| Patterns of canopy and surface layer consumption in a boreal forest fire from repeat airborne lidar M Alonzo, DC Morton, BD Cook, HE Andersen, C Babcock, R Pattison Environmental Research Letters 12 (6), 065004, 2017 | 68 | 2017 |
| Geostatistical estimation of forest biomass in interior Alaska combining Landsat-derived tree cover, sampled airborne lidar and field observations C Babcock, AO Finley, HE Andersen, R Pattison, BD Cook, DC Morton, ... Remote Sensing of Environment 212, 212-230, 2018 | 65 | 2018 |
| Spatial factor models for high-dimensional and large spatial data: An application in forest variable mapping D Taylor-Rodriguez, AO Finley, A Datta, C Babcock, HE Andersen, ... Statistica Sinica 29, 1155, 2019 | 58 | 2019 |
| Modeling forest biomass and growth: Coupling long-term inventory and LiDAR data C Babcock, AO Finley, BD Cook, A Weiskittel, CW Woodall Remote Sensing of Environment 182, 1-12, 2016 | 56 | 2016 |
| LiDAR based prediction of forest biomass using hierarchical models with spatially varying coefficients C Babcock, AO Finley, JB Bradford, R Kolka, R Birdsey, MG Ryan Remote Sensing of Environment 169, 113-127, 2015 | 56 | 2015 |
| Large-area hybrid estimation of aboveground biomass in interior Alaska using airborne laser scanning data LT Ene, T Gobakken, HE Andersen, E Næsset, BD Cook, DC Morton, ... Remote Sensing of Environment 204, 741-755, 2018 | 40 | 2018 |
| Harnessing the temporal dimension to improve object-based image analysis classification of wetlands M Halabisky, C Babcock, LM Moskal Remote Sensing 10 (9), 1467, 2018 | 38 | 2018 |
| Multivariate spatial regression models for predicting individual tree structure variables using LiDAR data C Babcock, J Matney, AO Finley, A Weiskittel, BD Cook IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2012 | 34 | 2012 |
| Classifying forest type in the national forest inventory context with airborne hyperspectral and lidar data C Shoot, HE Andersen, LM Moskal, C Babcock, BD Cook, DC Morton Remote Sensing 13 (10), 1863, 2021 | 31 | 2021 |
| Late-Pleistocene paleowinds and aeolian sand mobilization in north-central Lower Michigan AF Arbogast, MD Luehmann, BA Miller, PA Wernette, KM Adams, ... Aeolian Research 16, 109-116, 2015 | 26 | 2015 |
| Revealing the hidden carbon in forested wetland soils AJ Stewart, M Halabisky, C Babcock, DE Butman, DV D’Amore, ... Nature communications 15 (1), 726, 2024 | 20 | 2024 |
| A Bayesian model to estimate land surface phenology parameters with harmonized Landsat 8 and Sentinel-2 images C Babcock, AO Finley, N Looker Remote Sensing of Environment 261, 112471, 2021 | 17 | 2021 |
| Using machine learning to improve predictions and provide insight into fluvial sediment transport JW Lund, JT Groten, DL Karwan, C Babcock Hydrological Processes 36 (8), e14648, 2022 | 14 | 2022 |
| Dynamic spatial regression models for space‐varying forest stand tables AO Finley, S Banerjee, AR Weiskittel, C Babcock, BD Cook Environmetrics 25 (8), 596-609, 2014 | 14 | 2014 |
| An approach to estimating forest biomass while quantifying estimate uncertainty and correcting bias in machine learning maps E Emick, C Babcock, GW White, AT Hudak, GM Domke, AO Finley Remote Sensing of Environment 295, 113678, 2023 | 13 | 2023 |
| Joint hierarchical models for sparsely sampled high-dimensional LiDAR and forest variables AO Finley, S Banerjee, Y Zhou, BD Cook, C Babcock Remote Sensing of Environment 190, 149-161, 2017 | 12 | 2017 |
| Late-Pleistocene paleowinds and aeolian sand mobilization in north-central Lower Michigan. Aeolian Research 16, 109–116 AF Arbogast, MD Luehmann, BA Miller, PA Wernette, KM Adams, ... | 8 | 2015 |
| The 2014 Tanana Inventory Pilot: A USFS-NASA Partnership to Leverage Advanced Remote Sensing Technologies for Forest Inventory HE Andersen, C Babcock, R Pattison, B Cook, D Morton, A Finley Pushing Boundaries: New Directions in Inventory Techniques & Applications …, 2015 | 7 | 2015 |
| Models to support forest inventory and small area estimation using sparsely sampled LiDAR: A case study involving G-LiHT LiDAR in Tanana, Alaska AO Finley, HE Andersen, C Babcock, BD Cook, DC Morton, S Banerjee Journal of Agricultural, Biological and Environmental Statistics 29 (4), 695-722, 2024 | 6 | 2024 |
| Quantifying and correcting geolocation error in spaceborne LiDAR forest canopy observations using high spatial accuracy data: A Bayesian model approach ES Shannon, AO Finley, DJ Hayes, SN Noralez, AR Weiskittel, BD Cook, ... Environmetrics 35 (4), e2840, 2024 | 6 | 2024 |
Aaron WeiskittelUniversity of Maine, Center for Research on Sustainable ForestsVerificeret mail på maine.edu