Item talk:Q44512: Difference between revisions

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USGS Staff Profile:
USGS Staff Profile:
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Revision as of 19:13, 23 May 2024

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 - count: 1
   display_name: Date Palm (Phoenix dactylifera) Research
   domain:
     display_name: Life Sciences
     id: https://openalex.org/domains/1
   field:
     display_name: Agricultural and Biological Sciences
     id: https://openalex.org/fields/11
   id: https://openalex.org/T12894
   subfield:
     display_name: Plant Science
     id: https://openalex.org/subfields/1110
 - count: 1
   display_name: Machine Learning for Mineral Prospectivity Mapping
   domain:
     display_name: Physical Sciences
     id: https://openalex.org/domains/3
   field:
     display_name: Computer Science
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   subfield:
     display_name: Artificial Intelligence
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 - count: 1
   display_name: Deficit Irrigation for Agricultural Water Management
   domain:
     display_name: Life Sciences
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   field:
     display_name: Agricultural and Biological Sciences
     id: https://openalex.org/fields/11
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   subfield:
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 - count: 1
   display_name: Remote Sensing of Soil Moisture
   domain:
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 updated_date: '2024-05-17T20:48:15.985906'

USGS Staff Profile:

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 '@type': Person
 affiliation: []
 description:
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   abstract: Research Geographer with the Western Geographic Science Center
   additionalType: short description
 - '@type': TextObject
   abstract: Itiya Aneece is currently a Research Geographer at the U.S. Geological
     Survey (USGS) in Flagstaff, AZ, USA.
   additionalType: staff profile page introductory statement
 - '@type': TextObject
   abstract: Dr. Itiya Aneece is a Research Geographer at the U.S. Geological Survey
     Western Geographic Science Center using remote sensing to study globally dominant
     agricultural crops. She 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 in abandoned agricultural fields using ground-level
     hyperspectral remote sensing. As a Mendenhall Postdoc, she used Hyperion images
     to study globally major agricultural crops using Google Earth Engine. Her research
     interests include big data analysis, machine learning, cloud computing, and
     agricultural study.
   additionalType: personal statement
 email: ianeece@usgs.gov
 hasCredential: []
 hasOccupation:
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   affiliatedOrganization:
     '@type': Organization
     name: Western Geographic Science Center
     url: https://www.usgs.gov/centers/western-geographic-science-center
   roleName: Research Geographer
   startDate: '2024-05-12T16:12:35.902849'
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   propertyID: GeoKB
   value: https://geokb.wikibase.cloud/entity/Q44512
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   propertyID: ORCID
   value: 0000-0002-1201-5459
 jobTitle: Research Geographer
 knowsAbout:
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   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
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   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