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Crop evapotranspiration calculation using infrared thermometers aboard center pivots

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  • Colaizzi, Paul D.
  • O’Shaughnessy, Susan A.
  • Evett, Steve R.
  • Mounce, Ryan B.

Abstract

Irrigation scheduling using remotely sensed surface temperature can result in equal or greater crop yield and crop water use efficiency compared with irrigation scheduling using in-situ soil water profile measurements. Crop evapotranspiration (ETc) is useful for irrigation scheduling, and can be calculated using surface temperature. Recent advances in wireless infrared thermometers (IRTs) have made surface temperature measurement a viable alternative to in-situ soil water profile measurements, and wireless IRTs are practical for deployment aboard moving irrigation systems, such as center pivots. However, ETc calculation has not been tested using IRTs aboard center pivots in conjunction with recent advances in a two-source energy balance (TSEB) model. We compared daily ETc calculated by a TSEB model to daily ETc estimated by a simple soil water balance (SSWB), where the SSWB used volumetric soil water measured by a field calibrated neutron probe to the 2.4-m depth. Crops included two seasons each of corn (Zea mays L.), cotton (Gossypium hirsutum L.), and grain sorghum (Sorghum bicolor L.) at Bushland, Texas, USA. Discrepancies of TSEB vs. SSWB daily ETc were similar for each crop and season, and had root mean squared error from 1.5 to 1.8mm per day, mean absolute error from 1.1 to 1.5mm per day, and mean bias error from −0.51 to 0.63mm per day. A sensitivity analysis was conducted for daily evaporation (E), daily transpiration (T), and ETc calculated by the TSEB model. These were most sensitive to radiometric surface temperature, air temperature, the reference temperature used in time scaling (i.e., to convert instantaneous to daily E, T, and ETc), and incoming solar irradiance. Because over half of the irrigated area in the USA is now by center pivot, ETc calculated using IRTs aboard center pivots will be useful to maintain or increase crop water productivity.

Suggested Citation

  • Colaizzi, Paul D. & O’Shaughnessy, Susan A. & Evett, Steve R. & Mounce, Ryan B., 2017. "Crop evapotranspiration calculation using infrared thermometers aboard center pivots," Agricultural Water Management, Elsevier, vol. 187(C), pages 173-189.
  • Handle: RePEc:eee:agiwat:v:187:y:2017:i:c:p:173-189
    DOI: 10.1016/j.agwat.2017.03.016
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    1. O'Shaughnessy, S.A. & Evett, S.R., 2010. "Canopy temperature based system effectively schedules and controls center pivot irrigation of cotton," Agricultural Water Management, Elsevier, vol. 97(9), pages 1310-1316, September.
    2. O’Shaughnessy, Susan A. & Evett, Steven R. & Colaizzi, Paul D., 2015. "Dynamic prescription maps for site-specific variable rate irrigation of cotton," Agricultural Water Management, Elsevier, vol. 159(C), pages 123-138.
    3. Gago, J. & Douthe, C. & Coopman, R.E. & Gallego, P.P. & Ribas-Carbo, M. & Flexas, J. & Escalona, J. & Medrano, H., 2015. "UAVs challenge to assess water stress for sustainable agriculture," Agricultural Water Management, Elsevier, vol. 153(C), pages 9-19.
    4. Falkenberg, Nyland R. & Piccinni, Giovanni & Cothren, J. Tom & Leskovar, Daniel I. & Rush, Charlie M., 2007. "Remote sensing of biotic and abiotic stress for irrigation management of cotton," Agricultural Water Management, Elsevier, vol. 87(1), pages 23-31, January.
    5. Anderson, Ray G. & Alfieri, Joseph G. & Tirado-Corbalá, Rebecca & Gartung, Jim & McKee, Lynn G. & Prueger, John H. & Wang, Dong & Ayars, James E. & Kustas, William P., 2017. "Assessing FAO-56 dual crop coefficients using eddy covariance flux partitioning," Agricultural Water Management, Elsevier, vol. 179(C), pages 92-102.
    6. Brandon Moore & André Coleman & Mark Wigmosta & Richard Skaggs & Erik Venteris, 2015. "A High Spatiotemporal Assessment of Consumptive Water Use and Water Scarcity in the Conterminous United States," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(14), pages 5185-5200, November.
    7. Zwart, Sander J. & Bastiaanssen, Wim G.M., 2007. "SEBAL for detecting spatial variation of water productivity and scope for improvement in eight irrigated wheat systems," Agricultural Water Management, Elsevier, vol. 89(3), pages 287-296, May.
    8. Ahmad, M.D. & Turral, H. & Nazeer, A., 2009. "Diagnosing irrigation performance and water productivity through satellite remote sensing and secondary data in a large irrigation system of Pakistan," Agricultural Water Management, Elsevier, vol. 96(4), pages 551-564, April.
    9. Playan, E. & Salvador, R. & Faci, J.M. & Zapata, N. & Martinez-Cob, A. & Sanchez, I., 2005. "Day and night wind drift and evaporation losses in sprinkler solid-sets and moving laterals," Agricultural Water Management, Elsevier, vol. 76(3), pages 139-159, August.
    10. O'Shaughnessy, S.A. & Evett, S.R. & Colaizzi, P.D. & Howell, T.A., 2011. "Using radiation thermography and thermometry to evaluate crop water stress in soybean and cotton," Agricultural Water Management, Elsevier, vol. 98(10), pages 1523-1535, August.
    11. O'Shaughnessy, Susan A. & Evett, Steven R. & Colaizzi, Paul D. & Howell, Terry A., 2012. "A crop water stress index and time threshold for automatic irrigation scheduling of grain sorghum," Agricultural Water Management, Elsevier, vol. 107(C), pages 122-132.
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    5. Nandan, Rohit & Woo, Dong K. & Kumar, Praveen & Adinarayana, J., 2021. "Impact of irrigation scheduling methods on corn yield under climate change," Agricultural Water Management, Elsevier, vol. 255(C).

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