Item talk:Q44512

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Revision as of 16:37, 30 September 2023 by Sky (talk | contribs) (Added profile data from https://www.usgs.gov/staff-profiles/itiya-p-aneece)
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usgs_staff_profile:

 meta:
   status_code: 200
   timestamp: '2023-09-30T16:37:19.494687'
   url: https://www.usgs.gov/staff-profiles/itiya-p-aneece
 profile:
   abstracts: []
   affiliations: []
   education: []
   email: ianeece@usgs.gov
   expertise_terms:
   - Remote Sensing
   - Crops
   - Invasive Plant Species
   - Big Data Analysis
   - Machine Learning
   - Hyperspectral remote sensing
   - Machine learning and cloud computing
   - Crop water productivity
   honors: []
   intro_statements:
   - Itiya Aneece is currently a Research Geographer at the U.S. Geological Survey
     (USGS) in Flagstaff, AZ, USA.
   name: Itiya P Aneece
   name_qualifier: null
   orcid: 0000-0002-1201-5459
   organization_link: https://www.usgs.gov/centers/western-geographic-science-center
   organization_name: Western Geographic Science Center
   personal_statement: At the USGS, she is working with the Western Geographic Science
     Center using hyperspectral and multispectral remote sensing to study globally
     dominant agricultural crops. She is also working on a variety of projects with
     the Astrogeology Science Center. Dr. Aneece earned a PhD in Environmental Sciences
     from the University of Virginia, where she conducted her dissertation research
     on studying the impacts of invasive plant species on secondary successional
     dynamics in abandoned agricultural fields using ground-level hyperspectral remote
     sensing. She has also recently completed a Mendenhall Postdoctoral Fellowship
     within the Western Geographic Science Center, in which she studied crops using
     Hyperion hyperspectral satellite data in Google Earth Engine.
   professional_experience: []
   title: Research Geographer