Item talk:Q44512: Difference between revisions
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ORCiD: | |||
meta: | meta: | ||
status_code: 200 | status_code: 200 | ||
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visibility: public | visibility: public | ||
USGS Staff Profile: | |||
'@context': https://schema.org | |||
'@type': Person | |||
affiliation: [] | |||
description: | |||
- '@type': TextObject | |||
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 | |||
- 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 | ||
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' | |||
identifier: | |||
- '@type': PropertyValue | |||
propertyID: GeoKB | |||
value: https://geokb.wikibase.cloud/entity/Q44512 | |||
- '@type': PropertyValue | |||
propertyID: ORCID | |||
value: 0000-0002-1201-5459 | |||
jobTitle: Research Geographer | |||
knowsAbout: | |||
- '@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 |
Revision as of 17:55, 12 May 2024
ORCiD:
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USGS Staff Profile:
'@context': https://schema.org '@type': Person affiliation: [] description: - '@type': TextObject 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: - '@type': OrganizationalRole 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' identifier: - '@type': PropertyValue propertyID: GeoKB value: https://geokb.wikibase.cloud/entity/Q44512 - '@type': PropertyValue propertyID: ORCID value: 0000-0002-1201-5459 jobTitle: Research Geographer knowsAbout: - '@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