Item talk:Q48494

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Revision as of 17:45, 30 September 2023 by Sky (talk | contribs) (Added profile data from https://www.usgs.gov/staff-profiles/nathaniel-k-pasley)
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usgs_staff_profile:

 meta:
   status_code: 200
   timestamp: '2023-09-30T17:45:57.669381'
   url: https://www.usgs.gov/staff-profiles/nathaniel-k-pasley
 profile:
   abstracts: []
   affiliations: []
   education:
   - M.S. Geography, Texas State University, San Marcos, TX, 2022
   - B.S. Geographic Information Science, Texas State University, San Marcos, TX,
     2019
   email: npasley@usgs.gov
   expertise_terms:
   - Geographic Information Systems
   - Geospatial Data Analysis
   - Remote Sensing
   - Workflow Ideation and Automation
   - Machine Learning
   - Software Development
   - Groundwater
   honors: []
   intro_statements:
   - Nathan Pasley is a computational geographer for the Oklahoma-Texas Water Science
     Center based in Austin, Texas.
   name: Nathaniel K Pasley
   name_qualifier: null
   orcid: null
   organization_link: https://www.usgs.gov/centers/oklahoma-texas-water-science-center
   organization_name: Oklahoma-Texas Water Science Center
   personal_statement: Nathan worked with the USGS since 2018 and has been involved
     in various projects including groundwater studies, geophysical logging, remote
     sensing, field data collection, water-use, web-mapping, and app development.
     His research interests include mapping surface water extent, among other variables,
     using remote sensing-based inundation modeling in Python, and developing internal
     software tools that increase workflow efficiency.
   professional_experience: []
   title: Computational Geographer