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Assessment of a Remote Sensing Energy Balance Methodology (SEBAL) Using Different Interpolation Methods to Determine Evapotranspiration in a Citrus Orchard

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Assessment of a Remote Sensing Energy Balance Methodology (SEBAL) Using Different Interpolation Methods to Determine Evapotranspiration in a Citrus Orchard

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dc.contributor.author Jiménez Bello, Miguel Ángel es_ES
dc.contributor.author Castel, Juan R. es_ES
dc.contributor.author Testi, Luca es_ES
dc.contributor.author INTRIGLIOLO MOLINA, DIEGO SEBASTIANO es_ES
dc.date.accessioned 2016-06-07T07:29:14Z
dc.date.available 2016-06-07T07:29:14Z
dc.date.issued 2015-04
dc.identifier.issn 1939-1404
dc.identifier.uri http://hdl.handle.net/10251/65358
dc.description "(c) 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works." es_ES
dc.description.abstract A surface energy balance algorithm for land (SEBAL) for estimating evapotranspiration (ET) has been parameterized and tested in a 400-ha drip irrigated citrus orchard. Simultaneously, during three growing seasons, energy fluxes were measured using Eddy Covariance. Instantaneous fluxes obtained with SEBAL using 10 images from Landsat-5 were compared with the measured fluxes. The Perrier function was the best method for properly estimating the roughness momentum length for discontinuous canopies, as in citrus orchards. Crop height was estimated using LIDAR data. In general, SEBAL performed well for net radiation estimation but failed in soil heat flux estimation. Latent heat estimations from the SEBAL model had a relative root mean square error (rRMSE) of 0.06 when compared with measurements obtained by Eddy Covariance. Three procedures were tested for up-scaling the instantaneous ET estimates from SEBAL to daily ET values: 1) assuming the fraction between the actual ET and the reference ET is constant throughout the day; 2) using actual local crop coefficient curves; and 3) using an up-scaling factor where the fraction of hourly ET to daily ET equals the ratio of hourly to daily global solar radiation. This last method gave acceptable results for daily ET estimations (rRMSE = 0.09) and for 15day ET (rRMSE = 0.19), and its main advantage is that no local data are required. It is concluded that the SEBAL methodology can be successfully applied for determining actual ET, even in discontinuous citrus canopies. However, additional parameterizations of momentum roughness length were needed in order to obtain reliable ET determinations. es_ES
dc.description.sponsorship This work was supported in part by MINECO project Rideco-Consolider CSD2006-0067 and in part by Interreg IV Sudoe project "Telerieg." en_EN
dc.language Inglés es_ES
dc.publisher Institute of Electrical and Electronics Engineers (IEEE) es_ES
dc.relation Interreg IV Sudoe project "Telerieg" es_ES
dc.relation MINECO project Rideco-Consolider CSD2006-0067 es_ES
dc.relation.ispartof IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Terms-Citrus es_ES
dc.subject evapotranspiration es_ES
dc.subject remote sensing es_ES
dc.subject SEBAL es_ES
dc.subject.classification INGENIERIA HIDRAULICA es_ES
dc.title Assessment of a Remote Sensing Energy Balance Methodology (SEBAL) Using Different Interpolation Methods to Determine Evapotranspiration in a Citrus Orchard es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1109/JSTARS.2015.2418817
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto Universitario de Ingeniería del Agua y del Medio Ambiente - Institut Universitari d'Enginyeria de l'Aigua i Medi Ambient es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería Hidráulica y Medio Ambiente - Departament d'Enginyeria Hidràulica i Medi Ambient es_ES
dc.description.bibliographicCitation Jiménez Bello, MA.; Castel, JR.; Testi, L.; Intrigliolo Molina, DS. (2015). Assessment of a Remote Sensing Energy Balance Methodology (SEBAL) Using Different Interpolation Methods to Determine Evapotranspiration in a Citrus Orchard. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 8(4):1465-1477. doi:10.1109/JSTARS.2015.2418817 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://dx.doi.org/10.1109/JSTARS.2015.2418817 es_ES
dc.description.upvformatpinicio 1465 es_ES
dc.description.upvformatpfin 1477 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 8 es_ES
dc.description.issue 4 es_ES
dc.relation.senia 299014 es_ES
dc.identifier.eissn 2151-1535


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