Contribution à la spatialisation de l'évapotranspiration d'un agro-système semi-aride en Algérie par utilisation de la télédétection et du modèle METRIC

Hamimed, Abderrahmane; Nehal, Laounia; Khaldi, A.; Azzaz, Habib

doi:10.4000/physio-geo.4063

Cited by 2 publications

(6 citation statements)

References 21 publications

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“…This result is similar to that obtained on the Alpilles/ReSeDA experimental site in France by Jacob et al (2002), on the Ksar Chellala plain in Algeria by Hamimed et al (2014) and on the Low-Middle São Francisco River basin in Brazil by Teixeira et al (2009). This underestimation can be explained by the uncertainty of the intermediate variables used in the model (such as albedo, NDVI and surface temperature).…”

Section: Soil Heat Fluxsupporting

confidence: 80%

“…This is justified by high differences between surface and air temperatures. However, for wet pixels (freshly irrigated plots) r ah values are high (34.73 s/m, 38.09 s/m, 121.08 s/m and 54.79 s/m for the DOY 337,36,116,196,respectively) because the net available energy (Rn -G) is mainly consumed by evapotranspiration (Hamimed et al, 2014). This differentiation of the sensible heat flux for dry and wet pixels is caused by the surface water status and its influence on the energy partition between the latent and sensible heat.…”

Section: Sensible Heat Fluxmentioning

confidence: 99%

“…(12) are empirically determined using the properties of pixels in extreme water conditions (hot/cold and dry/wet). These pixels are identified on the image by analyzing the relationship between the vegetation index and the surface temperature according to the triangle method (Hamimed et al, 2014). The dry pixels are indicated at bare soils (NDVI values close to zero) having high surface temperature.…”

Section: Evapotranspiration Estimation With Metric Modelmentioning

confidence: 99%

“…It uses the principle of surface energy balance to scale sensible and latent heating between wet/cold and dry/hot edges identified within the modeling domain. METRIC (Li et al, 2013) has the particularity of using the hourly reference evapotranspiration in the calculation of evaporative fraction, which makes it the most suitable model for conditions with strong local advection which characterize the semiarid regions in Algeria (Hamimed et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

“…Most of the transfer mechanisms (radiative, turbulent, and water transfers) and some physiological processes (photosynthesis, stomatal regulation) are described; -Those basing on the estimation of the evapotranspiration as the residual term of the energy balance equation. They can be divided into two categories: 1) Single-source models, such as SEBAL (Surface Energy Balance Algorithm for Land) (Bastiaanssen et al, 1998;Teixeira et al, 2009), METRIC (Mapping Evapotranspiration with Internalized Calibration) (Allen et al, 2007;Trezza et al, 2013;Hamimed et al, 2014), S-SEBI (Simplified Surface Energy Balance Index) (Roerink et al, 2000), SEBS (Surface Energy Balance System) and TIM model (the Trapezoid Interpolation Model) (Sun and Kafatos, 2007;Stisen et al, 2008), that do not distinguish between soil evaporation and transpiration, but treat the land surface as one homogeneous surface. Their simplicity and yet physically sound basis has made the single-source models widely used; 2) Dual-source models, such as TSEB (Two Source Energy Balance) (French et al, 2015;Boulet et al, 2015;Xin et al, 2010), that discriminate the soil and vegetation component, aiming at a more physical description of heterogeneous surfaces when dealing with radiative and aerodynamic properties.…”

Section: Introductionmentioning

confidence: 99%

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Evapotranspiration and Surface Energy Fluxes Estimation Using the Landsat-7 Enhanced Thematic Mapper Plus Image over a Semiarid Agrosystem in the North-West of Algeria

Nehal

Hamimed

Khaldi

et al. 2017

Rev. bras. meteorol.

