20 citations · 31 across the 9 of their papers we have counts for
10 papers
Within-fire estimates of biomass loss across national forests of the US West Coast: inventory-informed inference with uncertainty
Elliot S. Shannon, Andrew O. Finley, Paul B. May +4
Wildfire is reshaping forests in the western United States (US), yet estimates of wildfire impacts often rely on burned-area summaries or satellite-derived severity metrics that do…
Leveraging national forest inventory data to estimate forest carbon density status and trends for small areas
Elliot S. Shannon, Andrew O. Finley, Paul B. May +5
National forest inventory (NFI) data are often costly to collect, which inhibits efforts to estimate parameters of interest for small spatial, temporal, or biophysical domains. Tra…
Hierarchical models for small area estimation using zero-inflated forest inventory variables: comparison and implementation
Grayson W. White, Andrew O. Finley, Josh K. Yamamoto +5
National Forest Inventory (NFI) data are typically limited to sparse networks of sample locations due to cost constraints. While design-based estimators provide reliable forest par…
Multivariate spatial models for small area estimation of species-specific forest inventory parameters
Jeffrey W. Doser, Malcolm S. Itter, Grant M. Domke +1
National Forest Inventories (NFIs) provide statistically reliable information on forest resources at national and other large spatial scales. As forest management and conservation…
From pixels to parcels: flexible, practical small-area uncertainty estimation for spatial averages obtained from aboveground biomass maps
Lucas K. Johnson, Grant M Domke, Stephen V Stehman +2
Fine-resolution maps of forest aboveground biomass (AGB) effectively represent spatial patterns and can be flexibly aggregated to map subregions by computing spatial averages or to…
Spatio-temporal areal models to support small area estimation: An application to national-scale forest carbon monitoring
Elliot S. Shannon, Andrew O. Finley, Paul B. May +4
National Forest Inventory (NFI) programs can provide vital information on the status, trend, and change in forest parameters. These programs are being increasingly asked to provide…
New allometric models for the USA create a step-change in forest carbon estimation, modeling, and mapping
Lucas K. Johnson, Michael J. Mahoney, Grant Domke +1
The United States national forest inventory (NFI) serves as the foundation for forest aboveground biomass (AGB) and carbon accounting across the nation. These data enable design-ba…
Fine-resolution landscape-scale biomass mapping using a spatiotemporal patchwork of LiDAR coverages
Lucas K. Johnson, Michael J. Mahoney, Eddie Bevilacqua +3
Estimating forest AGB at large scales and fine spatial resolutions has become increasingly important for greenhouse gas accounting, monitoring, and verification efforts to mitigate…
Simplifying small area estimation with rFIA: a demonstration of tools and techniques
Hunter Stanke, Andrew O. Finley, Grant M. Domke
The United States (US) Forest Service Forest Inventory and Analysis (FIA) program operates the national forest inventory of the US. Traditionally, the FIA program has relied on sam…
rFIA: An R package for estimation of forest attributes with the Forest Inventory and Analysis Database
Hunter Stanke, Andrew O. Finley, Aaron S. Weed +2
Forest Inventory and Analysis (FIA) is a US Department of Agriculture Forest Service program that aims to monitor changes in forests across the US. FIA hosts one of the largest eco…