Item talk:Q48494: Difference between revisions

From geokb
(Added profile data from https://www.usgs.gov/staff-profiles/nathaniel-k-pasley)
 
(Updated item talk page content)
Line 1: Line 1:
usgs_staff_profile:
usgs_staff_profile:
   meta:
   meta:
    url: https://www.usgs.gov/staff-profiles/nathaniel-k-pasley
    timestamp: '2024-01-31T04:26:47.746280'
     status_code: 200
     status_code: 200
    timestamp: '2023-09-30T17:45:57.669381'
    url: https://www.usgs.gov/staff-profiles/nathaniel-k-pasley
   profile:
   profile:
     abstracts: []
     name: Nathaniel K Pasley
     affiliations: []
     name_qualifier: null
     education:
     titles:
     - M.S. Geography, Texas State University, San Marcos, TX, 2022
     - Computational Geographer
     - B.S. Geographic Information Science, Texas State University, San Marcos, TX,
    organizations:
       2019
     - !!python/tuple
      - Oklahoma-Texas Water Science Center
       - https://www.usgs.gov/centers/oklahoma-texas-water-science-center
     email: npasley@usgs.gov
     email: npasley@usgs.gov
    orcid: null
    intro_statements:
    - Nathan Pasley is a computational geographer for the Oklahoma-Texas Water Science
      Center based in Austin, Texas.
     expertise_terms:
     expertise_terms:
     - Geographic Information Systems
     - Geographic Information Systems
Line 20: Line 26:
     - Software Development
     - Software Development
     - Groundwater
     - Groundwater
    professional_experience: []
    education:
    - M.S. Geography, Texas State University, San Marcos, TX, 2022
    - B.S. Geographic Information Science, Texas State University, San Marcos, TX,
      2019
    affiliations: []
     honors: []
     honors: []
     intro_statements:
     abstracts: []
    - 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
     personal_statement: Nathan worked with the USGS since 2018 and has been involved
       in various projects including groundwater studies, geophysical logging, remote
       in various projects including groundwater studies, geophysical logging, remote
Line 35: Line 40:
       using remote sensing-based inundation modeling in Python, and developing internal
       using remote sensing-based inundation modeling in Python, and developing internal
       software tools that increase workflow efficiency.
       software tools that increase workflow efficiency.
    professional_experience: []
    title: Computational Geographer

Revision as of 11:26, 31 January 2024

usgs_staff_profile:

 meta:
   url: https://www.usgs.gov/staff-profiles/nathaniel-k-pasley
   timestamp: '2024-01-31T04:26:47.746280'
   status_code: 200
 profile:
   name: Nathaniel K Pasley
   name_qualifier: null
   titles:
   - Computational Geographer
   organizations:
   - !!python/tuple
     - Oklahoma-Texas Water Science Center
     - https://www.usgs.gov/centers/oklahoma-texas-water-science-center
   email: npasley@usgs.gov
   orcid: null
   intro_statements:
   - Nathan Pasley is a computational geographer for the Oklahoma-Texas Water Science
     Center based in Austin, Texas.
   expertise_terms:
   - Geographic Information Systems
   - Geospatial Data Analysis
   - Remote Sensing
   - Workflow Ideation and Automation
   - Machine Learning
   - Software Development
   - Groundwater
   professional_experience: []
   education:
   - M.S. Geography, Texas State University, San Marcos, TX, 2022
   - B.S. Geographic Information Science, Texas State University, San Marcos, TX,
     2019
   affiliations: []
   honors: []
   abstracts: []
   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.