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

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

m

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:

https://cran.r-project.org/web/packages/RStoolbox

and more details at:

http://bleutner.github.io/RStoolbox/rstbx-docu


 

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 www.github.com/bleutner/RStoolbox

For a more details, including executed examples, please see

http://bleutner.github.io/RStoolbox/rstbx-docu

 

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:

new publication on biodiversity metrics to measure from Space

new publication on biodiversity metrics to measure from Space

Our new Nature Eco Evol article is finally available online. Lead by Andrew Skidmore with an impressive list of great co-authors we stress the importance of earth observation to monitor biodiversity (change) from space in addition to ground based methods. We mainly...

WASCAL MSc Program course on spatial data analysis

WASCAL MSc Program course on spatial data analysis

As part of the project WASCAL-DE-Coop, the Department of Remote Sensing at the University of Würzburg conducted the second course on Spatial Data Analysis, embedded in the WASCAL Master Research Program "Climate Change and Informatics" at the University Université...

most recent news:

new publication on biodiversity metrics to measure from Space

new publication on biodiversity metrics to measure from Space

Our new Nature Eco Evol article is finally available online. Lead by Andrew Skidmore with an impressive list of great co-authors we stress the importance of earth observation to monitor biodiversity (change) from space in addition to ground based methods. We mainly...

WASCAL MSc Program course on spatial data analysis

WASCAL MSc Program course on spatial data analysis

As part of the project WASCAL-DE-Coop, the Department of Remote Sensing at the University of Würzburg conducted the second course on Spatial Data Analysis, embedded in the WASCAL Master Research Program "Climate Change and Informatics" at the University Université...