Âé¶¹Ó°Òô

Skip to main content
  • Partnerships
  • Visit
  • Contact
Oak Ridge National Laboratory Oak Ridge National Laboratory
Menu
  • Âé¶¹Ó°Òô
    • Biology & Environment
    • Energy Science
    • Fusion & Fission
    • Isotopes
    • Physical Sciences
    • National Security
    • Supercomputing
  • Work With Us
    • User Facilities
  • About Us
    • Overview
    • Leadership Team
    • Initiatives
    • Visiting ORNL
    • Our Values
    • Community
    • History
    • Fact Sheets
    • Virtual Tour
  • News
Hit enter to search or ESC to close
Clinton Stipek

Clinton Stipek

Geospatial Data Curator

Contact

STIPEKCW@ORNL.GOV

All Publications

A segmented approach to modeling building height: Delineating high-rise and low-rise buildings for enhanced height estimation
Detecting Important Drivers of Gridded Population Modeling With Machine Learning...
SIGHT: Stacked Integration of Geospatial Hierarchical Typologies for Inferring Building Characteristics...
At Risk Population Estimates for Belarus, Poland and Slovakia with Machine Learning
Inferring building height from footprint morphology data
Empirically Categorizing the Built Environment in Relation to Height

Key Links

Curriculum Vitae

Organizations

National Security Sciences Directorate
Geospatial Science and Human Security Division
Human Dynamics Section
Geospatial Data Modeling

Related News

News

Global building height prediction made easy with machine learning
Oak Ridge National Lab logo

Oak Ridge National Laboratory
1 Bethel Valley Road
Oak Ridge, TN 37830

(+1) 865.576.7658

Connect With Us

  • Partnerships
  • Visit
  • Contact

News

  • Newsroom
  • Media Contacts

Research

  • Âé¶¹Ó°Òô
  • User Facilities
  • Centers & Institutes

Resources

  • Internal Users
  • Directory
Oak Ridge National Laboratory is Âé¶¹Ó°Òô for the US Department of Energy
  • Privacy
  • Accessibility/508
  • Nondiscrimination/1557