Imputing forest attributes with FOSTER

Martin Queinnec

2020-10-28

Introduction

The goal of this vignette is to illustrate how FOSTER can be used to impute ALS-derived forest variables (response variables Y) to a larger area covered by multispectral satellite imagery and topographic data (predictor variables X). We can usually describe an imputation problem by defining two sets of observations: the reference and the target observations. At reference observations, both Y and X variables are defined while only X variables are available at targets. Ultimately, targets are the area where we want to impute response variables.

FOSTER has been designed around the following workflow: