ORCID:
'@context': http://schema.org '@id': https://orcid.org/0000-0002-1460-6084 '@reverse': creator: - '@id': https://doi.org/10.5066/p9rjf8c8 '@type': CreativeWork identifier: '@type': PropertyValue propertyID: doi value: 10.5066/p9rjf8c8 name: Federal Stakeholder 2022 Online Survey Results for the Re-Prioritization of the USGS Federal Priority Streamgage Network - '@id': https://doi.org/10.5066/p9bry5cc '@type': CreativeWork identifier: '@type': PropertyValue propertyID: doi value: 10.5066/p9bry5cc name: Possible Cattle Access Points on Select Streams within the Smith Creek Watershed Derived from 2018 NAIP Imagery - '@id': https://doi.org/10.5066/p9yfwcn4 '@type': CreativeWork identifier: '@type': PropertyValue propertyID: doi value: 10.5066/p9yfwcn4 name: Sediment Sample Data for Identifying and Monitoring Source Sediment Fingerprints within Stony Clove Creek, Catskills, NY from 2017 to 2020 - '@id': https://doi.org/10.5066/p9cbdi3z '@type': CreativeWork identifier: '@type': PropertyValue propertyID: doi value: 10.5066/p9cbdi3z name: Possible Cattle Access Points on Steams within the USGS Showcase Watersheds Derived from 2018 and 2019 NAIP Imagery - '@id': https://doi.org/10.5066/p970eq7d '@type': CreativeWork identifier: '@type': PropertyValue propertyID: doi value: 10.5066/p970eq7d name: Low-altitude aerial imagery from unmanned aerial systems (UAS) at select locations over the Potomac River, October 2019 - '@id': https://doi.org/10.5066/f7765d7v '@type': CreativeWork identifier: '@type': PropertyValue propertyID: doi value: 10.5066/f7765d7v name: Select Attributes for NHDPlus Version 2.1 Reach Catchments and Modified Network Routed Upstream Watersheds for the Conterminous United States '@type': Person affiliation: '@id': https://doi.org/10.13039/100000201 '@type': Organization name: 'U.S. Geological Survey ' alumniOf: - '@type': Organization identifier: '@type': PropertyValue propertyID: RINGGOLD value: '12265' name: University of Maryland Baltimore - '@id': grid.420771.7 '@type': Organization name: Howard Community College familyName: Staub givenName: Leah mainEntityOfPage: https://orcid.org/0000-0002-1460-6084
USGS Staff Profile:
'@context': https://schema.org '@type': Person affiliation: [] description: - '@type': TextObject abstract: Hydrologic Field Assistant with the Maryland-Delaware-D.C. Water Science Center additionalType: short description - '@type': TextObject abstract: 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. additionalType: staff profile page introductory statement - '@type': TextObject abstract: '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' additionalType: personal statement email: lstaub@usgs.gov hasCredential: [] hasOccupation: - '@type': OrganizationalRole affiliatedOrganization: '@type': Organization name: Maryland-Delaware-D.C. Water Science Center url: https://www.usgs.gov/centers/md-de-dc-water roleName: Hydrologic Field Assistant startDate: '2024-05-12T15:17:29.542609' identifier: - '@type': PropertyValue propertyID: GeoKB value: https://geokb.wikibase.cloud/entity/Q159951 - '@type': PropertyValue propertyID: ORCID value: 0000-0002-1460-6084 jobTitle: Hydrologic Field Assistant knowsAbout: - '@type': Thing additionalType: self-claimed expertise name: Sediment Fingerprinting - '@type': Thing additionalType: self-claimed expertise name: ArcMap - '@type': Thing additionalType: self-claimed expertise name: remote sensing - '@type': Thing additionalType: self-claimed expertise name: ArcPro - '@type': Thing additionalType: self-claimed expertise name: QGIS - '@type': Thing additionalType: self-claimed expertise name: R - '@type': Thing additionalType: self-claimed expertise name: GEE memberOf: '@type': OrganizationalRole member: '@type': Organization name: U.S. Geological Survey name: staff member startDate: '2024-05-12T15:17:29.540072' name: Leah E. Staub url: https://www.usgs.gov/staff-profiles/leah-e-staub