Evapotranspiration Estimate over an Almond Orchard Using Landsat Satellite ObservationsReport as inadecuate


Evapotranspiration Estimate over an Almond Orchard Using Landsat Satellite Observations


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1

College of Geoscience and Surveying Engineering, China University of Mining and Technology Beijing, Beijing 100086, China

2

Department of Land, Air and Water Resources, University of California, Davis, CA 95616, USA

3

Department of Crop and Soil Science, Oregon State University, Corvallis, OR 97331, USA

4

University of California Cooperative Extension, Bakersfield, CA 93307, USA





*

Author to whom correspondence should be addressed.



Academic Editors: George P. Petropoulos and Prasad S. Thenkabail

Abstract California growers face challenges with water shortages and there is a strong need to use the least amount of water while optimizing yield. Timely information on evapotranspiration ET, a dominant component of crop consumptive water use, is critical for growers to tailor irrigation management based on in-field spatial variability and in-season variations. We evaluated the performance of a remote sensing-based approach, Mapping Evapotranspiration at high Resolution with Internalized Calibration METRIC, in mapping ET over an almond orchard in California, driven by Landsat satellite observations. Reference ET from a network of weather stations over well-watered grass ETo was used for the internal calibration and for deriving ET at daily and extended time period, instead of alfalfa based reference evapotranspiration ETr. Our study showed that METRIC daily ET estimates during Landsat overpass dates agreed well with the field measurements. During 2009–2012, a root mean square error RMSE of 0.53 mm-day and a coefficient of determination R2 of 0.87 were found between METRIC versus observed daily ET. Monthly ET estimates had a higher accuracy, with a RMSE of 12.08 mm-month, a R2 of 0.90, and a relatively small relative mean difference RMD of 9.68% during 2009–2012 growing seasons. Net radiation and Normalized Difference Vegetation Index NDVI from remote sensing observations were highly correlated with spatial and temporal ET estimates. An empirical model was developed to estimate daily ET using NDVI, net radiation Rn, and vapor pressure deficit VPD. The validation showed that the accuracy of this easy-to-use empirical method was slightly lower than that of METRIC but still reasonable, with a RMSE of 0.71 mm-day when compared to ground measurements. The remote sensing based ET estimate will support a variety of State and local interests in water use and irrigation management, for both planning and regulatory-compliance purposes, and it provides the farmers observation-based guidance for site-specific and time-sensitive irrigation management. View Full-Text

Keywords: evapotranspiration; landsat 5 TM and 7 ETM+; METRIC; almond orchard; consumptive water use; central valley evapotranspiration; landsat 5 TM and 7 ETM+; METRIC; almond orchard; consumptive water use; central valley





Author: Ruyan He 1,2, Yufang Jin 2,* , Maziar M. Kandelous 3, Daniele Zaccaria 2, Blake L. Sanden 4, Richard L. Snyder 2, Jinbao Jiang 1 and Jan W. Hopmans 2

Source: http://mdpi.com/



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