Fine-resolution landscape-scale biomass mapping using a spatiotemporal patchwork of LiDAR coverages LK Johnson, MJ Mahoney, E Bevilacqua, SV Stehman, GM Domke, ... International Journal of Applied Earth Observation and Geoinformation 114 …, 2022 | 16 | 2022 |
Assessing the performance of spatial cross-validation approaches for models of spatially structured data MJ Mahoney, LK Johnson, J Silge, H Frick, M Kuhn, CM Beier arXiv preprint arXiv:2303.07334, 2023 | 10 | 2023 |
A COMPARISON OF DECISION TREE-BASED MODELS FOR FOREST ABOVE-GROUND BIOMASS ESTIMATION USING A COMBINATION OF AIRBORNE LIDAR AND LANDSAT DATA. H Tamiminia, B Salehi, M Mahdianpari, CM Beier, L Johnson, DB Phoenix ISPRS Annals of Photogrammetry, Remote Sensing & Spatial Information Sciences, 2021 | 9 | 2021 |
Decision tree-based machine learning models for above-ground biomass estimation using multi-source remote sensing data and object-based image analysis H Tamiminia, B Salehi, M Mahdianpari, CM Beier, L Johnson, DB Phoenix, ... Geocarto international 37 (26), 12763-12791, 2022 | 8 | 2022 |
A COMPARISON OF RANDOM FOREST AND LIGHT GRADIENT BOOSTING MACHINE FOR FOREST ABOVE-GROUND BIOMASS ESTIMATION USING A COMBINATION OF LANDSAT, ALOS PALSAR, AND AIRBORNE LIDAR DATA. H Tamiminia, B Salehi, M Mahdianpari, CM Beier, L Johnson, DB Phoenix International Archives of the Photogrammetry, Remote Sensing & Spatial …, 2021 | 6 | 2021 |
Filtering ground noise from LiDAR returns produces inferior models of forest aboveground biomass in heterogenous landscapes MJ Mahoney, LK Johnson, E Bevilacqua, CM Beier GIScience & Remote Sensing 59 (1), 1266-1280, 2022 | 5 | 2022 |
Classification and mapping of low-statured shrubland cover types in post-agricultural landscapes of the US Northeast MJ Mahoney, LK Johnson, AZ Guinan, CM Beier International Journal of Remote Sensing 43 (19-24), 7117-7138, 2022 | 5 | 2022 |
Mapping historical forest biomass for stock-change assessments at parcel to landscape scales LK Johnson, MJ Mahoney, ML Desrochers, CM Beier Forest Ecology and Management 546, 121348, 2023 | 4 | 2023 |
Ground-Truthing Forest Change Detection Algorithms in Working Forests of the US Northeast ML Desrochers, W Tripp, S Logan, E Bevilacqua, L Johnson, CM Beier Journal of Forestry 120 (5), 575-587, 2022 | 3 | 2022 |
AI for shrubland identification and mapping MJ Mahoney, LK Johnson, CM Beier Artificial Intelligence in Earth Science, 295-316, 2023 | 1 | 2023 |
Declining trends in canopy disturbance across reserve forest landscapes of the northeastern US ML Desrochers, EA Clippard, LK Johnson, CM Beier Forest Ecology and Management 578, 122463, 2025 | | 2025 |
From pixels to parcels: flexible, practical small-area uncertainty estimation for spatial averages obtained from aboveground biomass maps LK Johnson, GM Domke, SV Stehman, MJ Mahoney, CM Beier arXiv preprint arXiv:2412.16403, 2024 | | 2024 |
Data associated with paper titled" Declining trends in canopy disturbance across reserve forest landscapes of the northeastern US" M Desrochers, E Clippard, L Johnson, C Beier Zenodo, 2024 | | 2024 |
Estimating merchantable and non-merchantable wood volume in slash walls using terrestrial and airborne LiDAR N Cranmer, T Han, B Chedzoy, PJ Smallidge, C Beier, L Johnson, X Xu Forest Ecology and Management 569, 122211, 2024 | | 2024 |
New allometric models for the USA create a step-change in forest carbon estimation, modeling, and mapping LK Johnson, MJ Mahoney, G Domke, CM Beier arXiv preprint arXiv:2405.04507, 2024 | | 2024 |
Consistent Workflows for Assessing Model Performance: Tools and Applications to Natural Climate Solutions M Mahoney, LK Johnson, CM Beier AGU Fall Meeting Abstracts 2023, H23H-03, 2023 | | 2023 |
Bridging the Gap Between Pixels and Minimum Estimation Units: Small-Area Uncertainty Estimation with Forest Aboveground Biomass Maps LK Johnson, MJ Mahoney, G Domke, CM Beier AGU Fall Meeting Abstracts 2023 (964), GC13E-0964, 2023 | | 2023 |
An integrated carbon monitoring framework for stock-change GHG inventory at parcel to landscape scales: approach, outputs and applications. CM Beier, LK Johnson, MJ Mahoney, M Desrochers, GM Domke AGU Fall Meeting Abstracts 2023, GC12A-04, 2023 | | 2023 |
Historical Time Series Biomass Modeling: To Train on Plots or Pixels? LK Johnson, MJ Mahoney, CM Beier AGU Fall Meeting Abstracts 2022, GC36A-06, 2022 | | 2022 |
Data for: AI for Shrubland Identification and Mapping (in AI For Earth Science) MJ Mahoney, LK Johnson, CM Beier Zenodo, 2022 | | 2022 |