Estimation of Evapotranspiration Based on Surface Energy Balance Algorithm for Land (Sebal) Using Landsat 8 and Modis Images

Nouri, Hamideh

doi:10.15666/aeer/1504_19711982

Cited by 8 publications

(3 citation statements)

References 21 publications

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“…For water resources planning on a large scale, point source measurement of ET will be impracticable due to constrains of time, human and financial resources. To overcome this challenge, the application of Geographic Information Systems (GIS) and Remote Sensing (RS) techniques in deriving the spatial distribution of continuous data for ET using surface energy balance techniques has been explored ( Allen et al., 2007 ; Bastiaanssen et al., 2005 ; Liou and Kar, 2014 ; Li and Zhao, 2010a , b ; Mkhwanazi et al., 2015 ; and Nouri et al., 2017 ). These GIS and RS techniques employ multi-spectral bands from satellite images to provide spatial information on ET over many regions ( Ayad et al., 2016 ).…”

Section: Introductionmentioning

confidence: 99%

Estimating the spatial distribution of evapotranspiration within the Pra River Basin of Ghana

Nsiah

Gyamfi

Anornu

et al. 2021

Heliyon

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It is important in water resource planning to accurately estimate the spatial distribution of evapotranspiration (ET) as an input parameter for hydrological studies. Although, conventional pan evaporation, lysimetric and eddy covariance techniques have been used, they only estimate point values. Hence, this study aimed at estimating the spatial distribution of ET within the Pra River Basin (a forest ecological zone) of Ghana, using cloud-free Landsat 8 (OLI/TIRS) satellite images employing the SEBAL methodology. The study further estimates the spatial distribution ET in relation to major climatic variables, Land Use Land Cover (LULC) types and energy balance components. The overall spatial distribution of ET had a mean value of 5.63 mm/day. Spatial distribution of ET (mm/ day) for water body (5.51-7.81) and uncultivated forest (5.10-7.71) were high, while moderately average values were observed for logged forest (4.80-7.51). Settlement and bare landscapes observed low rates ((2.05-5.10) mm/day). Spatially, ET was higher in the upper western, central and the eastern parts of the basin, but lower in the northern part and pockets of areas at the southern part of the basin where settlement/bare landscape and logged forest dominate. Areas with high temperature and high solar radiation experiences high ET, while low wind speed, low to average temperature and solar radiation areas experience low ET. Also, areas with both high net radiation and ground heat flux but low to average sensible heat flux experiences high ET and vice versa. Linear regression analysis showed good fit with slope of 0.76 and R 2 of 0.93 indicating that 93 % of the variations in observed field measurement of ET fitted perfectly well with ET distributions generated by the SEBAL model.

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Section: Introductionmentioning

confidence: 99%

Estimating the spatial distribution of evapotranspiration within the Pra River Basin of Ghana

Nsiah

Gyamfi

Anornu

et al. 2021

Heliyon

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“…Guzinski and Nieto's research shows that remote sensing technology can be used to estimate high-resolution evapotranspiration at the field scale with 85% accuracy compared with local meteorological observation and 81% accuracy compared with climate data analysis (Guzinski and Nieto 2019). Other studies show that remote sensing technology can estimate evapotranspiration at acceptable results (Nouri et al 2017;Li et al 2017) and do the goodness of fit compared with meteorological data analysis (Bonemberger et al 2018). Ceron et al 2015 reported that the evapotranspiration estimation based on remote sensing is better during the critical dry season when cloud cover is low (Ceron et al 2015).…”

Section: Introductionmentioning

confidence: 99%

An Evaluation of MODIS Global Evapotranspiration Product as Satellite-Based Evapotranspiration Data for Supporting Precision Agriculture in West Papua - Indonesia

