RFplus: Progressive Bias Correction of Satellite Environmental Data

Implements a bias correction method that combines Random Forest models with Quantile Mapping to improve the accuracy of satellite-derived environmental datasets. The model corrects biases in meteorological variables, such as precipitation and temperature, by integrating in situ measurements and a Digital Elevation Model (DEM).

Version: 1.2-2
Depends: R (≥ 4.4.0)
Imports: terra, randomForest, data.table, dplyr, pbapply, qmap
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2025-02-04
DOI: 10.32614/CRAN.package.RFplus
Author: Jonnathan Augusto Landi Bermeo ORCID iD [aut, cre, cph]
Maintainer: Jonnathan Augusto Landi Bermeo <jonnathan.landi at outlook.com>
BugReports: https://github.com/Jonnathan-Landi/RFplus/issues
License: GPL (≥ 3)
URL: https://github.com/Jonnathan-Landi/RFplus
NeedsCompilation: no
Materials: README NEWS
CRAN checks: RFplus results

Documentation:

Reference manual: RFplus.pdf
Vignettes: Progressive Bias Correction of Satellite Environmental Data using RFplus (source, R code)

Downloads:

Package source: RFplus_1.2-2.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): RFplus_1.2-2.tgz, r-oldrel (arm64): not available, r-release (x86_64): RFplus_1.2-2.tgz, r-oldrel (x86_64): not available

Linking:

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