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Determining Evapotranspiration by Using Combination Equation Models with Sentinel-2 Data and Comparison with Thermal-Based Energy Balance in a California Irrigated Vineyard

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Department of Agricultural Sciences, University of Naples Federico II, 80055 Portici, Italy
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Ariespace s.r.l., Centro Direzionale IS. A3, 80143 Naples, Italy
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Hydrology and Remote Sensing Lab, USDA ARS, Beltsville, MD 20705, USA
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Sustainable Agricultural Water Systems (SAWS), USDA ARS, Davis, CA 95616, USA
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E & J Gallo Winery, Winegrowing Research, Modesto, CA 95354, USA
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NASA Marshall Space Flight Center, Huntsville, AL 35805, USA
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National Laboratory for Agriculture and the Environment, USDA ARS, Ames, IA 50011, USA
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Crops Pathology and Genetics Research Laboratory, USDA ARS, Davis, CA 95616, USA
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Department of Land, Air and Water Resources, University of California, Davis, CA 95616, USA
*
Author to whom correspondence should be addressed.
Academic Editor: Catherine Ottlé
Remote Sens. 2021, 13(18), 3720; https://doi.org/10.3390/rs13183720
Received: 9 August 2021 / Revised: 11 September 2021 / Accepted: 15 September 2021 / Published: 17 September 2021
(This article belongs to the Section Remote Sensing in Agriculture and Vegetation)
A new approach is proposed to derive evapotranspiration (E) and irrigation requirements by implementing the combination equation models of Penman–Monteith and Shuttleworth and Wallace with surface parameters and resistances derived from Sentinel-2 data. Surface parameters are derived from Sentinel-2 and used as an input in these models; namely: the hemispherical shortwave albedo, leaf area index and water status of the soil and canopy ensemble evaluated by using a shortwave infrared-based index. The proposed approach has been validated with data acquired during the GRAPEX (Grape Remote-sensing Atmospheric Profile and Evapotranspiration eXperiment) in California irrigated vineyards. The E products obtained with the combination equation models are evaluated by using eddy covariance flux tower measurements and are additionally compared with surface energy balance models with Landsat-7 and -8 thermal infrared data. The Shuttleworth and Wallace (S-W S-2) model provides an accuracy comparable to thermal-based methods when using local meteorological data, with daily E errors < 1 mm/day, which increased from 1 to 1.5 mm/day using meteorological forcing data from atmospheric models. The advantage of using the S-W S-2 modeling approach for monitoring ET is the high temporal revisit time of the Sentinel-2 satellites and the finer pixel resolution. These results suggest that, by integrating the thermal-based data fusion approach with the S-W S-2 modeling scheme, there is the potential to increase the frequency and reliability of satellite-based daily evapotranspiration products. View Full-Text
Keywords: evapotranspiration; irrigation management; Penman–Monteith; Shuttleworth and Wallace; Sentinel-2; vineyards; GRAPEX evapotranspiration; irrigation management; Penman–Monteith; Shuttleworth and Wallace; Sentinel-2; vineyards; GRAPEX
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MDPI and ACS Style

D’Urso, G.; Bolognesi, S.F.; Kustas, W.P.; Knipper, K.R.; Anderson, M.C.; Alsina, M.M.; Hain, C.R.; Alfieri, J.G.; Prueger, J.H.; Gao, F.; McKee, L.G.; De Michele, C.; McElrone, A.J.; Bambach, N.; Sanchez, L.; Belfiore, O.R. Determining Evapotranspiration by Using Combination Equation Models with Sentinel-2 Data and Comparison with Thermal-Based Energy Balance in a California Irrigated Vineyard. Remote Sens. 2021, 13, 3720. https://doi.org/10.3390/rs13183720

AMA Style

D’Urso G, Bolognesi SF, Kustas WP, Knipper KR, Anderson MC, Alsina MM, Hain CR, Alfieri JG, Prueger JH, Gao F, McKee LG, De Michele C, McElrone AJ, Bambach N, Sanchez L, Belfiore OR. Determining Evapotranspiration by Using Combination Equation Models with Sentinel-2 Data and Comparison with Thermal-Based Energy Balance in a California Irrigated Vineyard. Remote Sensing. 2021; 13(18):3720. https://doi.org/10.3390/rs13183720

Chicago/Turabian Style

D’Urso, Guido, Salvatore F. Bolognesi, William P. Kustas, Kyle R. Knipper, Martha C. Anderson, Maria M. Alsina, Christopher R. Hain, Joseph G. Alfieri, John H. Prueger, Feng Gao, Lynn G. McKee, Carlo De Michele, Andrew J. McElrone, Nicolas Bambach, Luis Sanchez, and Oscar R. Belfiore 2021. "Determining Evapotranspiration by Using Combination Equation Models with Sentinel-2 Data and Comparison with Thermal-Based Energy Balance in a California Irrigated Vineyard" Remote Sensing 13, no. 18: 3720. https://doi.org/10.3390/rs13183720

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