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.


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waterquality

The goal of waterquality is to convert satellite-reflectance imagery to a host of pre-defined water quality algorithms designed for the detection of cholorophyll-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 sensors.

Installation

You can install waterquality from github with:

devtools::install_github("RAJohansen/waterquality")

Example

The main function in this package is wq_calc():

library(waterquality)
library(raster)
#> Loading required package: sp
s2 = stack(system.file("raster/S2_Harsha.tif", package = "waterquality"))
s2_two_alg = wq_calc(s2, alg = c("TurbChip09NIROverGreen", "Be16FLHGreenRedNIR"), sat = "sentinel2")
#> Be16FLHGreenRedNIR calculated!
#> TurbChip09NIROverGreen calculated!
plot(s2_two_alg)

To learn more read the "Introduction to the waterquality package" vignette.

Package Contributions

We encourage users to submit issues and enhancement requests so we may continue to improve our package.

Futhermore, if you have a water quality algorithm that was not on our list, and you would like for it to be included in our package please email me at [email protected].

News

Reference manual

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install.packages("waterquality")

0.2.2 by Richard Johansen, 4 months ago


https://github.com/RAJohansen/waterquality


Report a bug at https://github.com/RAJohansen/waterquality/issues


Browse source code at https://github.com/cran/waterquality


Authors: Richard Johansen [aut, cre] , Jakub Nowosad [aut] , Molly Reif [aut] , Erich Emery [aut] , U.S. Army Corps of Engineers [fnd]


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports methods, raster, rgdal

Suggests testthat, knitr, tibble, rmarkdown, covr


See at CRAN