Learn R Programming

⚠️There's a newer version (1.0.0) of this package.Take me there.

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")

Copy Link

Version

Install

install.packages('RStoolbox')

Monthly Downloads

2,047

Version

0.2.6

License

GPL (>= 3)

Issues

Pull Requests

Stars

Forks

Last Published

July 23rd, 2019

Functions in RStoolbox (0.2.6)

encodeQA

Encode QA Conditions to Integers
RStoolbox

RStoolbox: A Collection of Remote Sensing Tools
decodeQA

Decode QA flags to bit-words
coregisterImages

Image to Image Co-Registration based on Mutual Information
ImageMetaData

ImageMetaData Class
cloudShadowMask

Cloud Shadow Masking for Flat Terrain
cloudMask

Simple Cloud Detection
classifyQA

Classify Landsat QA bands
ggRGB

Create ggplot2 Raster Plots with RGB from 3 RasterLayers
lsat

Landsat 5TM Example Data
estimateHaze

Estimate Image Haze for Dark Object Subtraction (DOS)
rasterEntropy

Multi-layer Pixel Entropy
rasterPCA

Principal Component Analysis for Rasters
mesma

Multiple Endmember Spectral Mixture Analysis (Spectral Unmixing)
rasterCVA

Change Vector Analysis
readSLI

Read ENVI spectral libraries
getValidation

Extract validation results from superClass objects
radCor

Radiometric Calibration and Correction
fCover

Fractional Cover Analysis
ggR

Plot RasterLayers in ggplot with greyscale
histMatch

Image to Image Contrast Matching
tasseledCap

Tasseled Cap Transformation
oneHotEncode

One-hot encode a raster or vector
pifMatch

Pseudo-Invariant Features based Image Matching
superClass

Supervised Classification
panSharpen

Pan Sharpen Imagery / Image Fusion
normImage

Normalize Raster Images: Center and Scale
stackMeta

Import separate Landsat files into single stack
writeSLI

Write ENVI spectral libraries
readEE

Tidy import tool for EarthExplorer .csv export files
readMeta

Read Landsat MTL metadata files
topCor

Topographic Illumination Correction
fortify.raster

Fortify method for classes from the raster package.
rsOpts

Set global options for RStoolbox
rlogo

Rlogo as RasterBrick
unsuperClass

Unsupervised Classification
validateMap

Map accuracy assessment
predict.superClass

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

Spectral Indices
predict.unsuperClass

Predict a raster map based on a unsuperClass model fit.
getMeta

Extract bandwise information from ImageMetaData
srtm

SRTM Digital Elevation Model
rescaleImage

Linear Image Rescaling
sam

Spectral Angle Mapper
saveRSTBX

Save and Read RStoolbox Classification Results