Racine D. Cleveland

Planetary Science Postdoctoral Research Fellow

Dr. Racine D. Cleveland is a GIS and remote sensing scientist and Planetary Science Postdoctoral Research Fellow at Boise State University in the Department of Physics and Astronomy under the advisement of Dr. Brian Jackson. Her expertise spans geospatial analysis, geodatabases, planetary remote sensing, Python automation, and scientific data management. Her work combines GIS, UAV-enabled field campaigns, remote sensing, and comparative planetology to investigate volatile-driven and aeolian processes across Earth and planetary environments. She has extensive experience developing GIS workflows, teaching and developing GIS courses, managing large imagery datasets, and applying geospatial technologies to NASA planetary datasets.

Skills & Certifications

Work Experience

Postdoctoral Research Fellow — Boise State University 2026–Present
  • Supervise undergraduate research on Martian dust devil physics
  • Mentor students through project design, analysis, and writing
  • Lead research and outreach including publications and observatory programs
Teaching Assistant — University of Arkansas
  • Physical Geology (2024)
  • Geodatabases, Spatial Analysis, GIS Applications (2020)
  • Earth Science Lab (2019)
Class Developer — University of Arkansas Summer 2020
  • Spatial Analysis using ArcGIS
  • Introduction to Geodatabases
  • Geospatial Applications
Student Research Assistant — Unmanned Systems Research Institute October 2018 – July 2019
  • UAV and satellite image comparison
  • Part 107 flight operations
GIS Technician — Oklahoma State University May 2018 – May 2019
  • Converted infrastructure data from AutoCAD to GIS

Education

Ph.D., Space and Planetary Science — University of Arkansas Feb 2026

Of Dunes and Ice: A Surface–Atmosphere Investigation of Mars CO₂ Sublimation Features and Titan Aeolian Fields

B.S., Geography — Oklahoma State University May 2019

GIS Certificate

Funded Research

NASA MDAP Research — University of Arkansas
  • Quantified evolution of Martian South Polar Residual Cap
  • o To accomplish this objective, we will determined the size of the pits as a function of time for every location where multiple images of pits overlap. We then developed and use an object-based image method to automatically identify and measure attributes of sublimation pits. Then from multiple measurements, we calculated the surface area evolution over time.
  • Published in Remote Sensing (2025)
  • Grant number #80NSSC21K1089

Publications

ORCID iD icon https://orcid.org/0009-0003-9716-8968

Cleveland, R. D., Chevrier, V. F., & Tullis, J. A. (2025). Framework for Mapping Sublimation Features on Mars’ South Polar Cap Using Object-Based Image Analysis Remote Sensing, 17(14), 2372.

Professional Presentations

Field Work

Dust Devils in Action - Alvord Desert (2026)

NASA Dragonfly Field Campaign — Namib Sand Sea (2025)