Integrating super resolution mapping and SEBS modeling for evapotranspiration mapping at the field scale

Mahour, Milad; Stein, Alfred; Sharifi, Alimorad; Tolpekin, V.A.

doi:10.1007/s11119-015-9395-8

Cited by 10 publications

(8 citation statements)

References 23 publications

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“…SEBS showed more variation in the distribution of ET on the last image date (11 December 2001), than SEBAL ET on 11 December 2001. The ability of the SEBS model to capture the spatial variability has been used in precision agriculture [39]. The ET from the urban area (Omaha, Nebraska) located in the lower middle part of the image is consistent, particularly during July-August.…”

Section: Spatial and Temporal Variation Of Et Using The Sebs Modelmentioning

confidence: 99%

“…However, all three models showed a decreasing trend in ET, as expected with the monthly progression from July to December. It should be noted that daily ET in both SEBAL and SEBS were upscaled using the same daily average The ability of the SEBS model to capture the spatial variability has been used in precision agriculture [39]. The ET from the urban area (Omaha, Nebraska) located in the lower middle part of the image is consistent, particularly during July-August.…”

Section: Spatial and Temporal Variation Of Et Using The Sebs Modelmentioning

confidence: 99%

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Comparison of Four Different Energy Balance Models for Estimating Evapotranspiration in the Midwestern United States

Singh

Senay

2015

Water

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Abstract:The development of different energy balance models has allowed users to choose a model based on its suitability in a region. We compared four commonly used models-Mapping EvapoTranspiration at high Resolution with Internalized Calibration (METRIC) model, Surface Energy Balance Algorithm for Land (SEBAL) model, Surface Energy Balance System (SEBS) model, and the Operational Simplified Surface Energy Balance (SSEBop) model-using Landsat images to estimate evapotranspiration (ET) in the Midwestern United States. Our models validation using three AmeriFlux cropland sites at Mead, Nebraska, showed that all four models captured the spatial and temporal variation of ET reasonably well with an R 2 of more than 0.81. Both the METRIC and SSEBop models showed a low root mean square error (<0.93 mm¨day´1) and a high Nash-Sutcliffe coefficient of efficiency (>0.80), whereas the SEBAL and SEBS models resulted in relatively higher bias for estimating daily ET. The empirical equation of daily average net radiation used in the SEBAL and SEBS models for upscaling instantaneous ET to daily ET resulted in underestimation of daily ET, particularly when the daily average net radiation was more than 100 W¨m´2. Estimated daily ET for both cropland and grassland had some degree of linearity with METRIC, SEBAL, and SEBS, but linearity was stronger for evaporative fraction. Thus, these ET models have strengths and limitations for applications in water resource management.

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Section: Spatial and Temporal Variation Of Et Using The Sebs Modelmentioning

confidence: 99%

Section: Spatial and Temporal Variation Of Et Using The Sebs Modelmentioning

confidence: 99%

Comparison of Four Different Energy Balance Models for Estimating Evapotranspiration in the Midwestern United States

Singh

Senay

2015

Water

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“…Latent heat flux LE can be expressed as a product of evapotranspiration (ET, kg·m −2 ·s −1 or mm·s −1 ) and latent heat of vaporization (L, L = (2.501 − 0.00237 × T air ) × 10 6 , J·kg −1 ) [86]. For transforming instantaneous evapotranspiration (ET i ) into daily evapotranspiration (ET d ), Xie's [87] research has established the relationship between ET d and ET i of any moment, which is expressed as:…”

Section: Retrieval Of Daily Evapotranspirationmentioning

confidence: 99%

A Modified Multi-Source Parallel Model for Estimating Urban Surface Evapotranspiration Based on ASTER Thermal Infrared Data

Zhang

Chen

et al. 2017

Remote Sensing

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Abstract:To date, little attention has been given to remote sensing-based algorithms for inferring urban surface evapotranspiration. A multi-source parallel model based on ASTER data was one of the first examples, but its accuracy can be improved. We therefore present a modified multi-source parallel model in this study, which has made improvements in parameterization and model accuracy. The new features of our modified model are: (1) a characterization of spectrally heterogeneous urban impervious surfaces using two endmembers (high-and low-albedo urban impervious surface), instead of a single endmember, in linear spectral mixture analysis; (2) inclusion of an algorithm for deriving roughness length for each land surface component in order to better approximate to the actual land surface characteristic; and (3) a novel algorithm for calculating the component net radiant flux with a full consideration of the fraction and the characteristics of each land surface component. HJ-1 and ASTER data from the Chinese city of Hefei were used to test our model's result with the China-ASEAN ET product. The sensitivity of the model to vegetation and soil fractions was analyzed and the applicability of the model was tested in another built-up area in the central Chinese city of Wuhan. We conclude that our modified model outperforms the initial multi-source parallel model in accuracy. It can obtain the highest accuracy when applied to vegetation-dominated (vegetation proportion > 50%) areas. Sensitivity analysis shows that vegetation and soil fractions are two important parameters that can affect the ET estimation. Our model is applicable to estimate evapotranspiration in other urban areas.

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“…Image fusion, in contrast, uses two or more images (Aiazzi et al, 2002) to obtain both high spatial and spectral resolution images at the same time (Ha et al, 2012b). Early examples are downscaling the Landsat 7 thermal band using NDVI as a co-variable (Rodriguez-Galiano et al, 2012), and integrating super resolution mapping for ET estimation at the field scale using image fusion (Mahour et al, 2015a). The basis for downscaling LST, however, is the inverse relationship between LST and NDVI as has been studied well in literature (e.g.…”

Section: Introductionmentioning

confidence: 99%

Scaling of remote sensing information for orchard management

Mahour¹

Self Cite

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After an exciting period of working and doing research at ITC Faculty, today is the day: writing this note of appreciation is the finishing touch on my PhD research. It has been a time of profound learning for me, not only in the scientific arena but also on a personal level. Doing this research has had a significant impact on me. I would like to deliberate on the people who have helped and encouraged me so much throughout this period. I would first like to express my special appreciations to my promoter Prof. Alfred Stein for his advice, support and continuous encouragements have contributed significantly to the completion of this research. I would remarkably like to single out my supervisor Dr. Valentyn Tolpekin: I want to thank you for your excellent assistance and for all of the opportunities I was given to conduct my research. I would like to extend my appreciation to Dr. Ali Sharifi for his support, advice and critical comments. I would also like to thank my family for the love of my life my loving mother Fariba, my father Jamshid, my brothers Mohamadamin and Amirali, and my lovely grandma, thank you for giving me a stable mind to think and work for science. I am thankful to you for all what you have done for me. Because of you, I am standing here.

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Integrating super resolution mapping and SEBS modeling for evapotranspiration mapping at the field scale

Cited by 10 publications

References 23 publications

Comparison of Four Different Energy Balance Models for Estimating Evapotranspiration in the Midwestern United States

Comparison of Four Different Energy Balance Models for Estimating Evapotranspiration in the Midwestern United States

A Modified Multi-Source Parallel Model for Estimating Urban Surface Evapotranspiration Based on ASTER Thermal Infrared Data

Scaling of remote sensing information for orchard management

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