2015 - Reverse engineering the National Land Cover Database: a machine learning algorithm for extending land cover data in the spatial and temporal domains.
My research interests are in modeling Spatial and temporal processes by intersecting GIScience, remote sensing, and spatial statistics. I am currently working on an information extraction methodology to produce annual land cover data from NLCD, employing change detection techniques from remote sensing and Fuzzy Set theory. Underlying this research are questions regarding data quality, uncertainty, and efficiency in analyzing large datasets. I also do research in demographic modeling and spatial methodologies for human geography. In particular, I am interested in how models of population-environment interactions perform differently at multiple scales of analysis.
Faculty Advisors: Stefan Leyk and Fernando Riosmena
Labs & Facilities
The Meridian Lab is directed by Professor Barbara P. Buttenfield and pursues research to develop and evaluate new software tools for Geographic Information Science. These software tools support...