[R-sig-Geo] New package > RStoolbox: Remote Sensing Data Analysis in R

Benjamin Leutner benjamin.leutner at uni-wuerzburg.de
Mon Sep 14 08:36:04 CEST 2015

Dear list members,

We are happy to announce the initial release of our *RStoolbox* package.
RStoolbox provides various tools for remote sensing data analysis and is 
now available from CRAN:

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

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

Benjamin Leutner
Ned Horning

Benjamin Leutner M.Sc.

Julius-Maximilians-Universität Würzburg
Institut für Geographie und Geologie
Lehrstuhl für Fernerkundung
Campus Hubland Nord -86-
97074 Würzburg

Tel: +49-(0)931-31 89594
Fax: +49-(0)931-31 89594-0
eMail: benjamin.leutner at uni-wuerzburg.de
Web: http://www.fernerkundung.uni-wuerzburg.de

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