Chad R Babcock

20132019
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  • 9 Similar Profiles
lidar Agriculture & Biology
aboveground biomass Earth & Environmental Sciences
Spatial Model Mathematics
biomass Agriculture & Biology
Landsat Earth & Environmental Sciences
forest inventory Earth & Environmental Sciences
prediction Earth & Environmental Sciences
Factor Models Mathematics

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Research Output 2013 2019

Spatial factor models for high-dimensional and large spatial data: An application in forest variable mapping

Taylor-Rodriguez, D., Finley, A. O., Datta, A., Babcock, C., Andersen, H. E., Cook, B. D., Morton, D. C. & Banerjee, S., Jan 1 2019, In : Statistica Sinica. 29, 3, p. 1155-1180 26 p.

Research output: Contribution to journalArticle

Factor Models
Spatial Model
Large Data
Spatial Data
High-dimensional
5 Citations (Scopus)

Geostatistical estimation of forest biomass in interior Alaska combining Landsat-derived tree cover, sampled airborne lidar and field observations

Babcock, C. R., Finley, A. O., Andersen, H. E., Pattison, R., Cook, B. D., Morton, D. C., Alonzo, M., Nelson, R., Gregoire, T., Ene, L., Gobakken, T. & Næsset, E., Jun 1 2018, In : Remote Sensing of Environment. 212, p. 212-230 19 p.

Research output: Contribution to journalArticle

lidar
Optical radar
Landsat
aboveground biomass
Biomass
2 Citations (Scopus)

Harnessing the temporal dimension to improve object-based image analysis classification of wetlands

Halabisky, M., Babcock, C. & Moskal, L. M., Sep 1 2018, In : Remote Sensing. 10, 9, 1467.

Research output: Contribution to journalArticle

Open Access
image analysis
wetland
time series
Landsat
sampling
12 Citations (Scopus)

Large-area hybrid estimation of aboveground biomass in interior Alaska using airborne laser scanning data

Ene, L. T., Gobakken, T., Andersen, H. E., Næsset, E., Cook, B. D., Morton, D. C., Babcock, C. R. & Nelson, R., Jan 1 2018, In : Remote Sensing of Environment. 204, p. 741-755 15 p.

Research output: Contribution to journalArticle

aboveground biomass
lasers
Biomass
laser
Scanning
5 Citations (Scopus)

Joint hierarchical models for sparsely sampled high-dimensional LiDAR and forest variables

Finley, A. O., Banerjee, S., Zhou, Y., Cook, B. D. & Babcock, C. R., Mar 1 2017, In : Remote Sensing of Environment. 190, p. 149-161 13 p.

Research output: Contribution to journalArticle

lidar
aboveground biomass
experimental forests
Biomass
forest inventory