Journal of Tianjin Agricultural University ›› 2022, Vol. 29 ›› Issue (3): 1-8.doi: 10.19640/j.cnki.jtau.2022.03.001

• Researches and Scientific Notes •     Next Articles

Study on the estimation model of summer maize leaf SPAD value based on hyperspectrum

Wang Yuxi1,2,3, Han Nana1,2,3,Corresponding Author, Zhou Qingyun1,2,3, Zhang Baozhong2, Peng Zhigong2   

  1. 1. College of Water Conservancy Engineering, Tianjin Agricultural University, Tianjin 300392, China;
    2. State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100083, China;
    3. Sino-US International Joint Research Center for Ecological Agriculture and Water Environment Protection, Tianjin 300392, China
  • Received:2021-03-10 Online:2022-09-30 Published:2022-10-10

Abstract: Quick and accurate estimation of SPAD values of summer maize leaves can provide data support for monitoring the growth of summer maize in a large area. The spectral reflectance of summer maize leaves at different growth stages, such as jointing stage, tasseling stage, filling stage and milky stage, was simulated by PROSPECT model, the modeling method of estimating SPAD value based on hyperspectral technique. The results showed that:(1)the optimal hyperspectral index estimation model for SPAD value was proposed for each growth period, and the corresponding optimal hyperspectral indexes were REIP, mND705, mND705, and G-M. The decision of the model coefficients(R2)are: 0.625 9, 0.691 2, 0.591 9 and 0.579 9, the root mean square error(RMSE)are: 14.4, 12.3, 6.3 and 9.4, and the relative error(RE)are: 29.1%, 22.1%, 9.3% and 16.9%.(2)A general hyperspectral index mND705 model was proposed to estimate SPAD value for the whole growth period. The R2 of the model were 0.597 3, 0.691 2, 0.591 9 and 0.402 4, the RMSE were 12.5, 12.0, 6.4 and 7.3, and the RE were 24.2%, 21.5%, 10.4% and 11.8%, respectively. Through comparative analysis, it is concluded that the general model R2 is high and RE is low. Therefore, the general model proposed in this paper has better estimation ability and high precision for the inversion of SPAD value of summer maize leaves.

Key words: SPAD, PROSPECT model, hyperspectral index, universal model

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