Research Output per year
Fingerprint The Fingerprint is created by mining the titles and abstracts of the person's research outputs and projects/funding awards to create an index of weighted terms from discipline-specific thesauri.
- 11 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
Network
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Research Output 2013 2019
- 11 Article
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 journal › Article
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 2018, In : Remote Sensing of Environment. 212, p. 212-230 19 p.Research output: Contribution to journal › Article
lidar
Optical radar
Landsat
aboveground biomass
Biomass
3
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 journal › Article
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 2018, In : Remote Sensing of Environment. 204, p. 741-755 15 p.Research output: Contribution to journal › Article
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., Mar 1 2017, In : Remote Sensing of Environment. 190, p. 149-161 13 p.Research output: Contribution to journal › Article
lidar
aboveground biomass
experimental forests
Biomass
forest inventory