Table 8 Model coefficients along with standard errors (in brackets) for site-wise level models at 1-ha and 0.16-ha resolution.

From: LiDAR-based reference aboveground biomass maps for tropical forests of South Asia and Central Africa

Sno

Site

Plot Size (1-ha)

Plot Size (0.16-ha)

a (se)

b (se)

sigma

R2

RMSE [Mg ha−1]

RMSE [%]

a (se)

b (se)

sigma

R2

RMSE [Mg ha−1]

RMSE [%]

1

Betul

2.043 (0.191)

1.247 (0.087)

0.095

0.87

12.04

9.9

2.605 (0.107)

0.988 (0.049)

0.162

0.65

21.08

17.3

2

Achanakmar

2.046 (0.219)

1.173 (0.080)

0.113

0.94

23.51

11.7

2.058 (0.175)

1.165 (0.064)

0.185

0.84

36.58

18.3

3

Yellapur

0.500 (0.478)

1.691 (0.158)

0.111

0.90

31.07

11.0

0.684 (0.380)

1.632 (0.126)

0.188

0.74

66.65

23.1

4

Uppangala

0.969 (0.442)

1.523 (0.134)

0.192

0.86

82.16

18.9

1.087 (0.335)

1.464 (0.100)

0.328

0.66

145.85

32.6

5

Khaoyai

1.934 (0.445)

1.236 (0.144)

0.109

0.72

32.27

9.9

1.360 (0.189)

1.411 (0.061)

0.219

0.74

74.08

23.1

6

Nachtigal

2.009 (1.004)

1.037 (0.314)

0.233

0.55

43.21

18.6

1.902 (0.081)

1.083 (0.029)

0.284

0.82

48.28

27.9

7

Mbalmayo

1.721 (0.517)

1.253 (0.155)

0.135

0.74

52.62

14.1

1.230 (0.396)

1.39 (0.119)

0.282

0.59

108.54

29.1

8

Atout

9

Kompia

10

Somalomo

11

Bouamir

12

Mabounié

2.471 (0.447)

1.015 (0.136)

0.100

0.86

32.26

9.4

2.159 (0.498)

1.098 (0.152)

0.265

0.55

94.23

28.0

13

Rabi

1.267 (0.671)

1.397 (0.213)

0.123

0.65

38.78

13.1

1.386 (0.407)

1.344 (0.130)

0.312

0.43

99.63

33.8

  1. For Cameroon sites listed from 7-11 in column “Sno”, a single regional model is employed. Sigma is the model residual standard error in log-transformed units. R2 and RMSEs (in Mg ha-1 and in %) are computed on back-transformed predictions.