Item talk:Q159951
From geokb
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meta: status_code: 200 timestamp: '2023-10-02T16:16:24.278023' url: https://www.usgs.gov/staff-profiles/leah-e-staub profile: abstracts: [] affiliations: [] education: [] email: lstaub@usgs.gov expertise_terms: - Sediment Fingerprinting - ArcMap - remote sensing - ArcPro - QGIS - R - GEE honors: [] intro_statements: - Leah primarily works in the MD-DE-DC Water Science Center's Sediment Lab, processing both Fluvial and Source samples for Sediment Fingerprinting analysis. She has also surveyed stream cross sections with total station, provided map products using R, ArcMap, QGIS, and GEE, and assisted with Science Base data releases. name: Leah E. Staub name_qualifier: null orcid: 0000-0002-1460-6084 organization_link: https://www.usgs.gov/centers/md-de-dc-water organization_name: Maryland-Delaware-D.C. Water Science Center personal_statement: 'EducationB.S. in Geography & Environmental Science from University of Maryland, Baltimore County, 2020GIScience Certification from University of Maryland, Baltimore County, 2020PublicationsCashman, M.J., Brosnahan, S.M., Caldwell, S.H.,Staub, L.E., DeWitt, J., Young, J., Duda, J., and Griese, A.J., 2020, Low-altitude aerial imagery from unmanned aerial systems (UAS) at select locations over the Potomac River, October 2019: U.S. Geological Survey data release, https://doi.org/10.5066/Q7DP970E.Honors & AwardsUSGS STAR Award 2020' professional_experience: [] title: Hydrologic Field Assistant
