Handling and Manipulating Remote Sensing Data R package satellite version 1.0.6 CRAN Task View: Agriculture (https://CRAN.R-project.org/view=Agriculture) Herein, we provide a broad variety of functions which are useful for handling, manipulating, and visualizing satellite-based remote sensing data. These operations range from mere data import and layer handling (eg subsetting), over Raster* typical data wrangling (eg crop, extend), to more sophisticated (pre-)processing tasks typically applied to satellite imagery (eg atmospheric and topographic correction). This functionality is complemented by a full access to the satellite layers' metadata at any stage and the documentation of performed actions in a separate log file. Currently available sensors include Landsat 4-5 (TM), 7 (ETM+), and 8 (OLI/TIRS Combined), and additional compatibility is ensured for the Landsat Global Land Survey data set. Software Depends: R (>= 2.10), raster, methods, utils, stats, grDevices, graphics Imports: plyr, Rcpp (>= 0.10.3), terra, tools, stats4 LinkingTo: Rcpp Suggests: devtools, knitr, testthat, rmarkdown Florian Detsch <fdetsch@web.de> Comprehensive R Archive Network (CRAN) Thomas Nauss [aut], Hanna Meyer [aut], Tim Appelhans [aut], Florian Detsch [aut, cre] MIT + file LICENSE (https://CRAN.R-project.org/package=satellite/LICENSE) 2025-08-21 application/tgz https://CRAN.R-project.org/package=satellite doi:10.32614/CRAN.package.satellite