Evapotranspiration of Partially Vegetated Surfaces

Lagos, Luis Octavio; Merino, Germán E.; Martin, Derrel L.; Verma, Shashi B.; Suyker, Andrew E.

doi:10.5772/19954

Cited by 6 publications

(4 citation statements)

References 55 publications

(85 reference statements)

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“…Evapotranspiration (ET) measurements play a crucial role for water management under hyper-arid conditions, particularly in irrigation scheduling, hydrologic modeling and drought monitoring (Bastiaanssen et al, 2000;Allen et al, 2005;Chavez et al, 2005;Senay et al, 2008;Santos et al, 2010;Anderson et al, 2012;Mkhwanazi and Chavez, 2012;Gowda et al, 2013;Lagos et al, 2013;Moorhead et al, 2013;Yee et al, 2014;Madugundu et al, 2017). In semi-arid climates, ET is characterized as one of the most significant components influencing the hydrologic cycle.…”

Section: Introductionmentioning

confidence: 99%

Performance of the METRIC model in estimating evapotranspiration fluxes over an irrigated field in Saudi Arabia using Landsat-8 images

Madugundu

Al‐Gaadi

Tola

et al. 2017

Hydrol. Earth Syst. Sci.

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Abstract. Accurate estimation of evapotranspiration (ET) is essential for hydrological modeling and efficient crop water management in hyper-arid climates. In this study, we applied the METRIC algorithm on Landsat-8 images, acquired from June to October 2013, for the mapping of ET of a 50 ha center-pivot irrigated alfalfa field in the eastern region of Saudi Arabia. The METRIC-estimated energy balance components and ET were evaluated against the data provided by an eddy covariance (EC) flux tower installed in the field. Results indicated that the METRIC algorithm provided accurate ET estimates over the study area, with RMSE values of 0.13 and 4.15 mm d −1 . The METRIC algorithm was observed to perform better in full canopy conditions compared to partial canopy conditions. On average, the METRIC algorithm overestimated the hourly ET by 6.6 % in comparison to the EC measurements; however, the daily ET was underestimated by 4.2 %.

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Section: Introductionmentioning

confidence: 99%

Performance of the METRIC model in estimating evapotranspiration fluxes over an irrigated field in Saudi Arabia using Landsat-8 images

Madugundu

Al‐Gaadi

Tola

et al. 2017

Hydrol. Earth Syst. Sci.

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“…Similar to previous multiple-layer model approaches [25,26], the modified SEB-PW model has four layers ( Figure 1): The first layer extends from the reference height above the vegetation to the sink for momentum within the canopy; a second layer spans between the canopy and the soil surface, followed by a third layer comprising the top soil layer, where the surface resistance can be calculated as a function of the soil water content. Finally, the fourth layer includes a lower soil layer, where the soil atmosphere is nearly saturated with water vapor [2].…”

Section: The Modified Seb-pw Modelmentioning

confidence: 99%

A Modified Surface Energy Balance to Estimate Crop Transpiration and Soil Evaporation in Micro-Irrigated Orchards

