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Using remote sensing and GIS techniques for studying irrigation performance of Palo Verde Irrigation District

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dc.contributor.authorTaghvaeian, Saleh, author
dc.contributor.authorNeale, Christopher M. U., author
dc.contributor.authordos Santos, Carlos A. C., author
dc.contributor.authorWatts, Doyle, author
dc.contributor.authorOsterberg, John, author
dc.contributor.authorSritharan, Subramania I., author
dc.contributor.authorU.S. Committee on Irrigation and Drainage, publisher
dc.date.accessioned2020-05-21T11:39:16Z
dc.date.available2020-05-21T11:39:16Z
dc.date.issued2009-11
dc.descriptionPresented at the fifth international conference on irrigation and drainage, Irrigation and drainage for food, energy and the environment on November 3-6, 2009 in Salt Lake City, Utah.
dc.description.abstractManaging water resources in western US has been a challenge for decision makers. In the last few decades, the rapid growth rates of population along with the alarming rates of global warming have added to the complexity of this issue. In this study, remote sensing techniques have been applied to evaluate the performance of agricultural irrigation, the largest consumptive user of water. The study area, "Palo Verde irrigation District" which is located in Riverside and Imperial counties, California, is an old irrigation district with a fairly heterogeneous cropping pattern. Landsat Thematic Mapper satellite images were used to estimate the actual ET using the SEBAL energy balance model. These estimates were integrated to obtain crop water demand for different periods throughout the growing season. The amount of diverted water was also estimated for the same periods, using flow measurements within the Palo Verde irrigation district. The results were analyzed within the ArcGIS environment in conjunction with water conveyance and field boundary layers to evaluate different performance indicators such as relative water supply, overall consumed ratio, depleted fraction, crop water deficit, and relative evapotranspiration. The results of these indicators can help irrigation managers to get a general idea of how the system performs and to identify possible ways of improving it.
dc.format.mediumborn digital
dc.format.mediumproceedings (reports)
dc.identifier.urihttps://hdl.handle.net/10217/207088
dc.languageEnglish
dc.language.isoeng
dc.publisherColorado State University. Libraries
dc.relation.ispartofIrrigation Management
dc.relation.ispartofIrrigation and drainage for food, energy and the environment, Salt Lake City, Utah, November 3-6, 2009
dc.rightsCopyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright.
dc.sourceContained in: Irrigation and drainage for food, energy and the environment, Salt Lake City, Utah, November 3-6, 2009, http://hdl.handle.net/10217/46491
dc.titleUsing remote sensing and GIS techniques for studying irrigation performance of Palo Verde Irrigation District
dc.title.alternativeUSCID fifth international conference
dc.title.alternativeRemote sensing and GIS
dc.typeText

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