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 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:
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