satellite: Handling and Manipulating Remote Sensing Data

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.

Version: 1.0.5
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
Published: 2024-02-10
DOI: 10.32614/CRAN.package.satellite
Author: Thomas Nauss, Hanna Meyer, Tim Appelhans, Florian Detsch
Maintainer: Florian Detsch <fdetsch at>
License: MIT + file LICENSE
NeedsCompilation: yes
Materials: README NEWS
In views: Agriculture
CRAN checks: satellite results


Reference manual: satellite.pdf
Vignettes: Landsat-8 Calibration
satellite - Classes and Methods for Satellite Data


Package source: satellite_1.0.5.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): satellite_1.0.5.tgz, r-oldrel (arm64): satellite_1.0.5.tgz, r-release (x86_64): satellite_1.0.5.tgz, r-oldrel (x86_64): satellite_1.0.5.tgz
Old sources: satellite archive

Reverse dependencies:

Reverse imports: mapview


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