Waterquality for ArcGIS Pro Toolbox: User's Guide

Abstract

Monitoring water quality of small inland lakes and reservoirs is a critical component of the US Army Corps of Engineers (USACE) water quality management plans. However, limited resources for traditional field-based monitoring of numerous lakes and reservoirs covering vast geographic areas often leads to reactional responses to harmful algal bloom (HAB) outbreaks. Satellite remote sensing methodologies using HAB indicators is a good low-cost option to traditional methods and has been proven to maximize and complement current field-based approaches while providing a synoptic view of water quality (Beck et al. 2016; Beck et al. 2017; Becket al. 2019; Johansen et al. 2019; Mishra et al. 2019; Stumpf and Tomlinson 2007; Wang et al. 2020; Xu et al. 2019; Reif 2011). Toassist USACE water quality management, we developed an Environmental Systems Research Institute (ESRI) ArcGIS Pro desktop software toolbox (waterquality for ArcGIS Pro) founded on the design and research established in the waterquality R software package (Johansen et al. 2019; Johansen 2020). The toolbox enables the detection, monitoring, and quantification of HAB indicators(chlorophyll-a, phycocyanin, and turbidity) using Sentinel-2 satellite imagery. Four tools are available: (1) automating the download ofSentinel-2 Level-2A imagery, (2) creating stacked image with options for cloud and non-water features masks, (3) applying water quality algorithms to generate relative estimations of one to three water quality parameters (chlorophyll-a, phycocyanin, and turbidity), and (4) creating linear regression graphs and statistics comparing in situ data (from field-based water sampling) to relative estimation data. This document serves as a users guide for the water quality for ArcGIS Pro toolbox and includes instructions on toolbox installation and descriptions of each tools inputs, outputs, and troubleshooting guidance.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2022
Accession Number
AD1180038

Entities

People

  • Christina L. Saltus
  • Molly Reif
  • Richard A. Johansen

Organizations

  • Engineer Research and Development Center

Tags

Communities of Interest

  • Space

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Army Corps Of Engineers
  • Computer Programming
  • Detection
  • Engineers
  • Environmental Protection
  • Geographic Regions
  • Information Systems
  • Operating Systems
  • Optical Properties
  • Python Programming Language
  • Regression Analysis
  • Remote Sensing
  • Satellite Imaging
  • Short-Wavelength Infrared Radiation
  • Standards
  • Statistics

Fields of Study

  • Environmental science

Readers

  • Distributed Systems and Data Platform Development
  • Military History
  • Wetland-Land-Environmental Management.

Technology Areas

  • Space