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Monitoring evapotranspiration and surface energy fluxes over a range of spatial and temporal scales is crucial for many agroenvironmental applications. Different remote sensing based energy balance models have been developed, to estimate evapotranspiration at both field and regional scales. In this contribution, METRIC (Mapping EvapoTranspiration at high Resolution with Internalized Calibration), has been applied for the estimation of actual evapotranspiration in the Ghriss plain in Mascara (western Algeria), a semiarid region with heterogeneous surface conditions. Four images acquired during 2001 and 2002 by the Landsat-7 satellite were used. The METRIC model followed an energy balance approach, where evapotranspiration is estimated as the residual term when net radiation, sensible and soil heat fluxes are known. Different moisture indicators derived from the evapotranspiration were then calculated: reference evapotranspiration fraction, Priestley-Taylor parameter and surface resistance to evaporation. The evaluation of evapotranspiration and surface energy fluxes are accurate enough for the spatial variations of evapotranspiration rather satisfactory than sophisticated models without having to introduce an important number of parameters in input with difficult accessibility in routine. In conclusion, the results suggest that METRIC can be considered as an operational approach to predict actual evapotranspiration from agricultural areas having limited amount of ground information. Keywords: evapotranspiration, remote sensing, METRIC, energy balance, Landsat. Estimativa da Evapotranspiração e Fluxos de Energia de Superfície Usando a Imagem Landsat-7 Enhanced Thematic Mapper Plus em um AgrosistemaAemi-árido no Noroeste da Argélia ResumoO monitoramento dos fluxos de energia e da evapotranspiração em diferentes escalas espaciais e temporais é crucial para muitas aplicações agroambientais. Diferentes modelos baseados no sensoriamento remoto têm sido desenvolvidos para estimativa da evapotranspiração tanto em escala local como em largas escalas. Neste contexto, o METRIC (Mapping EvapoTranspiration at high Resolution with Internalized Calibration) tem sido aplicado para a estimative da evapotranspiração em "Ghriss plain" em Mascara, uma região semiárida no noroeste da Argélia com condições e superfícies heterogêneas. Quatro imagens adquiridas durante 2001 a 2002 com o sensor Landsat-7 ETM+ foram usadas. O modelo METRIC computa o balanço de energia onde a evapotranspiração é estimada como resíduo quando o saldo de radiação e os fluxos de calor sensível e no solo são conhecidos. Diferentes indicadores de umidade derivados da evapotranspiração foram então calculados: a fração da evapotranspiração de referência, o parâmetro Priestley-Taylor e a resistência da superfície à evapotranspiração. As avaliações da evapotranspiração e dos fluxos de energia foram suficientemente precisas para detecção das variações espaciais da evapotranspiração, sendo mais satisfatórias que aquelas provenientes de modelos sofisticados sem...

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Section: Soil Heat Fluxsupporting

confidence: 80%

Section: Sensible Heat Fluxmentioning

confidence: 99%

Section: Evapotranspiration Estimation With Metric Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Evapotranspiration and Surface Energy Fluxes Estimation Using the Landsat-7 Enhanced Thematic Mapper Plus Image over a Semiarid Agrosystem in the North-West of Algeria

Nehal

Hamimed

Khaldi

et al. 2017

Rev. bras. meteorol.

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Journal of Water and Land Development

Oualid,

Hamimed,

Khaldi

2022

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Optimal estimation of water balance components at the local and regional scales is essential for many applications such as integrated water resources management, hydrogeological modelling and irrigation scheduling. Evapotranspiration is a very important component of the hydrological cycle at the soil surface, particularly in arid and semi-arid lands. Mapping evapotranspiration at high resolution with internalised calibration (METRIC), trapezoid interpolation model (TIM), two-source energy balance (TSEB), and soil-plant-atmosphere and remote sensing evapotranspiration (SPARSE) models were applied using Landsat 8 images for four dates during 2014-2015 and meteorological data. Surface energy maps were then generated. Latent heat flux estimated by four models was then compared and evaluated with those measured by applying the method of Bowen ratio for the various days. In warm periods with high water stress differences and with important surface temperature differences, METRIC proves to be the most robust with the root-mean-square error (RMSE) less than 40 W•m -2 . However, during the periods with no significant surface temperature and soil humidity differences, SPARSE model is superior with the RMSE of 35 W•m -2 . The results of TIM are close to METRIC, since both models are sensitive to the difference in surface temperature. However, SPARSE remains reliable with the RMSE of 55 W•m -2 unlike TSEB, which has a large deviation from the other models. On the other hand, during the days when the temperature difference is small, SPARSE and TSEB are superior, with a clear advantage of SPARSE serial version, where temperature differences are less important.

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Contribution à la spatialisation de l'évapotranspiration d'un agro-système semi-aride en Algérie par utilisation de la télédétection et du modèle METRIC

Cited by 2 publications

References 21 publications

Evapotranspiration and Surface Energy Fluxes Estimation Using the Landsat-7 Enhanced Thematic Mapper Plus Image over a Semiarid Agrosystem in the North-West of Algeria

Evapotranspiration and Surface Energy Fluxes Estimation Using the Landsat-7 Enhanced Thematic Mapper Plus Image over a Semiarid Agrosystem in the North-West of Algeria

Journal of Water and Land Development

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