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)
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.
You can install waterquality from github with:
The main function in this package is
library(waterquality)library(raster)#> Loading required package: sps2 = 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.
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].