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Irrigation management with remote sensing: Evaluating irrigation requirement for maize under Mediterranean climate condition

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  • Toureiro, Célia
  • Serralheiro, Ricardo
  • Shahidian, Shakib
  • Sousa, Adélia

Abstract

Water use control methods and water resources planning are of high priority. In irrigated agriculture, the right way to save water is to increase water use efficiency through better management. The present work validates procedures and methodologies using remote sensing to determine the water availability in the soil at each moment, giving the opportunity for the application of the water depth strictly necessary to optimise crop growth (optimum irrigation timing and irrigation amount). The analysis is applied to the Irrigation District of Divor, Évora, using 7 experimental plots, which are areas irrigated by centre-pivot systems, cultivated to maize. Data were determined from images of the cultivated surface obtained by satellite and integrated with atmosphere and crop parameters to calculate biophysical indicators and indices of water stress in the vegetation—Normalized Difference Vegetation Index (NDVI), Kc, and Kcb. Therefore, evapotranspiration (ETc) was estimated and used to calculate crop water requirement, together with the opportunity and the amount of irrigation water to allocate. Although remote sensing data available from satellite imagery presented some practical constraints, the study could contribute to the validation of a new methodology that can be used for irrigation management of a large irrigated area, easier and at lower costs than the traditional FAO recommended crop coefficients method. The remote sensing based methodology can also contribute to significant saves of irrigation water.

Suggested Citation

  • Toureiro, Célia & Serralheiro, Ricardo & Shahidian, Shakib & Sousa, Adélia, 2017. "Irrigation management with remote sensing: Evaluating irrigation requirement for maize under Mediterranean climate condition," Agricultural Water Management, Elsevier, vol. 184(C), pages 211-220.
    • Handle: RePEc:eee:agiwat:v:184:y:2017:i:c:p:211-220
    DOI: 10.1016/j.agwat.2016.02.010
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    1. Droogers, P. & Immerzeel, W.W. & Lorite, I.J., 2010. "Estimating actual irrigation application by remotely sensed evapotranspiration observations," Agricultural Water Management, Elsevier, vol. 97(9), pages 1351-1359, September.
    2. Gonzalez-Dugo, M.P. & Mateos, L., 2008. "Spectral vegetation indices for benchmarking water productivity of irrigated cotton and sugarbeet crops," Agricultural Water Management, Elsevier, vol. 95(1), pages 48-58, January.
    3. Allen, Richard G. & Pereira, Luis S. & Howell, Terry A. & Jensen, Marvin E., 2011. "Evapotranspiration information reporting: II. Recommended documentation," Agricultural Water Management, Elsevier, vol. 98(6), pages 921-929, April.
    4. Allen, Richard G. & Pereira, Luis S. & Howell, Terry A. & Jensen, Marvin E., 2011. "Evapotranspiration information reporting: I. Factors governing measurement accuracy," Agricultural Water Management, Elsevier, vol. 98(6), pages 899-920, April.
    5. Bausch, Walter C., 1995. "Remote sensing of crop coefficients for improving the irrigation scheduling of corn," Agricultural Water Management, Elsevier, vol. 27(1), pages 55-68, April.
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    9. Hamze, Mohamad & Cheviron, Bruno & Baghdadi, Nicolas & Lo, Madiop & Courault, Dominique & Zribi, Mehrez, 2023. "Detection of irrigation dates and amounts on maize plots from the integration of Sentinel-2 derived Leaf Area Index values in the Optirrig crop model," Agricultural Water Management, Elsevier, vol. 283(C).
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