activity
20242026
most citedCalibrating satellite maps with field data for improved predictions of forest biomass

2 citations · 4 across the 8 of their papers we have counts for

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Showing stat.APShow all

9 papers · 1 filter

stat.AP2026

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…

stat.AP2025

A spatio-temporal statistical model for property valuation at country-scale with adjustments for regional submarkets

Brian O'Donovan, Andrew Finley, James Sweeney

Valuing residential property is inherently complex, requiring consideration of numerous environmental, economic, and property-specific factors. These complexities present significa…

stat.AP2025★ 1 cited

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…

stat.AP2025

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…

stat.AP2025★ 1 cited

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…

stat.AP2025

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…

stat.AP2024

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…

stat.AP2024★ 2 cited

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…

stat.AP2024

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…