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.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2019
Accession Number
AD1088696

Entities

People

  • Erich Emery
  • Hongxing Liu
  • Jakub Nowosad
  • Min Xu
  • Molly Reif
  • Richard A. Johansen
  • Richard Beck

Tags

Communities of Interest

  • Space

DTIC Thesaurus Topics

  • Case Studies
  • Cyanobacteria
  • Detection
  • Detectors
  • Environmental Monitoring
  • Environmental Protection
  • Geography
  • Great Lakes
  • Information Science
  • Monitoring
  • Optical Properties
  • Predictive Modeling
  • Remote Sensing
  • Satellite Imaging
  • United States
  • User Friendly
  • Water Quality

Fields of Study

  • Environmental science

Readers

  • Computational Modeling and Simulation
  • Environmental Engineering
  • Marine Ecotoxicology

Technology Areas

  • Space