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Review Article

Development of a new heavy metal vegetation index for improving monitoring of copper and lead concentration in corn

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Pages 632-639 | Received 30 Mar 2019, Accepted 28 Nov 2019, Published online: 05 Dec 2019

Figures & data

Figure 1. Heavy metal contents in corn leaves (O, M, N) stressed by different (a) Cu concentrations and (b) Pb concentrations

Figure 1. Heavy metal contents in corn leaves (O, M, N) stressed by different (a) Cu concentrations and (b) Pb concentrations

Figure 2. Correlation coefficients between Cu content in leaves of different development degrees and (a) reflectance and (b) first difference reflectance

Figure 2. Correlation coefficients between Cu content in leaves of different development degrees and (a) reflectance and (b) first difference reflectance

Figure 3. Correlation coefficients between Cu content in leaves of different development degrees and first difference reflectance of the mean spectrum

Figure 3. Correlation coefficients between Cu content in leaves of different development degrees and first difference reflectance of the mean spectrum

Figure 4. Correlation coefficients between Pb content in leaves of different development degrees and (a) reflectance and (b) first difference reflectance

Figure 4. Correlation coefficients between Pb content in leaves of different development degrees and (a) reflectance and (b) first difference reflectance

Figure 5. Correlation coefficients of the first difference reflectance and heavy metal contents in leaves under (a) Cu stress and (b) Pb stress

Figure 5. Correlation coefficients of the first difference reflectance and heavy metal contents in leaves under (a) Cu stress and (b) Pb stress

Table 1. Results of regression analysis of dVI and heavy metal content in corn leaves under Cu case

Table 2. Results of regression analysis of dVI and heavy metal content in corn leaves under Pb case

Figure 6. Results of regression analysis of dVI and heavy metal contents in leaves under the Cu case from “Zhongnuo No.1” corn in the years 2014 2016

Figure 6. Results of regression analysis of dVI and heavy metal contents in leaves under the Cu case from “Zhongnuo No.1” corn in the years 2014 2016

Table 3. Results of regression of published indices and heavy metal content in the corn leaves under the Cu case and Pb case

Table 4. The absolute value of Pearson correlation coefficient (r) between Pb contents in leaves and VIs (“Zhongnuo No.1” corn in the year 2014)