New R package: RStoolbox: Tools for Remote Sensing Data Analysis

New R package: RStoolbox: Tools for Remote Sensing Data Analysis

written by EORhub

September 18, 2015

RStoolbox_RemoteSensing_Ecology_Benjamin_LeutnerWe are happy to announce the initial release of our *RStoolbox* package. The package has been developed by our PhD student Benjamin Leutner and will be used extensively in the upcoming book “Remote Sensing and GIS for Ecologists – Using Open Source software“.
RStoolbox provides various tools for remote sensing data analysis and is now available from CRAN:

and more details at:


The main focus of RStoolbox is to provide a set of high-level remote sensing tools for various classification tasks. This includes unsupervised and supervised classification with different classifiers, fractional cover analysis and a spectral angle mapper. Furthermore, several spectral transformations like vegetation indices, principal component analysis or tasseled cap transformation are available as well.

Besides that, we provide a set of data import and pre-processing functions. These include reading and tidying Landsat meta-data, importing ENVI spectral libraries, histogram matching, automatic image co-registration, topographic illumination correction and so on.

Last but not least, RStoolbox ships with two functions dedicated to plotting remote sensing data (*raster* objects) with *ggplot2* including RGB color compositing with various contrast stretching options.

RStoolbox is built on top of the *raster* package. To improve performance some functions use embedded C++ code via the *Rcpp* package.
Moreover, most functions have built-in support for parallel processing, which is activated by running raster::beginCluster() beforehand.


RStoolbox is hosted at

For a more details, including executed examples, please see


We sincerely hope that this package may be helpful for some people and are looking forward to any feedback, suggestions and bug reports.

you may also like:

Open short term position in Remote Sensing

Open short term position in Remote Sensing

Open short-term position (100%) in Remote Sensing Monitoring status and changes of the earth is essential for a sustainable management of our limited natural resources but also to ensure the functionality of our infrastructure. For a project dealing with the...

Internship and Inno Lab Presentations

Internship and Inno Lab Presentations

On Tuesday, 31st of January at 13 p.m. we will have the following presentations: Moritz Roesch: Spectral compositing for mapping bare soil areas and soil organic carbon estimation in Germany - Internship at RSS GmbH Lallu Nikerthil Prathapan: Landuse/ building type...