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Remote Sens. 2013, 5(8), 3776-3802;

Application of Landsat to Evaluate Effects of Irrigation Forbearance

Department of Biological and Ecological Engineering, Oregon State University, Corvallis, OR 97331, USA
Board of Directors, Klamath Basin Rangeland Trust, Klamath Falls, OR 97601, USA
Department of Biological and Ecological Engineering, Oregon State University, Corvallis, OR 97331, USA
Author to whom correspondence should be addressed.
Received: 15 June 2013 / Revised: 26 July 2013 / Accepted: 30 July 2013 / Published: 2 August 2013
(This article belongs to the Special Issue Advances in Remote Sensing of Crop Water Use Estimation)
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Thirty-meter resolution Landsat data were used to evaluate the effects of irrigation management in the Wood River Valley, Upper Klamath Basin, Oregon. In an effort to reduce water use and leave more of the water resource in-stream, 4,674 ha of previously flood irrigated pasture was managed as dryland pasture. Ground-based measurements over one irrigated and one unirrigated pasture site were used to monitor the difference in evapotranspiration (ET) using the Bowen ratio-energy balance method. These data sets represent point measurements of the response to irrigation, but do not allow for the spatial integration of effects of irrigated versus unirrigated land treatment. Four Landsat scenes of the Wood River Valley during the 2004 growing season were evaluated using reconstructed METRIC algorithms. Comparisons of ET algorithm output with ground-based data for all components of the energy balance, including net radiation, soil heat flux, sensible heat flux and evapotranspiration, were made for the four scenes. The excellent net radiation estimates, along with reasonable estimates of the other components, are demonstrated along with the capability to integrate results to the basin scale. View Full-Text
Keywords: evapotranspiration; Landsat; energy balance evapotranspiration; Landsat; energy balance
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Cuenca, R.H.; Ciotti, S.P.; Hagimoto, Y. Application of Landsat to Evaluate Effects of Irrigation Forbearance. Remote Sens. 2013, 5, 3776-3802.

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