Aboveground Forest Biomass Estimation with Landsat and LiDAR Data and Uncertainty Analysis of the Estimates

Table 2

Regression models and their statistics.

Data source	Independent variables	𝑅^2	RMSE (T/ha)
All returns	ℎqm,ℎ35to40	0.76	82.1
First returns	ℎqm,ℎ35to40	0.75	83.5
Last returns	ℎqm,ℎ40,ℎ35to40	0.76	81.1
CHM cells	ℎqm,ℎ35to40	0.77	81.0

Note: ℎ_qm is the quadratic mean height, ℎ_35to40 means the proportion of LiDAR points or CHM cells within the height bin of 35–40 m, and ℎ₄₀ means the 40th percentile of LiDAR points. 𝑅² and RMSE are the coefficient of determination and root mean square error, respectively.