RStoolbox: RStoolbox: A Collection of Remote Sensing Tools

RStoolboxR Documentation

RStoolbox: A Collection of Remote Sensing Tools


The RStoolbox package provides a set of functions which simplify performing standard remote sensing tasks in R. Most functions have built-in parallel support. All that is required is to run beginCluster beforehand.

Data Import and Export

  • readMeta: import Landsat metadata from MTL or XML files

  • stackMeta: load Landsat bands based on metadata

  • readSLI & writeSLI: read and write ENVI spectral libraries

  • saveRSTBX & readRSTBX: save and re-import RStoolbox classification objects (model and map)

  • readEE: import and tidy EarthExplorer search results

Data Pre-Processing

  • radCor: radiometric conversions and corrections. Primarily, yet not exclusively, intended for Landsat data processing. DN to radiance to reflectance conversion as well as DOS approaches

  • topCor: topographic illumination correction

  • cloudMask & cloudShadowMask: mask clouds and cloud shadows in Landsat or other imagery which comes with a thermal band

  • classifyQA: extract layers from Landsat 8 QA bands, e.g. cloud confidence

  • rescaleImage: rescale image to match min/max from another image or a specified min/max range

  • normImage: normalize imagery by centering and scaling

  • histMatch: matches the histograms of two scenes

  • coregisterImages: co-register images based on mutual information

  • panSharpen: sharpen a coarse resolution image with a high resolution image (typically panchromatic)

Data Analysis

  • spectralIndices: calculate a set of predefined multispectral indices like NDVI

  • tasseledCap: tasseled cap transformation

  • sam: spectral angle mapper

  • rasterPCA: principal components transform for raster data

  • rasterCVA: change vector analysis

  • unsuperClass: unsupervised classification

  • superClass: supervised classification

  • fCover: fractional cover of coarse resolution imagery based on high resolution classification

Data Display

  • ggR: single raster layer plotting with ggplot2

  • ggRGB: efficient plotting of remote sensing imagery in RGB with ggplot2

RStoolbox documentation built on March 18, 2022, 5:37 p.m.