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This release fixes test results as requested by CRAN(Ripley/10.2.2022). Plus additional functional changes and fixes.

R CMD checks

Test environments

  • Ubuntu 20.04 64bit (oldrel, release, devel)
  • winbuilder (oldrel, release, devel)
  • MacOS (release)

R CMD check results

There were no ERRORs or WARNINGs

Downstream dependencies

fieldRS OK foster OK rtsVis OK PlanetNICFI OK spatialEco OK

Changelog:

RStoolbox 0.3.0

New:
  • rasterCVA() by default no longer enforces a minimal change magnitude (can still be accomplished with the tmf argument). Also a new argument nct allows to fix this threshold to a user selected value instead of deriving it based on the median of the observed change magnitudes.
  • unsuperClass() has a new argument output which allows to return the distances to all cluster centers as raster layers, instead of the class itself
  • added spectral index kNDVI in spectralIndices() as suggested by Camps-Valls et al (2021)
  • added support for terra::SpatRast objects throughout RStoolbox (as alternative to raster objects). Note: internal functionality is still based on raster.
Changes:
  • arguments master and slave in coregisterImages() were deprecated in favor of ref and img, respectively (closes #63, suggested by @MatthiasSiewert)
Fixes:
  • rasterCVA() estimates median values now for entire rasters and not per chunk
  • cloudMask() now returns NA for non-clouds instead of NaN
  • topCor() now works for tiny rasters as well (fixes #55, reported by @latenooker)
  • rasterPCA() now correctly considers the number observations in face of missing values (fixes #79, reported by @andliszmmu)
  • superClass() now accepts different geometries for trainData and valData (fixes #73, suggested by @Silviculturalist)
  • fix readMeta() for MTL files delivered with Landsat collection data (fixes #71, reported by @jkoellin et al.)