Was anaB1 0.045 -0.370 -0.071 0.089 0.013 lyzed, and is shown in Table0.212 three.B
Was anaB1 0.045 -0.370 -0.071 0.089 0.013 lyzed, and is shown in Table0.212 three.B2 0.040 0.248 -0.385 Table two. Correlation evaluation of six metals with bands. B3 0.034 0.222 -0.401 -0.071 -0.0.033 0.0.013 0.Cd Hg As Cu Zn B4 0.046 0.228 -0.321 -Pb 0.030 0.035 0.029 0.045 0.212 -0.370 -0.071 0.089 0.013 Note: B1 0.05, p 0.01. p B2 0.040 0.248 -0.385 -0.071 0.033 0.013 B3 0.034 -0.401 -0.085 0.013 0.014 As shown in Table two, it 0.222 was concluded that the As correlation coefficient was highest in R B4 (0.3.five), followed by 0.228 Hg (0.2.three), and also the remaining four heavy metals0.029 Pb, (Cd, 0.046 -0.321 -0.030 0.035 Cu, p 0.05, low 0.01. note:Zn)were p (R 0.1). As a result, the comparatively relevant As and Hg components had been chosen because the WZ8040 Technical Information target heavy metals. The correlation amongst As, Hg, and spectral factors From Table 3, is shown in Table target heavy metals with B6 B8 and B8A had been decrease was analyzed, plus the correlations of three. than From Table B1 B5correlations of target heavy metals the target heavyB8A had been lower these with three, the bands. The correlations among with B6 B8 and metals along with the than those operation from the spectral factors had been all enhanced. The spectral variables had been logarithmicwith B1 B5 bands. The correlations amongst the target heavy metals and also the logarithmic operation from the and positively were all enhanced. The spectral aspects negatively correlated with Asspectral factors correlated with Hg, as well as the correlations had been negatively 0.01 self-confidence level. The correlation coefficient as well as the the target heavy all in the p correlated with As and positively correlated with Hg,among correlations were all at and 0.01 self-assurance level. that with spectral reflectivity B1 B4, which was also metal the plnB1 B4 was greater than The correlation coefficient among the target heavy associated with NDVI. The outcomes showed that the content of heavy metals inside the study areaLand 2021, ten,eight ofmetal and lnB1 B4 was greater than that with spectral reflectivity B1 B4, which was also related to NDVI. The results showed that the content material of heavy metals in the study area had a superb correlation with spectral elements B1 B4 and lnB1 lnB4, indicating that spectral variables B1 B4, LnB1 LnB4, and NDVI might be employed to predict the soil heavy metal content material and spatial distribution.Table three. Correlation evaluation of target metals with spectrum indicators. B1 As Hg As Hg B2 B3 B4 B5 B6 B7 B8 B8A-0.370 -0.385 0.212 0.248 LnB1 -0.397 0.222 -0.401 -0.321 0.222 0.228 LnB2 -0.430 0.254 -0.245 0.156 LnB3 -0.431 0.231 -0.067 0.-0.035 0.-0.02 0.LnB4 -0.342 0.234 -0.003 0.055 NDVI -0.127 0.128 Note: p 0.05, p 0.01.3.three. Model Accuracy Evaluation A total of 649 soil samples have been randomly extracted from 971 soil samples on a 2:1 scale as modeling sets. PLSR and BPNN models had been established with target heavy metals and spectral factors as model input variables. As shown in Table 4, the results showed that for the modeling set of As elements CFT8634 Epigenetics according to the PLSR model, R was amongst 0.431 and 0.462, and RMSE was between 1.943 and 1.976 (see Table 4); the verification set was in between 0.498 0.526, and RMSE was among 2.007 to two.045. The correlation coefficient difference depending on the original band modeling and adding the NDVI factor model was only 0.001, which was really little: the NDVI factor can not drastically strengthen the accuracy. For the Hg element modeling set, R was involving 0.257 and 0.268, and RMSE was involving 0.062 and 0.066; the verification set was amongst 0.149 and 0.161, a.