Papers

Papers

Click “[PDF]” to download each paper.

In Review

Johnson, L. K., Mahoney, M. J., Bevilacqua, E., Stehman, S. V., Domke, G. M., and Beier, C. M. In Review. High-resolution landscape-scale biomass mapping using a spatiotemporal patchwork of LiDAR coverages. In review at Environmental Research Letters. https://doi.org/10.48550/arXiv.2205.08530 [PDF]

Mahoney, MJ, Johnson, J. K., and Beier, C. M. In Review. Classification and mapping of low-statured ‘shrubland’ cover types in post-agricultural landscapes of the US Northeast. In review at ISPRS Journal of Photogrammetry and Remote Sensing. https://doi.org/10.48550/arXiv.2205.05047 [PDF]

2022

Mahoney, MJ, Johnson, J. K., Bevilacqua, E., and Beier, C. M. 2022. Ground noise filtering produces inferior models of forest aboveground biomass. GIScience and Remote Sensing 59(1): 1266-1280. https://doi.org/10.1080/15481603.2022.2103069 [PDF]

Mahoney, MJ, Beier, CM, and Ackerman, AC. 2022. unifir: A Unifying API for Interacting with Unity from R. Journal of Open Source Software 7(73): 4388. https://doi.org/10.21105/joss.04388 [PDF]

Tamiminia, H., Salehi, B., Mahdianpari, M., Beier, C. M., Johnson, L. K., Phoenix, D. B., and, Mahoney, M. J. 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. https://doi.org/10.1080/10106049.2022.2071475

Mahoney, MJ, Beier, CM, and Ackerman, AC. 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]

2021

Mahoney, MJ, Beier, CM, and Ackerman, AC. 2021. Interactive landscape simulations for visual resource assessment. VRSC 2021 Conference Proceedings. [PDF]

2020

Mahoney, MJ, and Stella, JC. 2020. Stem size selectivity is stronger than species preferences for beaver, a central place forager. Forest Ecology and Management 475: 118331. https://doi.org/10.1016/j.foreco.2020.118331 [PDF]