Brian Becker

Brian Becker is a Professor in the Department of Geography and Environmental Studies and affiliated with the Institute for Great Lakes Research. His expertise bridges remote sensing technology and environmental science, with specialized focus on wetland ecology and aquatic system monitoring through advanced spectral analysis techniques.

His academic foundation includes:

• Ph.D. from Michigan State University (2002)
• M.S. from University of Illinois (1993)
• B.S. from Eastern Illinois University (1989)

Professor Becker's research program centers on developing and applying remote sensing methodologies for environmental assessment. He pioneers techniques for water quality parameter estimation (particularly CDOM and chlorophyll-a) in optically complex inland waters, utilizes hyperspectral data for wetland characterization, and creates algorithms for invasive species mapping. His work integrates field spectroscopy with satellite imagery to address challenges in freshwater ecosystems, with emphasis on spatio-temporal dynamics and algorithm validation for practical environmental management applications.

Analysis of his 14 publications (2005-2018) reveals consistent innovation in remote sensing of aquatic environments. Key contributions include developing semi-analytical models for CDOM in shallow waters, optimizing spectral band selection for wetland monitoring, and creating spatial analysis techniques for large raster datasets. His research demonstrates strong methodological rigor while addressing real-world environmental challenges across the Great Lakes region and international sites like China's West Lake.

As an educator, Professor Becker teaches Geographic Information Sciences, Remote Sensing, Image Processing, Environmental Science, and CAD Mapping for GIS. His affiliation with the Institute for Great Lakes Research provides students access to interdisciplinary freshwater research opportunities. While specific current grant details aren't provided, his extensive publication record in high-impact journals indicates sustained research activity with potential for student involvement in field campaigns, algorithm development, and environmental monitoring projects.