Innovative deep learning artificial intelligence applications for predicting relationships between individual tree height and diameter at breast height

Forest Ecosystems

Table 1 Summary statistics of the sample trees originated for 1st group and 2nd group data set

Variables		Min.	Max.	Mean	Std. Deviation
Diameter at breast height (d, cm)	1st group data set	10.00	67.00	29.41	7.69
Diameter at breast height (d, cm)	2nd group data set	11.00	63.00	29.01	9.84
Total tree height (h, m)	1st group data set	5.00	18.00	11.26	2.35
Total tree height (h, m)	2nd group data set	5.00	17.00	10.84	2.51
Dominant diameter (d₀, cm)	1st group data set	15.00	67.00	34.21	8.51
Dominant diameter (d₀, cm)	2nd group data set	15.00	63.00	33.29	9.67
Dominant height (H₀, m)	1st group data set	6.00	18.00	12.08	2.26
Dominant height (H₀, m)	2nd group data set	6.00	18.00	11.60	2.44
Quadratic mean diameter (Dg, cm)	1st group data set	11.16	51.91	23.85	6.65
Quadratic mean diameter (Dg, cm)	2nd group data set	11.16	51.91	23.49	7.46
Number of trees of sample plots per ha (N, #·ha⁻¹)	1st group data set	112.50	1575.00	588.62	303.49
Number of trees of sample plots per ha (N, #·ha⁻¹)	2nd group data set	112.50	1575.00	581.69	293.47
Basal area of sample plots per ha (BA, m²·ha⁻¹)	1st group data set	2.37	55.09	23.34	9.12
Basal area of sample plots per ha (BA, m²·ha⁻¹)	2nd group data set	2.37	45.03	21.87	8.60