An enhanced and expanded Toolbox for River Velocimetry using Images from Aircraft (TRiVIA)
Detailed, accurate information on flow patterns in river channels can improve understanding of habitat conditions, geomorphic processes, and potential hazards to help inform water management. Data describing flow patterns in river channels can be obtained efficiently via image‐based techniques that...
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Veröffentlicht in: | River research and applications 2024-10, Vol.40 (8), p.1602-1616 |
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description | Detailed, accurate information on flow patterns in river channels can improve understanding of habitat conditions, geomorphic processes, and potential hazards to help inform water management. Data describing flow patterns in river channels can be obtained efficiently via image‐based techniques that have become more widely used in recent years as the number of platforms for acquiring images has expanded and the number of algorithms for inferring velocities has grown. Image‐based techniques have been incorporated into various software packages, including the Toolbox for River Velocimetry using Images from Aircraft (TRiVIA). TRiVIA is a freely available, standalone computer program that provides a comprehensive workflow for performing particle image velocimetry (PIV)‐based analyses within a graphical interface. This paper summarizes major enhancements incorporated into the latest release of TRiVIA, version 2.1. For example, a new Tool for Input Parameter Selection (TIPS) provides guidance for specifying key inputs to the PIV algorithm by allowing users to explore relationships between flow velocity, pixel size, output vector spacing, and frame interval. Improved visualization capabilities include the ability to create streamlines and display PIV output on an interactive web map. The program now provides greater flexibility for importing field data in various formats and selecting which observations to use for accuracy assessment. The most substantial additions to TRiVIA 2.1 are the ability to integrate bathymetric information with image‐derived velocity estimates to calculate river discharge and to use images acquired from moving aircraft to efficiently map long segments of large rivers to support habitat assessment, contaminant transport studies, and a range of other applications. |
doi_str_mv | 10.1002/rra.4333 |
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Data describing flow patterns in river channels can be obtained efficiently via image‐based techniques that have become more widely used in recent years as the number of platforms for acquiring images has expanded and the number of algorithms for inferring velocities has grown. Image‐based techniques have been incorporated into various software packages, including the Toolbox for River Velocimetry using Images from Aircraft (TRiVIA). TRiVIA is a freely available, standalone computer program that provides a comprehensive workflow for performing particle image velocimetry (PIV)‐based analyses within a graphical interface. This paper summarizes major enhancements incorporated into the latest release of TRiVIA, version 2.1. For example, a new Tool for Input Parameter Selection (TIPS) provides guidance for specifying key inputs to the PIV algorithm by allowing users to explore relationships between flow velocity, pixel size, output vector spacing, and frame interval. Improved visualization capabilities include the ability to create streamlines and display PIV output on an interactive web map. The program now provides greater flexibility for importing field data in various formats and selecting which observations to use for accuracy assessment. 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This article is a U.S. Government work and is in the public domain in the USA. published by John Wiley & Sons Ltd.</rights><rights>Published 2024. This article is a U.S. Government work and is in the public domain in the USA.River Research and Applicationspublished by John Wiley & Sons Ltd. This article is published under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). 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Data describing flow patterns in river channels can be obtained efficiently via image‐based techniques that have become more widely used in recent years as the number of platforms for acquiring images has expanded and the number of algorithms for inferring velocities has grown. Image‐based techniques have been incorporated into various software packages, including the Toolbox for River Velocimetry using Images from Aircraft (TRiVIA). TRiVIA is a freely available, standalone computer program that provides a comprehensive workflow for performing particle image velocimetry (PIV)‐based analyses within a graphical interface. This paper summarizes major enhancements incorporated into the latest release of TRiVIA, version 2.1. For example, a new Tool for Input Parameter Selection (TIPS) provides guidance for specifying key inputs to the PIV algorithm by allowing users to explore relationships between flow velocity, pixel size, output vector spacing, and frame interval. 