Estimation of evapotranspiration for the blown-sand region in the Ordos basin based on the SEBAL model

Kong, Jinling; Hu, Yanqi; Yang, Liangyan; Shan, Zhibin; Wang, Yating

doi:10.1080/01431161.2018.1508919

Cited by 15 publications

(11 citation statements)

References 34 publications

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“…The lowest values of the land surface emissivity were observed in bare lands. These results are inconsistent with that reported by Kong et al [8].…”

Section: Analysis Of Land Surface Parameterscontrasting

confidence: 97%

“…Nevertheless, the seasonal variation shows that the surface albedo was higher during the summer (April, July) compared to the winter (November, February). The surface albedos levels were found lower in the vegetation-covered areas than the exposed soil [8].…”

Section: Analysis Of Land Surface Parametersmentioning

confidence: 72%

“…The NDVI is vital for calculating the land surface emissivity since it is used to estimate the vegetation coverage [43]. The calculation of the NDVI and vegetation coverage was as follows [8,44]:…”

Section: Estimation Of the Main Surface Parametersmentioning

confidence: 99%

“…SEBAL was selected in this study to estimate the ETa because it can measure the ET without requiring quantifying the other complicated hydrological processes [7]. Also, SEBAL can identify the satellite image's dry and wet pixels by showing a linear relationship between the surface temperature and the temperature gradient difference [8]. The FAO P-M method was adopted to validate the ETa obtained from the SEBAL model, since it used the actual climate data of the study area for quantifying the ETa process.…”

Section: Introductionmentioning

confidence: 99%

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Mapping and Assessment of Evapotranspiration over Different Land-Use/Land-Cover Types in Arid Ecosystem

Biro¹,

Zeineldin²,

Alghannam³

2022

Climate Change in Asia and Africa - Examining the Biophysical and Social Consequences, and Society's Responses

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Evapotranspiration (ET) is an essential process for defining the mass and energy relationship between soil, crop and atmosphere. This study was conducted in the Eastern Region of Saudi Arabia, to estimate the actual daily, monthly and annual evapotranspiration (ETa) for different land-use systems using Landsat-8 satellite data during the year 2017/2018. Initially, six land-use and land-cover (LULC) types were identified, namely: date palm, cropland, bare land, urban land, aquatic vegetation, and open water bodies. The Surface Energy Balance Algorithm for Land (SEBAL) supported by climate data was used to compute the ETa. The SEBAL model outputs were validated using the FAO Penman-Monteith (FAO P-M) method coupled with field observation. The results showed that the annual ETa values varied between 800 and 1400 mm.year−1 for date palm, 2000 mm.year−1 for open water and 800 mm.year−1 for croplands. The validation measure showed a significant agreement level between the SEBAL model and the FAO P-M method with RMSE of 0.84, 0.98 and 1.38 mm.day−1 for date palm, open water and cropland respectively. The study concludes that the ETa produced from the satellite data and the SEBAL model is useful for water resource management under arid ecosystem of the study area.

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“…The lowest values of the land surface emissivity were observed in bare lands. These results are inconsistent with that reported by Kong et al [8].…”

Section: Analysis Of Land Surface Parameterscontrasting

confidence: 97%

Section: Analysis Of Land Surface Parametersmentioning

confidence: 72%

Section: Estimation Of the Main Surface Parametersmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Mapping and Assessment of Evapotranspiration over Different Land-Use/Land-Cover Types in Arid Ecosystem

Biro¹,

Zeineldin²,

Alghannam³

2022

Climate Change in Asia and Africa - Examining the Biophysical and Social Consequences, and Society's Responses

View full text Add to dashboard Cite

show abstract

“…With an increase in the image pixel size, the spatial heterogeneity quantified by the mean variability of the NDVI tends to be the same. ET plays a crucial role in the surface hydrothermal balance (Nakayama, 2013;Kong et al, 2019), many studies have carried out to discussed the spatial heterogeneity of ET (Alfieri et al, 2009;Giannico et al, 2018;Li et al, 2018a;. For example, Li et al (2018a) used the coefficient of variation (CV) as the evaluation index based on the eddy covariance (EC) system in the midstream and downstream regions of Heihe River Basin (HRB) to evaluate the spatial heterogeneity of ET.…”

Section: Introductionmentioning

confidence: 99%

Evaluating Spatial Heterogeneity of Land Surface Hydrothermal Conditions in the Heihe River Basin

Zhang

Liu

et al. 2020

Chin. Geogr. Sci.

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Land surface hydrothermal conditions (LSHCs) reflect land surface moisture and heat conditions, and play an important role in energy and water cycles in soil-plant-atmosphere continuum. Based on comparison of four evaluation methods (namely, the classic statistical method, geostatistical method, information theory method, and fractal method), this study proposed a new scheme for evaluating the spatial heterogeneity of LSHCs. This scheme incorporates diverse remotely sensed surface parameters, e.g., leaf area index-LAI, the normalized difference vegetation index-NDVI, net radiation-Rn, and land surface temperature-LST. The LSHCs can be classified into three categories, namely homogeneous, moderately heterogeneous and highly heterogeneous based on the remotely sensed LAI data with a 30 m spatial resolution and the combination of normalized information entropy (S') and coefficient of variation (CV). Based on the evaluation scheme, the spatial heterogeneity of land surface hydrothermal conditions at six typical flux observation stations in the Heihe River Basin during the vegetation growing season were evaluated. The evaluation results were consistent with the land surface type characteristics exhibited by Google Earth imagery and spatial heterogeneity assessed by high resolution remote sensing evapotranspiration data. Impact factors such as precipitation and irrigation events, spatial resolutions of remote sensing data, heterogeneity in the vertical direction, topography and sparse vegetation could also affect the evaluation results. For instance, short-term changes (precipitation and irrigation events) in the spatial heterogeneity of LSHCs can be diagnosed by energy factors, while long-term changes can be indicated by vegetation factors. The spatial heterogeneity of LSHCs decreases when decreasing the spatial resolution of remote sensing data. The proposed evaluation scheme would be useful for the quantification of spatial heterogeneity of LSHCs over flux observation stations toward the global scale, and also contribute to the improvement of the accuracy of estimation and validation for remotely sensed (or model simulated) evapotranspiration.

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Evaluating evapotranspiration using data mining instead of physical-based model in remote sensing

Neissi

Golabi

Albaji

et al. 2021

Theor Appl Climatol

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Estimation of evapotranspiration for the blown-sand region in the Ordos basin based on the SEBAL model

Cited by 15 publications

References 34 publications

Mapping and Assessment of Evapotranspiration over Different Land-Use/Land-Cover Types in Arid Ecosystem

Mapping and Assessment of Evapotranspiration over Different Land-Use/Land-Cover Types in Arid Ecosystem

Evaluating Spatial Heterogeneity of Land Surface Hydrothermal Conditions in the Heihe River Basin

Evaluating evapotranspiration using data mining instead of physical-based model in remote sensing

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