Visualization and Analysis of Vortex-Turbine Intersections in Wind Farms. - Sohail Shafii; Harald Obermaier; Rodman R. Linn; Eunmo Koo; Mario Hlawitschka; Christoph Garth; Bernd Hamann; Kenneth I. Joy (IEEE Trans. Vis. Comput. Graph., 2013)

Modeling fuels and fire effects in 3D: Model description and applications. - François Pimont; Russell Parsons; Eric Rigolot; François de Coligny; Jean-Luc Dupuy; Philippe Dreyfus; Rodman R. Linn (Environ. Model. Softw., 2016)

The ISTI Rapid Response on Exploring Cloud Computing 2018. - Carleton Coffrin; James Arnold; Stephan J. Eidenbenz; Derek Aberle; John Ambrosiano; Zachary K. Baker; Sara Brambilla; Michael J. Brown; K. Nolan Carter; Pinghan Chu; Patrick Conry; Keeley Costigan; et al. (CoRR, 2019)

QUIC-fire: A fast-running simulation tool for prescribed fire planning. - Rodman R. Linn; Scott L. Goodrick; Sara Brambilla; Michael J. Brown; Richard S. Middleton; Joseph J. O'Brien; John Kevin Hiers (Environ. Model. Softw., 2020)

TrueTrees: A Scalable Workflow for the Integration of Airborne LiDAR Scanning Data into Fuel Models for Prescribed Fire Simulations. - Daniel Roten; Lucas A. Wells; Daniel Crawl; Russell Parsons; Anthony Marcozzi; Rodman R. Linn; John Kevin Hiers; Ilkay Altintas (e-Science, 2023)

Automated Structural-level Alignment of Multi-view TLS and ALS Point Clouds in Forestry. - Juan Castorena; L. Turin Dickman; Adam J. Killebrew; James R. Gattiker; Rodman R. Linn; E. Louise Loudermilk (CoRR, 2023)

Capturing sub-grid temperature and moisture variations for wildland fire modeling. - Ginny A. Marshall; Rodman R. Linn; Marlin Holmes; Scott L. Goodrick; Dan K. Thompson; Arman Hemmati (Environ. Model. Softw., 2023)

QUIC-URB and QUIC-fire extension to complex terrain: Development of a terrain-following coordinate system. - David Robinson; Sara Brambilla; Michael J. Brown; Patrick T. Conry; Bryan Quaife; Rodman R. Linn (Environ. Model. Softw., 2023)

The effect of terrain-influenced winds on fire spread in QUIC-Fire. - David Robinson; Sara Brambilla; Julia Oliveto; Michael J. Brown; Adam Atchley; Rodman R. Linn (Environ. Model. Softw., 2023)

Wildland fire mid-story: A generative modeling approach for representative fuels. - Grant Hutchings; James R. Gattiker; Braden Scherting; Rodman R. Linn (Environ. Model. Softw., 2024)

Modeling the impact of smoke from prescribed fire on road visibility. - Sara Brambilla; Diego Rojas; David J. Robinson; Alexander J. Josephson; Matthew A. Nelson; Rodman R. Linn (Environ. Model. Softw., 2025)

FastFuels: Advancing wildland fire modeling with high-resolution 3D fuel data and data assimilation. - Anthony Marcozzi; Lucas A. Wells; Russell Parsons; Eric Mueller; Rodman R. Linn; John Kevin Hiers (Environ. Model. Softw., 2025)

Deep-learning-based canopy height model generation from sub-meter resolution panchromatic satellite imagery. - Charles J. Abolt; Javier E. Santos; Adam Atchley; Lucas A. Wells; Daithi Martin; Russell Parsons; Rodman R. Linn (Mach. Learn. Sci. Technol., 2025)