3 papers
stat.AP2020
A Bayesian hierarchical model to estimate land surface phenology parameters with harmonized Landsat 8 and Sentinel-2 images
Chad Babcock, Andrew O. Finley, Nathaniel Looker
We develop a Bayesian Land Surface Phenology (LSP) model and examine its performance using Enhanced Vegetation Index (EVI) observations derived from the Harmonized Landsat Sentinel…
stat.AP2018
Remote sensing to reduce the effects of spatial autocorrelation on design-based inference for forest inventory using systematic samples
Chad Babcock, Andrew O. Finley, Timothy G. Gregoire +1
Systematic sampling is often used to select plot locations for forest inventory estimation. However, it is not possible to derive a design-unbiased variance estimator for a systema…
stat.AP2017
Geostatistical estimation of forest biomass in interior Alaska combining Landsat-derived tree cover, sampled airborne lidar and field observations
Chad Babcock, Andrew O. Finley, Hans-Erik Andersen +9
The goal of this research was to develop and examine the performance of a geostatistical coregionalization modeling approach for combining field inventory measurements, strip sampl…