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Determination of crop evapotranspiration of table grapes in a semi-arid region of Northwest Mexico using multi-spectral vegetation index

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  • Er-Raki, S.
  • Rodriguez, J.C.
  • Garatuza-Payan, J.
  • Watts, C.J.
  • Chehbouni, A.

Abstract

The main goal of this research is to develop and to evaluate a relationship established between Normalized Difference Vegetation Index (NDVI) and crop coefficient (Kc) for estimating crop evapotranspiration (ETc) of table grapes vineyards (Vitis vinifera L., cvs. Perlette and Superior) in the semi-arid region of Northwest Mexico. Two consecutive growing seasons (2005 and 2006) of continuous measurements of ETc with the eddy covariance system were used to test the performance of the Kc–NDVI relationship. An exponential relation relating Kc to NDVI (R2=0.63) is proposed and tested here as the basis for calculating ETc. The obtained results indicate that the Kc–NDVI approach estimates ETc reasonably well over two growing seasons. The root mean square error (RMSE) between measured and derived ETc from NDVI during 2005 and 2006 were respectively about 0.45 and 0.76mmday−1. Some discrepancies between measured and simulated ETc occurred when NDVI saturates at high values, causing the under-estimation of evapotranspiration.

Suggested Citation

  • Er-Raki, S. & Rodriguez, J.C. & Garatuza-Payan, J. & Watts, C.J. & Chehbouni, A., 2013. "Determination of crop evapotranspiration of table grapes in a semi-arid region of Northwest Mexico using multi-spectral vegetation index," Agricultural Water Management, Elsevier, vol. 122(C), pages 12-19.
    • Handle: RePEc:eee:agiwat:v:122:y:2013:i:c:p:12-19
    DOI: 10.1016/j.agwat.2013.02.007
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    1. Duchemin, B. & Hadria, R. & Erraki, S. & Boulet, G. & Maisongrande, P. & Chehbouni, A. & Escadafal, R. & Ezzahar, J. & Hoedjes, J.C.B. & Kharrou, M.H. & Khabba, S. & Mougenot, B. & Olioso, A. & Rodrig, 2006. "Monitoring wheat phenology and irrigation in Central Morocco: On the use of relationships between evapotranspiration, crops coefficients, leaf area index and remotely-sensed vegetation indices," Agricultural Water Management, Elsevier, vol. 79(1), pages 1-27, January.
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    4. 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.
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    5. Shao, Guomin & Han, Wenting & Zhang, Huihui & Liu, Shouyang & Wang, Yi & Zhang, Liyuan & Cui, Xin, 2021. "Mapping maize crop coefficient Kc using random forest algorithm based on leaf area index and UAV-based multispectral vegetation indices," Agricultural Water Management, Elsevier, vol. 252(C).
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    9. Er-Raki, S. & Bouras, E. & Rodriguez, J.C. & Watts, C.J. & Lizarraga-Celaya, C. & Chehbouni, A., 2021. "Parameterization of the AquaCrop model for simulating table grapes growth and water productivity in an arid region of Mexico," Agricultural Water Management, Elsevier, vol. 245(C).
    10. Jefferson Brooks & Ana Rivera & Miguel Chen Austin & Nathalia Tejedor-Flores, 2022. "A Machine Learning-Based Approach to Estimate Energy Flows of the Mangrove Forest: The Case of Panama Bay," Sustainability, MDPI, vol. 15(1), pages 1-20, December.
    11. Valentín, Francisco & Sánchez, Juan Manuel & Martínez-Moreno, Alejandro & Intrigliolo, Diego S. & Buesa, Ignacio & López-Urrea, Ramón, 2023. "Using on-the-ground surface energy balance to monitor vine water status and evapotranspiration under deficit irrigation and rainfed conditions," Agricultural Water Management, Elsevier, vol. 281(C).
    12. Ouaadi, Nadia & Jarlan, Lionel & Khabba, Saïd & Le Page, Michel & Chakir, Adnane & Er-Raki, Salah & Frison, Pierre-Louis, 2023. "Are the C-band backscattering coefficient and interferometric coherence suitable substitutes of NDVI for the monitoring of the FAO-56 crop coefficient?," Agricultural Water Management, Elsevier, vol. 282(C).
    13. Jin, Xiuliang & Yang, Guijun & Xue, Xuzhang & Xu, Xingang & Li, Zhenhai & Feng, Haikuan, 2017. "Validation of two Huanjing-1A/B satellite-based FAO-56 models for estimating winter wheat crop evapotranspiration during mid-season," Agricultural Water Management, Elsevier, vol. 189(C), pages 27-38.
    14. Mahmoud, Shereif H. & Gan, Thian Yew, 2019. "Irrigation water management in arid regions of Middle East: Assessing spatio-temporal variation of actual evapotranspiration through remote sensing techniques and meteorological data," Agricultural Water Management, Elsevier, vol. 212(C), pages 35-47.
    15. Consoli, S. & Licciardello, F. & Vanella, D. & Pasotti, L. & Villani, G. & Tomei, F., 2016. "Testing the water balance model criteria using TDR measurements, micrometeorological data and satellite-based information," Agricultural Water Management, Elsevier, vol. 170(C), pages 68-80.
    16. Rallo, G. & Paço, T.A. & Paredes, P. & Puig-Sirera, À. & Massai, R. & Provenzano, G. & Pereira, L.S., 2021. "Updated single and dual crop coefficients for tree and vine fruit crops," Agricultural Water Management, Elsevier, vol. 250(C).
    17. Zhao, Peng & Kang, Shaozhong & Li, Sien & Ding, Risheng & Tong, Ling & Du, Taisheng, 2018. "Seasonal variations in vineyard ET partitioning and dual crop coefficients correlate with canopy development and surface soil moisture," Agricultural Water Management, Elsevier, vol. 197(C), pages 19-33.
    18. Pôças, I. & Calera, A. & Campos, I. & Cunha, M., 2020. "Remote sensing for estimating and mapping single and basal crop coefficientes: A review on spectral vegetation indices approaches," Agricultural Water Management, Elsevier, vol. 233(C).
    19. Rozenstein, Offer & Haymann, Nitai & Kaplan, Gregoriy & Tanny, Josef, 2018. "Estimating cotton water consumption using a time series of Sentinel-2 imagery," Agricultural Water Management, Elsevier, vol. 207(C), pages 44-52.
    20. Consoli, S. & Vanella, D., 2014. "Mapping crop evapotranspiration by integrating vegetation indices into a soil water balance model," Agricultural Water Management, Elsevier, vol. 143(C), pages 71-81.

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