Application of SEBAL Model for Mapping Evapotranspiration and Estimating Surface Energy Fluxes in South-Central Nebraska

Singh, R. K.; Irmak, A.; Irmak, Suat; Martin, Derrel L.

doi:10.1061/(asce)0733-9437(2008)134:3(273)

Cited by 100 publications

(84 citation statements)

References 52 publications

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“…Gowda et al [25] reported an average accuracy of 85%, while Trezza [26] found the error to range from 2.7% to 35%, with 18.2% being the average error. Singh et al [9] found that ETc estimated using SEBAL could be within 5% of measured ETc. However, he also observed that on certain advective days, SEBAL underestimated ET, pointing out one advective day, where estimated ETc was 28% lower than measured ETc.…”

Section: Resultsmentioning

confidence: 90%

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SEBAL-A: A Remote Sensing ET Algorithm that Accounts for Advection with Limited Data. Part II: Test for Transferability

et al. 2015

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Because the Surface Energy Balance Algorithm for Land (SEBAL) tends to underestimate ET when there is advection, the model was modified by incorporating an advection component as part of the energy usable for crop evapotranspiration (ET). The modification involved the estimation of advected energy, which required the development of a wind function. In Part I, the modified SEBAL model (SEBAL-A) was developed and validated on well-watered alfalfa of a standard height of 40-60 cm. In this Part II, SEBAL-A was tested on different crops and irrigation treatments in order to determine its performance under varying conditions. The crops used for the transferability test were beans (Phaseolus vulgaris L.), wheat (Triticum aestivum L.) and corn (Zea mays L.). The estimated ET using SEBAL-A was compared to actual ET measured using a Bowen Ratio Energy Balance (BREB) system. Results indicated that SEBAL-A estimated ET fairly well for beans and wheat, only showing some slight underestimation of a Mean Bias Error (MBE) of −0.7 mm·d (10.7%) and NSCE of 0.82. The SEBAL-A model showed less or no improvement on corn that was either water-stressed or at early stages of growth. The errors incurred under these conditions were not due to advection not accounted for but rather were due to the nature of SEBAL and SEBAL-A being single-source energy balance models and, therefore, not performing well over heterogeneous surfaces. Therefore, it was concluded that SEBAL-A could be used on a wide range of crops if they are not water stressed. It is recommended that the SEBAL-A model be further studied to be able to accurately estimate ET under dry and sparse surface conditions.

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Section: Resultsmentioning

confidence: 90%

“…Singh et al [9] agree that the value of zo is not critical in the estimation of ET when using SEBAL. However, when the roughness parameter is used in the estimation of advection (as in SEBAL-A), its accuracy or lack thereof may be consequential.…”

Section: Surface Roughness and Effective Advectionmentioning

confidence: 93%

SEBAL-A: A Remote Sensing ET Algorithm that Accounts for Advection with Limited Data. Part II: Test for Transferability

et al. 2015

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“…In this case, the user should choose the locations of the anchor pixels in each image, but this does not always occur because people can make mistakes as a result of external factors such as psychological and physical states. Furthermore, the criteria for selecting anchor pixels can be changed depending on the user and thus the improper selection of these pixels might cause bias in the sensible heat flux calculation and the resulting ET [40]. The METRIC model that departs from the SEBAL model in its use of weather-based reference ET to establish energy balance conditions at a cold pixel attempts to overcome the disadvantage of user dependency through the automatic selection of anchor pixels [41].…”

Section: Sebal Implementationmentioning

confidence: 99%

The Modified SEBAL for Mapping Daily Spatial Evapotranspiration of South Korea Using Three Flux Towers and Terra MODIS Data

Lee

Kim

2016

Remote Sensing

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Evapotranspiration (ET) is expected to increase by a considerable amount because of the impact of future temperature increase. Nowadays, the daily to seasonal ET maps can be used to provide information for a sustainable and adaptive watershed eco-environment. This study attempts to estimate the spatial ET of South Korea (99,900 km 2 ), located within the latitudes of 33 • 06 N to 43 • 01 N and the longitudes of 124 • 04 E to 131 • 05 E, on a daily basis. The satellite-based image-processing model Surface Energy Balance Algorithms for Land (SEBAL) was adopted and modified to generate the spatial ET data. The SEBAL was calibrated using two years (2012)(2013) of measured ETs by an eddy covariance (EC) flux tower at three locations (two in a mixed forest area and one in a rice paddy area). The primary inputs for the model were land surface temperature/emissivity (LST/E), the Normalized Distribution Vegetation Index (NDVI), albedo (Ab) from a Terra Moderate-resolution Imaging Spectroradiometer (MODIS) satellite, a digital elevation model, and wind speed and solar radiation (Rs) from 76 ground-based weather stations. When LST data were unavailable because of clouds and/or snow, the bias-corrected ground temperature measured at the weather stations was used. The NDVI and Ab were used as the monthly average value to maintain relatively stable values rather than using the original time interval data. The determination coefficient (R 2 ) between SEBAL and the flux tower ET was 0.45-0.54 for the two mixed forest towers and 0.79 for the rice paddy tower reflecting the known characteristics of closed and open space ET estimation. The spatial distribution of SEBAL showed that the spatial ET reflected the geographical characteristics, revealing that the ET of lowland areas was higher than that of highland areas.

