Guinea-Bissau woody above-ground biomass (tonnes/hectare)

Feb 8, 2011
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Description:
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.
Data Provided By:
Woods Hole Research Center
Content date:
2000
Spatial Resolution:
1 km
Contact Organization:
The Woods Hole Research Center
Contact Person(s):
  • Alessandro Baccini
Use Constraints:
When referencing these data please use: Baccini, A., Laporte, N., Goetz, S.J., Sun, M. and Dong, H. 2008. A first map of tropical Africa's above-ground biomass derived from satellite imagery. Environmental Research Letters 3. stacks.iop.org/ERL/3/045011 Environmental Research Letters 3. stacks.iop.org/ERL/3/045011
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Dataset Type:
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Tags:
random forest, redd, biomass, carbon, regression tree, glas, modis, lidar
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Conservation Biology Institute

The Conservation Biology Institute (CBI) provides scientific expertise to support the conservation and recovery of biological diversity in its natural state through applied research, education, planning, and community service.