Other packages > Find by keyword >

satellite  

Handling and Manipulating Remote Sensing Data
View on CRAN: Click here


Download and install satellite package within the R console
Install from CRAN:
install.packages("satellite")

Install from Github:
library("remotes")
install_github("cran/satellite")

Install by package version:
library("remotes")
install_version("satellite", "1.0.6")



Attach the package and use:
library("satellite")
Maintained by
Florian Detsch
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-07-22
Latest Update: 2025-09-03
Description:
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.
How to cite:
Florian Detsch (2015). satellite: Handling and Manipulating Remote Sensing Data. R package version 1.0.6, https://cran.r-project.org/web/packages/satellite. Accessed 07 Mar. 2026.
Previous versions and publish date:
0.1.0 (2015-07-22 12:37), 0.2.0 (2015-09-10 16:34), 1.0.0 (2017-08-03 17:22), 1.0.1 (2017-10-18 13:12), 1.0.2 (2019-12-09 10:10), 1.0.3 (2021-10-06 13:50), 1.0.4 (2021-10-12 11:10), 1.0.5 (2024-02-10 11:50)
Other packages that cited satellite R package
View satellite citation profile
Other R packages that satellite depends, imports, suggests or enhances
Complete documentation for satellite
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

testDriveR  
Teaching Data for Statistics and Data Science
Provides data sets for teaching statistics and data science courses. It includes a sample of data f ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
lmSubsets  
Exact Variable-Subset Selection in Linear Regression
Exact and approximation algorithms for variable-subset selection in ordinary linear regression mode ...
Download / Learn more Package Citations See dependency  
ReviewR  
A Light-Weight, Portable Tool for Reviewing Individual Patient Records
A portable Shiny tool to explore patient-level electronic health record data and perform chart revi ...
Download / Learn more Package Citations See dependency  
portalr  
Create Useful Summaries of the Portal Data
Download and generate summaries for the rodent, plant, ant, and weather data from the Portal Projec ...
Download / Learn more Package Citations See dependency  
SAMtool  
Stock Assessment Methods Toolkit
Simulation tools for closed-loop simulation are provided for the 'MSEtool' operating model to inform ...
Download / Learn more Package Citations See dependency  

26,264

R Packages

223,360

Dependencies

70,376

Author Associations

26,265

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA