Random Forest Outperformed Convolutional Neural Networks for Shrub Willow Above Ground Biomass Estimation Using Multi-Spectral UAS Imagery. - Haifa Tamiminia; Bahram Salehi; Masoud MahdianPari; Colin M. Beier; Daniel J. Klimkowski; Timothy A. Volk (IGARSS, 2021)

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)

Classification and mapping of low-statured 'shrubland' cover types in post-agricultural landscapes of the US Northeast. - Michael J. Mahoney; Lucas K. Johnson; Colin M. Beier (CoRR, 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)

terrainr: An R package for creating immersive virtual environments. - Michael J. Mahoney; Colin M. Beier; Aidan Ackerman (J. Open Source Softw., 2022)

unifir: A Unifying API for Working with Unity in R. - Michael J. Mahoney; Colin M. Beier; Aidan Ackerman (J. Open Source Softw., 2022)

Mapping Two Decades of New York State Forest Aboveground Biomass Change Using Remote Sensing. - Haifa Tamiminia; Bahram Salehi; Masoud MahdianPari; Colin M. Beier; Lucas K. Johnson (Remote. Sens., 2022)

Mapping historical forest biomass for stock-change assessments at parcel to landscape scales. - Lucas K. Johnson; Michael J. Mahoney; Madeleine L. Desrochers; Colin M. Beier (CoRR, 2023)

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)