Lidar remote sensing has a unique capability for estimating forest canopy height, which has a direct and increasingly well understood relationship to aboveground carbon storage. In this project we are using lidar waveforms from the Geoscience Laser Altimeter System (GLAS) to estimate canopy height and aboveground forest carbon storage for each GLAS waveform in the Amazon basin and combining those point estimates with images from the MODIS sensor to develop spatially continuous datasets. We will be comparing the new biomass estimates with spatially explicit data layers from previous studies in the region and using an existing bookkeeping C flux model to evaluate the sensitivity of C flux estimates associated with land cover change in the region to the new biomass estimates.