The information provided on this page has been contributed by the individual alumnus

Thomas Bilintoh

M.S. in Geography 2019

Research Synopsis:

I consider myself a GIS & Remote Sensing analyst at core.  However, my main concentration is how users and experts of geospatial data handle uncertainty. My approach basically revolves around using probability, statistics and fuzzy set theory to depict how uncertainty can be handed in geospatial data in the field of GIS and Remote Sensing.

I have applied these methods in a variety of research involving: site suitability such as landfill selection, electric pylon route selection and my most recent work which is focusing on using remotely sensed images and statistical models to characterize the extent of damage on maize as a result of Amyworm infestation in Brong Ahafo-Ghana.