Show simple item record

dc.contributor.authorJiménez-Bello, Miguel Ángel
dc.contributor.authorCastel, Juan R.
dc.contributor.authorTesti, Luca
dc.contributor.authorIntrigliolo, Diego S.
dc.date.accessioned2017-06-01T10:12:19Z
dc.date.available2017-06-01T10:12:19Z
dc.date.issued2015
dc.identifier.citationJimenez-Bello, Miguel Angel, Castel, J. R., Testi, Luca, Intrigliolo, Diego S. (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.
dc.identifier.issn1939-1404
dc.identifier.urihttp://hdl.handle.net/20.500.11939/5411
dc.description.abstractA 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.
dc.language.isoen
dc.titleAssessment of a Remote Sensing Energy Balance Methodology (SEBAL) Using Different Interpolation Methods to Determine Evapotranspiration in a Citrus Orchard
dc.typearticle
dc.authorAddressInstituto Valenciano de Investigaciones Agrarias (IVIA), Carretera CV-315, Km. 10’7, 46113 Moncada (Valencia), Españaes
dc.date.issuedFreeFormAPR 2015
dc.entidadIVIACentro para el Desarrollo de la Agricultura Sostenible
dc.entidadIVIAServicio de Tecnología del Riego
dc.identifier.doi10.1109/JSTARS.2015.2418817
dc.journal.issueNumber4
dc.journal.titleIeee Journal of Selected Topics in Applied Earth Observations and Remote Sensing
dc.journal.volumeNumber8
dc.page.final1477
dc.page.initial1465
dc.rights.accessRightsopenAccess
dc.source.typeImpreso
dc.type.hasVersionacceptedVersion


Files in this item

This item appears in the following Collection(s)

Show simple item record