Input/output inconsistencies of daily evapotranspiration conducted empirically using remote sensing data in arid environments

The reliable quantification of daily evapotranspiration (ET) over vast croplands is a quest in many scholarly works aimed at the precise practice of water resources management. Remote sensing–based empirical and nonempirical models were developed to overcome large-scale quantification issues, which...

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Autores principales:	Elhag Mohamed, Bahrawi Jarbou, Boteva Silvena
Formato:	article
Lenguaje:	EN
Publicado:	De Gruyter 2021
Materias:	daily evapotranspiration desirability function neural network analysis sebs Geology QE1-996.5
Acceso en línea:	https://doaj.org/article/10ba8a2f080a4dc1bfb63f1bd897fc21
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spelling	oai:doaj.org-article:10ba8a2f080a4dc1bfb63f1bd897fc212021-12-05T14:10:48ZInput/output inconsistencies of daily evapotranspiration conducted empirically using remote sensing data in arid environments2391-544710.1515/geo-2020-0141https://doaj.org/article/10ba8a2f080a4dc1bfb63f1bd897fc212021-03-01T00:00:00Zhttps://doi.org/10.1515/geo-2020-0141https://doaj.org/toc/2391-5447The reliable quantification of daily evapotranspiration (ET) over vast croplands is a quest in many scholarly works aimed at the precise practice of water resources management. Remote sensing–based empirical and nonempirical models were developed to overcome large-scale quantification issues, which are usually experienced when using conventional approaches for the estimation of ET. The surface energy balance system (SEBS) model was used to quantify the daily ET in the arid/semi-arid over Wadi Ad-Dwaser, Saudi. SEBS input variables are parametrically sensitive and climatic dependent, and the model input/output dependencies are of high comprehensibility; therefore, the optimization analysis of SEBS input/output parameters is the target of the current research. SEBS inputs reciprocal inconsistencies were determined using the artificial neural network analysis, while the output dependencies on the daily ET estimation were mapped. Results demonstrated that the temperature and relative humidity are the most sensitive parameters to be considered in the routine crop monitoring procedure. SEBS output thematic maps showed the robust proportional correlation between the daily ET and the conducted temperature map. Moreover, the estimated daily ET was inversely correlated with the estimated cold sensible heat fluxes. The findings suggest systematic monitoring and forecasting procedures for efficient water-saving management plans in Saudi Arabia.Elhag MohamedBahrawi JarbouBoteva SilvenaDe Gruyterarticledaily evapotranspirationdesirability functionneural network analysissebsGeologyQE1-996.5ENOpen Geosciences, Vol 13, Iss 1, Pp 321-334 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	daily evapotranspiration desirability function neural network analysis sebs Geology QE1-996.5
spellingShingle	daily evapotranspiration desirability function neural network analysis sebs Geology QE1-996.5 Elhag Mohamed Bahrawi Jarbou Boteva Silvena Input/output inconsistencies of daily evapotranspiration conducted empirically using remote sensing data in arid environments
description	The reliable quantification of daily evapotranspiration (ET) over vast croplands is a quest in many scholarly works aimed at the precise practice of water resources management. Remote sensing–based empirical and nonempirical models were developed to overcome large-scale quantification issues, which are usually experienced when using conventional approaches for the estimation of ET. The surface energy balance system (SEBS) model was used to quantify the daily ET in the arid/semi-arid over Wadi Ad-Dwaser, Saudi. SEBS input variables are parametrically sensitive and climatic dependent, and the model input/output dependencies are of high comprehensibility; therefore, the optimization analysis of SEBS input/output parameters is the target of the current research. SEBS inputs reciprocal inconsistencies were determined using the artificial neural network analysis, while the output dependencies on the daily ET estimation were mapped. Results demonstrated that the temperature and relative humidity are the most sensitive parameters to be considered in the routine crop monitoring procedure. SEBS output thematic maps showed the robust proportional correlation between the daily ET and the conducted temperature map. Moreover, the estimated daily ET was inversely correlated with the estimated cold sensible heat fluxes. The findings suggest systematic monitoring and forecasting procedures for efficient water-saving management plans in Saudi Arabia.
format	article
author	Elhag Mohamed Bahrawi Jarbou Boteva Silvena
author_facet	Elhag Mohamed Bahrawi Jarbou Boteva Silvena
author_sort	Elhag Mohamed
title	Input/output inconsistencies of daily evapotranspiration conducted empirically using remote sensing data in arid environments
title_short	Input/output inconsistencies of daily evapotranspiration conducted empirically using remote sensing data in arid environments
title_full	Input/output inconsistencies of daily evapotranspiration conducted empirically using remote sensing data in arid environments
title_fullStr	Input/output inconsistencies of daily evapotranspiration conducted empirically using remote sensing data in arid environments
title_full_unstemmed	Input/output inconsistencies of daily evapotranspiration conducted empirically using remote sensing data in arid environments
title_sort	input/output inconsistencies of daily evapotranspiration conducted empirically using remote sensing data in arid environments
publisher	De Gruyter
publishDate	2021
url	https://doaj.org/article/10ba8a2f080a4dc1bfb63f1bd897fc21
work_keys_str_mv	AT elhagmohamed inputoutputinconsistenciesofdailyevapotranspirationconductedempiricallyusingremotesensingdatainaridenvironments AT bahrawijarbou inputoutputinconsistenciesofdailyevapotranspirationconductedempiricallyusingremotesensingdatainaridenvironments AT botevasilvena inputoutputinconsistenciesofdailyevapotranspirationconductedempiricallyusingremotesensingdatainaridenvironments
_version_	1718371702820306944

Input/output inconsistencies of daily evapotranspiration conducted empirically using remote sensing data in arid environments

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