waterquality: Satellite Derived Water Quality Detection Algorithms

The goal of 'waterquality' is to convert satellite-reflectance imagery to a host of pre-defined water quality algorithms designed for the detection of chlorophyll-a, blue-green algae (Phycocyanin), and turbidity. This package is able to process the following sensor configurations: WorldView-2, Sentinel-2, Landsat-8, MODIS, and MERIS.

Version: 0.2.2
Depends: R (≥ 3.4.0)
Imports: methods, raster, rgdal
Suggests: testthat, knitr, tibble, rmarkdown, covr
Published: 2018-12-18
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.johansen at uc.edu>
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_0.2.2.tar.gz
Windows binaries: r-devel: waterquality_0.2.2.zip, r-release: waterquality_0.2.2.zip, r-oldrel: waterquality_0.2.2.zip
OS X binaries: r-release: waterquality_0.2.2.tgz, r-oldrel: waterquality_0.2.2.tgz


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