RStoolbox 0.1.5

Changes:

• If the bandSet argument in radCor() is used to process only a subset of bands it will no longer return unprocessed bands along with processed bands. Instead only processed bands are returned.
• By default superClass() will now use dataType = 'INT2S' for classification maps to avoid issues with raster NA handling in INT1U
• Allow reading and importing from Landsat MSS MTL files with readMeta() and stackMeta() (@aszeitz, #7)

Fixes:

• readMeta() time-stamp conversion now correctly set to GMT time (@mraraju, #12)
• radCor() caused R to crash if bandSet was a single band
• fix single RasterLayer capability for superClass()
• spectralIndices() now calculates all documented indices if specified to do so (@mej1d1, #6)
• unsuperClass() predicted map now handles NAs properly
• pifMatch() did not return adjusted image (@tmb3006, #13)

Deprecated:

• argument norm was dropped from rasterPCA(), because it was effectively a duplicate of the standardized pca (spca) argument in the same function.

RStoolbox 0.1.4

New:

• new function validateMap() for assessing map accuracy separately from model fitting, e.g. after majority or MMU filtering
• new function getValidation() to extract specific validation results of superClass objects (proposed by James Duffy)
• new spectral index NDVIc (proposed by Jeff Evans)
• new argument scaleFactor for spectralIndices() for calculation of EVI/EVI2 based on scaled reflectance values.
• implemented dark object subtraction radCor(..,method='sdos') for Landsat 8 data (@BayAludra, #4)

Changes:

• superClass based on polygons now considers only pixels which have their center coordinate within a polygon
• rasterCVA now returns angles from 0 to 360° instead of 0:45 by quadrant (reported by Martin Wegmann)
• improved dark object DN estimation based on maximum slope of the histogram in estimateHaze (@BayAludra, #4)

Fixes:

• superClass failed when neither valData or trainPartition was specified. regression introduced in 0.1.3 (reported by Anna Stephani)
• spectralIndices valid value range of EVI/EVI2 now [-1,1]
• radCor returned smallest integer instead of NA for some NA pixels
• fix 'sdos' for non-contiguous bands in radCor (@BayAludra, #4)

RStoolbox 0.1.3

New:

• new logical argument predict for superClass. Disables prediction of full raster (proper validation is still conducted, but the prediction is done only for sample pixels).
• new generic predict() function for superClass objects. Useful to separate model training and prediction.
• new example data set (landcover training polygons) for lsat example data under /extdata/trainingPolygons.rds

Fixes:

• fix histMatch for single layers (affected also 'ihs' pan-sharpening)
• fix superClass validation sampling for factors (character based factor responses could lead to wrong factor conversions and wrong validation results)
• improved handling of of training polygons with overlaps and shared borders in superClass
• improved checks and error messages for insufficient training polygons

RStoolbox 0.1.2

New functions:

New custom model for maximum likelihood classification (model = "mlc") available for superClass()

Fixes:

• Restrict calculation of EVI/EVI2 to reflectance data (#3)
• Enforce valid value ranges in radCor: radiance: [0,+Inf], reflectance: [0,1]. Includes a new argument clamp to turn this on or off (on by default).

RStoolbox 0.1.1

CRAN fixes:

• added kernlab to suggested packages to allow all \donttest{} examples to be tested with
  R CMD check --run-donttest
• bugfix in internal function classQA (UBSAN: out of range NA for integer vector)

RStoolbox 0.1.0

This is the initial release to CRAN. From now on function and argument names should remain mostly stable.
This release ships with the following functions:

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 with ggplot2

• fortify.raster: data.frame from raster (subsampled) for plotting
• ggR: single raster layer plotting with ggplot2
• ggRGB: efficient plotting of remote sensing imagery in RGB with ggplot2

Example Data Sets

• rlogo: the r logo as raster brick
• lsat: subset of a Landsat 5 TM scene
• srtm: SRTM DEM for lsat scene