Lab Publications

This is a manually-updated list of publications put out by the lab and its members. Have a new paper or preprint? Add it to the list! Newer publications go on top, prefixed with #. to properly number the list.

Preprints

  1. Mahoney, Michael J., Lucas K. Johnson, Julia Silge, Hannah Frick, Max Kuhn, and Colin M. Beier. 2023. “Assessing the performance of spatial cross-validation approaches for models of spatially structured data.” https://doi.org/10.48550/arXiv.2303.07334 PDF

Published CAFRI works

  1. Johnson, Lucas K., Michael J. Mahoney, Eddie Bevilacqua, Stephen V. Stehman, Grant Domke, and Colin M. Beier. 2022. “Fine-Resolution Landscape-Scale Biomass Mapping Using a Spatiotemporal Patchwork of LiDAR Coverages.” International Journal of Applied Earth Observation and Geoinformation 114: 103059. https://doi.org/10.1016/j.jag.2022.103059. PDF

  2. Mahoney, Michael J., Lucas K. Johnson, Eddie Bevilacqua, and Colin M. Beier. 2022. “ Filtering ground noise from LiDAR returns produces inferior models of forest aboveground biomass in heterogenous landscapes.” GIScience & Remote Sensing 59(1): pp 1266-1280. https://doi.org/10.1080/15481603.2022.2103069. PDF

  3. Mahoney, Michael J., Lucas K. Johnson, and Colin M. Beier. 2022. “Classification and Mapping of Low-Statured ’Shrubland’ Cover Types in Post-Agricultural Landscapes of the US Northeast.” International Journal of Remote Sensing 43(19-24): pp 7117-7138. https://doi.org/10.1080/01431161.2022.2155086. PDF

  4. Desrochers, Madeleine L., Wayne Tripp, Stephen Logan, Eddie Bevilacqua, Lucas Johnson, and Colin M. Beier. 2022. “Ground-Truthing Forest Change Detection Algorithms in Working Forests of the US Northeast.” Journal of Forestry, February. https://doi.org/10.1093/jofore/fvab075. PDF

  5. Mahoney, Michael J., Colin M. Beier, and Aidan C. Ackerman. 2022. “terrainr: An R Package for Creating Immersive Virtual Environments.” Journal of Open Source Software 7 (69): 4060. https://doi.org/10.21105/joss.04060. PDF

  6. Mahoney, Michael J., Colin M. Beier, and Aidan C. Ackerman. 2022. “unifir: A Unifying API for Working with Unity in R.” Journal of Open Source Software 7 (73): 4388. https://doi.org/10.21105/joss.04388. PDF

  7. Mahoney, Michael J., Colin M. Beier, and Aidan C. Ackerman. 2022. “Interactive landscape simulations for visual resource assessment.” In R. Hoffman, B. Chamberlain, & R. Smardon (Eds.), VRSC 2021 Conference Proceedings. PDF

Published CAFRI-adjacent works

  1. Tamiminia, Haifa, Bahram Salehi, Masoud Mahdianpari, Colin M. Beier, Lucas Johnson, Daniel B. Phoenix, and Michael Mahoney. 2022. “Decision Tree-Based Machine Learning Models for Above-Ground Biomass Estimation Using Multi-Source Remote Sensing Data and Object-Based Image Analysis.” Geocarto International, July, 1–29. https://doi.org/10.1080/10106049.2022.2071475.