Item talk:Q300651
From geokb
{
"USGS Publications Warehouse": { "@context": "https://schema.org", "@type": "Article", "additionalType": "Journal Article", "name": "Semiautomated process for enumeration of fishes from recreational-grade side-scan sonar imagery", "identifier": [ { "@type": "PropertyValue", "propertyID": "USGS Publications Warehouse IndexID", "value": "70212124", "url": "https://pubs.usgs.gov/publication/70212124" }, { "@type": "PropertyValue", "propertyID": "USGS Publications Warehouse Internal ID", "value": 70212124 }, { "@type": "PropertyValue", "propertyID": "DOI", "value": "10.1002/nafm.10373", "url": "https://doi.org/10.1002/nafm.10373" } ], "journal": { "@type": "Periodical", "name": "North American Journal of Fisheries Management", "volumeNumber": "40", "issueNumber": "1" }, "inLanguage": "en", "isPartOf": [ { "@type": "CreativeWorkSeries", "name": "North American Journal of Fisheries Management" } ], "datePublished": "2020", "dateModified": "2020-08-14", "abstract": "The use of hydroacoustic techniques is increasing as scientists search for less invasive ways to monitor fish populations, and using recreational side\u2010scan sonar (SSS) imagery for monitoring has become more common in aquatic resource management over the last 15 years due in part to its low cost and user\u2010friendly interface. The time\u2010consuming nature of manually counting fish targets has limited the use of the data that is collected by these systems in research or management contexts. To reduce the time and effort that is required to enumerate acoustic targets that are presumed to be fish, we developed a semiautomated process that rapidly quantifies targets from recreational SSS imagery by using an open\u2010source image processing software. Perceived fish targets were enumerated using a set of macroinstructions that performed similarly to manual enumeration by three experienced assessors. This method reduced variation that arises from individual assessors and eliminated the prohibitive time constraints that are associated with manual processing. Herein, we describe how our semiautomated process could be used in fisheries management contexts after further research and development of sampling methods. 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"Organization", "name": "Columbia Environmental Research Center", "url": "https://www.usgs.gov/centers/columbia-environmental-research-center" } ] }, { "@type": "Person", "name": "Mueller, Andrew T.", "givenName": "Andrew T.", "familyName": "Mueller", "identifier": { "@type": "PropertyValue", "propertyID": "ORCID", "value": "0000-0001-8566-8023", "url": "https://orcid.org/0000-0001-8566-8023" }, "affiliation": [ { "@type": "Organization", "name": "Columbia Environmental Research Center", "url": "https://www.usgs.gov/centers/columbia-environmental-research-center" } ] }, { "@type": "Person", "name": "Faulkner, Jacob", "givenName": "Jacob", "familyName": "Faulkner", "identifier": { "@type": "PropertyValue", "propertyID": "ORCID", "value": "0000-0002-8109-9107", "url": "https://orcid.org/0000-0002-8109-9107" }, "affiliation": [ { "@type": "Organization", "name": "Columbia Environmental Research Center", "url": "https://www.usgs.gov/centers/columbia-environmental-research-center" } ] }, { 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