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Using high-spatiotemporal thermal satellite ET retrievals to monitor water use over California vineyards of different climate, vine variety and trellis design

Author

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  • Knipper, K.R.
  • Kustas, W.P.
  • Anderson, M.C.
  • Nieto, H.
  • Alfieri, J.G.
  • Prueger, J.H.
  • Hain, C.R.
  • Gao, F.
  • McKee, L.G.
  • Alsina, M. Mar
  • Sanchez, L.

Abstract

Mapping the spatial variability of actual evapotranspiration (ETa) across vineyards is useful for optimizing irrigation scheduling and efficiency, leading to conservation of water resources and more sustainable wine grape production. To support efficient irrigation strategies, we investigate the utility of thermal infrared-based ETa maps over a range of vineyards located throughout California, each representing a unique local climate, trellis design, grape variety, row orientation and management practice. ETa maps are derived by combining the Disaggregated Atmosphere Land Exchange Inverse (ALEXI/DisALEXI) surface energy balance model and the Spatial Temporal Adaptive Reflectance Fusion Model (STARFM) to generate ETa estimates at high spatial (30 m) and temporal (daily) resolution. Model output is evaluated for years 2017 and 2018 over vineyard sites located in Sonoma, Sacramento, and Madera counties in California that are being monitored as part of the Grape Remote sensing Atmospheric Profile and Evapotranspiration eXperiment (GRAPEX). Overall, modeled daily ET estimates compare well with flux tower observations, with average root mean square error (RMSE), mean absolute error (MAE) and mean bias error (MBE) of 0.88 mm day−1, 0.70 mm day−1, and 0.17 mm day−1 respectively, over all four individual vineyard locations, aligning with past GRAPEX studies. Despite general agreement, record wildfires in northern California during 2018 likely resulted in positive model bias, while misrepresentation of leaf area index within a double-trellis designed canopy at the southern-most vineyard resulted in negative model bias. Spatial analysis of monthly total ET highlights the advantages of utilizing a satellite-based approach to characterize the variability in water use within and surrounding the targeted vineyards. A reliable spatial ET product at scale has the potential to improve water allocation and conservation efforts by identifying areas of uneven water use due to variations in soil texture and composition and other environmental or anthropogenic factors.

Suggested Citation

  • Knipper, K.R. & Kustas, W.P. & Anderson, M.C. & Nieto, H. & Alfieri, J.G. & Prueger, J.H. & Hain, C.R. & Gao, F. & McKee, L.G. & Alsina, M. Mar & Sanchez, L., 2020. "Using high-spatiotemporal thermal satellite ET retrievals to monitor water use over California vineyards of different climate, vine variety and trellis design," Agricultural Water Management, Elsevier, vol. 241(C).
    • Handle: RePEc:eee:agiwat:v:241:y:2020:i:c:s0378377420305473
    DOI: 10.1016/j.agwat.2020.106361
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    References listed on IDEAS

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    1. Zhang, Yanqun & Kang, Shaozhong & Ward, Eric J. & Ding, Risheng & Zhang, Xin & Zheng, Rui, 2011. "Evapotranspiration components determined by sap flow and microlysimetry techniques of a vineyard in northwest China: Dynamics and influential factors," Agricultural Water Management, Elsevier, vol. 98(8), pages 1207-1214, May.
    2. Teixeira, A.H. de C. & Bastiaanssen, W.G.M. & Bassoi, L.H., 2007. "Crop water parameters of irrigated wine and table grapes to support water productivity analysis in the Sao Francisco river basin, Brazil," Agricultural Water Management, Elsevier, vol. 94(1-3), pages 31-42, December.
    3. Zhang, Baozhong & Kang, Shaozhong & Li, Fusheng & Tong, Ling & Du, Taisheng, 2010. "Variation in vineyard evapotranspiration in an arid region of northwest China," Agricultural Water Management, Elsevier, vol. 97(11), pages 1898-1904, November.
    4. Campos, Isidro & Neale, Christopher M.U. & Calera, Alfonso & Balbontín, Claudio & González-Piqueras, Jose, 2010. "Assessing satellite-based basal crop coefficients for irrigated grapes (Vitis vinifera L.)," Agricultural Water Management, Elsevier, vol. 98(1), pages 45-54, December.
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    1. Knipper, Kyle & Yang, Yun & Anderson, Martha & Bambach, Nicolas & Kustas, William & McElrone, Andrew & Gao, Feng & Alsina, Maria Mar, 2023. "Decreased latency in landsat-derived land surface temperature products: A case for near-real-time evapotranspiration estimation in California," Agricultural Water Management, Elsevier, vol. 283(C).
    2. Ramírez-Cuesta, J.M. & Intrigliolo, D.S. & Lorite, I.J. & Moreno, M.A. & Vanella, D. & Ballesteros, R. & Hernández-López, D. & Buesa, I., 2023. "Determining grapevine water use under different sustainable agronomic practices using METRIC-UAV surface energy balance model," Agricultural Water Management, Elsevier, vol. 281(C).
    3. Williams, Larry E. & Levin, Alexander D. & Fidelibus, Matthew W., 2022. "Crop coefficients (Kc) developed from canopy shaded area in California vineyards," Agricultural Water Management, Elsevier, vol. 271(C).
    4. Hao, Pengyu & Di, Liping & Guo, Liying, 2022. "Estimation of crop evapotranspiration from MODIS data by combining random forest and trapezoidal models," Agricultural Water Management, Elsevier, vol. 259(C).
    5. Ferreira, Thomás R. & Maguire, Mitchell S. & da Silva, Bernardo B. & Neale, Christopher M.U. & Serrão, Edivaldo A.O. & Ferreira, Jéssica D. & de Moura, Magna S.B. & dos Santos, Carlos A.C. & Silva, Ma, 2023. "Assessment of water demands for irrigation using energy balance and satellite data fusion models in cloud computing: A study in the Brazilian semiarid region," Agricultural Water Management, Elsevier, vol. 281(C).
    6. Ortega-Salazar, Samuel & Ortega-Farías, Samuel & Kilic, Ayse & Allen, Richard, 2021. "Performance of the METRIC model for mapping energy balance components and actual evapotranspiration over a superintensive drip-irrigated olive orchard," Agricultural Water Management, Elsevier, vol. 251(C).

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