Prospective Students

I am looking for 1-2 MA or PhD students who are interested in developing remote sensing methodologies and machine learning algorithms for quantifying ecosystem response. Some areas of research could include:

  • Mapping vegetation and monitoring seasonal changes in vegetation

  • Measuring vegetation response to disturbances such as drought

  • Developing algorithms and methodologies for image processing that transform the data into manageable and applicable information

  • Exploring synergies between optical, thermal, and active remote sensing data sources

Students working with me will take coursework in Geography and other disciplines, such as Biology/Ecology, Biostatistics, and Computer Science. PhD students are typically funded through teaching assistantships. I make every attempt to support students on research assistantships on my projects. The ideal candidate for graduate study should have some combination of the following skills: programming/statistical computing (MATLAB, python, R, etc.), remote sensing, GIS, machine learning, or ecology.

Please contact me via email ( if you are interested in applying to work with me on a MA or PhD. In the email, describe what type of remote sensing research is of particular interest to you, what led you to your interest in geography, and attach a resume/CV. We can then set up a phone call or Zoom call to chat in more detail. All of the information about how to apply to the MA or PhD program in Geographical & Sustainability Sciences is available on the departmental website.