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Table 4 A summary of evaluation results of AGB models

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

Experiment (category)

LiDAR-based AGB

Field-based AGB

RMSE (Mg/ha)

MAE (Mg/ha)

rRMSE (%)

r

RMSE (Mg/ha)

MAE (Mg/ha)

rRMSE (%)

r

A (larch)

37.39

31.80

32.80

0.777

40.46

32.37

35.49

0.712

B (larch)

35.51

30.42

30.15

0.677

39.39

31.60

34.56

0.607

C (larch)

31.46

27.19

27.17

0.785

34.79

29.03

30.52

0.733

D (larch)

29.01

25.53

25.45

0.790

32.60

27.02

28.61

0.739

A (Chinese pine)

41.85

35.09

27.61

0.424

44.69

38.65

29.21

0.425

B (Chinese pine)

39.88

32.95

26.32

0.505

43.52

35.95

28.44

0.482

C (Chinese pine)

34.24

28.46

22.59

0.636

38.21

32.48

24.98

0.604

D (Chinese pine)

31.88

26.44

21.04

0.710

36.13

30.28

23.61

0.673

A (non-stratification)

44.67

35.64

33.25

0.558

47.47

37.91

35.43

0.541

B (non-stratification)

42.23

33.96

31.43

0.620

45.97

37.82

34.31

0.580

C (non-stratification)

38.83

31.77

28.90

0.682

41.09

34.02

30.67

0.675

D (non-stratification)

35.71

29.65

26.58

0.732

38.37

31.71

28.64

0.719