Item talk:Q159951

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usgs_staff_profile:

 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