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dc.contributor.authorBellvert, Joaquim
dc.contributor.authorMarsal, Jordi
dc.contributor.authorGirona, Joan
dc.contributor.authorGonzález-Dugo, Victoria
dc.contributor.authorFereres Castiel, Elías
dc.contributor.authorUstin, Susan L.
dc.contributor.authorZarco-Tejada, Pablo J.
dc.date.accessioned2017-11-07T13:47:06Z
dc.date.available2017-11-07T13:47:06Z
dc.date.issued2016
dc.identifier.urihttp://hdl.handle.net/10396/15351
dc.description.abstractIn the current scenario of worldwide limited water supplies, conserving water is a major concern in agricultural areas. Characterizing within-orchard spatial heterogeneity in water requirements would assist in improving irrigation water use efficiency and conserve water. The crop water stress index (CWSI) has been successfully used as a crop water status indicator in several fruit tree species. In this study, the CWSI was developed in three Prunus persica L. cultivars at different phenological stages of the 2012 to 2014 growing seasons, using canopy temperature measurements of well-watered trees. The CWSI was then remotely estimated using high-resolution thermal imagery acquired from an airborne platform and related to leaf water potential (YL) throughout the season. The feasibility of mapping within-orchard spatial variability of YL from thermal imagery was also explored. Results indicated that CWSI can be calculated using a common non-water-stressed baseline (NWSB), upper and lower limits for the entire growing season and for the three studied cultivars. Nevertheless, a phenological effect was detected in the CWSI vs. YL relationships. For a specific given CWSI value, YL was more negative as the crop developed. This different seasonal response followed the same trend for the three studied cultivars. The approach presented in this study demonstrated that CWSI is a feasible method to assess the spatial variability of tree water status in heterogeneous orchards, and to derive YL maps throughout a complete growing season. A sensitivity analysis of varying pixel size showed that a pixel size of 0.8 m or less was needed for precise YL mapping of peach and nectarine orchards with a tree crown area between 3.0 to 5.0 m2es_ES
dc.format.mimetypeapplication/pdfes_ES
dc.language.isoenges_ES
dc.publisherMDPIes_ES
dc.rightshttps://creativecommons.org/licenses/by/4.0/es_ES
dc.sourceRemote Sensing 8(1), 39 (2016)es_ES
dc.subjectRemote sensinges_ES
dc.subjectPeaches_ES
dc.subjectTemperaturees_ES
dc.subjectWater statuses_ES
dc.subjectLeaf water potentiales_ES
dc.subjectCWSIes_ES
dc.titleAirborne Thermal Imagery to Detect the Seasonal Evolution of Crop Water Status in Peach, Nectarine and Saturn Peach Orchardses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publisherversionhttp://dx.doi.org/10.3390/rs8010039es_ES
dc.relation.projectIDGobierno de España. IPT-2011-1786-060000 (IMPACTO)es_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES


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