waterquality: Satellite Derived Water Quality Detection Algorithms

The main purpose of waterquality is to quickly and easily convert satellite-based reflectance imagery into one or many well-known water quality algorithms designed for the detection of harmful algal blooms or the following pigment proxies: chlorophyll-a, blue-green algae (phycocyanin), and turbidity. Johansen et al. (2019) <doi:10.21079/11681/35053>.

Version: 0.2.6
Depends: R (≥ 3.4.0)
Imports: methods, raster, rgdal, purrr, caret, vctrs, magrittr, dplyr, pingr
Suggests: testthat, knitr, tibble, rmarkdown, covr, tmap, tmaptools, OpenStreetMap, sf
Published: 2020-10-21
Author: Richard Johansen ORCID iD [aut, cre], Jakub Nowosad ORCID iD [aut], Molly Reif ORCID iD [aut], Erich Emery [aut], U.S. Army Corps of Engineers [fnd]
Maintainer: Richard Johansen <richard.a.johansen at erdc.dren.mil>
BugReports: https://github.com/RAJohansen/waterquality/issues
License: MIT + file LICENSE
URL: https://github.com/RAJohansen/waterquality
NeedsCompilation: no
Citation: waterquality citation info
Materials: README
CRAN checks: waterquality results


Reference manual: waterquality.pdf
Vignettes: Introduction to the waterquality package
Package source: waterquality_0.2.6.tar.gz
Windows binaries: r-devel: waterquality_0.2.6.zip, r-release: waterquality_0.2.6.zip, r-oldrel: waterquality_0.2.6.zip
macOS binaries: r-release: waterquality_0.2.6.tgz, r-oldrel: waterquality_0.2.6.tgz
Old sources: waterquality archive


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