Item talk:Q239879
From geokb
{
"USGS Publications Warehouse": { "@context": "https://schema.org", "@type": "Article", "additionalType": "Journal Article", "name": "UAS-SfM for coastal research: Geomorphic feature extraction and land cover classification from high-resolution elevation and optical imagery", "identifier": [ { "@type": "PropertyValue", "propertyID": "USGS Publications Warehouse IndexID", "value": "70191276", "url": "https://pubs.usgs.gov/publication/70191276" }, { "@type": "PropertyValue", "propertyID": "USGS Publications Warehouse Internal ID", "value": 70191276 }, { "@type": "PropertyValue", "propertyID": "DOI", "value": "10.3390/rs9101020", "url": "https://doi.org/10.3390/rs9101020" } ], "journal": { "@type": "Periodical", "name": "Remote Sensing", "volumeNumber": "9", "issueNumber": "10" }, "inLanguage": "en", "isPartOf": [ { "@type": "CreativeWorkSeries", "name": "Remote Sensing" } ], "datePublished": "2017", "dateModified": "2017-10-03", "abstract": "The vulnerability of coastal systems to hazards such as storms and sea-level rise is typically characterized using a combination of ground and manned airborne systems that have limited spatial or temporal scales. Structure-from-motion (SfM) photogrammetry applied to imagery acquired by unmanned aerial systems (UAS) offers a rapid and inexpensive means to produce high-resolution topographic and visual reflectance datasets that rival existing lidar and imagery standards. Here, we use SfM to produce an elevation point cloud, an orthomosaic, and a digital elevation model (DEM) from data collected by UAS at a beach and wetland site in Massachusetts, USA. We apply existing methods to (a) determine the position of shorelines and foredunes using a feature extraction routine developed for lidar point clouds and (b) map land cover from the rasterized surfaces using a supervised classification routine. In both analyses, we experimentally vary the input datasets to understand the benefits and limitations of UAS-SfM for coastal vulnerability assessment. We find that (a) geomorphic features are extracted from the SfM point cloud with near-continuous coverage and sub-meter precision, better than was possible from a recent lidar dataset covering the same area; and (b) land cover classification is greatly improved by including topographic data with visual reflectance, but changes to resolution (when <50 cm) have little influence on the classification accuracy.", "description": "20 p.", "publisher": { "@type": "Organization", "name": "MDPI" }, "author": [ { "@type": "Person", "name": "Lentz, Erika elentz@usgs.gov", "givenName": "Erika", "familyName": "Lentz", "email": "elentz@usgs.gov", "identifier": { "@type": "PropertyValue", "propertyID": "ORCID", "value": "0000-0002-0621-8954", "url": "https://orcid.org/0000-0002-0621-8954" }, "affiliation": [ { "@type": "Organization", "name": "Woods Hole Coastal and Marine Science Center", "url": "https://www.usgs.gov/centers/woods-hole-coastal-and-marine-science-center" } ] }, { "@type": "Person", "name": "Thieler, E. Robert rthieler@usgs.gov", "givenName": "E. Robert", "familyName": "Thieler", "email": "rthieler@usgs.gov", "identifier": { "@type": "PropertyValue", "propertyID": "ORCID", "value": "0000-0003-4311-9717", "url": "https://orcid.org/0000-0003-4311-9717" }, "affiliation": [ { "@type": "Organization", "name": "Woods Hole Coastal and Marine Science Center", "url": "https://www.usgs.gov/centers/woods-hole-coastal-and-marine-science-center" } ] }, { "@type": "Person", "name": "Farris, Amy S. afarris@usgs.gov", "givenName": "Amy S.", "familyName": "Farris", "email": "afarris@usgs.gov", "identifier": { "@type": "PropertyValue", "propertyID": "ORCID", "value": "0000-0002-4668-7261", "url": "https://orcid.org/0000-0002-4668-7261" }, "affiliation": [ { "@type": "Organization", "name": "Woods Hole Coastal and Marine Science Center", "url": "https://www.usgs.gov/centers/woods-hole-coastal-and-marine-science-center" } ] }, { "@type": "Person", "name": "Sturdivant, Emily J. esturdivant@usgs.gov", "givenName": "Emily J.", "familyName": "Sturdivant", "email": "esturdivant@usgs.gov", "identifier": { "@type": "PropertyValue", "propertyID": "ORCID", "value": "0000-0002-2420-3115", "url": "https://orcid.org/0000-0002-2420-3115" }, "affiliation": [ { "@type": "Organization", "name": "Woods Hole Coastal and Marine Science Center", "url": "https://www.usgs.gov/centers/woods-hole-coastal-and-marine-science-center" } ] }, { "@type": "Person", "name": "Weber, Kathryn M. kweber@usgs.gov", "givenName": "Kathryn M.", "familyName": "Weber", "email": "kweber@usgs.gov", "identifier": { "@type": "PropertyValue", "propertyID": "ORCID", "value": "0000-0002-5498-7117", "url": "https://orcid.org/0000-0002-5498-7117" }, "affiliation": [ { "@type": "Organization", "name": "Woods Hole Coastal and Marine Science Center", "url": "https://www.usgs.gov/centers/woods-hole-coastal-and-marine-science-center" } ] }, { "@type": "Person", "name": "Remsen, David P.", "givenName": "David P.", "familyName": "Remsen" }, { "@type": "Person", "name": 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