A national stand-level dataset of aboveground biomass components for Canada’s forested ecosystems

Satellite data from Landsat and Sentinel-2 are widely used to model forest structural attributes at the pixel level, supporting applications in forest management, habitat assessment, carbon cycle analysis, and climate impact mitigation. However, many management and modeling frameworks rely on stand-level forest inventories derived from ocular interpretation of aerial imagery. To address this information need, a Satellite-Based Forest Inventory (SBFI) was developed for Canada’s forested ecosystems (∼650 Mha), providing spatially exhaustive and nationally consistent stand-level attributes derived from a multi-decadal series of satellite data. A key SBFI attribute is total treed aboveground biomass (AGB). We present a new dataset that further partitions this total SBFI AGB into species-specific biomass components for stemwood, bark, branches, and foliage, and also includes estimates of AGB for non-treed vegetation pools. This level of detail supports applications requiring biomass accounting beyond total AGB, including carbon reporting, productivity assessment, wildfire fuel characterization, and modeling approaches that depend on biomass components. We outline the development, modeling framework, and structure of this expanded biomass component database. This remote-sensing-informed, stand-level product delivers national coverage of species-specific component AGB across more than 25 million forest stands and the dataset is openly available to support analyses from local to national scales.