Project Summary
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Accurately measuring forest carbon storage and flux is necessary for national carbon accounting programs and can improve our understanding of earth’s carbon cycle. As part of the NASA Carbon Monitoring Systems program, we’ve developed a method to integrate field data, multiple lidar collections, aerial imagery, and Landsat time series to provide estimates of forest and woodland aboveground biomass (AGB) across the western USA. Our workflow will yield annual AGB maps for the years 1985 – present at a 30-m spatial resolution. These maps are aggregated to the county-level and compared to AGB estimates calculated from independently collected Forest Inventory and Analysis (FIA) field measurements. In response to stakeholder feedback, we also will create annual maps of basal area, timber volume, and surface fuels. We will further analyze the Landsat time series to identify and map forest disturbances including harvest, fire, insects, and stress (e.g., drought), which will provide insight into disturbance trends and post-disturbance recovery.
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Phase-II Research Objectives
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Objective 1Quantify and map above ground biomass carbon pools and fluxes across the western US 1984-2020 using a multi-tiered remote sensing approach.
Objective 2Recalibrate model-based forest carbon predictions leveraging the FIA forest inventory record, ICESat-2 and GEDI lidar using a model-assisted estimator.
Objective 3Map additional management-relevant forest attributes across the western US to engage stakeholders.
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Project Outputs
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Publications
Mauro, F., Monleon, V. J., Gray, A. N., Kuegler, O., Temesgen, H., Hudak, A. T., Fekety, P. A., & Yang, Z. (2022). Comparison of Model-Assisted Endogenous Poststratification Methods for Estimation of Above-Ground Biomass Change in Oregon, USA. Remote Sensing, 14(23), Article 23.
https://doi.org/10.3390/rs14236024 Mauro, F., Hudak, A. T., Fekety, P. A., Frank, B., Temesgen, H., Bell, D. M., Gregory, M. J., & McCarley, T. R. (2021). Regional Modeling of Forest Fuels and Structural Attributes Using Airborne Laser Scanning Data in Oregon. Remote Sensing, 13(2), 2. https://doi.org/10.3390/rs13020261 Fekety, P. A., Crookston, N. L., Hudak, A. T., Filippelli, S. K., Vogeler, J. C., & Falkowski, M. J. (2020). Hundred year projected carbon loads and species compositions for four National Forests in the northwestern USA. Carbon Balance and Management, 15(1), 5. https://doi.org/10.1186/s13021-020-00140-9 Filippelli, S. K., Falkowski, M. J., Hudak, A. T., Fekety, P. A., Vogeler, J. C., Khalyani, A. H., Rau, B. M., & Strand, E. K. (2020). Monitoring pinyon-juniper cover and aboveground biomass across the Great Basin. Environmental Research Letters, 15(2), 025004. https://doi.org/10.1088/1748-9326/ab6785 Hudak, A. T., Fekety, P. A., Kane, V. R., Kennedy, R. E., Filippelli, S. K., Falkowski, M. J., Tinkham, W. T., Smith, A. M. S., Crookston, N. L., Domke, et al. (2020). A carbon monitoring system for mapping regional, annual aboveground biomass across the northwestern USA. Environmental Research Letters, 15(9), 095003. https://doi.org/10.1088/1748-9326/ab93f9 |
Spatial Data Products
Fekety, P.A., and A.T. Hudak. (2020). Field observations for “A carbon monitoring system for mapping regional, annual aboveground biomass across the northwestern USA”. Forest Service Research Data Archive Fort Collins, CO. https://doi.org/10.2737/RDS-2020-0026.
Filippelli, S.K., M.J. Falkowski, A.T. Hudak, and P.A. Fekety. (20200. Carbon Monitoring System: Pinyon-Juniper Forest Live Aboveground Biomass, Great Basin, USA, 2000-2016. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/1755. Fekety, P.A., and A.T. Hudak. 2020. LiDAR Derived Forest Aboveground Biomass Maps, Northwestern USA, 2002-2016. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/1766. Fekety, P.A., and A.T. Hudak. 2019. Annual Aboveground Biomass Maps for Forests in the Northwestern USA, 2000-2016. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/1719. |
Project Team & Funding
Collaborators |
Funding Agency |
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Dr. Andrew Hudak - USDA Forest Service (Project PI)
Dr. Chad Babcock - University of Minnesota (Co-I) Dr. Grant Domke - USDA Forest Service (Co-I) Dr. Van Kane - University of Washington (Co-I) Dr. Robert Kennedy - Oregon State University (Co-I) Dr. Arjan Meddens - Washington State University (Co-I) Dr. Jacob Strunk - USDA Forest Service (Co-I) |
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