Kerner, Hannah

Degrees

  • Computer Science, University of North Carolina at Chapel Hill - BS

  • Exploration Systems Design, Arizona State University - PhD

Areas of Interest

  • Machine learning
  • Deep learning
  • Anomaly detection
  • Remote sensing
  • Agricultural monitoring
  • Food security

Research Topics

  • Geospatial Information Science and Remote Sensing
  • Land Cover - Land Use Change
  • Nakalembe, Catherine, and Hannah R. Kerner. "Considerations for AI-EO for agriculture in Sub-Saharan Africa." Environmental Research Letters (2023).

  • Kerner, H. R., Sahajpal, R., Pai, D. B., Skakun, S., Puricelli, E., Hosseini, M., ... & Becker-Reshef, I. (2022). Phenological normalization can improve in-season classification of maize and soybean: A case study in the central US Corn Belt.

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Hannah Kerner
Adjunct Assistant Professor

| 4600 River Road, Suite 373 (send mail to 2181 LeFrak)

| hkerner@umd.edu

| (301) 405-8165