cran-comments.md

In bleutner/RStoolbox: Remote Sensing Data Analysis

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.)

bleutner/RStoolbox documentation built on April 28, 2024, 8:27 a.m.