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“…Over the past decade, the SEBAL model has been applied extensively over various regions to compare ET of various land uses and land use change in space and time to address water resource and irrigation challenges (e.g. Goodrich et al, 2000;Bastiaanssen and Chandrapala, 2003;Bastiaanssen et al, 1998aBastiaanssen et al, ,b, 2002Bastiaanssen et al, , 2005Immerzeel et al, 2008;Singh et al, 2008;Mohamed et al, 2011). However, to the authors' knowledge this study is the first example where remote sensing data was used to estimate the ET of IAPs in space and time.…”

Section: Discussion Et Of Iaps and Native Vegetation Using The Sebal mentioning

confidence: 99%

“…A number of studies have assessed the accuracy of the SEBAL energy balance and ET estimates, with differences in ET estimates ranging between 1 and 11% (Bastiaanssen et al, 2002;Bastiaanssen and Bandara, 2001;Bastiaanssen and Chandrapala, 2003;Mohamed et al, 2004;Tasumi et al, 2005;Singh et al, 2008;Wang et al, 2009). Bastiaanssen et al (1998b; reviewed the accuracy of SEBAL under several climatic conditions at both field and catchment scale by validating data against field observations.…”

Section: Comparison Of Sebal-et Estimates With Ground Measurementsmentioning

confidence: 99%

Satellite-based annual evaporation estimates of invasive alien plant species and native vegetation in South Africa

Meijninger¹,

Jarmain²

2014

WSA

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In this study we assessed the impact that invasive alien plant species (IAPs), and the clearing thereof by the Working for Water (WFW) programme, have on total evaporation (ET) and the availability of water resources in two highly-invaded provinces of South Africa. The Surface Energy Balance Algorithm for Land (SEBAL) model, using MODIS satellite imagery, was used to estimate the annual total ET at 250 m pixel resolution. ET was estimated for 3 climatically different years for the Western Cape and KwaZulu-Natal. The average annual ET from areas under IAPs, native vegetation, exotic plantation forestry species and control (clearing) areas were compared. The ET of the 5 dominant IAPs (Acacia mearnsii, Acacia saligna, Eucalyptus spp., Hakea spp. and Pinus spp.) in the Western Cape province was 895 mm, which was significantly higher than the ET of most of the native vegetation (thicket 575 mm and fynbos 520 mm), but similar to the ET of dominant exotic plantation forestry species (805 mm). On average, the ET was reduced by 13% to 780 mm, following clearing. In KwaZulu-Natal Province, the ET of the 5 dominant IAPs (Acacia mearnsii, Chromoleana odorata, Eucalyptus spp., Lantana camara and Solanum mauritanium) was 875 mm, which was also higher than the ET of the native vegetation (thicket 755 mm, savanna 685 mm and grassland 640 mm). Following IAP control the ET was decreased by 6%, to 825 mm.This study has demonstrated that spatial ET data with GIS-information on land use can be used to assess the impact of IAPs, and clearing thereof, on water resources. We confirmed results from previous studies, which showed that ET from invaded areas exceeded that from native vegetation. The ET data needs further validation as validation appeared to be impossible. Our results are likely conservative since the majority of invaded areas considered in this analysis represent nonriparian areas. The impact of WFW control of densely-invaded riparian areas is likely more pronounced. We concluded that the clearing of IAPs by the WFW programme has a positive effect on the availability of water resources through a reduction in ET.

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Application of SEBAL Model for Mapping Evapotranspiration and Estimating Surface Energy Fluxes in South-Central Nebraska

Cited by 100 publications

References 52 publications

SEBAL-A: A Remote Sensing ET Algorithm that Accounts for Advection with Limited Data. Part II: Test for Transferability

SEBAL-A: A Remote Sensing ET Algorithm that Accounts for Advection with Limited Data. Part II: Test for Transferability

The Modified SEBAL for Mapping Daily Spatial Evapotranspiration of South Korea Using Three Flux Towers and Terra MODIS Data

Satellite-based annual evaporation estimates of invasive alien plant species and native vegetation in South Africa

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