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.


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satellite

This smorgasbord provides a variety of functions which are useful for handling, manipulating and visualizing remote sensing data.

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Installation

For the stable release version of satellite use

install.packages("satellite")

To install the development version use

library(devtools)
install_github("environmentalinformatics-marburg/satellite", ref = "develop")

Contact

Please file bug reports and feature requests at https://github.com/environmentalinformatics-marburg/satellite/issues

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("satellite")

1.0.6 by Florian Detsch, a year ago


https://github.com/environmentalinformatics-marburg/satellite


Report a bug at https://github.com/environmentalinformatics-marburg/satellite/issues


Browse source code at https://github.com/cran/satellite


Authors: Thomas Nauss [aut] , Hanna Meyer [aut] , Tim Appelhans [aut] , Florian Detsch [aut, cre]


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports plyr, Rcpp, terra, tools, stats4

Depends on raster, methods, utils, stats, grDevices, graphics

Suggests devtools, knitr, testthat, rmarkdown

Linking to Rcpp


Imported by mapview.


See at CRAN