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Combination of satellite imagery with meteorological data for estimating reference evapotranspiration

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Combination of satellite imagery with meteorological data for estimating reference evapotranspiration

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dc.contributor.author Montero, D. es_ES
dc.contributor.author Echeverry, F. es_ES
dc.contributor.author Hernández, F. es_ES
dc.date.accessioned 2018-07-10T07:01:41Z
dc.date.available 2018-07-10T07:01:41Z
dc.date.issued 2018-06-29
dc.identifier.issn 1133-0953
dc.identifier.uri http://hdl.handle.net/10251/105602
dc.description.abstract [EN] The Food and Agriculture Organization of the United Nations (FAO) in its publication No. 56 of the Irrigation and Drainage Series presents the FAO Penman-Monteith procedure for the estimation of reference evapotranspiration from meteorological data, however, its calculation may be complicated in areas where there are no weather stations. This paper presents an evaluation of the potential of the Land Surface Temperature and Digital Elevation Models products derived from the MODIS and ASTER sensors, both on board the Terra EOS AM-1 satellite, for the estimation of reference evapotranspiration using the Penman-Monteith FAO-56, Hargreaves, Thornthwaite and Blaney-Criddle models. The four models were compared with the method proposed by FAO calculated with the observed data of a ground based meteorological station, finding a significant relation with the models Penman-Monteith FAO-56 and Hargreaves. es_ES
dc.description.abstract [ES] La Organización de las Naciones Unidas para la Alimentación y la Agricultura (FAO) en su publicación No 56 de la Serie de Riego y Drenaje presenta el procedimiento FAO Penman-Monteith para la estimación de la evapotranspiración de referencia a partir de datos meteorológicos, no obstante, su cálculo puede complicarse en zonas donde no se cuenta con estaciones meteorológicas. El presente artículo exhibe una evaluación del potencial de productos de Temperatura Superficial Terrestre y Modelos Digitales de Elevación derivados de imágenes adquiridas por los sensores MODIS y ASTER, ambos a bordo del satélite Terra EOS AM-1, para la estimación de la evapotranspiración de referencia utilizando los modelos de Penman-Monteith FAO-56, Hargreaves, Thornthwaite y Blaney-Criddle. Los cuatro modelos fueron comparados con el método propuesto por la FAO calculado con datos observados de una estación meteorológica en tierra, encontrando una relación significativa con los modelos Penman-Monteith FAO-56 y Hargreaves. es_ES
dc.description.sponsorship The authors thank the Sugarcane Research Center of Colombia (Cenicaña) for providing the necessary data and sharing their knowledge in several of the areas covered here. es_ES
dc.language Inglés es_ES
dc.publisher Universitat Politècnica de València
dc.relation.ispartof Revista de Teledetección
dc.rights Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) es_ES
dc.subject Land surface temperature es_ES
dc.subject MODIS es_ES
dc.subject ASTER es_ES
dc.subject Reference evapotranspiration es_ES
dc.subject FAO es_ES
dc.subject Temperatura Superficial Terrestre es_ES
dc.subject Evapotranspiración de referencia es_ES
dc.title Combination of satellite imagery with meteorological data for estimating reference evapotranspiration es_ES
dc.title.alternative Combinación de imágenes satelitales con datos meteorológicos para la estimación de la evapotranspiración de referencia es_ES
dc.type Artículo es_ES
dc.date.updated 2018-07-09T07:15:41Z
dc.identifier.doi 10.4995/raet.2018.7688
dc.rights.accessRights Abierto es_ES
dc.description.bibliographicCitation Montero, D.; Echeverry, F.; Hernández, F. (2018). Combination of satellite imagery with meteorological data for estimating reference evapotranspiration. Revista de Teledetección. (51):75-85. https://doi.org/10.4995/raet.2018.7688 es_ES
dc.description.accrualMethod SWORD es_ES
dc.relation.publisherversion https://doi.org/10.4995/raet.2018.7688 es_ES
dc.description.upvformatpinicio 75 es_ES
dc.description.upvformatpfin 85 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.issue 51
dc.identifier.eissn 1988-8740
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