Obtain and Visualize Spectral Reflectance Data for Earth Surface Polygons R package spectralR version 0.1.4 CRAN Task View: Agriculture (https://CRAN.R-project.org/view=Agriculture) Tools for obtaining, processing, and visualizing spectral reflectance data for the user-defined land or water surface classes for visual exploring in which wavelength the classes differ. Input should be a shapefile with polygons of surface classes (it might be different habitat types, crops, vegetation, etc.). The Sentinel-2 L2A satellite mission optical bands pixel data are obtained through the Google Earth Engine service (<https://earthengine.google.com/>) and used as a source of spectral data. Software Depends: R (>= 4.1.0) Imports: rgee (>= 1.1.3), geojsonio (>= 0.9.4), sf (>= 1.0-7), dplyr (>= 1.0.9), ggplot2 (>= 3.3.5), reshape2 (>= 1.4.0), rlang (>= 1.0.0), tibble (>= 3.1.0), tidyr (>= 1.2.0) Suggests: covr, tinytest (>= 1.3.0) Oleh Prylutskyi <oleh.prylutskyi@gmail.com> Comprehensive R Archive Network (CRAN) Oleh Prylutskyi [aut, cre], Dariia Shyriaieva [ctb], Vladimir Mikryukov [ctb] GPL-3 2025-10-14 application/tgz https://CRAN.R-project.org/package=spectralR doi:10.32614/CRAN.package.spectralR