摘要：Observations from the moderate resolution imaging spectroradiometer (MODIS) were used in
combination with a large data set of field measurements to map woody above-ground biomass
(AGB) across tropical Africa. We generated a best-quality cloud-free mosaic of MODIS
satellite reflectance observations for the period 2000–2003 and used a regression tree model
to predict AGB at 1 km resolution. Results based on a cross-validation approach show that
the model explained 82% of the variance in AGB, with a root mean square error of
50.5 Mg ha−1 for a range of biomass
between 0 and 454 Mg ha−1. Analysis of lidar metrics from the Geoscience Laser Altimetry System (GLAS), which are
sensitive to vegetation structure, indicate that the model successfully captured the
regional distribution of AGB. The results showed a strong positive correlation
(R2 = 0.90) between the GLAS height metrics and predicted AGB.
