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Chad Babcock
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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
612017
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
552018
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
552015
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
542019
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
502016
Large-area hybrid estimation of aboveground biomass in interior Alaska using airborne laser scanning data
LT Ene, T Gobakken, HE Andersen, E Nęsset, BD Cook, DC Morton, ...
Remote Sensing of Environment 204, 741-755, 2018
382018
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
332012
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
312018
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
272015
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
242021
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
142021
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
142014
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
122017
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
92022
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
52015
Downloading and processing noaa hourly weather station data
P Delamatar, A Finley, C Babcock
dim (st) 1 (30538), 12, 2013
52013
Remote sensing to reduce the effects of spatial autocorrelation on design-based inference for forest inventory using systematic samples
C Babcock, AO Finley, TG Gregoire, HE Andersen
arXiv preprint arXiv:1810.08588, 2018
42018
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
32024
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
32023
Structural characteristics of black spruce (Picea mariana) infested with eastern spruce dwarf mistletoe (Arceuthobium pusillum), Minnesota, USA
ER Gray, MB Russell, C Babcock, MA Windmuller-Campione
Forest Ecology and Management 523, 120495, 2022
32022
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