Classify RGB Images into Forest or Non-Forest R package deforestable version 3.1.2 Implements two out-of box classifiers presented in <doi:10.1002/env.2848> for distinguishing forest and non-forest terrain images. Under these algorithms, there are frequentist approaches: one parametric, using stable distributions, and another one- non-parametric, using the squared Mahalanobis distance. The package also contains functions for data handling and building of new classifiers as well as some test data set. Software Depends: R (>= 4.1.0) Imports: terra, jpeg, plyr, StableEstim, Rcpp (>= 1.0.9) LinkingTo: Rcpp, RcppArmadillo Suggests: testthat (>= 3.0.0) Dmitry Otryakhin <d.otryakhin.acad@protonmail.ch> Comprehensive R Archive Network (CRAN) Jesper Muren [aut] (ORCID: <https://orcid.org/0000-0002-9208-5325>), Dmitry Otryakhin [aut, cre] (ORCID: <https://orcid.org/0000-0002-4700-7221>) GPL-3 2025-10-19 application/tgz https://CRAN.R-project.org/package=deforestable doi:10.32614/CRAN.package.deforestable