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

[Anand Sookun]

Hi

Thanks for theis. I needed this for land cover claasification for landsat 8
and hope it will be useful. I may contact you for help if required.

Cheers

Anand
University of Mauritius

On Mon, Sep 14, 2015 at 10:36 AM, Benjamin Leutner <
benjamin.leutner at uni-wuerzburg.de> wrote:

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



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