Papers

Papers

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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. In Review. Ground noise filtering produces inferior models of forest aboveground biomass. In press at GIScience and Remote Sensing. https://doi.org/10.31223/X5HG99 [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]