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RStoolbox

RStoolbox is an R package providing a wide range of tools for your every-day remote sensing processing needs. The available tool-set covers many aspects from data import, pre-processing, data analysis, image classification and graphical display. RStoolbox builds upon the raster package, which makes it suitable for processing large data-sets even on smaller workstations. Moreover in most parts decent support for parallel processing is implemented.

For more details have a look at the functions overview.

Installation

The package is now on CRAN and can be installed as usual via

install.packages("RStoolbox")

To install the latest version from GitHub you need to have r-base-dev (Linux) or Rtools (Windows) installed. Then run the following lines:

library(devtools)
install_github("bleutner/RStoolbox")

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Version

Install

install.packages('RStoolbox')

Monthly Downloads

2,047

Version

0.1.10

License

GPL (>= 3)

Issues

Pull Requests

Stars

Forks

Last Published

November 10th, 2017

Functions in RStoolbox (0.1.10)

rasterPCA

Principal Component Analysis for Rasters
readEE

Tidy import tool for EarthExplorer .csv export files
superClass

Supervised Classification
tasseledCap

Tasseled Cap Transformation
decodeQA

Decode QA flags to bit-words
encodeQA

Encode QA Conditions to Integers
getValidation

Extract validation results from superClass objects
estimateHaze

Estimate Image Haze for Dark Object Subtraction (DOS)
fCover

Fractional Cover Analysis
lsat

Landsat 5TM Example Data
normImage

Normalize Raster Images: Center and Scale
rasterCVA

Change Vector Analysis
rasterEntropy

Multi-layer Pixel Entropy
saveRSTBX

Save and Read RStoolbox Classification Results
ggR

Plot RasterLayers in ggplot with greyscale
predict.superClass

Predict a raster map based on a superClass model fit.
radCor

Radiometric Calibration and Correction
spectralIndices

Spectral Indices
topCor

Topographic Illumination Correction
unsuperClass

Unsupervised Classification
validateMap

Map accuracy assessment
writeSLI

Write ENVI spectral libraries
panSharpen

Pan Sharpen Imagery / Image Fusion
pifMatch

Pseudo-Invariant Features based Image Matching
classifyQA

Classify Landsat8 QA Band
cloudMask

Simple Cloud Detection
ggRGB

Create ggplot2 Raster Plots with RGB from 3 RasterLayers
histMatch

Image to Image Contrast Matching
rescaleImage

Linear Image Rescaling
rlogo

Rlogo as RasterBrick
cloudShadowMask

Cloud Shadow Masking for Flat Terrain
coregisterImages

Image to Image Co-Registration based on Mutual Information
rsOpts

Set global options for RStoolbox
sam

Spectral Angle Mapper
ImageMetaData

ImageMetaData Class
RStoolbox

RStoolbox: A Collection of Remote Sensing Tools
fortify.raster

Fortify method for classes from the raster package.
getMeta

Extract bandwise information from ImageMetaData
readMeta

Read Landsat MTL metadata files
readSLI

Read ENVI spectral libraries
srtm

SRTM Digital Elevation Model
stackMeta

Import separate Landsat files into single stack