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Open AccessEditor’s ChoiceArticle

Monitoring Crop Evapotranspiration and Crop Coefficients over an Almond and Pistachio Orchard Throughout Remote Sensing

1
Efficient Use of Water in Agriculture Program, Institute of Agri-Food, Research and Technolgy (IRTA), Fruitcentre, Parc Científic i Tecnològic de Gardeny, 25003 Lleida, Spain
2
Department of Viticulture and Enology, University of California, Davis, CA 95616, USA
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Center of Spatial Technologies (CSTARS), Department of Land, Air and Water Resources (LAWR), University of California, Davis, CA 95616, USA
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Département Optique Théorique et Appliquée (DOTA), ONERA—The French Aerospace Lab, 2 Avenue Edouard Belin, 31000 Toulouse, France
5
Institute for Soil, Water and Environmental Sciences. Agricultural Research Organization (ARO), Volcani Research Center, Bet Dagan 50250, Israel
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School of Natural Sciences, California State University, Monterey Bay, 100 Campus Center, Seaside, CA 93955, USA
7
University of California, Cooperative Extension, 1031 S. Mt.Vernon Ave., Bakersfield, CA 93397, USA
*
Author to whom correspondence should be addressed.
Remote Sens. 2018, 10(12), 2001; https://doi.org/10.3390/rs10122001
Received: 23 October 2018 / Revised: 5 December 2018 / Accepted: 6 December 2018 / Published: 10 December 2018
(This article belongs to the Special Issue Remote Sensing for Crop Water Management)
In California, water is a perennial concern. As competition for water resources increases due to growth in population, California’s tree nut farmers are committed to improving the efficiency of water used for food production. There is an imminent need to have reliable methods that provide information about the temporal and spatial variability of crop water requirements, which allow farmers to make irrigation decisions at field scale. This study focuses on estimating the actual evapotranspiration and crop coefficients of an almond and pistachio orchard located in Central Valley (California) during an entire growing season by combining a simple crop evapotranspiration model with remote sensing data. A dataset of the vegetation index NDVI derived from Landsat-8 was used to facilitate the estimation of the basal crop coefficient (Kcb), or potential crop water use. The soil water evaporation coefficient (Ke) was measured from microlysimeters. The water stress coefficient (Ks) was derived from airborne remotely sensed canopy thermal-based methods, using seasonal regressions between the crop water stress index (CWSI) and stem water potential (Ψstem). These regressions were statistically-significant for both crops, indicating clear seasonal differences in pistachios, but not in almonds. In almonds, the estimated maximum Kcb values ranged between 1.05 to 0.90, while for pistachios, it ranged between 0.89 to 0.80. The model indicated a difference of 97 mm in transpiration over the season between both crops. Soil evaporation accounted for an average of 16% and 13% of the total actual evapotranspiration for almonds and pistachios, respectively. Verification of the model-based daily crop evapotranspiration estimates was done using eddy-covariance and surface renewal data collected in the same orchards, yielding an R2 ≥ 0.7 and average root mean square errors (RMSE) of 0.74 and 0.91 mm·day−1 for almond and pistachio, respectively. It is concluded that the combination of crop evapotranspiration models with remotely-sensed data is helpful for upscaling irrigation information from plant to field scale and thus may be used by farmers for making day-to-day irrigation management decisions. View Full-Text
Keywords: remote sensing; evapotranspiration; CWSI; thermal images; almond; pistachio remote sensing; evapotranspiration; CWSI; thermal images; almond; pistachio
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MDPI and ACS Style

Bellvert, J.; Adeline, K.; Baram, S.; Pierce, L.; Sanden, B.L.; Smart, D.R. Monitoring Crop Evapotranspiration and Crop Coefficients over an Almond and Pistachio Orchard Throughout Remote Sensing. Remote Sens. 2018, 10, 2001.

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