Evaluating Site-Specific and Generic Spatial Models of Aboveground Forest Biomass Based on Landsat Time-Series and LiDAR Strip Samples in the Eastern USA. - Ram K. Deo; Matthew B. Russell; Grant M. Domke; Hans-Erik Andersen; Warren B. Cohen; Christopher W. Woodall (Remote. Sens., 2017)

rFIA: An R package for estimation of forest attributes with the US Forest Inventory and Analysis database. - Hunter Stanke; Andrew O. Finley; Aaron S. Weed; Brian F. Walters; Grant M. Domke (Environ. Model. Softw., 2020)

Fine-resolution landscape-scale biomass mapping using a spatiotemporal patchwork of LiDAR coverages. - Lucas K. Johnson; Michael J. Mahoney; Eddie Bevilacqua; Stephen V. Stehman; Grant M. Domke; Colin M. Beier (Int. J. Appl. Earth Obs. Geoinformation, 2022)

High-resolution landscape-scale biomass mapping using a spatiotemporal patchwork of LiDAR coverages. - Lucas K. Johnson; Michael J. Mahoney; Eddie Bevilacqua; Stephen V. Stehman; Grant M. Domke; Colin M. Beier (CoRR, 2022)

New allometric models for the USA create a step-change in forest carbon estimation, modeling, and mapping. - Lucas K. Johnson; Michael J. Mahoney; Grant M. Domke; Colin M. Beier (CoRR, 2024)