基于高光谱数据的荔枝SPAD值快速估测

doi:10.13284/j.cnki.rddl.002764

Abstract

Abstract:

The aim of this study was to analyze the relationship between spectral characteristics of litchi leaf spectra and SPAD reading and to explore the capacity of hyper-spectral data in litchi leaf SPAD value estimation.The relationship between four types of spectral variables and the SPAD values were investigated. The first type was the spectral indices proposed in literature for estimating chlorophyll content. The second was the optimized spectral indices derived by band iteration. The third was the area, location and the slope derived by the red-edge, blue-edge and yellow-edge of the first derivative spectra. The last was the spectral feature variables constructed by the peaks and valleys of the second derivative spectra. The results showed that the slope of blue-edge and the sum of the second derivative spectra in 490-520 nm presented high correlation with SPAD values (the correlation coefficients were -0.834 and -0.856, respectively). For the standard normal variate spectra (SNV), the first derivative spectra (FD) and the second derivative spectra (SD), the four band double difference indices presented the best relationship with SPAD values. The correlation coefficient between (FD516-FD474)-(FD684-FD660) and SPAD values was the highest, which was 0.875. The determination coefficient and RMSE of the prediction model developed by this variable and SPAD values were 0.747 and 2.375, respectively. The result indicated that taking advantage of hyper-spectral data for monitoring of litchi SPAD values would be effective.

Key words: SPAD value, leaf spectra, spectral variable, litchi

LI Dan，PENG Zhiping，HAN Liusheng，HUANG Jichuan，LIU Wei，HUANG Siyu，CHEN Shuisen. Estimation Model for Litchi Leaf SPAD-Reading Based on Hyper-Spectral Data[J].TROPICAL GEOGRAPHY, 2016, 36(4): 710-716.

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Estimation Model for Litchi Leaf SPAD-Reading Based on Hyper-Spectral Data

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