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orcid:
ORCiD:
   meta:
   meta:
     status_code: 200
     status_code: 200
Line 579: Line 579:
         source: null
         source: null
         visibility: public
         visibility: public
usgs_staff_profile:
USGS Staff Profile:
   meta:
   '@context': https://schema.org
    url: https://www.usgs.gov/staff-profiles/itiya-p-aneece
  '@type': Person
     timestamp: '2024-01-30T09:51:11.704542'
  affiliation: []
     status_code: 200
  description:
   profile:
  - '@type': TextObject
     name: Itiya P Aneece
    abstract: Research Geographer with the Western Geographic Science Center
     name_qualifier: null
     additionalType: short description
    titles:
  - '@type': TextObject
    - Research Geographer
    abstract: Itiya Aneece is currently a Research Geographer at the U.S. Geological
     organizations:
      Survey (USGS) in Flagstaff, AZ, USA.
    - !!python/tuple
     additionalType: staff profile page introductory statement
       - Western Geographic Science Center
   - '@type': TextObject
       - https://www.usgs.gov/centers/western-geographic-science-center
     abstract: Dr. Itiya Aneece is a Research Geographer at the U.S. Geological Survey
     email: ianeece@usgs.gov
      Western Geographic Science Center using remote sensing to study globally dominant
     orcid: 0000-0002-1201-5459
      agricultural crops. She earned a PhD in Environmental Sciences from the University
    intro_statements:
      of Virginia, where she conducted her dissertation research on studying the impacts
    - Itiya Aneece is currently a Research Geographer at the U.S. Geological Survey
      of invasive plant species in abandoned agricultural fields using ground-level
      (USGS) in Flagstaff, AZ, USA.
      hyperspectral remote sensing. As a Mendenhall Postdoc, she used Hyperion images
     expertise_terms:
      to study globally major agricultural crops using Google Earth Engine. Her research
     - Remote Sensing
      interests include big data analysis, machine learning, cloud computing, and
     - Crops
      agricultural study.
     - Invasive Plant Species
     additionalType: personal statement
     - Big Data Analysis
  email: ianeece@usgs.gov
     - Machine Learning
  hasCredential: []
     - Hyperspectral remote sensing
  hasOccupation:
     - Machine learning and cloud computing
  - '@type': OrganizationalRole
    - Crop water productivity
     affiliatedOrganization:
    professional_experience: []
      '@type': Organization
     education: []
       name: Western Geographic Science Center
     affiliations: []
       url: https://www.usgs.gov/centers/western-geographic-science-center
    honors: []
     roleName: Research Geographer
     abstracts: []
    startDate: '2024-05-12T16:12:35.902849'
     personal_statement: At the USGS, she is working with the Western Geographic Science
  identifier:
       Center using hyperspectral and multispectral remote sensing to study globally
  - '@type': PropertyValue
       dominant agricultural crops. She is also working on a variety of projects with
    propertyID: GeoKB
      the Astrogeology Science Center. Dr. Aneece earned a PhD in Environmental Sciences
    value: https://geokb.wikibase.cloud/entity/Q44512
      from the University of Virginia, where she conducted her dissertation research
  - '@type': PropertyValue
      on studying the impacts of invasive plant species on secondary successional
    propertyID: ORCID
      dynamics in abandoned agricultural fields using ground-level hyperspectral remote
     value: 0000-0002-1201-5459
      sensing. She has also recently completed a Mendenhall Postdoctoral Fellowship
  jobTitle: Research Geographer
      within the Western Geographic Science Center, in which she studied crops using
  knowsAbout:
      Hyperion hyperspectral satellite data in Google Earth Engine.
  - '@type': Thing
     additionalType: self-claimed expertise
     name: Remote Sensing
  - '@type': Thing
     additionalType: self-claimed expertise
    name: Crops
  - '@type': Thing
     additionalType: self-claimed expertise
    name: Invasive Plant Species
  - '@type': Thing
     additionalType: self-claimed expertise
    name: Big Data Analysis
  - '@type': Thing
     additionalType: self-claimed expertise
    name: Machine Learning
  - '@type': Thing
     additionalType: self-claimed expertise
    name: Hyperspectral remote sensing
  - '@type': Thing
     additionalType: self-claimed expertise
    name: Machine learning and cloud computing
  - '@type': Thing
     additionalType: self-claimed expertise
     name: Crop water productivity
  memberOf:
     '@type': OrganizationalRole
     member:
       '@type': Organization
       name: U.S. Geological Survey
    name: staff member
    startDate: '2024-05-12T16:12:35.900189'
  name: Itiya P Aneece
  url: https://www.usgs.gov/staff-profiles/itiya-p-aneece
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