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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 |
Reference manual: | spectralR.pdf |
Package source: | spectralR_0.1.3.tar.gz |
Windows binaries: | r-devel: spectralR_0.1.3.zip, r-release: spectralR_0.1.3.zip, r-oldrel: spectralR_0.1.3.zip |
macOS binaries: | r-release (arm64): spectralR_0.1.3.tgz, r-oldrel (arm64): spectralR_0.1.3.tgz, r-release (x86_64): spectralR_0.1.3.tgz, r-oldrel (x86_64): spectralR_0.1.3.tgz |
Old sources: | spectralR archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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