News

RStoolbox 0.2.2

New:

• added tasseledCap coefficients for Quickbird, Spot5 and RapidEye

Changes:

• readEE 'Date' column is now returned as POSIXct instead of POSIXlt

Fixes:

• corrected tasseledCap coefficient for Landsat 5 TM (#40, reported by @philipperufin)

RStoolbox 0.2.1

Fixes:

• fixed non-portable c++ headers

RStoolbox 0.2.0

New:

• function mesma for spectral unmixing (#33, provided by Jakob Schwalb-Willmann)

Fixes:

• improved NA handling and faster implementation of mlc classifier (#32, pull request by Neal Fultz)
• adapt to upcoming caret version (new constraint caret >= 6.0-79)

RStoolbox 0.1.10

Fixes:

• fix tests for upcoming raster version

RStoolbox 0.1.9

Fixes:

• adapt to new caret version
• fix readEE for new EarthExplorer formats
• corrected sign of greenness tasseledCap coefficient for Landsat5 TM band 1 (reported by Thomas Day)
• adapt readMeta and stackMeta to new Landsat collection 1 metadata

RStoolbox 0.1.8

New:

• spectralIndices() can now apply a mask internally, e.g. to exclude cloud pixels. New arguments are: maskLayer and maskValue (suggested by Andrea Hess).
• added spectral index GNDWI

Fixes:

• update readEE() to deal with new EarthExplorer export columns (reported by Christian Bauer)

RStoolbox 0.1.7

New:

• spectralIndices() has a new argument skipRefCheck, which skips the heuristic check for reflectance-like values [0,1] which is run if EVI/EVI2 are requested. This can be usefull if clouds with reflectance > 1.5 are part of the image.
• superClass() now returns the geometries which were used for validation, e.g. polygons (under $validation$geometry) and also the exact samples taken for validation including cell number and coordinates ($validation$validationSamples)
• added example data-set for spectral library see ?readSLI
• increased overall test coverage

Changes:

• ESUN lookup tables for radCor() are adjusted to match current USGS reccomendations from: https://landsat.usgs.gov/esun
• spectralIndices() swir wavelength ranges are now defined consistently and correctly. Bands formerly provided as swir1 (version <1.7.0) should now (>=1.7.0) be provided as swir2 and former swir2 as swir3 respectively (see docu). The actual calculations were correct, but the naming was off.

Fixes:

• fix ggR() and ggRGB() in annotation mode (default). No image was drawn and excessive memory allocation requested (= RStudio crash) (reported by Christian Walther)
• fix spectralIndices() documentation for NDWI. Formula was based on McFeeters1996 but attributed to Gao1996. Now there is NDWI (McFeeters) and NDWI2 (Gao) (reported by Christian Bauer)
• estimateHaze() now ensures correct histogram order, which could be off when raster had to read from disk (reported by Xavier Bailleau).
• readMeta() now makes concise bandnames also for Landsat Collection MTL files.
• fix radCor() for Landsat 4 TM (reported by Thomas Day)
• classifyQA() confidence layer for type='water' now correctly returns only confidence levels in [1,3]
• enable reading ENVI plot files in ASCII mode with readSLI()

Deprecated:

• spectralIndices() index LSWI has been deprecated, as it is identical with the now available NDWI2.

RStoolbox 0.1.6

Fixes:

• fix import issue: replace deprecated export from caret

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:

• fix 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 (validation is still conducted).
• 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 factors 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: New model for superClass: maximum likelihood classification (model = "mlc")

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

Added kernlab to suggested packages to be able to test \donttest{} examples

RStoolbox 0.1.0

Initial release to CRAN (2015-09-05) with the following functions:

• classifyQA()
• cloudMask()
• cloudShadowMask()
• coregisterImages()
• decodeQA()
• encodeQA()
• estimateHaze()
• fortify.raster()
• fCover()
• getMeta()
• ggR()
• ggRGB()
• histMatch()
• ImageMetaData()
• normImage()
• panSharpen()
• pifMatch()
• radCor()
• rasterCVA()
• rasterEntropy()
• rasterPCA()
• readEE()
• readMeta()
• readRSTBX()
• readSLI()
• rescaleImage()
• rsOpts()
• sam()
• saveRSTBX()
• spectralIndices()
• stackMeta()
• superClass()
• tasseledCap()
• topCor()
• unsuperClass()
• writeSLI()

Included example data sets:

• data(srtm)
• data(lsat)
• data(rlogo)

Reference manual