Actual Evapotranspiration Estimation Using Remote Sensing: Comparison of SEBAL and SSEB Approaches

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Advances in Remote Sensing

ISSN Print: 2169-267X
ISSN Online: 2169-2688
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"Actual Evapotranspiration Estimation Using Remote Sensing: Comparison of SEBAL and SSEB Approaches"
written by Bergson G. Bezerra, Bernardo B. da Silva, Carlos A. C. dos Santos, José R. C. Bezerra,
published by Advances in Remote Sensing, Vol.4 No.3, 2015

has been cited by the following article(s):

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[16]	Temporal-spatial control of the difference between precipitation and evapotranspiration in Paracatu sub-basins.
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[1]	Forecasting daily evapotranspiration using artificial neural networks for sustainable irrigation scheduling Irrigation Science, 2022 DOI:10.1007/s00271-021-00751-1

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[4]	Are Remote Sensing Evapotranspiration Models Reliable Across South American Ecoregions? Water Resources Research, 2021 DOI:10.1029/2020WR028752

[5]	A comparative study of remote sensing and gene expression programming for estimation of evapotranspiration in four distinctive climates Stochastic Environmental Research and Risk Assessment, 2021 DOI:10.1007/s00477-020-01956-0

[6]	Mapping Evapotranspiration of Agricultural Areas in Ghana The Scientific World Journal, 2021 DOI:10.1155/2021/8878631

[7]	Water Stress Regime of Irrigated Crops Based on Remote Sensing and Ground-Based Data Agronomy, 2021 DOI:10.3390/agronomy11061117

[8]	Regional mass variations and its sensitivity to climate drivers over glaciers of Karakoram and Himalayas GIScience & Remote Sensing, 2021 DOI:10.1080/15481603.2021.1930730

[9]	Evapotranspiration estimation using SEBAL algorithm integrated with remote sensing and experimental methods International Journal of Digital Earth, 2021 DOI:10.1080/17538947.2021.1962996

[10]	Regional mass variations and its sensitivity to climate drivers over glaciers of Karakoram and Himalayas GIScience & Remote Sensing, 2021 DOI:10.1080/15481603.2021.1930730

[11]	Forecasting daily evapotranspiration using artificial neural networks for sustainable irrigation scheduling Irrigation Science, 2021 DOI:10.1007/s00271-021-00751-1

[12]	Evapotranspiration estimation using SEBAL algorithm integrated with remote sensing and experimental methods International Journal of Digital Earth, 2021 DOI:10.1080/17538947.2021.1962996

[13]	Surface Albedo and Temperature Models for Surface Energy Balance Fluxes and Evapotranspiration Using SEBAL and Landsat 8 over Cerrado-Pantanal, Brazil Sensors, 2021 DOI:10.3390/s21217196

[14]	Are Remote Sensing Evapotranspiration Models Reliable Across South American Ecoregions? Water Resources Research, 2021 DOI:10.1029/2020WR028752

[15]	Spatiotemporal variability of vegetation due to drought dynamics (2012–2017): a case study of the Upper Paraíba River basin, Brazil Natural Hazards, 2020 DOI:10.1007/s11069-020-03940-x

[16]	Impact of changes in surface cover on energy balance in a tropical city by remote sensing: A study case in Brazil Remote Sensing Applications: Society and Environment, 2020 DOI:10.1016/j.rsase.2020.100373

[17]	Review of approaches for the estimation of sensible heat flux in remote sensing-based evapotranspiration models Journal of Applied Remote Sensing, 2020 DOI:10.1117/1.JRS.14.041501

[18]	Basin scale rainfall-evapotranspiration dynamics in a tropical semiarid environment during dry and wet years International Journal of Applied Earth Observation and Geoinformation, 2019 DOI:10.1016/j.jag.2018.10.007

[19]	The Performance of Satellite-Based Actual Evapotranspiration Products and the Assessment of Irrigation Efficiency in Egypt Water, 2019 DOI:10.3390/w11091913

[20]	Basin scale rainfall-evapotranspiration dynamics in a tropical semiarid environment during dry and wet years International Journal of Applied Earth Observation and Geoinformation, 2019 DOI:10.1016/j.jag.2018.10.007

[21]	Basin scale rainfall-evapotranspiration dynamics in a tropical semiarid environment during dry and wet years International Journal of Applied Earth Observation and Geoinformation, 2019 DOI:10.1016/j.jag.2018.10.007

[22]	Modeling Water and Heat Balance Components for Large Agricultural Region Utilizing Information from Meteorological Satellites Water Resources, 2018 DOI:10.1134/S0097807818050147

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