Implementation of a two-source model for estimating the spatial variability of olive evapotranspiration using satellite images and ground-based climate data
| datacite.alternateIdentifier.citation | Water (Switzerland), 10 (3), 2018 | |
| datacite.alternateIdentifier.doi | 10.3390/w10030339 | |
| datacite.alternateIdentifier.issn | 2073-4441 | |
| datacite.creator | Fuentes-Peñailillo, Fernando | |
| datacite.creator | Ortega-Farías, Samuel Orlando | |
| datacite.creator | Acevedo-Opazo, César | |
| datacite.creator | Fonseca-Luengo, David | |
| datacite.date | 2018 | |
| datacite.rights | Acceso abierto | |
| datacite.subject | Crop Water Requirements | |
| datacite.subject | Latent Heat Flux | |
| datacite.subject | Olive Orchard | |
| datacite.subject | Remote Sensing | |
| datacite.subject | Spatial Variability | |
| datacite.subject | Climate Models | |
| datacite.subject | Errors | |
| datacite.subject | Evapotranspiration | |
| datacite.subject | Farms | |
| datacite.subject | Latent Heat | |
| datacite.subject | Mean Square Error | |
| datacite.subject | Orchards | |
| datacite.subject | Remote Sensing | |
| datacite.subject | Satellites | |
| datacite.subject | Trees (mathematics) | |
| datacite.subject | Actual Evapotranspiration | |
| datacite.subject | Crop Water Requirements | |
| datacite.subject | Ground Measurements | |
| datacite.subject | Mean Absolute Error | |
| datacite.subject | Olive Orchards | |
| datacite.subject | Phenological Stage | |
| datacite.subject | Root Mean Square Errors | |
| datacite.subject | Spatial Variability | |
| datacite.subject | Heat Flux | |
| datacite.subject | Clear Sky | |
| datacite.subject | Drip Irrigation | |
| datacite.subject | Evapotranspiration | |
| datacite.subject | Ground-based Measurement | |
| datacite.subject | Heat Flux | |
| datacite.subject | Landsat | |
| datacite.subject | Latent Heat Flux | |
| datacite.subject | Model | |
| datacite.subject | Net Radiation | |
| datacite.subject | Performance Assessment | |
| datacite.subject | Plant Water Relations | |
| datacite.subject | Remote Sensing | |
| datacite.subject | Satellite Imagery | |
| datacite.subject | Shrub | |
| datacite.subject | Spatial Variation | |
| datacite.title | Implementation of a two-source model for estimating the spatial variability of olive evapotranspiration using satellite images and ground-based climate data | |
| dc.contributor.author | FONSECA LUENGO, DAVID ALEXANDER | |
| dc.date.accessioned | 2025-10-06T14:22:10Z | |
| dc.date.available | 2025-10-06T14:22:10Z | |
| dc.description.abstract | A 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<inf>i</inf>) and soil heat flux (G<inf>i</inf>) 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 Rn<inf>i</inf> and G<inf>i</inf> with errors of between 4.0% and 8.0% of measured values and with RMSE and MAE between 25 and 39W m-2. © 2018 Elsevier B.V., All rights reserved. | |
| dc.description.ia_keyword | were, values, model, satellite, olive, images, ground | |
| dc.format | ||
| dc.identifier.uri | https://repositoriodigital.uct.cl/handle/10925/6967 | |
| dc.language.iso | en | |
| dc.publisher | Multidisciplinary Digital Publishing Institute (MDPI) | |
| dc.relation | instname: ANID | |
| dc.relation | reponame: Repositorio Digital RI2.0 | |
| dc.rights.driver | info:eu-repo/semantics/openAccess | |
| dc.source | Water (Switzerland) | |
| dc.subject.ia_ods | ODS 13: Acción por el clima | |
| dc.subject.ia_oecd1n | Ciencias Naturales | |
| dc.subject.ia_oecd2n | Ciencias Biológicas | |
| dc.subject.ia_oecd3n | Ciencias del Medio Ambiente | |
| dc.type.driver | info:eu-repo/semantics/article | |
| dc.type.driver | http://purl.org/coar/resource_type/c_2df8fbb1 | |
| dc.type.openaire | info:eu-repo/semantics/publishedVersion | |
| dspace.entity.type | Publication | |
| oaire.citationEdition | 2018 | |
| oaire.citationIssue | 3 | |
| oaire.citationTitle | Water (Switzerland) | |
| oaire.citationVolume | 10 | |
| oaire.fundingReference | ANID FONDECYT 1130729 (Regular), FONDEF D10I1157 | |
| oaire.fundingReference | Universidad de Talca A2C2 | |
| oaire.licenseCondition | Obra bajo licencia Creative Commons Atribución 4.0 Internacional | |
| oaire.licenseCondition.uri | https://creativecommons.org/licenses/by/4.0/ | |
| oaire.resourceType | Artículo | |
| oaire.resourceType.en | Article | |
| relation.isAuthorOfPublication | 2abb7039-98e6-40f4-93d6-49ed4f6258aa | |
| relation.isAuthorOfPublication.latestForDiscovery | 2abb7039-98e6-40f4-93d6-49ed4f6258aa | |
| uct.catalogador | jvu | |
| uct.comunidad | Recursos Naturales | en_US |
| uct.departamento | Departamento de Ciencias Ambientales | |
| uct.indizacion | Science Citation Index Expanded - SCIE | |
| uct.indizacion | Scopus | |
| uct.indizacion | Ei Compendex | |
| uct.indizacion | PubMed Central (PMC) | |
| uct.indizacion | DOAJ |
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