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deforestable

Classify RGB Images into Forest or Non-Forest

v3.1.2 · Oct 19, 2025 · GPL-3

Description

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.

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CRAN Check Status

14 OK
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r-devel-linux-x86_64-debian-clang OK
r-devel-linux-x86_64-debian-gcc OK
r-devel-linux-x86_64-fedora-clang OK
r-devel-linux-x86_64-fedora-gcc OK
r-devel-macos-arm64 OK
r-devel-windows-x86_64 OK
r-oldrel-macos-arm64 OK
r-oldrel-macos-x86_64 OK
r-oldrel-windows-x86_64 OK
r-patched-linux-x86_64 OK
r-release-linux-x86_64 OK
r-release-macos-arm64 OK
r-release-macos-x86_64 OK
r-release-windows-x86_64 OK

Check History

OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026

Dependency Network

Dependencies Reverse dependencies terra jpeg plyr StableEstim Rcpp deforestable

Version History

new 3.1.2 Mar 10, 2026
updated 3.1.2 ← 3.1.1 diff Oct 19, 2025
updated 3.1.1 ← 3.1.0 diff Oct 15, 2022
updated 3.1.0 ← 3.0.0 diff Oct 9, 2022
new 3.0.0 Apr 12, 2022