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.
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)
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