Biomass Residues

This raster layer represents forest residues for the state of California in 2018. It was developed by the Schatz Energy Research Center as part of the C-BREC (California Biomass Residue Emissions Characterization) model. The raster is based on the LEMMA (Landscape Ecology, Modeling, Mapping, and Analysis) group's forest state data for 2012, which was grown forward to represent residues in 2018 by NRSIG (Natural Resource Spatial Informatics Group) at University of Washington using FVS (Forest Vegetation Simulator).

Data and Resources

Additional Info

Field Value
Version Version 5.0
Last Updated March 28, 2025, 08:35 (UTC)
Created March 7, 2025, 07:52 (UTC)
category /Economic Diversity/Wood Product Industry
collection_name California Landscape Metrics
creation_method Pixel values are estimates of the total biomass residue generated by a 40% Thin From Below treatment, reported in imperial short tons per acre. The value for a given pixel is the sum of biomass estimates across all residue size classes (foliage, branches, logs 4-6" in diameter, logs 6-9" in diameter, and logs greater than 9" in diameter). For more information on the C-BREC model, you can visit the following links: * C-BREC tool webpage: <https://schatzcenter.org/cbrec/> * C-BREC model background and use: <https://iopscience.iop.org/article/10.1088/1748-9326/acbd93#erlacbd93s3>
data_units Imperial short tons per acre
data_vintage 08/2018
date_updated August 2024
element Wood Product Industry
encoding utf8
file_name BiomassResidues_201808_202401_T3_v5
format GeoTiff
harvest_object_id bff494b6-ef97-40d7-9801-35f4556af03e
harvest_source_id a2637971-af12-457f-ae4a-831d2202a539
harvest_source_title WIFIRE Commons
maximum_value 426.7
metric_definition_and_relevance This raster layer represents forest residues for the state of California in 2018. It was developed by the Schatz Energy Research Center as part of the C-BREC (California Biomass Residue Emissions Characterization) model. The raster is based on the LEMMA (Landscape Ecology, Modeling, Mapping, and Analysis) group's forest state data for 2012, which was grown forward to represent residues in 2018 by NRSIG (Natural Resource Spatial Informatics Group) at University of Washington using FVS (Forest Vegetation Simulator).
minimum_value 0.0
pillar Economic Diversity
spatial {"type": "Polygon", "coordinates": [[[-124.5090833859125, 32.4242698701859], [-113.49380570277376, 32.4242698701859], [-113.49380570277376, 42.1119747450123], [-124.5090833859125, 42.1119747450123], [-124.5090833859125, 32.4242698701859]]]}
tier 3