Item talk:Q166060

Add topic
Revision as of 17:44, 23 May 2024 by Sky (talk | contribs)

ORCID:

 '@context': http://schema.org
 '@id': https://orcid.org/0000-0003-3350-1031
 '@reverse':
   creator:
   - '@id': https://doi.org/10.1016/j.geomorph.2024.109231
     '@type': CreativeWork
     identifier:
       '@type': PropertyValue
       propertyID: doi
       value: 10.1016/j.geomorph.2024.109231
     name: 'Combining terrestrial lidar with single line transects to investigate
       geomorphic change: A case study on the Upper Verde River, Arizona'
   - '@id': https://doi.org/10.1007/s10980-024-01811-5
     '@type': CreativeWork
     identifier:
       '@type': PropertyValue
       propertyID: doi
       value: 10.1007/s10980-024-01811-5
     name: 'Forest fire, thinning, and flood in wildland-urban interface: UAV and
       lidar-based estimate of natural disaster impacts'
   - '@id': https://doi.org/10.1016/j.ecolind.2023.110241
     '@type': CreativeWork
     identifier:
     - '@type': PropertyValue
       propertyID: eid
       value: 2-s2.0-85152401554
     - '@type': PropertyValue
       propertyID: doi
       value: 10.1016/j.ecolind.2023.110241
     name: Product-Specific human appropriation of net primary production in US counties
   - '@id': https://doi.org/10.1016/j.dib.2023.109530
     '@type': CreativeWork
     identifier:
     - '@type': PropertyValue
       propertyID: doi
       value: 10.1016/j.dib.2023.109530
     - '@type': PropertyValue
       propertyID: eid
       value: 2-s2.0-85169978734
     name: A dataset cataloging product-specific human appropriation of net primary
       production (HANPP) in US counties
   - '@type': CreativeWork
     name: UAV and Lidar-based Estimate of Forest Fire and Flood Impacts in Wildland-Urban
       Interface
   - '@id': https://doi.org/10.5194/egusphere-egu21-13670
     '@type': CreativeWork
     identifier:
       '@type': PropertyValue
       propertyID: doi
       value: 10.5194/egusphere-egu21-13670
     name: Opportunities for renewable energy in regenerative development
 '@type': Person
 affiliation:
   '@type': Organization
   alternateName: Grand Canyon Monitoring and Research Center
   identifier:
     '@type': PropertyValue
     propertyID: RINGGOLD
     value: '302052'
   name: US Geological Survey Southwest Biological Science Center
 alumniOf:
 - '@type': Organization
   identifier:
     '@type': PropertyValue
     propertyID: ROR
     value: https://ror.org/00h6set76
   name: Utah State University
 - '@type': Organization
   identifier:
     '@type': PropertyValue
     propertyID: ROR
     value: https://ror.org/0272j5188
   name: Northern Arizona University
 familyName: Tango
 givenName: 'Lauren '
 identifier:
   '@type': PropertyValue
   propertyID: Scopus Author ID
   value: '58181794400'
 mainEntityOfPage: https://orcid.org/0000-0003-3350-1031

USGS Staff Profile:

 '@context': https://schema.org
 '@type': Person
 affiliation: []
 description:
 - '@type': TextObject
   abstract: Geographer with the Southwest Biological Science Center
   additionalType: short description
 - '@type': TextObject
   abstract: Lauren Tango is a geographer for the USGS Southwest Biological Science
     Center (SBSC), and the Grand Canyon Monitoring and Research Center (GCMRC) in
     Flagstaff, AZ.
   additionalType: staff profile page introductory statement
 - '@type': TextObject
   abstract: My research has focused on using Terrestrial Lidar to investigate geomorphic
     changes in fluvial environments. More specifically, at the USGS I use a range
     of remote sensing technologies to monitor geomorphic and ecosystem processes
     and their connections to rivers on upland environments along the river corridor
     in Grand Canyon National Park and Federal lands throughout the Southwest. The
     purpose of this research focuses on environmental and cultural resource management.  My
     work involves many field-based methods such as using aerial and terrestrial
     lidar and photogrammetry, but also incorporates satellite imagery to quantify
     earth processes.My interest lies in better understanding ecosystems surrounding
     river systems and how management actions can protect them in the face of human
     caused disturbances and an evolving climate.The work we do in the remote sensing
     group at GCMRC is designed to be responsive to the Glen Canyon Dam Adaptive
     Management Program (GCDAMP).
   additionalType: personal statement
 email: ltango@usgs.gov
 hasCredential:
 - '@type': EducationalOccupationalCredential
   name: '2023: M.S., Environmental Science and Policy, Northern Arizona University,
     Flagstaff, AZ'
 - '@type': EducationalOccupationalCredential
   name: '2020: B.S., Environmental Studies with a minor in Geographic Information
     Science, Utah State University, Logan, UT'
 - '@type': EducationalOccupationalCredential
   name: '2016: A.A., Outdoor Recreation Leadership, Feather River College. Quincy,
     CA'
 hasOccupation:
 - '@type': OrganizationalRole
   affiliatedOrganization:
     '@type': Organization
     name: Southwest Biological Science Center
     url: https://www.usgs.gov/centers/southwest-biological-science-center
   roleName: Geographer
   startDate: '2024-05-12T14:26:28.569164'
 - '@type': Occupation
   additionalType: self-claimed professional experience
   name: "2023 \u2013 Present: Geographer, U.S. Geological Survey, Southwest Biological\
     \ Science Center, Grand Canyon Monitoring and Research Center, Flagstaff, AZ"
 - '@type': Occupation
   additionalType: self-claimed professional experience
   name: "2021 \u2013 2023: Research Assistant, Northern Arizona University, Flagstaff,\
     \ AZ"
 - '@type': Occupation
   additionalType: self-claimed professional experience
   name: '2018-2020: Undergraduate Research Assistant, Utah State University, Logan,
     UT'
 identifier:
 - '@type': PropertyValue
   propertyID: GeoKB
   value: https://geokb.wikibase.cloud/entity/Q166060
 - '@type': PropertyValue
   propertyID: ORCID
   value: 0000-0003-3350-1031
 jobTitle: Geographer
 knowsAbout:
 - '@type': Thing
   additionalType: self-claimed expertise
   name: Fluvial Geomorphology
 - '@type': Thing
   additionalType: self-claimed expertise
   name: Remote Sensing
 - '@type': Thing
   additionalType: self-claimed expertise
   name: Terrestrial Lidar
 - '@type': Thing
   additionalType: self-claimed expertise
   name: ArcGIS Pro and Map
 - '@type': Thing
   additionalType: self-claimed expertise
   name: Colorado River
 - '@type': Thing
   additionalType: self-claimed expertise
   name: Grand Canyon
 memberOf:
   '@type': OrganizationalRole
   member:
     '@type': Organization
     name: U.S. Geological Survey
   name: staff member
   startDate: '2024-05-12T14:26:28.566653'
 name: Lauren Tango
 url: https://www.usgs.gov/staff-profiles/lauren-tango
Return to "Q166060" page.