Faisol¹,

Indarto

Novita

et al. 2021

j Trop. Soils

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Precision Agriculture has been a significant issue since the middle of the 1980s. Evapotranspiration is one of the main parameters in precision agriculture to analyze real water needs in the agriculture area and managing water resources. Traditionally evapotranspiration estimates by directly measured methods, i.e., lysimeter, pan-evaporation, eddy covariance, Bowen ratio, soil water, and climate data analysis. These methods are expensive techniques with low spatial representativeness. The utilization of remote sensing technology is expected to be an alternative solution for providing evapotranspiration data with a cost-effective and high spatial representative. This research aims to evaluate the MODIS global evapotranspiration as satellite-based evapotranspiration in estimating evapotranspiration in West Papua. Four (4) statistical parameters, i.e., mean error (ME), root means square error (RMSE), relative bias (RB), and mean bias factor (MBF), are using for evaluation. The research showed that MODIS global evapotranspiration was overestimated in estimating evapotranspiration in West Papua. However, MODIS global evapotranspiration has an acceptable accuracy in estimating evapotranspiration in West Papua indicated by ME = 0.66 mm/day, RMSE = 0.94 mm/day, RB = 0.27, and MBF = 0.81. Therefore, MODIS global evapotranspiration can be used as an alternative solution for providing evapotranspiration data in West Papua with a cost-effective.

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“…A estimativa desses componentes via sensoriamento remoto surge como uma alternativa eficaz e econômica diante da ausência de dados observados (Machado el at., 2014). O algoritmo SEBAL (Surface Energy Balance Algorith for Land), desenvolvido por Bastiaanssen et al (2005), a partir de imagens de satélite e poucos dados de superfície, vem sendo utilizado para esse fim (Nouri et al, 2017;Ogunjobi et al, 2018;Yang et al, 2018).…”

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Balanço de energia via sensoriamento remoto em fragmentos de Caatinga no Sul do Piauí

Fernandes

Lopes

Oliveira

et al. 2019

Jour. Hypers. Rem. Sensg.

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Understanding the complexity of heat exchange dynamics between vegetation and atmosphere is crucial for meteorological studies, considering that changes in surface flows can cause climate change. Thus, the objective was to characterize and quantify the energy balance components, as well as to verify if Caatinga heterogeneity has influence on the same, from the different fractions in the municipality of Bom Jesus, Piauí. The municipality is part of the Piauiense Semiarid region, having hot and humid climate (Awa), the vegetation plots are characterized as Caatinga Arboreal (CAbo), Caatinga Arbustiva (CAbu) and Caatinga Arboreal-Arbustiva (CAb). The images used come from the Operational Land Imager (OLI) and Thermal Infrared Sensor (TIRS) sensors which are on board the Landsat 8. Image processing consisting of the conversion of digital number data to spectral radiance; The reflectance, vegetation indices and radiation balance components were obtained from the SEBAL algorithm. In order to verify the relationship between the vegetation fractions (NDVI) and the biophysical components obtained from SEBAL, a regression analysis was performed between the variables. Among the evaluated areas, there was a difference in the distribution of surface available energy (Rn) for each biophysical component of the energy balance, as well as in vegetation characteristics (albedo and NDVI). Regarding the relationship between the peculiar vegetation of each fragment and the components of the energy balance, different relationships were obtained according to each fraction, with relationships directly proportional to Rn, LE and inversely to H and G. Caatinga heterogeneity differently affects the surface energy balance, indicating complex biophysical processes in their relationship with the atmosphere.

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Estimation of Evapotranspiration Based on Surface Energy Balance Algorithm for Land (Sebal) Using Landsat 8 and Modis Images

Cited by 8 publications

References 21 publications

Estimating the spatial distribution of evapotranspiration within the Pra River Basin of Ghana

Estimating the spatial distribution of evapotranspiration within the Pra River Basin of Ghana

An Evaluation of MODIS Global Evapotranspiration Product as Satellite-Based Evapotranspiration Data for Supporting Precision Agriculture in West Papua - Indonesia

Balanço de energia via sensoriamento remoto em fragmentos de Caatinga no Sul do Piauí

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