Estimating sensible heat flux from radiometric temperature over sparse millet

Lhomme, Jean-Paul; Monteny, Bruno; Amadou, M.

doi:10.1016/0168-1923(94)90070-1

Cited by 83 publications

(61 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…(15) requires an accurate knowledge of T s and T c , which is not easily obtainable from remote sensing systems. Lhomme et al 9 have shown that T e can be related to T r , the radiative surface temperature (K) by:…”

Section: Methodsmentioning

confidence: 99%

“…In this specific study, we will investigate the applicability of the two-layer model developed by Lhomme et al 9 over a more complicated surface. The complexities are related to the sparseness of the vegetation, the heterogeneity of the soil characteristics and, most importantly, the heterogeneity in terms of soil moisture induced by the irrigation method of flood irrigation, which has an irregular pattern in space and time.…”

Section: Introductionmentioning

confidence: 99%

“…8 Therefore, extension of the one-layer models to sparsely vegetated surfaces can produce significant errors in predicted heat fluxes. 9 In this context, much effort has been made to investigate the parameterization of heat transfer and to improve the accuracy in estimating heat fluxes over different land surface cover by developing models which explicitly treat the energy exchanges between the soil, vegetation and the overlying atmosphere. 9 Lhomme et al have considered that the soil-vegetation system can be approximated with a two-layer model where the energy fluxes are partitioned between the soil and vegetation.…”

Section: Introductionmentioning

confidence: 99%

“…9 In this context, much effort has been made to investigate the parameterization of heat transfer and to improve the accuracy in estimating heat fluxes over different land surface cover by developing models which explicitly treat the energy exchanges between the soil, vegetation and the overlying atmosphere. 9 Lhomme et al have considered that the soil-vegetation system can be approximated with a two-layer model where the energy fluxes are partitioned between the soil and vegetation. They found that the estimated heat fluxes from thermal infra-red data over the millet crop using a twolayer model showed good results compared to the use of a one-layer model which over-estimates the sensible heat flux.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Coupling soil-vegetationatmosphere- transfer model with energy balance model for estimating energy and water vapor fluxes over an olive grove in a semi-arid region

et al. 2012

View full text Add to dashboard Cite

Simple soil-vegetation-transfer (SVAT) and energy balance models were used to estimate the surface turbulent fluxes (i.e. sensible and latent heat fluxes) over a complex olive grove using thermal infra-red surface temperature (TIRST). This approach used a dual source SVAT model to calculate the sensible heat fluxes from radiometric surface temperature. These fluxes were then used together with the estimates of the available energy also derived from TIRST to estimate the latent heat flux by applying the first law of thermodynamics i.e. the conservation of energy principle. The data used to validate this approach were collected over an irrigated olive grove site located in central Morocco near Marrakech. Mass and energy fluxes, as well as micrometeorological parameters, were continuously measured during the year 2003. The comparison between estimated and measured daily sensible heat fluxes yielded an acceptable agreement in spite of the complexity of the study surface with a correlation coefficient (R²=0.86) and root mean square error (RMSE) of 28 Wm -2 . For the latent heat fluxes, the statistical result for the comparison between estimated and measured daily values showed a larger scatter than that revealed for the sensible heat fluxes (R²=0.75; RMSE=31.42 Wm -2 ). However, the correspondence is to be considered acceptable given the difficulty in estimating latent heat flux over such a complex field. Therefore, it can be concluded that, in spite of the simplicity of the proposed approach, it can be considered a suitable tool for estimating the turbulent fluxes using TIRST over complex surfaces.

show abstract

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Coupling soil-vegetationatmosphere- transfer model with energy balance model for estimating energy and water vapor fluxes over an olive grove in a semi-arid region

et al. 2012

View full text Add to dashboard Cite

show abstract

“…They tested the model on data collected during FIFE (Sellers et al, 1992) and Monsoon '90 (Kustas and Goodrich, 1994) and found that the model yielded uncertainties comparable to those achieved by models that do require air-temperature as input. Lhomme et al (1994) attempted to establish an empirical relationship between T s to T l . There are, however, strong indications that such relationships may vary with experimental data (Zahn et al, 1996) and that it is probably related to plant characteristics (McNaughton and van den Hurk, 1995).…”

Section: Distributed Evaluation Against Latent Heat Fluxesmentioning

confidence: 99%

Land-surface modelling in hydrological perspective – a review

2006

View full text Add to dashboard Cite

Abstract. The purpose of this paper is to provide a review of the different types of energy-based land-surface models (LSMs) and discuss some of the new possibilities that will arise when energy-based LSMs are combined with distributed hydrological modelling. We choose to focus on energy-based approaches, because in comparison to the traditional potential evapotranspiration models, these approaches allow for a stronger link to remote sensing and atmospheric modelling. New opportunities for evaluation of distributed land-surface models through application of remote sensing are discussed in detail, and the difficulties inherent in various evaluation procedures are presented. Finally, the dynamic coupling of hydrological and atmospheric models is explored, and the perspectives of such efforts are discussed.

show abstract

Estimation of the Surface Energy Balance

2005

Encyclopedia of Hydrological Sciences

View full text Add to dashboard Cite

Radiation and latent and sensible heating are among the most important processes in land–atmosphere exchanges. Hence, quantitative understanding and accurate estimation of these fluxes at large scales are imperative for research and applications in areas ranging from numerical weather forecast, climate research, water cycle study, to water resources management, sustainable agricultural production, and ecological conservation. Quantitative remote sensing is probably the only efficient and economically viable technology to provide regional to global radiometric observations of several physical quantities that are relevant to the estimation of these fluxes. This article examines the physical principles underlying the radiation and turbulent heating, along with exploring the possibilities and difficulties for estimation of these fluxes using remote sensing measurements. Past efforts, recent progresses are reviewed, and future research needs are identified. In particular, the Surface Energy Balance System(SEBS), recently developed in Wageningen, is introduced and its strengths and weakness are analyzed in view of future space‐borne sensor systems. Several applications derived on the basis of SEBS, including estimation of turbulent heat fluxes, evaporative fraction and actual evaporation, estimation of relative soil moisture, and drought monitoring are discussed.

show abstract

Estimating sensible heat flux from radiometric temperature over sparse millet

Cited by 83 publications

References 17 publications

Coupling soil-vegetationatmosphere- transfer model with energy balance model for estimating energy and water vapor fluxes over an olive grove in a semi-arid region

Coupling soil-vegetationatmosphere- transfer model with energy balance model for estimating energy and water vapor fluxes over an olive grove in a semi-arid region

Land-surface modelling in hydrological perspective – a review

Estimation of the Surface Energy Balance

Contact Info

Product

Resources

About