2 citations · 4 across the 6 of their papers we have counts for
7 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…
A reduced rank model for spatial categorical data with many classes
Paul B May, Andrew Simpson, Semhar Michael
We develop an identifiable reduced-rank spatial multinomial model for categorical data with many classes. The model represents class-specific spatial effects through a low-dimensio…
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…
Spatial-temporal prediction of forest attributes using latent Gaussian models and inventory data
Paul B. May, Andrew O. Finley
The USDA Forest Inventory and Analysis (FIA) program conducts a national forest inventory for the United States through a network of permanent field plots. FIA produces estimates o…
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…
Calibrating satellite maps with field data for improved predictions of forest biomass
Paul B. May, Andrew O. Finley
Spatially explicit quantification of forest biomass is important for forest-health monitoring and carbon accounting. Direct field measurements of biomass are laborious and expensiv…
A spatial mixture model for spaceborne lidar observations over mixed forest and non-forest land types
Paul B. May, Andrew O. Finley, Ralph O. Dubayah
The Global Ecosystem Dynamics Investigation (GEDI) is a spaceborne lidar instrument that collects near-global measurements of forest structure. While expansive in scope, GEDI sampl…