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Kinzel, Paul J.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c2183-5a9344238c07b17f70c52016352ffc973b5801d25e8d09a69739e692c96364ea3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>aerial images</topic><topic>Aircraft</topic><topic>Aircraft hazards</topic><topic>Aircraft performance</topic><topic>Algorithms</topic><topic>Channels</topic><topic>Computer software</topic><topic>Contaminants</topic><topic>Data acquisition</topic><topic>Digital mapping</topic><topic>discharge calculation</topic><topic>Flow distribution</topic><topic>Flow pattern</topic><topic>Flow velocity</topic><topic>Geomorphology</topic><topic>Habitats</topic><topic>Image acquisition</topic><topic>Image enhancement</topic><topic>Information management</topic><topic>Information processing</topic><topic>moving aircraft river velocimetry</topic><topic>Particle image velocimetry</topic><topic>particle image velocimetry (PIV)</topic><topic>Pollution transport</topic><topic>remote sensing</topic><topic>River discharge</topic><topic>River flow</topic><topic>Rivers</topic><topic>software</topic><topic>Velocity</topic><topic>visualization</topic><topic>Water discharge</topic><topic>Water management</topic><topic>Workflow</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Legleiter, Carl J.</creatorcontrib><creatorcontrib>Kinzel, Paul J.</creatorcontrib><collection>Wiley-Blackwell Open Access Titles</collection><collection>Wiley Free Content</collection><collection>CrossRef</collection><collection>Aqualine</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Environment Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 1: Biological Sciences & Living Resources</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Environment Abstracts</collection><jtitle>River research and applications</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Legleiter, Carl J.</au><au>Kinzel, Paul J.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>An enhanced and expanded Toolbox for River Velocimetry using Images from Aircraft (TRiVIA)</atitle><jtitle>River research and applications</jtitle><date>2024-10</date><risdate>2024</risdate><volume>40</volume><issue>8</issue><spage>1602</spage><epage>1616</epage><pages>1602-1616</pages><issn>1535-1459</issn><eissn>1535-1467</eissn><abstract>Detailed, accurate information on flow patterns in river channels can improve understanding of habitat conditions, geomorphic processes, and potential hazards to help inform water management. Data describing flow patterns in river channels can be obtained efficiently via image‐based techniques that have become more widely used in recent years as the number of platforms for acquiring images has expanded and the number of algorithms for inferring velocities has grown. Image‐based techniques have been incorporated into various software packages, including the Toolbox for River Velocimetry using Images from Aircraft (TRiVIA). TRiVIA is a freely available, standalone computer program that provides a comprehensive workflow for performing particle image velocimetry (PIV)‐based analyses within a graphical interface. This paper summarizes major enhancements incorporated into the latest release of TRiVIA, version 2.1. For example, a new Tool for Input Parameter Selection (TIPS) provides guidance for specifying key inputs to the PIV algorithm by allowing users to explore relationships between flow velocity, pixel size, output vector spacing, and frame interval. Improved visualization capabilities include the ability to create streamlines and display PIV output on an interactive web map. The program now provides greater flexibility for importing field data in various formats and selecting which observations to use for accuracy assessment. The most substantial additions to TRiVIA 2.1 are the ability to integrate bathymetric information with image‐derived velocity estimates to calculate river discharge and to use images acquired from moving aircraft to efficiently map long segments of large rivers to support habitat assessment, contaminant transport studies, and a range of other applications.</abstract><cop>Chichester, UK</cop><pub>John Wiley & Sons, Ltd</pub><doi>10.1002/rra.4333</doi><tpages>15</tpages><orcidid>https://orcid.org/0000-0002-6076-9730</orcidid><orcidid>https://orcid.org/0000-0003-0940-8013</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | aerial images Aircraft Aircraft hazards Aircraft performance Algorithms Channels Computer software Contaminants Data acquisition Digital mapping discharge calculation Flow distribution Flow pattern Flow velocity Geomorphology Habitats Image acquisition Image enhancement Information management Information processing moving aircraft river velocimetry Particle image velocimetry particle image velocimetry (PIV) Pollution transport remote sensing River discharge River flow Rivers software Velocity visualization Water discharge Water management Workflow |
title | An enhanced and expanded Toolbox for River Velocimetry using Images from Aircraft (TRiVIA) |
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