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Estimation of water productivity in winter wheat using the AquaCrop model with field hyperspectral data

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Abstract

Water productivity (WP) is a key element of agricultural water management in agricultural irrigated regions. The objectives of this study were: (i) to estimate biomass of winter wheat using spectral indices; (ii) integrate the estimation of biomass data with the AquaCrop model using a lookup table for higher accuracy biomass simulation; (iii) show estimation accuracy of the data assimilation method in yield and WP. Spectral variables and concurrent biomass, yield and WP of samples were acquired at the Xiaotangshan experimental site in Beijing, China, during the 2008/2009, 2009/2010, 2010/2011 and 2011/2012 winter wheat growing seasons. The results showed that all spectral indices had a highly significant relationship with biomass, especially normalized difference matter index, with R2 and RMSE values of 0.84 and 1.43 t/ha, respectively. Simulation of biomass and yield by the AquaCrop model were in good agreement with the measured biomass and yield of winter wheat. The results showed that the data assimilation method (R2 = 0.79 and RMSE = 0.12 kg/m3) could be used to estimate WP. The result indicated that the AquaCrop model could be used to estimate yield and WP with the aid of remote sensing for improving agricultural water resources management.

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Acknowledgments

This study was supported by the Natural Science Foundation of China (41271345, 41471351, 41301375, 41601369), the Beijing Natural Science Foundation (4141001), the National High Technology Research and Development Program of China (2013AA102303), the Special Fund for Agro-scientific Research in the Public Interest (201303109), the Special Funds for Technology Innovation Capacity Building sponsored by the Beijing Academy of Agriculture and Forestry Sciences (KJCX20140417), the Key Deployment Project of Chinese Academy of Sciences (KZZD-EW-TZ-16-1), and Yangzhou University Excellent Doctoral Foundation. The authors are grateful to Mr. Haikuan Feng, Weiguo Li and Mrs. Hong Chang for data collection.

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Authors and Affiliations

  1. Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, 130102, China

    Xiuliang Jin

  2. Beijing Research Center for Information Technology in Agriculture, Beijing Academy of Agriculture and Forestry Sciences, Beijing, 100097, China

    Xiuliang Jin, Guijun Yang, Zhenhai Li & Xingang Xu

  3. National Engineering Research Center for Information Technology in Agriculture, Beijing, 100097, China

    Xiuliang Jin, Guijun Yang, Zhenhai Li & Xingang Xu

  4. Beijing Research Center for Agri-food Testing and Farmland Monitoring, Beijing, 100097, China

    Jihua Wang

  5. College of Engineering, South China Agricultural University, Guangzhou, 510642, China

    Yubin Lan

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Correspondence to Xiuliang Jin.

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Jin, X., Yang, G., Li, Z. et al. Estimation of water productivity in winter wheat using the AquaCrop model with field hyperspectral data. Precision Agric 19, 1–17 (2018). https://doi.org/10.1007/s11119-016-9469-2

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