waterquality: an open-source R package for the detection and quantification of cyanobacterial harmful algal blooms and water quality

Abstract

Satellite monitoring of cyanobacterial harmful algal blooms in small freshwater lakes and reservoirs remains challenging. This is partly due to the configurations and resolutions of commonly utilized satellite imagers, which are traditionally designed for large terrestrial applications. The purpose of this report is to provide an efficient methodology for the detection and quantification of harmful algal bloom indicators via remote sensing imagery utilizing the newly developed open-source R package waterquality. To accomplish this goal, this report uses Harsha Lake as a case study to demonstrate the use of water quality proxies (chlorophyll-a, phycocyanin, and turbidity) for the evaluation of inland lake and reservoir water quality. This package and associated manuscript were designed to assist researchers and water managers by establishing a flexible and user-friendly workflow to improve water quality monitoring.

Cite
Johansen R., Reif M., Emery E., Nowosad J., Beck R., Xu M., Liu H., waterquality: An Open-Source R Package for the Detection and Quantification of Cyanobacterial Harmful Algal Blooms and Water Quality. USACE ERDC/EL TR-19-20; DOI: 10.21079/11681/35053
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