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 web.de> BugReports: https://github.com/environmentalinformatics-marburg/satellite/issues License: MIT + file LICENSE URL: https://github.com/environmentalinformatics-marburg/satellite NeedsCompilation: yes Materials: README NEWS In views: Agriculture CRAN checks: satellite results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=satellite to link to this page.
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