Item talk:Q44512: Difference between revisions
From geokb
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meta: | meta: | ||
url: https://www.usgs.gov/staff-profiles/itiya-p-aneece | |||
timestamp: '2024-01-30T09:51:11.704542' | |||
status_code: 200 | status_code: 200 | ||
profile: | profile: | ||
name: Itiya P Aneece | |||
name_qualifier: null | |||
titles: | |||
- Research Geographer | |||
organizations: | |||
- !!python/tuple | |||
- Western Geographic Science Center | |||
- https://www.usgs.gov/centers/western-geographic-science-center | |||
email: ianeece@usgs.gov | email: ianeece@usgs.gov | ||
orcid: 0000-0002-1201-5459 | |||
intro_statements: | |||
- Itiya Aneece is currently a Research Geographer at the U.S. Geological Survey | |||
(USGS) in Flagstaff, AZ, USA. | |||
expertise_terms: | expertise_terms: | ||
- Remote Sensing | - Remote Sensing | ||
| Line 598: | Line 607: | ||
- Machine learning and cloud computing | - Machine learning and cloud computing | ||
- Crop water productivity | - Crop water productivity | ||
professional_experience: [] | |||
education: [] | |||
affiliations: [] | |||
honors: [] | honors: [] | ||
abstracts: [] | |||
personal_statement: At the USGS, she is working with the Western Geographic Science | personal_statement: At the USGS, she is working with the Western Geographic Science | ||
Center using hyperspectral and multispectral remote sensing to study globally | Center using hyperspectral and multispectral remote sensing to study globally | ||
| Line 617: | Line 622: | ||
within the Western Geographic Science Center, in which she studied crops using | within the Western Geographic Science Center, in which she studied crops using | ||
Hyperion hyperspectral satellite data in Google Earth Engine. | Hyperion hyperspectral satellite data in Google Earth Engine. | ||
Revision as of 16:51, 30 January 2024
orcid:
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usgs_staff_profile:
meta: url: https://www.usgs.gov/staff-profiles/itiya-p-aneece timestamp: '2024-01-30T09:51:11.704542' status_code: 200 profile: name: Itiya P Aneece name_qualifier: null titles: - Research Geographer organizations: - !!python/tuple - Western Geographic Science Center - https://www.usgs.gov/centers/western-geographic-science-center email: ianeece@usgs.gov orcid: 0000-0002-1201-5459 intro_statements: - Itiya Aneece is currently a Research Geographer at the U.S. Geological Survey (USGS) in Flagstaff, AZ, USA. expertise_terms: - Remote Sensing - Crops - Invasive Plant Species - Big Data Analysis - Machine Learning - Hyperspectral remote sensing - Machine learning and cloud computing - Crop water productivity professional_experience: [] education: [] affiliations: [] honors: [] abstracts: [] 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.
