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dc.contributor.authorKnipper, Kyle R.
dc.contributor.authorKustas, William P.
dc.contributor.authorAnderson, Martha C.
dc.contributor.authorAlfieri, Joseph G.
dc.contributor.authorPrueger, John H.
dc.contributor.authorHain, Christopher R.
dc.contributor.authorGao, Feng
dc.contributor.authorYang, Yun
dc.contributor.authorMcKee, Lynn G.
dc.contributor.authorNieto, Hector
dc.contributor.authorHipps, Lawrence E.
dc.contributor.authorAlsina, Maria Mar
dc.contributor.authorSanchez, Luis
dc.contributor.otherProducció Vegetalca
dc.date.accessioned2020-06-15T08:46:15Z
dc.date.available2020-06-15T08:46:15Z
dc.date.issued2018-10-10
dc.identifier.citationKnipper, Kyle R., William P. Kustas, Martha C. Anderson, Joseph G. Alfieri, John H. Prueger, Christopher R. Hain, and Feng Gao et al. 2018. "Evapotranspiration Estimates Derived Using Thermal-Based Satellite Remote Sensing And Data Fusion For Irrigation Management In California Vineyards". Irrigation Science 37 (3): 431-449. doi:10.1007/s00271-018-0591-y.ca
dc.identifier.issn0342-7188ca
dc.identifier.urihttp://hdl.handle.net/20.500.12327/845
dc.description.abstractIrrigation in the Central Valley of California is essential for successful wine grape production. With reductions in water availability in much of California due to drought and competing water-use interests, it is important to optimize irrigation management strategies. In the current study, we investigate the utility of satellite-derived maps of evapotranspiration (ET) and the ratio of actual-to-reference ET (fRET) based on remotely sensed land-surface temperature (LST) imagery for monitoring crop water use and stress in vineyards. The Disaggregated Atmosphere Land EXchange Inverse (ALEXI/DisALEXI) surface-energy balance model, a multi-scale ET remote-sensing framework with operational capabilities, is evaluated over two Pinot noir vineyard sites in central California that are being monitored as part of the Grape Remote-Sensing Atmospheric Profile and Evapotranspiration eXperiment (GRAPEX). A data fusion approach is employed to combine ET time-series retrievals from multiple satellite platforms to generate estimates at both the high spatial (30 m) and temporal (daily) resolution required for field-scale irrigation management. Comparisons with micrometeorological data indicate reasonable model performance, with mean absolute errors of 0.6 mm day−1 in ET at the daily time step and minimal bias. Values of fRET agree well with tower observations and reflect known irrigation. Spatiotemporal analyses illustrate the ability of ALEXI/DisALEXI/data fusion package to characterize heterogeneity in ET and fRET both within a vineyard and over the surrounding landscape. These findings will inform the development of strategies for integrating ET mapping time series into operational irrigation management framework, providing actionable information regarding vineyard water use and crop stress at the field and regional scale and at daily to multi-annual time scales.ca
dc.format.extent29ca
dc.language.isoengca
dc.publisherSpringer Verlagca
dc.relation.ispartofIrrigation Scienceca
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internationalca
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.titleEvapotranspiration estimates derived using thermal-based satellite remote sensing and data fusion for irrigation management in California vineyardsca
dc.typeinfo:eu-repo/semantics/articleca
dc.description.versioninfo:eu-repo/semantics/acceptedVersionca
dc.rights.accessLevelinfo:eu-repo/semantics/openAccess
dc.embargo.terms12 mesosca
dc.subject.udc631ca
dc.identifier.doihttps://doi.org/10.1007/s00271-018-0591-yca
dc.contributor.groupÚs Eficient de l'Aigua en Agriculturaca


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Except where otherwise noted, this item's license is described as http://creativecommons.org/licenses/by-nc-nd/4.0/