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Fine-scale biomass maps offer forest managers the prospect of more  detailed and locally accurate information for measuring, reporting and  verification activities in contexts, such as sustainable forest  management, carbon stock assessments and ecological studies of forest  growth and change. In this study, we apply a locally validated method  for estimating aboveground woody biomass (AGWB) from Advanced Land  Observing Satellite (ALOS) Phased Array-type L-band Synthetic Aperture  Radar (PALSAR) data to produce an AGWB map for the lowland pine savannas  of Belize at a spatial resolution of 100 m. Over 90% of these woodlands  are predicted to have an AGWB below 60 tha−1, with the average woody biomass of these savannas estimated at 23.5 tha−1.  By overlaying these spatial estimates upon previous thematic mapping of  national land cover, we derive representative average biomass values of  ~32 tha−1 and ~18 tha−1 for the previously  qualitative classes of “denser” and “less dense” tree savannas. The  predicted average biomass, from the mapping for savannas woodlands  occurring within two of Belize’s larger protected areas, agree closely  with previous biomass estimates for these areas based on ground surveys  and forest inventories (error ≤20%). However, biomass estimates derived  for these protected areas from two biomass maps produced at coarser  resolutions (500 m and 1000 m) from global datasets overestimated  biomass (errors ≥275% in each dataset). The finer scale biomass mapping  of both protected and unprotected areas provides evidence to suggest  that protection has a positive effect upon woody biomass, with the mean  AGWB higher in areas protected and managed for biodiversity (protected  and passively managed (PRPM), 29.5 tha−1) compared to unprotected areas  (UPR, 23.29 tha−1). These findings suggest that where sufficient ground  data exists to build a reliable local relationship to radar backscatter,  the more detailed biomass mapping that can be produced from ALOS and  similar satellite data at resolutions of ~100 m provides more accurate  and spatially detailed information that is more appropriate for  supporting the management of forested areas of ~10,000 ha than biomass  maps that can be produced from lower resolution, but freely available  global data sets

Local-Scale Mapping of Biomass in Tropical Lowland Pine Savannas Using ALOS PALSAR