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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 available 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

2,552

Version

0.4.0

License

GPL (>= 3)

Issues

Pull Requests

Stars

Forks

Maintainer

Konstantin Mueller

Last Published

January 17th, 2024

Functions in RStoolbox (0.4.0)

panSharpen

Pan Sharpen Imagery / Image Fusion
rasterEntropy

Multi-layer Pixel Entropy
readEE

Tidy import tool for EarthExplorer .csv export files
readMeta

Read Landsat MTL metadata files
rasterCVA

Change Vector Analysis
radCor

Radiometric Calibration and Correction
sam

Spectral Angle Mapper
%>%

Pipe operator
stackMeta

Import separate Landsat files into single stack
pifMatch

Pseudo-Invariant Features based Image Matching
spectralIndices

Spectral Indices
rasterPCA

Principal Component Analysis for Rasters
superClass

Supervised Classification
rlogo

Rlogo as SpatRaster
rsOpts

Set global options for RStoolbox
writeSLI

Write ENVI spectral libraries
saveRSTBX

Save and Read RStoolbox Classification Results
predict.unsuperClass

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

Multiple Endmember Spectral Mixture Analysis (Spectral Unmixing)
tasseledCap

Tasseled Cap Transformation
srtm

SRTM Digital Elevation Model
validateMap

Map accuracy assessment
rescaleImage

Linear Image Rescaling
topCor

Topographic Illumination Correction
readSLI

Read ENVI spectral libraries
unsuperClass

Unsupervised Classification
cloudShadowMask

Cloud Shadow Masking for Flat Terrain
ImageMetaData

ImageMetaData Class
classifyQA

Classify Landsat QA bands
coregisterImages

Image to Image Co-Registration based on Mutual Information
encodeQA

Encode QA Conditions to Integers
estimateHaze

Estimate Image Haze for Dark Object Subtraction (DOS)
fCover

Fractional Cover Analysis
decodeQA

Decode QA flags to bit-words
cloudMask

Simple Cloud Detection
RStoolbox

RStoolbox: A Collection of Remote Sensing Tools
oneHotEncode

One-hot encode a raster or vector
ggRGB

Create ggplot2 Raster Plots with RGB from 3 RasterLayers
getValidation

Extract validation results from superClass objects
lsat

Landsat 5TM Example Data
normImage

Normalize Raster Images: Center and Scale
ggR

Plot RasterLayers in ggplot with greyscale
fortifySpatRaster

Fortify method for classes from the terra package.
histMatch

Image to Image Contrast Matching
getMeta

Extract bandwise information from ImageMetaData