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.
Version: 0.1.3 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) Published: 2023-08-24 DOI: 10.32614/CRAN.package.spectralR Author: Oleh Prylutskyi [aut, cre], Dariia Shyriaieva [ctb], Vladimir Mikryukov [ctb] Maintainer: Oleh Prylutskyi <oleh.prylutskyi at gmail.com> BugReports: https://github.com/olehprylutskyi/spectralR/issues License: GPL-3 URL: https://github.com/olehprylutskyi/spectralR/ NeedsCompilation: no Materials: README NEWS In views: Agriculture CRAN checks: spectralR results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=spectralR to link to this page.
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