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. Moreover, support for Terra and Aqua-MODIS as well as PROBA-V is expected to arrive shortly.

Version: 1.0.1
Depends: R (≥ 2.10), raster, methods, utils, stats, grDevices, graphics
Imports: plyr, Rcpp (≥ 0.10.3), tools, stats4
LinkingTo: Rcpp
Suggests: devtools, knitr, rgdal, testthat, rmarkdown
Published: 2017-10-18
Author: Thomas Nauss, Hanna Meyer, Tim Appelhans, Florian Detsch
Maintainer: Florian Detsch <fdetsch at web.de>
License: GPL (≥ 3) | file LICENSE
NeedsCompilation: yes
Citation: satellite citation info
Materials: README NEWS
CRAN checks: satellite results

Downloads:

Reference manual: satellite.pdf
Vignettes: Landsat-8 Calibration
satellite - Classes and Methods for Satellite Data
Package source: satellite_1.0.1.tar.gz
Windows binaries: r-devel: satellite_1.0.0.zip, r-release: satellite_1.0.0.zip, r-oldrel: satellite_1.0.0.zip
OS X El Capitan binaries: r-release: satellite_1.0.0.tgz
OS X Mavericks binaries: r-oldrel: satellite_1.0.0.tgz
Old sources: satellite archive

Reverse dependencies:

Reverse imports: mapview

Linking:

Please use the canonical form https://CRAN.R-project.org/package=satellite to link to this page.