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Estimation of dwarf green bean water use under semi-arid climate conditions through ground-based remote sensing techniques

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  • Köksal, Eyüp Selim
  • Kodal, Süleyman
  • Üstün, Haluk
  • Yildirim, Yusuf Ersoy

Abstract

Determination of temporal and spatial distribution of water use (WU) within agricultural land is critical for irrigation management and could be achieved by remotely sensed data. The aim of this study was to estimate WU of dwarf green beans under excessive and limited irrigation water application conditions through indicators based on remotely sensed data. For this purpose, field experiments were conducted comprising of six different irrigation water levels. Soil water content, climatic parameters, canopy temperature and spectral reflectance were all monitored. Reference evapotranspiration (ET0), crop coefficient Kc and potential crop evapotraspiration (ETc) were calculated by means of methods described in FAO-56. In addition, WU values were determined by using soil water balance residual and various indexes were calculated. Water use fraction (WUF), which represents both excessive and limited irrigation applications, was defined through WU, ET0 and Kc. Based on the relationships between WUF and remotely sensed indexes, WU of each irrigation treatments were then estimated. According to comparisons between estimated and measured WU, in general crop water stress index (CWSI) can be offered for monitoring of irrigated land. At the same time, under water stress, correlation between measured WU and estimated WU based on CWSI was the highest too. However, canopy-air temperature difference (Tc - Ta) is more reliable than others for excessive water use conditions. Where there is no data related to canopy temperature, some of spectral vegetation indexes could be preferable in the estimation of WU.

Suggested Citation

  • Köksal, Eyüp Selim & Kodal, Süleyman & Üstün, Haluk & Yildirim, Yusuf Ersoy, 2010. "Estimation of dwarf green bean water use under semi-arid climate conditions through ground-based remote sensing techniques," Agricultural Water Management, Elsevier, vol. 98(2), pages 353-360, December.
    • Handle: RePEc:eee:agiwat:v:98:y:2010:i:2:p:353-360
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    References listed on IDEAS

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    1. Kimura, Reiji & Okada, Shuhei & Miura, Hiroyuki & Kamichika, Makio, 2004. "Relationships among the leaf area index, moisture availability, and spectral reflectance in an upland rice field," Agricultural Water Management, Elsevier, vol. 69(2), pages 83-100, September.
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    Cited by:

    1. Ninou, E. & Tsialtas, J.T. & Dordas, C.A. & Papakosta, D.K., 2013. "Effect of irrigation on the relationships between leaf gas exchange related traits and yield in dwarf dry bean grown under Mediterranean conditions," Agricultural Water Management, Elsevier, vol. 116(C), pages 235-241.

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    1. Köksal, Eyüp Selim, 2011. "Hyperspectral reflectance data processing through cluster and principal component analysis for estimating irrigation and yield related indicators," Agricultural Water Management, Elsevier, vol. 98(8), pages 1317-1328, May.

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