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Table 3 The performance measures of AGB estimation models

From: Improved estimation of aboveground biomass of regional coniferous forests integrating UAV-LiDAR strip data, Sentinel-1 and Sentinel-2 imageries

Experiment (category)

Selected variables

R square

A (larch)

B6, Cab, CIre, VARI, S2REP

0.598

B (larch)

Clre, Cab, a_1_B11, a_3_B4, d_1_B3

0.626

C (larch)

Clre, Cab, a_1_B11, d_1_B3, VV_mean

0.670

D (larch)

Cab, a_1_B11, d_1_B3, VV_mean, d_2 _B1_sar

0.685

A (Chinese pine)

B6, LAI, FVC, MidIR, S2REP

0.563

B (Chinese pine)

B8a, Cwc, FVC, MidIR, a_3_B8

0.573

C (Chinese pine)

B6, LAI, FVC, MidIR, VH_var

0.623

D (Chinese pine)

LAI, FVC, MidIR, VH_var, a_1 _B1_sar

0.657

A (non-stratification)

B11, Cab, CIre, Cwc, MidIR

0.516

B (non-stratification)

B12, II, FVC, Cab, h_1_B4

0.532

C (non-stratification)

Cwc, FVC, MidIR, VH, VH_var

0.603

D (non-stratification)

Cwc, FVC, MidIR, VH_var, a_1_B1_sar

0.632