using synoptical weather data and satellite imagery is presented, which is applied in southwestern Finland over the Eurajoki River basin.
Journal ArticleDOI

Understanding land surface evapotranspiration with satellite multispectral measurements

TL;DR: In this paper, a simple two-layer combination-type model is used to study and map land surface evapotranspiration, which is applicable to both vegetation and bare soil.
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Relationship of multispectral satellite data to land surface evaporation from the Australian continent

TL;DR: In this article, satellite indices of vegetation from the Australian continent were calculated for the period of May 1986 to April 1987 based on NOAA-9 AVHRR and Nimbus-7 SMMR satellite data, and the microwave polarization difference was calculated as the difference between the vertically and horizontally polarized brightness temperatures at 37 GHz.
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The effect of surface reflection function and of atmospheric parameters on the shortwave radiation budget

TL;DR: In this article, the authors used measured bidirectional reflectance functions and realistic values of the optical parameters of the atmosphere to estimate the shortwave radiation budget from satellite measurements at the top and at the bottom of a cloudless atmosphere.
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