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RStoolbox (version 0.1.1)

RStoolbox: RStoolbox: A Collection of Remote Sensing Tools

Description

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.

Arguments

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 classificaton

Data Display

  • ggR: single raster layer plotting with ggplot2
  • ggRGB: efficient plotting of remote sensing imagery in RGB with ggplot2