Souto

Lagos

Holzapfel

et al. 2019

Water

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A surface energy balance model was conceived to estimate crop transpiration and soil evaporation in orchards and vineyards where the floor is partially wetted by micro-irrigation systems. The proposed surface energy balance model for partial wetting (SEB-PW) builds upon previous multiple-layer modelling approaches to estimate the latent, sensible, and soil heat fluxes, while partitioning the total evapotranspiration ( E T ) into dry and wet soil evaporation ( λ E s o i l ) and crop transpiration ( T ). The model estimates the energy balance and flux resistances for the evaporation from dry and wet soil areas below the canopy, evaporation from dry and wet soil areas between plant rows, crop transpiration, and total crop E T . This article describes the model development, sensitivity analysis and a preliminary model evaluation. The evaluation shows that simulated hourly E T values have a good correlation with field measurements conducted with the surface renewal method and micro-lysimeter measurements in a micro-irrigated winegrape vineyard of Northern California for a range of fractional crop canopy cover conditions. Evaluation showed that hourly L E estimates had root mean square error ( R M S E ) of 58.6 W m−2, mean absolute error ( M A E ) of 35.6 W m−2, Nash-Sutcliffe coefficient ( C N S ) of 0.85, and index of agreement ( d a ) of 0.94. Daily soil evaporation ( E s ) estimations had R M S E of 0.30 mm d−1, M A E of 0.24 mm d−1, C N S of 0.87, and d a of 0.94. E s estimation had a coefficient of determination ( r 2 ) of 0.95, when compared with the micro-lysimeter measurements, which showed that E s can reach values from 28% to 46% of the total E T after an irrigation event. The proposed SEB-PW model can be used to estimate the effect and significance of soil evaporation from wet and dry soil areas on the total E T , and to inform water balance studies for optimizing irrigation management. Further evaluation is needed to test the model in other partially wetted orchards and to test the model performance during all growing seasons and for different environmental conditions.

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“…Examples of these models include the Surface Energy Balance Algorithm for Land (SEBAL) (Bastiaanssen et al 1998), Mapping Evapotranspiration at high Resolution with Internalized Calibration (METRIC) (Allen et al 2013), Simplified Surface Energy Balance (SSEB) (Senay et al 2013), Remote Sensing of Evapotranspiration (ReSET) (Elhaddad and Garcia 2011), Modified SEBAL (Papadavid et al 2013), and Surface Energy Balance with Topography Algorithm (SEBTA) (Gao et al 2011). These models have been successfully used to estimate ET over agricultural fields at different spatial scales (Kalma et al 2008;Gowda et al 2008;Lagos et al 2013).…”

Section: Introductionmentioning

confidence: 99%

Evaluation of METRIC-derived ET fluxes over irrigated alfalfa crop in desert conditions using scintillometer measurements

et al. 2016

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A field study on a 50-ha alfalfa (Medicago sativa L.) irrigated field was conducted to investigate the performance of the remote sensing (RS) based Mapping EvapoTranspiration at high Resolution with Internalized Calibration (METRIC) model in the estimation of evapotranspiration (ET) under the arid conditions of Saudi Arabia. The METRIC model performance was investigated by comparing the energy fluxes estimated by the model to the output of a surface layer scintillometer (SLS) system installed in the field, given the fact that the SLS is efficient in measuring sensible heat fluxes (H) over vegetative areas. Landsat-8 reflectance data were used as inputs for the METRIC model. Results of the study revealed that the HMETRIC data was strongly correlated with the HSLS data with an R2 value of 0.74 (P \u3e F = 0.0064) and a mean bias error (MBE) of 6.05 W m−2 (6 %). The METRIC model showed a good performance in estimating the hourly latent heat (LE) fluxes compared with SLS data with an R2 value of 0.81 (P \u3e F = 0.0023), an MBE of 24.46 W m−2 (8 %) and a Nash–Sutcliffe efficiency (NSE) of 0.91. Furthermore, the hourly ET was estimated with an MBE and an NSE of 0.036 mm h−1 (8 %) and 1.00, respectively. Compared to the SLS data, the METRIC model was found to generally provide an efficient and an accurate means of energy fluxes estimation; therefore, ET estimation over the studied irrigated alfalfa crop. © 2016, Saudi Society for Geoscience

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Evapotranspiration of Partially Vegetated Surfaces

Cited by 6 publications

References 55 publications

Performance of the METRIC model in estimating evapotranspiration fluxes over an irrigated field in Saudi Arabia using Landsat-8 images

Performance of the METRIC model in estimating evapotranspiration fluxes over an irrigated field in Saudi Arabia using Landsat-8 images

A Modified Surface Energy Balance to Estimate Crop Transpiration and Soil Evaporation in Micro-Irrigated Orchards

Evaluation of METRIC-derived ET fluxes over irrigated alfalfa crop in desert conditions using scintillometer measurements

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