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spectralR: Obtain and Visualize Spectral Reflectance Data for Earth Surface Polygons

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
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:

Reference manual: spectralR.pdf

Downloads:

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

Linking:

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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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