dc.creatorFuentes-Penailillo, Fernando
dc.creatorOrtega-Farias, Samuel
dc.creatorAcevedo-Opazo, Cesar
dc.creatorFonseca Luengo, David
dc.date2018
dc.date2021-04-30T16:34:18Z
dc.date2021-04-30T16:34:18Z
dc.date.accessioned2021-06-14T22:03:52Z
dc.date.available2021-06-14T22:03:52Z
dc.identifierWATER,Vol.10,,2018
dc.identifierhttp://repositoriodigital.uct.cl/handle/10925/3023
dc.identifier10.3390/w10030339
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/3299686
dc.descriptionA study was carried out to evaluate the potential use of the two-source Shuttleworth and Wallace (SW) model to compute the intra-orchard spatial variability of actual evapotranspiration (ET) of olive trees using satellite images and ground-based climate data. The study was conducted in a drip-irrigated olive orchard using satellite images (Landsat 7 ETM+), which were acquired on clear sky days during the main phenological stages (2009/10 growing season). The performance of the SW model was evaluated using instantaneous latent heat flux (LE) measurements that were obtained from an eddy correlation system. At the time of satellite overpass, the estimated values of net radiation (Rn-i) and soil heat flux (G(i)) were compared with ground measurements from a four-way net radiometer and soil heat flux plates, respectively. The results indicated that the SW model subestimated instantaneous LE (W m(-2)) and daily ET (mm d(-1)), with errors of 12% and 10% of observed values, respectively. The root mean square error (RMSE) and mean absolute error (MAE) values for instantaneous LE were 26 and 20 W m(-2), while those for daily values of ET were 0.31 and 0.28 mm d(-1), respectively. Finally, the submodels computed Rni and Gi with errors of between 4.0% and 8.0% of measured values and with RMSE and MAE between 25 and 39W m(-2).
dc.languageen
dc.publisherMDPI
dc.sourceWATER
dc.subjectcrop water requirements
dc.subjectlatent heat flux
dc.subjectremote sensing
dc.subjectolive orchard
dc.subjectspatial variability
dc.titleImplementation of a Two-Source Model for Estimating the Spatial Variability of Olive Evapotranspiration Using Satellite Images and Ground-Based Climate Data
dc.typeArticle


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